Index (Stanford JavaNLP API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

A

AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
abbreviation - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
AbbreviationMap(boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.AbbreviationMap: Creates a new instance of AbreviationMap with some know abbreviations
AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
AbishekFrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french: Head finding rules from Arun Abishek's master's thesis.
AbishekFrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.AbishekFrenchHeadFinder
AbishekFrenchHeadFinder(FrenchTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.AbishekFrenchHeadFinder
about() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
aboveLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns |c1 - c2|.
absolutelyDiscountedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
AbstractBatchOptimizer - Class in edu.stanford.nlp.loglinear.learning: Created on 8/26/15.
AbstractBatchOptimizer() - Constructor for class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer
AbstractBatchOptimizer.OptimizationState - Class in edu.stanford.nlp.loglinear.learning: This is subclassed by children to store any state they need to perform optimization
AbstractCachingDiffFloatFunction - Class in edu.stanford.nlp.optimization
AbstractCachingDiffFloatFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
AbstractCachingDiffFunction - Class in edu.stanford.nlp.optimization: A differentiable function that caches the last evaluation of its value and derivative.
AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
AbstractCollinizer - Interface in edu.stanford.nlp.parser.lexparser: Interface for the Collinizers
TODO: pass in both the guess and the gold
AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees: A base class for a HeadFinder similar to the one described in Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Construct a HeadFinder.
AbstractCoreLabel - Interface in edu.stanford.nlp.ling
AbstractCounter<E> - Class in edu.stanford.nlp.stats: Default implementations of all the convenience methods provided by Counter.
AbstractCounter() - Constructor for class edu.stanford.nlp.stats.AbstractCounter
AbstractDataSeries() - Constructor for class edu.stanford.nlp.stats.DataSeries.AbstractDataSeries
AbstractDataset - Class in edu.stanford.nlp.trees.treebank
AbstractDataset() - Constructor for class edu.stanford.nlp.trees.treebank.AbstractDataset
AbstractDataset.SplitFilter - Class in edu.stanford.nlp.trees.treebank
AbstractDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser: An abstract base class for dependency grammars.
AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
AbstractDifferentiableFunction<T> - Class in edu.stanford.nlp.loglinear.learning: Created on 8/26/15.
AbstractDifferentiableFunction() - Constructor for class edu.stanford.nlp.loglinear.learning.AbstractDifferentiableFunction
AbstractEval - Class in edu.stanford.nlp.parser.metrics: A framework for Set-based precision/recall/F1 evaluation.
AbstractEval() - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval.CatErrorEval - Class in edu.stanford.nlp.parser.metrics: This class counts which categories are over and underproposed in trees.
AbstractEval.RuleErrorEval - Class in edu.stanford.nlp.parser.metrics
AbstractEval.ScoreEval - Class in edu.stanford.nlp.parser.metrics: This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractEvaluate - Class in edu.stanford.nlp.sentiment
AbstractEvaluate(RNNOptions) - Constructor for class edu.stanford.nlp.sentiment.AbstractEvaluate
AbstractEvaluator() - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils.AbstractEvaluator
AbstractInputStreamAnnotationCreator - Class in edu.stanford.nlp.pipeline: Creates a stub implementation for creating annotation from various input sources using InputStream as the main input source
AbstractInputStreamAnnotationCreator() - Constructor for class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
AbstractIterator<E> - Class in edu.stanford.nlp.util: Iterator with remove() defined to throw an UnsupportedOperationException.
AbstractIterator() - Constructor for class edu.stanford.nlp.util.AbstractIterator
AbstractLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify: Shared methods for training a LinearClassifier.
AbstractLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
AbstractListProcessor<IN,OUT,L,F> - Class in edu.stanford.nlp.process: Class AbstractListProcessor
AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
AbstractMatchCostFunction() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
AbstractPronounResolver - Class in edu.stanford.nlp.scenegraph
AbstractPronounResolver() - Constructor for class edu.stanford.nlp.scenegraph.AbstractPronounResolver
AbstractPronounResolver.TestExample - Class in edu.stanford.nlp.scenegraph
AbstractSceneGraphParser - Class in edu.stanford.nlp.scenegraph
AbstractSceneGraphParser() - Constructor for class edu.stanford.nlp.scenegraph.AbstractSceneGraphParser
AbstractSequenceClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie: This class provides common functionality for (probabilistic) sequence models.
AbstractSequenceClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier: Construct a SeqClassifierFlags object based on the passed in properties, and then call the other constructor.
AbstractSequenceClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier: Initialize the featureFactory and other variables based on the passed in flags.
AbstractStochasticCachingDiffFunction - Class in edu.stanford.nlp.optimization
AbstractStochasticCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
AbstractStochasticCachingDiffFunction.SamplingMethod - Enum in edu.stanford.nlp.optimization
AbstractStochasticCachingDiffUpdateFunction - Class in edu.stanford.nlp.optimization: Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative).
AbstractStochasticCachingDiffUpdateFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
AbstractStringAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
AbstractTextAnnotationCreator - Class in edu.stanford.nlp.pipeline: Creates a stub implementation for creating annotation from various input sources using String as the main input source
AbstractTextAnnotationCreator() - Constructor for class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
AbstractToken - Interface in edu.stanford.nlp.ling: An abstract token.
AbstractTokenizer<T> - Class in edu.stanford.nlp.process: An abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
AbstractTreebankLanguagePack - Class in edu.stanford.nlp.trees: This provides an implementation of parts of the TreebankLanguagePack API to reduce the load on fresh implementations.
AbstractTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Gives a handle to the TreebankLanguagePack.
AbstractTreebankLanguagePack(char) - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Gives a handle to the TreebankLanguagePack.
AbstractTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: An abstract class providing a common method base from which to complete a TreebankLangParserParams implementing class.
AbstractTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Stores the passed-in TreebankLanguagePack and sets up charset encodings.
AbstractTreebankParserParams.AnnotatePunctuationFunction - Class in edu.stanford.nlp.parser.lexparser: Annotation function for mapping punctuation to PTB-style equivalence classes.
AbstractTreebankParserParams.RemoveGFSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser: The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreebankParserParams.SubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser: The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreeExtractor<T> - Class in edu.stanford.nlp.parser.lexparser: An abstract superclass for parser classes that extract counts from Trees.
AbstractTreeExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
AbstractUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
AbstractUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter: Checks whether a file satisfies the selection filter.
ACCEPT - Static variable in interface edu.stanford.nlp.io.Lexer
accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter: Checks whether a file satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter: Checks whether a file satisfies the number range selection filter.
accept(String) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter: Checks whether a String satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.RegExFileFilter: Checks whether a file satisfies the selection filter.
accept(File) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.SplitFilter
accept(File) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset.SplitFilter
acceptableHyphenMergeTags - Static variable in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
acceptableMWTPostSplitTags - Static variable in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters: The acceptFilter accepts everything.
accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
accuracy(Iterator<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
accuracy() - Method in class edu.stanford.nlp.classify.PRCurve
Accuracy() - Constructor for class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
AccuracyStats<L> - Class in edu.stanford.nlp.stats: Utility class for aggregating counts of true positives, false positives, and false negatives and computing precision/recall/F1 stats.
AccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
AccuracyStats(L, String) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
ACE2004_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
ACE2005_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
AceCharSeq - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Implements the ACE <charseq> construct.
AceCharSeq(String, int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq: Token that incorporates this whole char sequence, e.g.
AceDocument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Stores the ACE elements annotated in this document
AceDocument(String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
AceDomReader - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: DOM reader for an ACE specification.
AceDomReader() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDomReader
AceElement - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Base class for all ACE annotation elements.
AceElement(String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
AceEntity - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Implements the ACE <entity> construct.
AceEntity(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
AceEntityMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Implements the ACE <entity_mention> construct.
AceEntityMention(String, String, String, AceCharSeq, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
AceEvent - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Stores one ACE event
AceEvent(String, String, String, String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
AceEventMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Stores one ACE event mention
AceEventMention(String, AceCharSeq, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
AceEventMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceEventMentionArgument(String, AceEntityMention) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMentionArgument
AceMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceMention(String, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
AceMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceMentionArgument(String, AceEntityMention, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
ACEMentionExtractor - Class in edu.stanford.nlp.dcoref: Extracts <COREF> mentions from a file annotated in ACE format (ACE2004, ACE2005).
ACEMentionExtractor(Dictionaries, Properties, Semantics) - Constructor for class edu.stanford.nlp.dcoref.ACEMentionExtractor
ACEMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) - Constructor for class edu.stanford.nlp.dcoref.ACEMentionExtractor
AceReader - Class in edu.stanford.nlp.ie.machinereading.domains.ace: Simple wrapper of Mihai's ACE code to ie.machinereading.structure objects.
AceReader() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader: Make an AceReader.
AceReader(StanfordCoreNLP, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
AceReader(StanfordCoreNLP, boolean, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
AceRelation - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Stores one ACE relation
AceRelation(String, String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
AceRelationMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader: Stores one ACE relation mention
AceRelationMention(String, AceCharSeq, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
AceRelationMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceRelationMentionArgument(String, AceEntityMention) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMentionArgument
AceSentenceSegmenter - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceSentenceSegmenter() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceSentenceSegmenter
AceToken - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceToken(String, String, String, String, String, String, String, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken: Constructs an AceToken from a tokenized line generated by Tokey
ACL_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
acos(double) - Static method in class edu.stanford.nlp.math.SloppyMath: Compute acos very quickly by directly looking up the value.
ACRONYM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
acronymCache - Variable in class edu.stanford.nlp.coref.data.Document
acronymCache - Variable in class edu.stanford.nlp.dcoref.Document
acronymMatch(String, String, HashMap) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
AcronymMatcher - Class in edu.stanford.nlp.util: A simple class with a variety of acronym matching utilities.
Action(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI.TransferActionListener
activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
active - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
adaAlpha - Variable in class edu.stanford.nlp.parser.nndep.Config: Initial global learning rate for AdaGrad training
adaDeltaRho - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
adaEps - Variable in class edu.stanford.nlp.parser.nndep.Config: An epsilon value added to the denominator of the AdaGrad expression for numerical stability
adaGrad(double, double) - Static method in class edu.stanford.nlp.coref.statistical.SimpleLinearClassifier
adaGradEps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
AdaGradOptimizationState() - Constructor for class edu.stanford.nlp.loglinear.learning.BacktrackingAdaGradOptimizer.AdaGradOptimizationState
adagradResetFrequency - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions: How many epochs between resets of the adagrad learning rates.
adapt(String, Dataset<String, String>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
adapt(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
adapt() - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
AdaptedGaussianPriorObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify: Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weights
AdaptedGaussianPriorObjectiveFunction(GeneralDataset<L, F>, LogPrior, double[][]) - Constructor for class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
adaptFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags: NER adaptation (Gaussian prior) parameters.
adaptSigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
adaptWeights(Dataset<L, F>, LinearClassifierFactory<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
adaptWeights(double[][], GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory: Adapt classifier (adjust the mean of Gaussian prior).
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.Dataset
add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.Dataset
add(Collection<F>, L, boolean) - Method in class edu.stanford.nlp.classify.Dataset
add(int[], int) - Method in class edu.stanford.nlp.classify.Dataset: Adds a datums defined by feature indices and label index Careful with this one! Make sure that all indices are valid!
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.RVFDataset
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedDataset
add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.WeightedDataset
add(Datum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
add(Collection<F>, L, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
add(RVFDatum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset: Add a datum, with a given weight.
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
add(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: adds vertices (if not already in the graph) and the edge between them
add(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph: Adds vertices (if not already in the graph) and the edge between them.
add() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: End the current feature, and add with suffixes.
add(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Add a feature (+ suffix).
add(K, NodePattern) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
add(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
add(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
add(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
add(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
add(Experiments) - Method in class edu.stanford.nlp.maxent.Experiments
add(Feature) - Method in class edu.stanford.nlp.maxent.Features
add(Feature) - Method in class edu.stanford.nlp.maxent.Problem
add(E) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
add(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Adds an Object to the underlying Collection of input sources.
add(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
add(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.LuceneSentenceIndex
add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.LuceneSentenceIndex
add(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.SentenceIndex: addProcessedText is true when inserting sentences for the first time
add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.SentenceIndex
add(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both.
add(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
add(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: increments every key in the counter by value
add(double) - Method in class edu.stanford.nlp.stats.DataSeries.ListDataSeries
add(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments: Adds a FeatureKey to the set of known FeatureKeys.
add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
add(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RefTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.SimpleTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
add(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
add(Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
add(E) - Method in class edu.stanford.nlp.util.ArrayHeap: Adds an object to the heap.
add(E) - Method in class edu.stanford.nlp.util.ArraySet: Adds element to set.
add(T) - Method in class edu.stanford.nlp.util.Beam
add(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Adds an object to the queue with the minimum priority (Double.NEGATIVE_INFINITY).
add(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want to use the return conditions of add().
add(E) - Method in class edu.stanford.nlp.util.BoundedPriorityQueue
add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds the value to the Collection mapped to by the key.
add(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
add(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix: Increments the entry for this guess and gold by 1.
add(U, U, int) - Method in class edu.stanford.nlp.util.ConfusionMatrix: Increments the entry for this guess and gold by the given increment amount.
add(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
add(E) - Method in class edu.stanford.nlp.util.DeltaIndex
add(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Adds a key to the queue with the given priority.
add(E) - Method in class edu.stanford.nlp.util.HashIndex: Adds an object to the Index.
add(E) - Method in interface edu.stanford.nlp.util.Heap: Adds the object to the heap.
add(E) - Method in class edu.stanford.nlp.util.IdentityHashSet: Adds the specified element to this set if it is not already present.
add(E) - Method in interface edu.stanford.nlp.util.Index
add(T) - Method in class edu.stanford.nlp.util.IntervalTree
add(IntervalTree.TreeNode<E, T>, T) - Method in class edu.stanford.nlp.util.IntervalTree
add(IntervalTree.TreeNode<E, T>, T, double) - Method in class edu.stanford.nlp.util.IntervalTree
add(int) - Method in class edu.stanford.nlp.util.IntUni
add(K, V) - Method in class edu.stanford.nlp.util.LeastRecentlyUsedCache
add(U, V) - Method in class edu.stanford.nlp.util.MapList
add(U, Collection<V>) - Method in class edu.stanford.nlp.util.MapList: Using the iterator order of values in the value, adds the individual elements into the list under the given key.
add(E) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet: Adds the element if the set is not already full.
add(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue: Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want to use the return conditions of add().
add(K1, K2, K3, V) - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap: Adds the value to the Collection mapped to by the key.
add(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap: Adds the value to the Collection mapped to by the key.
add(K1, K2, Collection<V>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap: Adds a collection of values to the Collection mapped to by the key.
add(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
ADD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
addActivePair(Pair<ExactAutomatonMinimizer.ExactBlock<TransducerGraph.Arc>, TransducerGraph.Arc>) - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.GeneralDataset: Adds all Datums in the given collection of data to this dataset
addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.RVFDataset
addAll(Collection<? extends String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
addAll(List<Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
addAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Adds all Objects in Collection c to the underlying Collection of input sources.
addAll(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Not yet implemented.
addAll(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Not yet implemented.
addAll(Collection<? extends List<IN>>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.AbstractCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in interface edu.stanford.nlp.stats.Counter: Adds the counts in the given Counter to the counts in this Counter.
addAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(TwoDimensionalCounterInterface<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
addAll(TwoDimensionalIntCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
addAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
addAll(int, Collection<? extends Tree>) - Method in class edu.stanford.nlp.trees.MemoryTreebank
addAll(Collection<T>, Iterable<? extends T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Add all the items from an iterable to a collection.
addAll(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds the values to the Collection mapped to by the key.
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds all of the mappings in m to this CollectionValuedMap.
addAll(CollectionValuedMap<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
addAll(Counter<E>) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap: Adds all of the mappings in m to this CollectionValuedMap.
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.DeltaIndex
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.HashIndex: Adds every member of Collection to the Index.
addAll(Collection<? extends E>) - Method in interface edu.stanford.nlp.util.Index
addAll(Iterator<? extends T>, Collection<T>) - Static method in class edu.stanford.nlp.util.Iterables: Adds all of the Objects returned by the given Iterator into the given Collection.
addAll(Map<K, V1>, Map<K, V2>, Function<V2, V1>) - Static method in class edu.stanford.nlp.util.Maps: Adds all of the keys in from to to, applying function to the values to transform them from V2 to V1.
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet: Add all the items.
addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap: Adds all of the entries in the other map, performing function on them to transform the values
addAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
addAllAppositions(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
addAllArg(Iterable<? extends CoreNLPProtos.Entity>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addAllArgName(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
addAllBelongToLists(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addAllChild(Iterable<? extends CoreNLPProtos.ParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addAllComponent(Iterable<? extends ConcatVectorProto.ConcatVector.Component>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
addAllConversions(Iterable<? extends CoreNLPProtos.DependencyConverterResponse.DependencyConversion>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
addAllCorefChain(Iterable<? extends CoreNLPProtos.CorefChain>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addAllCorefMentionIndex(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
addAllCorefMentionToEntityMentionMappings(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
addAllData(Iterable<? extends Double>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder: repeated double data = 2;
addAllDependents(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
addAllDimensionSize(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated int32 dimensionSize = 1;
addAllEdge(Iterable<? extends CoreNLPProtos.DependencyGraph.Edge>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addAllEdge(Iterable<? extends CoreNLPProtos.SemgrexResponse.NamedEdge>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
addAllEntailedClause(Iterable<? extends CoreNLPProtos.SentenceFragment>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addAllEntailedSentence(Iterable<? extends CoreNLPProtos.SentenceFragment>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addAllEntity(Iterable<? extends CoreNLPProtos.Entity>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addAllEntityMentionToCorefMentionMappings(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
addAllFactor(Iterable<? extends GraphicalModelProto.Factor>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
addAllFactorTable(Iterable<? extends ConcatVectorProto.ConcatVector>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
addAllGraph(Iterable<? extends CoreNLPProtos.DependencyGraph>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
addAllGroup(Iterable<? extends CoreNLPProtos.TokensRegexResponse.MatchLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
addAllInterningAndSuffixing(Collection<String>, Collection<String>, String) - Method in class edu.stanford.nlp.sequences.FeatureFactory: Makes more complete feature names out of partial feature names, by adding a suffix to the String feature name, adding results to an accumulator
addAllKBestParseTrees(Iterable<? extends CoreNLPProtos.ParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addAllKbpTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addAllKey(Iterable<String>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
addAllKey(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
addAllKey(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
addAllKeys(TwoDimensionalMap<? extends K1, ? extends K2, ?>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet: Adds all the keys in the given TwoDimensionalMap.
addAllListMembers(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
addAllMacros(TregexPatternCompiler, String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
addAllMacros(TregexPatternCompiler, BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
addAllMatch(Iterable<? extends CoreNLPProtos.SemgrexResponse.Match>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
addAllMatch(Iterable<? extends CoreNLPProtos.TokensRegexResponse.PatternMatch>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
addAllMatch(Iterable<? extends CoreNLPProtos.TokensRegexResponse.Match>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
addAllMention(Iterable<? extends CoreNLPProtos.CorefChain.CorefMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addAllMentions(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addAllNeighbor(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: repeated int32 neighbor = 2;
addAllNerLabelProbs(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
addAllNode(Iterable<? extends CoreNLPProtos.DependencyGraph.Node>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addAllNode(Iterable<? extends CoreNLPProtos.SemgrexResponse.NamedNode>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
addAllNodes(Iterable<? extends CoreNLPProtos.FlattenedParseTree.Node>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
addAllObjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addAllOpenieTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addAllOperation(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: repeated string operation = 2;
addAllOperations(Iterable<? extends CoreNLPProtos.TsurgeonRequest.Operation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
addAllOriginalSpan(Iterable<? extends CoreNLPProtos.IndexedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addAllPattern(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: repeated string pattern = 2;
addAllPredicateNominatives(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 predicateNominatives = 55;
addAllPredicted(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
addAllPreprocessedTerms(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string preprocessedTerms = 53;
addAllQuery(Iterable<? extends CoreNLPProtos.SemgrexRequest.Dependencies>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
addAllQuote(Iterable<? extends CoreNLPProtos.Quote>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addAllQuotes(Iterable<? extends CoreNLPProtos.Quote>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addAllRelation(Iterable<? extends CoreNLPProtos.Relation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addAllRelationTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addAllRelativePronouns(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 relativePronouns = 56;
addAllReln(Iterable<? extends CoreNLPProtos.SemgrexResponse.NamedRelation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
addAllResult(Iterable<? extends CoreNLPProtos.SemgrexResponse.GraphResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
addAllResult(Iterable<? extends CoreNLPProtos.SemgrexResponse.SemgrexResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
addAllResult(Iterable<? extends CoreNLPProtos.SsurgeonResponse.SsurgeonResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
addAllRoot(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated uint32 root = 3 [packed = true];
addAllRootNode(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: The values in this field will index directly into the node list This is useful so that additional information such as emptyIndex can be considered without having to pass it around a second time
addAllSections(Iterable<? extends CoreNLPProtos.Section>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addAllSemgrex(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated string semgrex = 1;
addAllSentence(Iterable<? extends CoreNLPProtos.Sentence>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addAllSentenceIndexes(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated uint32 sentenceIndexes = 4;
addAllSentencelessToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addAllSentenceWords(Iterable<? extends CoreNLPProtos.IndexedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addAllSsurgeon(Iterable<? extends CoreNLPProtos.SsurgeonRequest.Ssurgeon>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
addAllSubjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addAllTokenIndex(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: repeated uint32 tokenIndex = 1;
addAllTreebank(Iterable<? extends CoreNLPProtos.EvaluateParserRequest.ParseResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
addAllTreeF1(Iterable<? extends Double>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder: keep track of the individual tree F1 scores
addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addAllTsurgeon(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder: repeated string tsurgeon = 2;
addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string value = 2;
addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated string value = 2;
addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string value = 2;
addAllVariableMetaData(Iterable<? extends GraphicalModelProto.MetaData>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
addAllWithSourcesAndIds(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
addAllWords(Iterable<? extends CoreNLPProtos.MorphologyRequest.TaggedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
addAllWords(Iterable<? extends CoreNLPProtos.MorphologyResponse.WordTagLemma>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
addAllXmlContext(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
addAndGet(double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble: Atomically adds the given value to the current value.
addAnnotator(Annotator) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
addApposition(Mention) - Method in class edu.stanford.nlp.coref.data.Mention: Find apposition
addApposition(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find apposition
addAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
addArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
addArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
addArc(int, int, String) - Method in class edu.stanford.nlp.parser.nndep.Configuration
addArg(AceEntityMention, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
addArg(ExtractionObject, String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
addArg(ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
addArg(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgName(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
addArgNameBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
addArgs(List<ExtractionObject>, List<String>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
addAttribute(SceneGraphImageAttribute) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
addAttribute(IndexedWord) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
addAttribute(SceneGraphAttribute) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
addBelongsToList(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
addBelongsToList(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
addBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
addBiasToEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
addBinaryClassifier(L, Classifier<String, F>) - Method in class edu.stanford.nlp.classify.OneVsAllClassifier
addBinaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addBinaryFeatures(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addBoundary() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addCapitalFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
addCaseMarkerForConjunctions(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure: Post-process graph and copy over case markers in case the PP-complement is conjoined.
addCaseMarkerInformation(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addChild(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree: Adds the tree t at the index position among the daughters.
addChild(Tree) - Method in class edu.stanford.nlp.trees.Tree: Adds the tree t at the last index position among the daughters.
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Adds a child in the ith location.
addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
addChildBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildTree(Redwood.RecordHandlerTree) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
addComment(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Store a comment line with this semantic graph.
addComponent(ConcatVectorProto.ConcatVector.Component) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
addComponent(int, ConcatVectorProto.ConcatVector.Component) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
addComponent(ConcatVectorProto.ConcatVector.Component.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
addComponent(int, ConcatVectorProto.ConcatVector.Component.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
addComponentBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
addComponentBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
addConjInformation(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure: Adds the type of conjunction to all conjunct relations.
addConstraint(ParserConstraint) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addContains(String, String, String, Boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
addConversions(CoreNLPProtos.DependencyConverterResponse.DependencyConversion) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
addConversions(int, CoreNLPProtos.DependencyConverterResponse.DependencyConversion) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
addConversions(CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
addConversions(int, CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
addConversionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
addConversionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
addCopyNodes - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
addCorefChain(CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
addCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
addCounts(PrecisionRecallStats) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Adds the counts from the given stats to the counts of this stats.
addData(double) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder: repeated double data = 2;
addDenseConstraint(int, double[]) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer: This adds a constraint on the weight vector, that a certain component must be set to a dense array
AddDep - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon: Adds a new dependent node, based off of a prototype IndexedWord, with the given relation.
AddDep(String, GrammaticalRelation, Map<String, String>, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
AddDep(String, GrammaticalRelation, Map<String, String>, String, double) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
addDependencyPathFeatures(Counter<String>, RelationMention, EntityMention, EntityMention, List<String>, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
addDependents(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
addDependentsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
addDeterminer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
addDimensionSize(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated int32 dimensionSize = 1;
addDistsimFeatures(List<String>, CoreLabel, String) - Method in class edu.stanford.nlp.parser.shiftreduce.DistsimFeatureFactory
addedFactor - Variable in class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState
addEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
addEdge(LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addEdge(CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(CoreNLPProtos.SemgrexResponse.NamedEdge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
addEdge(int, CoreNLPProtos.SemgrexResponse.NamedEdge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
addEdge(CoreNLPProtos.SemgrexResponse.NamedEdge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
addEdge(int, CoreNLPProtos.SemgrexResponse.NamedEdge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
addEdge(SceneGraphNode, SceneGraphNode, String) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
AddEdge - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon: This adds a given GrammaticalRelation between two named nodes in the graph.
AddEdge(String, String, GrammaticalRelation) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
AddEdge(String, String, GrammaticalRelation, double) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
addEdgeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdgeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
addEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
addEdgeFeatures(List<String>, State, String, String, Tree, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory: Could potentially add the tags and words for the left and right ends of the tree.
addEdgeFeatures2(List<String>, State, String, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory: This option also does not seem to help
addEdit(SsurgeonEdit) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
addEnhancedSentences(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively applies different enhancements to the dependency graph.
addEnhancements(SemanticGraph, Embedding) - Static method in class edu.stanford.nlp.trees.ud.UniversalGappingEnhancer
addEnhancements(SemanticGraph, EnhancementOptions) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure: Manipulates the given SemanticGraph to add enhancements.
addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
addEntailedClause(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClause(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClause(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClause(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClauseBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClauseBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedSentence(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentence(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentence(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentence(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntity(AceEntity) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addEntity(String, EntityMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Entity
addEntity(String, EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Event
addEntity(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addEntityMention(CoreMap, EntityMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addEntityMention(EntityMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
addEntityMentions(CoreMap, Collection<EntityMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addEntityMentions(Collection<EntityMention>) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
addEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
addEvent(AceEvent) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
addEventMention(CoreMap, EventMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addEventMention(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
addEventMentions(CoreMap, Collection<EventMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addExample(List<Integer>, List<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Dataset
addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Document, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Sentence, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Token, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
addExtraNSubj(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
addExtraTrigramFeatures(List<String>, CoreLabel, CoreLabel, CoreLabel, CoreLabel, CoreLabel) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory: Also did not seem to help
addFactor(int[], int[], Function<int[], ConcatVector>) - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel: This is the preferred way to add factors to a graphical model.
addFactor(ConcatVectorTable, int[]) - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel: Creates an instantiated factor in this graph, with neighborIndices representing the neighbor variables by integer index.
addFactor(GraphicalModelProto.Factor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
addFactor(int, GraphicalModelProto.Factor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
addFactor(GraphicalModelProto.Factor.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
addFactor(int, GraphicalModelProto.Factor.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
addFactorBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
addFactorBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
addFactorTable(ConcatVectorProto.ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
addFactorTable(int, ConcatVectorProto.ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
addFactorTable(ConcatVectorProto.ConcatVector.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
addFactorTable(int, ConcatVectorProto.ConcatVector.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
addFactorTableBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
addFactorTableBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
addFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams: Enable an annotation feature.
addFeature(String, double) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
addFeatureIndices(int[]) - Method in class edu.stanford.nlp.classify.Dataset
addFeatures(Collection<F>) - Method in class edu.stanford.nlp.classify.Dataset
addFeatures(Collection<F>, boolean) - Method in class edu.stanford.nlp.classify.Dataset
addFeatures(Counter<String>, RelationMention, List<String>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
addFeatures(Counter<String>, RelationMention, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory: Creates all features for the datum corresponding to this relation mention Note: this assumes binary relations where both arguments are EntityMention
addFeatures(Collection<String>) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
addFeatures(ArrayList<Pair<String, String>>, int) - Method in class edu.stanford.nlp.process.stattok.StatTokSentTrainer: This method adds features for building the training input for the classifier.
addFeatures(SemanticGraph, Tree, boolean, boolean) - Method in class edu.stanford.nlp.trees.ud.UniversalDependenciesFeatureAnnotator
addFileFolder(EnumMap<TregexGUI.FilterType, String>, File[]) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel: Forks off a new thread to load your files based on the filters you set in the interface
addFiles(List<String>) - Method in class edu.stanford.nlp.trees.treebank.DistributionPackage: Adds a listing of files to the distribution archive
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
addFN(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Adds the given number to the count of false negatives.
addForce(Partial, Period, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
addForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
addFP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Adds the given number to the count of false positives.
addGoldMentions(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, List<List<Mention>>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
addGraph(CoreNLPProtos.DependencyGraph) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
addGraph(int, CoreNLPProtos.DependencyGraph) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
addGraph(CoreNLPProtos.DependencyGraph.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
addGraph(int, CoreNLPProtos.DependencyGraph.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
addGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
addGraphBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
addGroup(CoreNLPProtos.TokensRegexResponse.MatchLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
addGroup(int, CoreNLPProtos.TokensRegexResponse.MatchLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
addGroup(CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
addGroup(int, CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
addGroupBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
addGroupBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
addGuess(String, String, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
addGuess(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
addGuess(L, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
addGuess(L, L, boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
addGuesses(List<L>, List<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
addHighlight(JTextField, MouseEvent, MouseEvent) - Static method in class edu.stanford.nlp.trees.tregex.gui.HighlightUtils: Highlight the given label from the first mouse event to the second Returns true if the highlight was successful, false otherwise.
addHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.coref.data.Document
addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.Document
addIndvWordsFromPhrasesExceptLastAsNeg - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: For example, if positive seed dict contains "cancer" and "breast cancer" then "breast" is included as negative
addingSingletonEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Increases the values in the first array a by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Increases the values in this array by b.
addInPlace(double[][], double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath: Add the two 2d arrays and write the answer in place of m1.
addInPlace(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+scale*arg[k] for all keys k in target.
addInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+arg[k] for all keys k in arg.
addInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of double[] target to be target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale * arg[u,v].
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v].
addInPlace(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+ value*(num-of-times-it-occurs-in-collection) if the key is present in the arg collection.
addInPlace(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
addInPlace(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters: Sets each value of target to be target[k]+ num-of-times-it-occurs-in-collection if the key is present in the arg collection.
addInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Increments all keys in a Counter by a specific value.
addInstances(Collection<RVFDatum<K, V>>) - Method in class edu.stanford.nlp.classify.KNNClassifier
addIntervalRelationFlags(int, boolean) - Static method in class edu.stanford.nlp.util.Interval
addKBestParseTrees(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKbpTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKey(String) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
addKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
addKey(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Just add the key (empty collection, but key is in the keySet).
addKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap: yes, this is a weird method, but i need it.
addKeyBytes(ByteString) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
addKeyBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
addLabel(L) - Method in class edu.stanford.nlp.classify.Dataset
addLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum: Adds the given Label to the List of labels for this Datum if it is not null.
addLabel(L) - Method in class edu.stanford.nlp.ling.BasicDocument: Adds the given label to the List of labels for this Document if it is not null.
addLabelIndex(int) - Method in class edu.stanford.nlp.classify.Dataset
addListener(FileTreeNode.FileTreeNodeListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
addListener(MatchesPanel.MatchesPanelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel: Become a listener to changes in the trees the matches panel is showing
addListener(ListSelectionListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel: Become a listener to changes in which tree is selected
addListMember(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
addListMember(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
addListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler: Define a macro for rewriting a pattern in any tregex expression compiled by this compiler.
addMap(Map<String, Set<String>>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Add all of the mappings from the specified map to the current map.
addMatch(CoreNLPProtos.SemgrexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
addMatch(int, CoreNLPProtos.SemgrexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
addMatch(CoreNLPProtos.SemgrexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
addMatch(int, CoreNLPProtos.SemgrexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
addMatch(CoreNLPProtos.TokensRegexResponse.PatternMatch) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
addMatch(int, CoreNLPProtos.TokensRegexResponse.PatternMatch) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
addMatch(CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
addMatch(int, CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
addMatch(CoreNLPProtos.TokensRegexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
addMatch(int, CoreNLPProtos.TokensRegexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
addMatch(CoreNLPProtos.TokensRegexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
addMatch(int, CoreNLPProtos.TokensRegexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
addMention(Mention) - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
addMention(Mention) - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
addMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
addMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
addMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
addMention(CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMissingAnnotations(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
addMissingFinalPunctuation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If a token list does not have sentence final punctuation near the end, then automatically add the default one.
addMod(String) - Method in class edu.stanford.nlp.time.SUTime.Temporal
addMod() - Method in class edu.stanford.nlp.time.TimeExpression
addModApprox(String, boolean) - Method in class edu.stanford.nlp.time.SUTime.Temporal
AddMorphoAnnotations - Class in edu.stanford.nlp.international.morph: Reads in the tree files without any kind of pre-processing.
AddMorphoAnnotations() - Constructor for class edu.stanford.nlp.international.morph.AddMorphoAnnotations
addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Add c times the array b to array a.
addMultInto(double[], double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
addNamedEntityStrings(CoreMap, Set<String>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
addNamedNode(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit
addNamedNode(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern: Adds the node to the set of named nodes registered, using the given name.
addNeighbor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: repeated int32 neighbor = 2;
addNerLabelProbs(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
addNerLabelProbsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
addNode(CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(CoreNLPProtos.SemgrexResponse.NamedNode) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
addNode(int, CoreNLPProtos.SemgrexResponse.NamedNode) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
addNode(CoreNLPProtos.SemgrexResponse.NamedNode.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
addNode(int, CoreNLPProtos.SemgrexResponse.NamedNode.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
addNode(IndexedWord) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
addNode(SceneGraphNode) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
AddNode - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
AddNode(String, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
addNodeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
addNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
addNodes(CoreNLPProtos.FlattenedParseTree.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
addNodes(int, CoreNLPProtos.FlattenedParseTree.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
addNodes(CoreNLPProtos.FlattenedParseTree.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
addNodes(int, CoreNLPProtos.FlattenedParseTree.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
addNodesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
addNodesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
addNonNested(T) - Method in class edu.stanford.nlp.util.IntervalTree
addNonOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
addNormalizedQuantitiesToEntities(List<E>, CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer: Identifies contiguous MONEY, TIME, DATE, or PERCENT entities and tags each of their constituents with a "normalizedQuantity" label which contains the appropriate normalized string corresponding to the full quantity.
addNormalizedQuantitiesToEntities(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer: Identifies contiguous MONEY, TIME, DATE, or PERCENT entities and tags each of their constituents with a "normalizedQuantity" label which contains the appropriate normalized string corresponding to the full quantity.
addNormalizedQuantitiesToEntities(List<E>, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
addNormalizedQuantitiesToEntities(List<E>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer: Identifies contiguous MONEY, TIME, DATE, or PERCENT entities and tags each of their constituents with a "normalizedQuantity" label which contains the appropriate normalized string corresponding to the full quantity.
addObjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addOneBinaryRule(BinaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
addOnePathToGraph(List, double, int, TransducerGraph) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
addOneUnaryRule(UnaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
addOpenieTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOperation(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: repeated string operation = 2;
addOperationBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: repeated string operation = 2;
addOperations(CoreNLPProtos.TsurgeonRequest.Operation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
addOperations(int, CoreNLPProtos.TsurgeonRequest.Operation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
addOperations(CoreNLPProtos.TsurgeonRequest.Operation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
addOperations(int, CoreNLPProtos.TsurgeonRequest.Operation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
addOperationsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
addOperationsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
addOriginalSpan(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addORRestriction(Class, String) - Method in class edu.stanford.nlp.patterns.surface.Token
addParent(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
addPattern(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: repeated string pattern = 2;
addPatternBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: repeated string pattern = 2;
addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
addPatWithoutPOS - Static variable in class edu.stanford.nlp.patterns.surface.SurfacePatternFactory: Add patterns without POS restriction as well: One of this and usePOS4Pattern has to be true.
addPhrasalBranch(String, int) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
addPhrase(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPhrase(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPhrase(String, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPhrase(List<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPhrase(List<String>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPhrase(List<String>, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPhrases(Collection<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPhrases(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
addPositionFeatures(List<String>, State) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.coref.data.Mention: Find predicate nominatives
addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find predicate nominatives
addPredicateNominatives(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 predicateNominatives = 55;
addPredicted(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
addPredicted(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
addPredicted(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
addPredicted(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
addPredictedBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
addPredictedBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
addPreprocessedTerms(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string preprocessedTerms = 53;
addPreprocessedTermsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string preprocessedTerms = 53;
addPrev(int, History) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], double[][][][], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Adds the List of Lists of CRFDatums to the data and labels arrays, treating each datum as if it were its own document.
addQuery(CoreNLPProtos.SemgrexRequest.Dependencies) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
addQuery(int, CoreNLPProtos.SemgrexRequest.Dependencies) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
addQuery(CoreNLPProtos.SemgrexRequest.Dependencies.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
addQuery(int, CoreNLPProtos.SemgrexRequest.Dependencies.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
addQueryBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
addQueryBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
addQuote(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuotes(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addRandomBinaryMatrix(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
addRandomColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
addRandomUnaryMatrix(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
addRef(SemanticGraph, Pattern) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
addReferent - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
addRelation(AceRelation) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addRelation(String, RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Relation
addRelation(CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
addRelationMention(CoreMap, RelationMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addRelationMention(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
addRelationMentions(CoreMap, Collection<RelationMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addRelationship(SceneGraphImageRelationship) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
addRelationTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelativePronoun(Mention) - Method in class edu.stanford.nlp.coref.data.Mention: Find relative pronouns
addRelativePronoun(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find relative pronouns
addRelativePronouns(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 relativePronouns = 56;
addReln(CoreNLPProtos.SemgrexResponse.NamedRelation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
addReln(int, CoreNLPProtos.SemgrexResponse.NamedRelation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
addReln(CoreNLPProtos.SemgrexResponse.NamedRelation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
addReln(int, CoreNLPProtos.SemgrexResponse.NamedRelation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
addRelnBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
addRelnBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
addResult(CoreNLPProtos.SemgrexResponse.GraphResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
addResult(int, CoreNLPProtos.SemgrexResponse.GraphResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
addResult(CoreNLPProtos.SemgrexResponse.GraphResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
addResult(int, CoreNLPProtos.SemgrexResponse.GraphResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
addResult(CoreNLPProtos.SemgrexResponse.SemgrexResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
addResult(int, CoreNLPProtos.SemgrexResponse.SemgrexResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
addResult(CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
addResult(int, CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
addResult(CoreNLPProtos.SsurgeonResponse.SsurgeonResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
addResult(int, CoreNLPProtos.SsurgeonResponse.SsurgeonResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
addResult(CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
addResult(int, CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
addResults(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer: Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
addRoot(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated uint32 root = 3 [packed = true];
addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addRoot - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
addRootNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: The values in this field will index directly into the node list This is useful so that additional information such as emptyIndex can be considered without having to pass it around a second time
addRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Add this dependency with the given count to the grammar.
addRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
addRules(SequenceMatchRules.ExtractRule<I, O>...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
addScaled(Weight, float) - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
addSections(CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(int, CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(int, CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSectionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSectionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSeedWords(String, Collection<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
addSemgrex(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated string semgrex = 1;
addSemgrexBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated string semgrex = 1;
addSentence(List<String[]>) - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
addSentence(List<String[]>) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
addSentence(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addSentence(ExtractionSentence) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
addSentence(CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceData(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence: Add sentence data for this sentence
addSentenceIndexes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated uint32 sentenceIndexes = 4;
addSentencelessToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentences(CoreMap, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addSentences(List<ExtractionSentence>) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
addSentenceWords(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSeparatorFeature(List<String>, String, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addSeparatorFeatures(List<String>, String, CoreLabel, String, CoreLabel, String, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addSeparatorFeatures(List<String>, CoreLabel, CoreLabel, State.HeadPosition, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addSparseConstraint(int, int, double) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer: This adds a constraint on the weight vector, that a certain component must be set to a sparse index=value
addSplit(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
addSplits(FastExactAutomatonMinimizer.Block) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
addSRLArcs - Static variable in class edu.stanford.nlp.semgraph.SemanticGraph
addSsurgeon(CoreNLPProtos.SsurgeonRequest.Ssurgeon) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
addSsurgeon(int, CoreNLPProtos.SsurgeonRequest.Ssurgeon) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
addSsurgeon(CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
addSsurgeon(int, CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
addSsurgeonBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
addSsurgeonBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
addStatsForTree(int, int, int) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
addSubjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
addTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
addTag(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger: Will return the index of a tag, adding it if it doesn't already exist
AddTaggerToParser - Class in edu.stanford.nlp.parser.lexparser: A simple tool to add a tagger to the parser for reranking purposes.
AddTaggerToParser() - Constructor for class edu.stanford.nlp.parser.lexparser.AddTaggerToParser
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Adds the tagging with count to the data structures in this Lexicon.
addTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndex(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
addToIndex(E) - Method in class edu.stanford.nlp.util.DeltaIndex
addToIndex(E) - Method in class edu.stanford.nlp.util.HashIndex
addToIndex(E) - Method in interface edu.stanford.nlp.util.Index: Takes an Object and returns the integer index of the Object.
addToIndexTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndexTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndexTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndexUnsafe(E) - Method in class edu.stanford.nlp.util.HashIndex: Add the given item to the index, but without taking any locks.
addToken(AceToken) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: repeated uint32 tokenIndex = 1;
addToKeySet(E) - Method in class edu.stanford.nlp.stats.Distribution: Insures that object is in keyset (with possibly zero value)
addTP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Adds the given number to the count of true positives.
addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
addTransition(DFSATransition<T, S>) - Method in class edu.stanford.nlp.fsm.DFSAState
addTreebank(CoreNLPProtos.EvaluateParserRequest.ParseResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
addTreebank(int, CoreNLPProtos.EvaluateParserRequest.ParseResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
addTreebank(CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
addTreebank(int, CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
addTreebankBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
addTreebankBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
addTreeF1(double) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder: keep track of the individual tree F1 scores
addTreeModelListener(TreeModelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
addTreeNormalizer(TreeNormalizer) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer: Adds the given tree normalizer to this combination; the tree normalizers are applied in the order they were added, with the first to be added being the first to be applied.
addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
addTrigramFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addTsurgeon(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder: repeated string tsurgeon = 2;
addTsurgeonBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder: repeated string tsurgeon = 2;
addUnaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addUnaryQueueFeatures(List<String>, CoreLabel, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addUnaryStackFeatures(List<String>, CoreLabel, String, String, String, String, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
addValue(String) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string value = 2;
addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated string value = 2;
addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string value = 2;
addValueBytes(ByteString) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string value = 2;
addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated string value = 2;
addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string value = 2;
addVariableMetaData(GraphicalModelProto.MetaData) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
addVariableMetaData(int, GraphicalModelProto.MetaData) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
addVariableMetaData(GraphicalModelProto.MetaData.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
addVariableMetaData(int, GraphicalModelProto.MetaData.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
addVariableMetaDataBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
addVariableMetaDataBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
addVectorInPlace(ConcatVector, double) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector: This will add the vector "other" to this vector, scaling other by multiple.
addVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: For adding a zero degree vertex
addVertex(V) - Method in interface edu.stanford.nlp.graph.Graph: For adding a zero degree vertex
addVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
addWords(CoreNLPProtos.MorphologyRequest.TaggedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
addWords(int, CoreNLPProtos.MorphologyRequest.TaggedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
addWords(CoreNLPProtos.MorphologyRequest.TaggedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
addWords(int, CoreNLPProtos.MorphologyRequest.TaggedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
addWords(CoreNLPProtos.MorphologyResponse.WordTagLemma) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
addWords(int, CoreNLPProtos.MorphologyResponse.WordTagLemma) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
addWords(CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
addWords(int, CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
addWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
addWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
addWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
addWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
addWordShapes(String, Set<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
addXmlContext(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
addXmlContextBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
addXSubj - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
ADJ_MOD_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
ADJ_PRED_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
ADJECTIVAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adjectival complement" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adjectival modifier" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "adjetive modifier" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "adjective modifier" (amod) grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "adjectival modifier" grammatical relation.
AdjoinToFootNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon: Adjoin in a tree (like in TAG), but retain the target of adjunction as the foot of the auxiliary tree.
AdjoinToFootNode(AuxiliaryTree, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
adjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
adjustBias(List<List<IN>>, DoubleUnaryOperator, double, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier: Adjust the bias parameter to optimize some objective function.
adjustFinalToken(List<CoreLabel>) - Static method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
adjustPhrasePositions(int, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken: Recomputes start/end phrase positions by removing SGML tag strings This is required because ACE annotations skip over SGML tags when computing positions in stream, hence annotations do not match with our preprocessing positions, which count everything
ADMath - Class in edu.stanford.nlp.math: The class ADMath was created to extend the current calculations of gradient to automatically include a calculation of the hessian vector product with another vector v.
ADV_CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adverbial clause modifier" grammatical relation.
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "adverbial clause modifier" grammatical relation.
advanceLeft(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
advanceRight(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "adverbial modifier" (advmod) grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "adverbial modifier" grammatical relation.
adverbSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
advSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
AffixDictionary - Class in edu.stanford.nlp.wordseg: Affixation information.
AffixDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.AffixDictionary
after(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention: Verifies if this mention appears after the parameter in textual order
after() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the whitespace String after the word.
after() - Method in interface edu.stanford.nlp.ling.HasContext: Return the whitespace String after the word.
after() - Method in class edu.stanford.nlp.ling.IndexedWord
after() - Method in class edu.stanford.nlp.simple.Sentence: The whitespace after each token in the sentence.
after(int) - Method in class edu.stanford.nlp.simple.Sentence: The whitespace after this token in the sentence.
after() - Method in class edu.stanford.nlp.simple.Token
AFTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
afterIsEmpty - Variable in class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor: Check that after() is not null and the empty string
afterIsEmpty - Static variable in class edu.stanford.nlp.pipeline.NERCombinerAnnotator: Check that after() is not null and the empty string
AFTERNOON - Static variable in class edu.stanford.nlp.time.SUTime
agenda - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "agent" grammatical relation.
AGENT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
AGENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "agent" grammatical relation.
AGENT_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatTextAggregator
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
AGGREGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
aggregateToTokens - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Whether we should merge and output CoreLabels or not.
algorithm(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
algorithms() - Method in class edu.stanford.nlp.simple.Sentence: Return a class that can perform common algorithms on this sentence.
aliases - Variable in class edu.stanford.nlp.quoteattribution.Person
AliasMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
AliasMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.AliasMatch
AliasMatch - Class in edu.stanford.nlp.dcoref.sievepasses
AliasMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.AliasMatch
align(List<CoreMap>, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter: If the same set of sentences is contained in two lists, order the lists so that their sentences are in the same order (and return true).
alignDDAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
alignLeft(JComponent) - Static method in class edu.stanford.nlp.trees.tregex.gui.PreferencesPanel
Alignment - Class in edu.stanford.nlp.ie.pascal: Container class for aligning acronyms.
Alignment(char[], char[], int[]) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
Alignment(BufferedReader) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
Alignment - Class in edu.stanford.nlp.semgraph.semgrex: Represents an alignment between a text and a hypothesis as a map from hypothesis words to text words, along with a real-valued score and (optionally) a justification string.
Alignment(Map<IndexedWord, IndexedWord>, double, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Alignment
alignmentDecodeThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
alignmentPruneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
alignSentence(CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier: Copies one sentence replicating only information necessary for SUTime
allBrackets(Tree) - Method in class edu.stanford.nlp.trees.TreeToBracketProcessor
allCandidatePhrases - Variable in class edu.stanford.nlp.patterns.ScorePatterns
allEdgesInSet(Iterable<IndexedWord>, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given a set of vertices from the same graph, returns the set of all edges between these vertices.
allGoldMentions - Variable in class edu.stanford.nlp.dcoref.Document
allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
allLabels(int, Index<String>) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
ALLOW_EMBEDDED_SAME - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
ALLOW_REPARSING - Static variable in class edu.stanford.nlp.dcoref.Constants: Whether or not the RuleBasedCorefMentionFinder can reparse a phrase to find its head
ALLOW_REPARSING_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
allowedNERsforLabels - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
allowedTagsInitials - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
allowReparsing - Variable in class edu.stanford.nlp.coref.md.CorefMentionFinder
allPatternsDir - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Cached file of all patterns for all tokens
allPositions - Variable in class edu.stanford.nlp.coref.data.Document
allPositions - Variable in class edu.stanford.nlp.dcoref.Document
allPredictedMentions - Variable in class edu.stanford.nlp.dcoref.Document: For all mentions in a document, map mentionID to mention.
allPronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
allPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
AllRelationMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.AllRelationMentionsAnnotation
allSpans(Function<Sentence, List<E>>, int) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms: Return all the spans of a sentence.
allSpans(Function<Sentence, List<E>>) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
allSpans() - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
allTokens() - Method in class edu.stanford.nlp.ie.util.RelationTriple: Returns all the tokens in the extraction, in the order subject then relation then object.
allTypedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
allTypedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Returns all the typed dependencies of this grammatical structure.
allValues() - Method in class edu.stanford.nlp.util.CollectionValuedMap
alpha - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
alpha - Variable in class edu.stanford.nlp.stats.Gamma
alphaFile - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
alsoHide(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Show all the channels currently being printed, with the exception of this new one
alsoShow(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler: Show all the channels currently being printed, in addition to a new one
altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
alternateTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
ALTERNATION_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation: ALTERNATION = 4;
ALTERNATIVEDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
AlternativeDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
altVal() - Method in class edu.stanford.nlp.time.Timex
ALTVALUE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
am - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
AmbiguityClass - Class in edu.stanford.nlp.tagger.maxent: An ambiguity class for a word is the word by itself or its set of observed tags.
AmbiguityClass(String, boolean, Dictionary, TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
AmbiguityClasses - Class in edu.stanford.nlp.tagger.maxent: A collection of Ambiguity Class.
AmbiguityClasses(TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
Americanize - Class in edu.stanford.nlp.process: Takes a HasWord or String and returns an Americanized version of it.
Americanize() - Constructor for class edu.stanford.nlp.process.Americanize
Americanize(int) - Constructor for class edu.stanford.nlp.process.Americanize: Make an object for Americanizing spelling.
americanize(String) - Static method in class edu.stanford.nlp.process.Americanize: Convert the spelling of a word from British to American English.
americanize(String, boolean) - Static method in class edu.stanford.nlp.process.Americanize: Convert the spelling of a word from British to American English.
AmericanizeFunction - Class in edu.stanford.nlp.process
AmericanizeFunction() - Constructor for class edu.stanford.nlp.process.AmericanizeFunction
AMPERSAND - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
ANALYZED - Static variable in class edu.stanford.nlp.patterns.LuceneFieldType
ANALYZED_NO_POSITION - Static variable in class edu.stanford.nlp.patterns.LuceneFieldType
ANALYZED_NOT_STORED - Static variable in class edu.stanford.nlp.patterns.LuceneFieldType
ANAPHORICITY_MODEL - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
anaphoricityClassifier(boolean) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
anaphoricityMFE() - Static method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor
anaphoricityModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
anaphoricityScores - Variable in class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree: Return the ancestor tree node height nodes up from the current node.
ANCORA_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
ancoraFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer: Returns a tokenizer with Ancora tokenization.
AnCoraPOSStats - Class in edu.stanford.nlp.international.spanish.pipeline: A utility to build unigram part-of-speech tagging data from XML corpus files from the AnCora corpus.
AnCoraPOSStats(List<File>, String) - Constructor for class edu.stanford.nlp.international.spanish.pipeline.AnCoraPOSStats
AnCoraProcessor - Class in edu.stanford.nlp.international.spanish.pipeline: A tool which accepts raw AnCora-3.0 Spanish XML files and produces normalized / pre-processed PTB-style treebanks for use with CoreNLP tools.
AnCoraProcessor(List<File>, Properties) - Constructor for class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
AnCoraPronounDisambiguator - Class in edu.stanford.nlp.international.spanish.process: A utility for preprocessing the AnCora Spanish corpus.
AnCoraPronounDisambiguator() - Constructor for class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
AnCoraPronounDisambiguator.PersonalPronounType - Enum in edu.stanford.nlp.international.spanish.process
and(Trilean) - Method in class edu.stanford.nlp.util.Trilean: Returns the logical and of this and the other value.
AND_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
AndExpression(List<Expression>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AndExpression
andFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters: Filter that accepts only when both filters accept (AND).
AndPatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
AndPatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
animacies - Variable in class edu.stanford.nlp.coref.data.CorefCluster
animacies - Variable in class edu.stanford.nlp.dcoref.CorefCluster
animaciesAgree(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
animaciesAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
animacy - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
animacy - Variable in class edu.stanford.nlp.coref.data.Mention
animacy - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
animacy - Variable in class edu.stanford.nlp.dcoref.Mention
ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
ANIMACY_WORD_LIST - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
animacySet - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
ANIMATE_NOUN - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
ANIMATE_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
ANIMATE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
animatePronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
animatePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
animatePronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
animatePronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
animateWords - Variable in class edu.stanford.nlp.coref.data.Dictionaries
animateWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
annotate(Annotation) - Method in class edu.stanford.nlp.coref.CorefSystem
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor: Annotate an ExtractionDataSet with entities.
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
annotate(Annotation) - Method in interface edu.stanford.nlp.ie.machinereading.Extractor: Annotates the given dataset with the current model This works in place, i.e., it adds ExtractionObject objects to the sentences in the dataset To make sure you are not messing with gold annotation create a copy of the ExtractionDataSet first!
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
annotate(Annotation, int) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
annotate(MatchedExpression, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
annotate(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
annotate(GraphicalModel, List<String>, ConcatVectorNamespace, Map<String, double[]>) - Static method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLFeaturizer
annotate(Annotation) - Method in class edu.stanford.nlp.naturalli.OpenIE: Given an Annotation, perform a task on this Annotation.
annotate(CoreMap, AnnotationPipeline) - Static method in class edu.stanford.nlp.naturalli.Util: TODO(gabor) JavaDoc
annotate(Annotation) - Method in class edu.stanford.nlp.paragraphs.ParagraphAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline: Run the pipeline on an input annotation.
annotate(Iterable<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline: Annotate a collection of input annotations IN PARALLEL, making use of all available cores.
annotate(Iterable<Annotation>, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline: Annotate a collection of input annotations IN PARALLEL, making use of all available cores.
annotate(Iterable<Annotation>, int) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline: Annotate a collection of input annotations IN PARALLEL, making use of threads given in numThreads.
annotate(Iterable<Annotation>, int, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline: Annotate a collection of input annotations IN PARALLEL, making use of threads given in numThreads
annotate(Annotation) - Method in interface edu.stanford.nlp.pipeline.Annotator: Given an Annotation, perform a task on this Annotation.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CharniakParserAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefMentionAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DocDateAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.HybridCorefAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.KBPAnnotator: Annotate this document for KBP relations.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MorphaAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MWTAnnotator: The annotation process runs in two steps.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NumberAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RegexNERAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
annotate(CoreDocument) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Annotate the CoreDocument wrapper.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Run the pipeline on an input annotation.
annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: Run the pipeline on an input annotation.
annotate(Iterable<Annotation>, int, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: This method fires off a request to the server.
annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: The canonical entry point of the client annotator.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StatTokSentAnnotator: Method that performs the actual tokenization of CoreAnnotation.TextAnnotation object
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokenizerAnnotator: Does the actual work of splitting TextAnnotation into CoreLabels, which are then attached to the TokensAnnotation.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator: Given an Annotation, perform a task on this Annotation.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator: If setCountLineNumbers is set to true, we count line numbers by telling the underlying splitter to return empty lists of tokens and then treating those empty lists as empty lines.
annotate(Annotation) - Method in class edu.stanford.nlp.quoteattribution.ChapterAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
annotate(CoreMap) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.time.HeidelTimeKBPAnnotator
annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeKBPAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.time.TimeAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.time.TimexTreeAnnotator
AnnotateAction(Map<String, String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
AnnotateAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
annotateChunk(CoreMap, List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Annotates a CoreMap representing a chunk with basic chunk information.
annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
annotateChunk(CoreMap, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
annotateChunks(List<? extends CoreMap>, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
annotateChunkText(CoreMap, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Annotates a CoreMap representing a chunk with text information TextAnnotation - String representing tokens in this chunks (token text separated by space)
annotateChunkText(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Annotates a CoreMap representing a chunk with text information TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
annotateChunkTokens(CoreMap, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Annotates tokens in chunk.
ANNOTATEDPARSETREE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
AnnotatedTextReader - Class in edu.stanford.nlp.patterns.surface: CanNOT handle overlapping labeled text (that is one token cannot belong to multiple labels)! Note that there has to be spaces around the tags <label> and </label> for the reader to work correctly!
AnnotatedTextReader() - Constructor for class edu.stanford.nlp.patterns.surface.AnnotatedTextReader
annotateEntityMention(CoreMap, String) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
annotateForDependencyParse(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
annotateGroup(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
annotateGroup(int, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
AnnotateHeadFunction(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
AnnotateHeadFunction(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
annotateImpl(Annotation) - Method in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
annotateImpl(Annotation) - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator: Actually annotate a document with the server.
annotateMulticlass(List<Datum<String, String>>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
annotateSentence(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
annotateSentence(CoreMap, Map<CoreLabel, List<CoreLabel>>) - Method in class edu.stanford.nlp.naturalli.OpenIE: Annotate a single sentence.
annotateSingleSentence(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeAnnotator: Helper method for people not working from a complete Annotation.
annotateTokenCoref - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTokenCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTokenNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTokenNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTokenPos - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTokenPos - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTokenSpeaker - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTokenSpeaker - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTreeCoref - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTreeCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTreeNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTreeNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
annotation - Variable in class edu.stanford.nlp.coref.data.Document: Document annotation
annotation - Variable in class edu.stanford.nlp.coref.data.InputDoc
annotation - Variable in class edu.stanford.nlp.dcoref.Document: Document annotation
annotation - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
Annotation - Class in edu.stanford.nlp.pipeline: An annotation representing a span of text in a document.
Annotation(Annotation) - Constructor for class edu.stanford.nlp.pipeline.Annotation: Copy constructor.
Annotation(String) - Constructor for class edu.stanford.nlp.pipeline.Annotation: The text becomes the CoreAnnotations.TextAnnotation of the newly created Annotation.
Annotation(List<CoreMap>) - Constructor for class edu.stanford.nlp.pipeline.Annotation: Make a new Annotation from a List of tokenized sentences.
Annotation() - Constructor for class edu.stanford.nlp.pipeline.Annotation: Deprecated.
annotation() - Method in class edu.stanford.nlp.pipeline.CoreDocument: provide access to the underlying annotation if needed
annotation() - Method in enum edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.DependenciesType
Annotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.Annotation
ANNOTATION_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
AnnotationCreator - Interface in edu.stanford.nlp.pipeline: Creates a annotation from an input source
annotationDocument - Variable in class edu.stanford.nlp.pipeline.CoreDocument
AnnotationExtractRule() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
AnnotationExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
annotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule: Annotation field to apply rule over: text or tokens or numerizedtokens
AnnotationIterator - Class in edu.stanford.nlp.pipeline: Helper iterator to read a file with stored annotations
AnnotationIterator(String) - Constructor for class edu.stanford.nlp.pipeline.AnnotationIterator
AnnotationIterator(String, int) - Constructor for class edu.stanford.nlp.pipeline.AnnotationIterator
AnnotationLookup - Class in edu.stanford.nlp.ling: Provides a mapping between CoreAnnotation keys, which are classes, and a text String that names them, which is needed for things like text serializations and the Semgrex query language.
AnnotationMatchedFilter(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
AnnotationOutputter - Class in edu.stanford.nlp.pipeline: An interface for outputting CoreNLP Annotations to different output formats.
AnnotationOutputter() - Constructor for class edu.stanford.nlp.pipeline.AnnotationOutputter
AnnotationOutputter.Options - Class in edu.stanford.nlp.pipeline
AnnotationPipeline - Class in edu.stanford.nlp.pipeline: This class is designed to apply multiple Annotators to an Annotation.
AnnotationPipeline(List<Annotator>) - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
AnnotationPipeline() - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
annotations - Variable in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams: This data structure dictates how an arbitrary tree should be annotated.
annotations - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
AnnotationSerializer - Class in edu.stanford.nlp.pipeline
AnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer
AnnotationSerializer.IntermediateEdge - Class in edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateNode - Class in edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateSemanticGraph - Class in edu.stanford.nlp.pipeline
AnnotationSource - Interface in edu.stanford.nlp.pipeline: Data source from which annotations comes from
annotationsToSkip - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
annotationToDoc(Annotation, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter: Converts the given annotation to an XML document using options taken from the StanfordCoreNLP pipeline
annotationToDoc(Annotation, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter: Converts the given annotation to an XML document using the specified options
annotationToTmlTextElement(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
annotationToXmlDocument(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
AnnotationUtils - Class in edu.stanford.nlp.ie.machinereading.structure: Utilities to manipulate Annotations storing datasets or sentences with Machine Reading info
Annotator - Interface in edu.stanford.nlp.pipeline: This is an interface for adding annotations to a partially annotated Annotation.
annotatorEndpoint - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
AnnotatorImplementations - Class in edu.stanford.nlp.pipeline: A class abstracting the implementation of various annotators.
AnnotatorImplementations() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorImplementations
AnnotatorPool - Class in edu.stanford.nlp.pipeline: An object for keeping track of Annotators.
AnnotatorPool() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorPool: Create an empty AnnotatorPool.
annotatorProvides - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
annotatorRequires - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
AnnotatorSignature(String, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP.AnnotatorSignature
announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
anonymyizeNodes(Iterable<IndexedWord>, String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given an iterable set of distinct vertices, creates a new mapping that maps the original vertices to a set of "generic" versions.
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
ANSWER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
answerClass - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
answerLabel - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
AnswerProbAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
answers - Static variable in class edu.stanford.nlp.ie.util.FixLocation
AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules: Is the speaker for mention the same entity as the ant entity?
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules: Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) - Static method in class edu.stanford.nlp.coref.CorefRules: The antecedent matches the speaker annotation found in the mention
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules: Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) - Static method in class edu.stanford.nlp.dcoref.Rules: The antecedent matches the speaker annotation found in the mention
antecedentOrdering - Variable in class edu.stanford.nlp.coref.data.Mention
ANY - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
ANY - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
ANY_DISTANCE_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
ANY_NODE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
ANY_NODE_PATTERN - Static variable in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
ANY_NODE_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
ANY_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
Any_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: Any = 1;
ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
AnyNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
aOverAFilter - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
APOSTROPHE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
appearEarlierThan(Mention) - Method in class edu.stanford.nlp.coref.data.Mention: Find which mention appears first in a document
appearEarlierThan(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find which mention appears first in a document
append(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Append to the current feature name
append(char) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Append to the current feature name
append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement: Append to replacement list our list of replacement items.
append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.GroupMatchReplacement: Append to replacement list the matched group with the specified group id
append(SequenceMatchResult<T>, List<T>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatcher.MatchReplacement: Append to replacement list.
append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement: Append to replacement list the matched group with the specified group name
append(CharSequence) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
append(CharSequence, int, int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
append(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
appendCoreMap(List<T>, CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
appendDateFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
appendingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
AppendingObjectOutputStream(OutputStream) - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer.AppendingObjectOutputStream
appendLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
appendOffset(StringBuilder, int) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
appendRules(List<SequenceMatchRules.Rule>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Add specified rules to this extractor.
appendTimeFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
appliesNumericClassifiers() - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
apply(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Maps a String input to an XML-formatted rendition of applying NER to the String.
apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
apply(List<HasWord>) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper: Converts an input list of HasWord in IBM Arabic to LDC ATBv3 representation.
apply(String) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper: Applies escaping to a single word.
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
apply(SequenceMatchResult<CoreMap>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
apply(SequenceMatchResult<T>, int...) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchAction
apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
apply(MR) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
apply(SequenceMatchResult<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
apply(String) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
apply(Env, List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction: Applies the function to the list values using the environment as context and returns the evaluated value.
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
apply(SemanticGraph, Boolean) - Method in class edu.stanford.nlp.naturalli.ForwardEntailer: Create a new search problem instance, given a sentence (possibly fragment), and the corresponding parse tree.
apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParserGrammar: Parses the list of HasWord.
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
apply(Pair<UnaryGrammar, BinaryGrammar>) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother: Destructively modifies the input and returns it as a convenience.
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem: Apply the given transition to the given configuration, modifying the configuration's state in place.
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition: Add a binary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition: Add a binary node to the existing node on top of the stack
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition: Add a unary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition: Add a unary node to the existing node on top of the stack
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition: Do nothing
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition: Do nothing
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition: Add the new preterminal to the stack, increment the queue position.
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition: Add the new preterminal to the stack, increment the queue position.
apply(State) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition: Applies this transition to get a new state.
apply(State, double) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition: Applies this transition to get a new state.
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition: Add a unary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition: Add a unary node to the existing node on top of the stack
apply(List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize: Americanize the HasWord or String coming in.
apply(String) - Method in class edu.stanford.nlp.process.AmericanizeFunction
apply(String) - Method in class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
apply(String) - Method in class edu.stanford.nlp.process.LowercaseFunction
apply(Object) - Method in class edu.stanford.nlp.process.Morphology
apply(List<IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor: Escape a List of HasWords.
apply(Word) - Method in class edu.stanford.nlp.process.Stemmer: Stems word (which must be a Word, or else a ClassCastException will be thrown, and returns stemmed Word.
apply(String) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
apply(String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.common.Tagger
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger: Expects a sentence and returns a tagged sentence.
apply(SUTime.Temporal, SUTime.Temporal, int) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(SUTime.Temporal, SUTime.Temporal) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(SUTime.Temporal...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(Object...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(String) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
apply(MatchResult) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JavaDateFormatExtractor
apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
apply(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank: Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.FilteringTreebank: Applies the TreeVisitor, but only to the trees that pass the filter.
apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.arabic.ATBEscaper
apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper: Note: At present this clobbers the input list items.
apply(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.TraditionalSimplifiedCharacterMap
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Apply the TreeVisitor tp to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank: Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank: Apply a TreeVisitor to each tree in the Treebank.
apply(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
apply(String) - Method in enum edu.stanford.nlp.util.logging.Color
apply() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Apply this configuration to Redwood
apply(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Parses a properties file and applies it immediately to Redwood
apply(RedwoodConfiguration, Redwood.RecordHandlerTree) - Method in interface edu.stanford.nlp.util.logging.RedwoodConfiguration.Thunk
apply(Properties) - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration: Configures the Redwood logger using a reasonable set of defaults, which can be overruled by the supplied Properties file.
apply(String) - Method in enum edu.stanford.nlp.util.logging.Style
apply(String) - Method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
APPLY_NUMERIC_CLASSIFIERS_DEFAULT - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
APPLY_NUMERIC_CLASSIFIERS_PROPERTY - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
ApplyDepPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.dep: Applying Dependency patterns to sentences.
ApplyDepPatterns(Map<String, DataInstance>, List<String>, Map<SemgrexPattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.dep.ApplyDepPatterns
applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) - Method in class edu.stanford.nlp.classify.Dataset: Applies feature count thresholds to the Dataset.
applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset: Applies a feature count threshold to the Dataset.
applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset: Applies a feature count threshold to the RVFDataset.
applyFeatureCountThreshold(Collection<String>, int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseWordFeatureExtractor
applyFeatureCountThreshold(Collection<String>, int) - Method in interface edu.stanford.nlp.parser.lexparser.WordFeatureExtractor
applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset: Applies a max feature count threshold to the Dataset.
applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset: Applies a feature max count threshold to the RVFDataset.
applyNERPenalty - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
applyNumericClassifiers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
applyPats(Counter<E>, String, TwoDimensionalCounter<CandidatePhrase, E>, CollectionValuedMap<E, Triple<String, Integer, Integer>>, Set<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ScorePhrases
ApplyPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.surface: Applying SurfacePattern to sentences.
ApplyPatterns(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatterns
ApplyPatternsMulti<E extends Pattern> - Class in edu.stanford.nlp.patterns.surface
ApplyPatternsMulti(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatternsMulti
applyPrior(double[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
applySpecializedNER(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer: Runs a deterministic named entity classifier which is good at recognizing numbers and money and date expressions not recognized by our statistical NER.
applyTo(SemanticGraph, ClauseSplitterSearchProblem.State, SemanticGraphEdge, SemanticGraphEdge, SemanticGraphEdge) - Method in interface edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.Action: Apply this action to the given state.
applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
applyToTruthValue(boolean) - Method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Implements the finite state automata of composing the truth value of a sentence with a natural logic relation being applied.
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "appositional modifier" grammatical relation.
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "appositional modifier" (appos) grammatical relation (abstract).
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "appositional modifier" grammatical relation.
appositions - Variable in class edu.stanford.nlp.coref.data.Mention: Set of other mentions in the same sentence that are syntactic appositions to this
appositions - Variable in class edu.stanford.nlp.dcoref.Mention: Set of other mentions in the same sentence that are syntactic appositions to this
APPOSITIONS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
APPROVE_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
approx - Variable in class edu.stanford.nlp.time.SUTime.Temporal
approxAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
approxCombinedAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
APPROXIMATE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
approximate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions: Treat durations as approximate
APPROXIMATE - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
APPROXIMATE_EQUIVALENCE_CLASSES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
approximateEntityMatchScore(String, String) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem: Approximately check if two entities are equivalent.
ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
ApproxMatch<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher: Represents an approximate match with a cost
ApproxMatch() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
ApproxMatch(List<K>, V, int, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double, Interval[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
APRIL - Static variable in class edu.stanford.nlp.time.SUTime
ARABIC - Static variable in class edu.stanford.nlp.swing.FontDetector
ARABIC_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo: list of properties files for each language
Arabic_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: Arabic = 2;
arabicAoverAFilter(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
ArabicCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
ArabicDocument - Class in edu.stanford.nlp.simple: A sentence running with the Arabic models.
ArabicDocument(String) - Constructor for class edu.stanford.nlp.simple.ArabicDocument: Create a new document from the passed in text.
ArabicDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.ArabicDocument: Convert a CoreNLP Annotation object to a Document.
ArabicDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.ArabicDocument: Create a Document object from a read Protocol Buffer.
ArabicDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.ArabicDocument: Create a new Arabic document from the passed in text and the given properties.
ArabicDocumentReaderAndWriter - Class in edu.stanford.nlp.international.arabic.process: Reads newline delimited UTF-8 Arabic sentences with or without gold segmentation markers.
ArabicDocumentReaderAndWriter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation - Class in edu.stanford.nlp.international.arabic.process
ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic: Find the head of an Arabic tree, using the usual kind of heuristic head finding rules.
ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder: Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic: Extracts morphosyntactic features from BAMA/SAMA analyses.
ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic: Converts features specifications to labels for tagging
arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
ArabicRawTreeNormalizer(PrintWriter, PrintWriter) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ARABICSEG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
ArabicSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
ArabicSegmenter - Class in edu.stanford.nlp.international.arabic.process: Arabic word segmentation model based on conditional random fields (CRF).
ArabicSegmenter(Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter: Make an Arabic Segmenter.
ArabicSegmenter(ArabicSegmenter) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter: Copy constructor.
ArabicSegmenterAnnotator - Class in edu.stanford.nlp.pipeline: This class will add segmentation information to an Annotation.
ArabicSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.international.arabic.process: Feature factory for the IOB clitic segmentation model described by Green and DeNero (2012).
ArabicSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
ArabicSentence - Class in edu.stanford.nlp.simple: A Sentence, but in Arabic.
ArabicSentence(String) - Constructor for class edu.stanford.nlp.simple.ArabicSentence
ArabicSentence(List<String>) - Constructor for class edu.stanford.nlp.simple.ArabicSentence
ArabicSentence(CoreNLPProtos.Sentence) - Constructor for class edu.stanford.nlp.simple.ArabicSentence
ArabicSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
ArabicTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process: Tokenizer for UTF-8 Arabic.
ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
ArabicTokenizer.ArabicTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
ArabicTokenizerTester - Class in edu.stanford.nlp.international.arabic.process: Compares the output of the JFlex-based ArabicTokenizer to DefaultLexicalMapper, which is used in the parser and elsewhere.
ArabicTokenizerTester() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicTokenizerTester
ArabicTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.arabic: Specifies the treebank/language specific components needed for parsing the Penn Arabic Treebank (ATB).
ArabicTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
ArabicTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: A TreebankLangParserParams implementing class for the Penn Arabic Treebank.
ArabicTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
ArabicTreebankParserParams.ArabicSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
ArabicTreebankTokenizer - Class in edu.stanford.nlp.trees.international.arabic: Builds a tokenizer for the Penn Arabic Treebank (ATB) using a StreamTokenizer.
ArabicTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
ArabicTreeDecimatedNormalizer(String, boolean, boolean) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset.ArabicTreeDecimatedNormalizer
ArabicTreeNormalizer - Class in edu.stanford.nlp.trees.international.arabic: Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB) trees.
ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer.ArabicEmptyFilter - Class in edu.stanford.nlp.trees.international.arabic: Remove traces and pronoun deletion markers.
ArabicTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic: Reads ArabicTreebank trees.
ArabicTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
ArabicTreeTaggedNormalizer(PrintWriter, PrintWriter) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.TaggedArabicDataset.ArabicTreeTaggedNormalizer
ArabicUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: This is a basic unknown word model for Arabic.
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel: This constructor creates an UWM with empty data structures.
ArabicUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
ArabicUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
ArabicUtils - Class in edu.stanford.nlp.trees.international.arabic: This class contains tools for dealing with arabic text, in particular conversion to IBM normalized Arabic.
ArabicUtils() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicUtils
ArabicVerbStemBank - Class in edu.stanford.nlp.international.arabic: A singleton class backed by a map between words and stems.
ArabicWordLists - Class in edu.stanford.nlp.international.arabic: Manually-generated (unvocalized) word lists for different Arabic word categories.
arbitraryInputLayerSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Arc(TransducerGraph.Arc<NODE, IN, OUT>) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
Arc(NODE, NODE) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
Arc(NODE, NODE, IN) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
Arc(NODE, NODE, IN, OUT) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
ARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
ArcStandard - Class in edu.stanford.nlp.parser.nndep: Defines an arc-standard transition-based dependency parsing system (Nivre, 2004).
ArcStandard(TreebankLanguagePack, List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.nndep.ArcStandard
areEqual(T, T) - Method in interface edu.stanford.nlp.stats.EquivalenceClassEval.EqualityChecker: Returns true iff o1 and o2 are equal by the desired evaluation criterion.
areEqual(Object, Object) - Method in class edu.stanford.nlp.trees.WordCatEqualityChecker
areTransitionsEqual(State) - Method in class edu.stanford.nlp.parser.shiftreduce.State: Whether or not the transitions that built the two states are equal.
arg - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
ARG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
argCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Stores all the counts for dependencies (with and without the word being a wildcard) in the reduced tag space.
ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
argmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>, E) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in the Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.Distribution
argmax(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the largest count.
argmax_tieLast(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmin(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in this Counter with the smallest count.
argmin(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in this Counter with the smallest count.
argmin(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the smallest count.
argmin() - Method in class edu.stanford.nlp.stats.IntCounter: Finds and returns the key in this Counter with the smallest count.
ARGNAME_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
argNames - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: List of argument names in this relation
args - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: List of arguments in this relation If unnamed, arguments MUST be stored in semantic order, e.g., ARG0 must be a person in a employed-by relation
ARGS_TO_DROP - Static variable in class edu.stanford.nlp.process.stattok.StatTokSentTrainer
argsBox - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
ArgsBox() - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.ArgsBox
argsMatch(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
argsMatch(ExtractionObject...) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
argsMatch(List<ExtractionObject>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: Verifies if the two sets of arguments match
argsToMap(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils: Parses command line arguments into a Map.
argsToProperties(String...) - Static method in class edu.stanford.nlp.util.StringUtils: In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils: Analogous to StringUtils.argsToMap(java.lang.String[]).
argsToPropertiesWithResolve(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: convert args to properties with variable names resolved.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "argument" (arg) grammatical relation (abstract).
ARGUMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "argument" grammatical relation.
ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
ArgumentParser - Class in edu.stanford.nlp.util: A class to set command line options.
ArgumentParser.Option - Annotation Type in edu.stanford.nlp.util
ArgUtils - Class in edu.stanford.nlp.parser.common: Utility methods or common blocks of code for dealing with parser arguments, such as extracting Treebank information
ARMY_TIME_MORNING - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, List<List<Mention>>, boolean) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, boolean) - Method in class edu.stanford.nlp.dcoref.MentionExtractor: Post-processes the extracted mentions.
ARRAY_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
ArrayCoreMap - Class in edu.stanford.nlp.util: Base implementation of CoreMap backed by two Java arrays.
ArrayCoreMap() - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Default constructor - initializes with default initial annotation capacity of 4.
ArrayCoreMap(int) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Initializes this ArrayCoreMap, pre-allocating arrays to hold up to capacity key,value pairs.
ArrayCoreMap(ArrayCoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Copy constructor.
ArrayCoreMap(CoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Copy constructor.
ArrayDataSeries(String) - Constructor for class edu.stanford.nlp.stats.DataSeries.ArrayDataSeries
ArrayDataSeries(String, double[]) - Constructor for class edu.stanford.nlp.stats.DataSeries.ArrayDataSeries
ArrayDataSeries(String, double[], DataSeries) - Constructor for class edu.stanford.nlp.stats.DataSeries.ArrayDataSeries
ArrayHeap<E> - Class in edu.stanford.nlp.util: Implements a heap as an ArrayList.
ArrayHeap(Comparator<? super E>) - Constructor for class edu.stanford.nlp.util.ArrayHeap: Create an ArrayHeap.
ArrayHeap(Comparator<? super E>, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
arrayListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory: Return a factory for making ArrayList Collections.
arrayListFactory(int) - Static method in class edu.stanford.nlp.util.CollectionFactory
ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
ArrayMap<K,V> - Class in edu.stanford.nlp.util: Map backed by an Array.
ArrayMap() - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(int) - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(Map<? extends K, ? extends V>) - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(K[], V[]) - Constructor for class edu.stanford.nlp.util.ArrayMap
arrayMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory: Return a MapFactory that returns an ArrayMap.
ArrayMath - Class in edu.stanford.nlp.math: Methods for operating on numerical arrays as vectors and matrices.
ArrayMath.InvalidElementException - Exception in edu.stanford.nlp.math
ArraySet<E> - Class in edu.stanford.nlp.util: An array-backed set.
ArraySet() - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet.
ArraySet(List<E>) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet, using the given list as the backing collection.
ArraySet(int) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet with specified initial size of backing array.
ArraySet(E...) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet with the specified elements.
arraySize - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
ArrayStringFilter - Class in edu.stanford.nlp.util: Filters Strings based on whether they exactly match any string in the array it is initially constructed with.
ArrayStringFilter(ArrayStringFilter.Mode, String...) - Constructor for class edu.stanford.nlp.util.ArrayStringFilter
ArrayStringFilter.Mode - Enum in edu.stanford.nlp.util
arrayToFile(double[], String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
ArrayUtils - Class in edu.stanford.nlp.util: Static utility methods for operating on arrays.
asAnnotation() - Method in class edu.stanford.nlp.simple.Document: Return this Document as an Annotation object.
asArray(Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters: Convert a counter to an array using a specified key index.
asArray(Counter<E>, Index<E>, int) - Static method in class edu.stanford.nlp.stats.Counters: Convert a counter to an array using a specified key index.
asArray(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Convert a counter to an array, the order of the array is random
asArrayList(Iterator<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables: Creates an ArrayList containing all of the Objects returned by the given Iterator.
ASBCunkDict - Class in edu.stanford.nlp.tagger.maxent
ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
asCharacterArray(String) - Static method in class edu.stanford.nlp.util.Characters: Map a String to an array of type Character.
ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
ASCII_QUOTES - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
asciiQuotes(String) - Static method in class edu.stanford.nlp.process.LexerUtils: Convert all single and double quote like characters to the ASCII quote characters: ' ".
asCollection(Iterator<? extends E>, CollectionFactory<E>) - Static method in class edu.stanford.nlp.util.Iterables: Creates a new Collection from the given CollectionFactory, and adds all of the Objects returned by the given Iterator.
asCoreLabels(Function<Sentence, Object>...) - Method in class edu.stanford.nlp.simple.Sentence: Returns this sentence as a list of CoreLabels representing the sentence.
asCoreMap(Function<Sentence, Object>...) - Method in class edu.stanford.nlp.simple.Sentence: Returns this sentence as a CoreNLP CoreMap object.
asCounter(Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters: Takes in a Collection of something and makes a counter, incrementing once for each object in the collection.
asCounter(FixedPrioritiesPriorityQueue<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter whose keys are the elements in this priority queue, and whose counts are the priorities in this queue.
asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple: An optional method, returning the dependency tree this triple was extracted from
asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree: An optional method, returning the dependency tree this triple was extracted from
asDOTString() - Method in class edu.stanford.nlp.fsm.TransducerGraph
asDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.CollectionUtils
asExpression(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
asFeatures() - Method in class edu.stanford.nlp.ie.crf.CRFDatum: Returns the collection that this BasicDatum was constructed with.
asFeatures() - Method in class edu.stanford.nlp.ling.BasicDatum: Returns the collection that this BasicDatum was constructed with.
asFeatures() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns this (the features are the list of words).
asFeatures() - Method in interface edu.stanford.nlp.ling.Featurizable: returns Object as a Collection of its features
asFeatures() - Method in class edu.stanford.nlp.ling.RVFDatum: Returns the list of features without values
asFeaturesCounter() - Method in class edu.stanford.nlp.ling.RVFDatum: Returns the Counter of features and values
asFeatureVals() - Method in class edu.stanford.nlp.ie.crf.CRFDatum: Returns the double array containing the feature values.
asHashSet(Iterator<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables: Creates a HashSet containing all of the Objects returned by the given Iterator.
ASIAN_SMILEY - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
asImmutableSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Return an immutable Set containing the same elements as the specified array.
asIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.CollectionUtils
asList() - Method in class edu.stanford.nlp.util.ArrayHeap
asList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: needed because Arrays.asList() won't to autoboxing, so if you give it a primitive array you get a singleton list back with just that array as an element.
asList(int[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
asList(double[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
asList() - Method in class edu.stanford.nlp.util.Pair
asList() - Method in class edu.stanford.nlp.util.Quadruple
asList() - Method in class edu.stanford.nlp.util.Quintuple
asList() - Method in class edu.stanford.nlp.util.TreeShapedStack: Returns the current stack as a list
asList() - Method in class edu.stanford.nlp.util.Triple
asMap(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a map view of the given counter.
asMap(COLL, Class<? extends TypesafeMap.Key<V>>) - Static method in class edu.stanford.nlp.util.CoreMaps: Returns a view of a collection of CoreMaps as a Map from each CoreMap to the value it stores under valueKey.
asMap(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Tired of Properties not behaving like Map<String,String>s? This method will solve that problem for you.
asNormalizedCounter(C) - Static method in class edu.stanford.nlp.stats.Counters: L1 normalize a counter.
asObject(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
ASPECT_MARKER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "aspect marker" grammatical relation.
asPrimitiveDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
asPrimitiveIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.ArrayUtils
asProperties(String...) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Create a Properties object from the passed in String arguments.
assemblePredFromXML(Element) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon: Constructs a SsurgPred structure from file, given the root element.
asSentence() - Method in class edu.stanford.nlp.ie.util.RelationTriple: Return the given relation triple as a flat sentence
assertEquals(Set<E>, Set<E>, String, String, boolean, Supplier<String>) - Static method in class edu.stanford.nlp.util.Sets: Tests whether two sets are equal.
assertFinite(double[], String) - Static method in class edu.stanford.nlp.math.ArrayMath
asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Return a Set containing the same elements as the specified array.
asSet(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns a new Set containing all the objects in the specified array.
assign(Expression) - Method in interface edu.stanford.nlp.ling.tokensregex.types.AssignableExpression
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
AssignableExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
AssignableExpression - Interface in edu.stanford.nlp.ling.tokensregex.types: This interface represents an expression that can be assigned to.
AssignableFunctionCallExpression(String, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
AssignableNestedVarExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
AssignableVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr: Assigns group ids to groups embedded in this patterns starting with at the specified number, returns the next available group id.
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
assignMentionIDs(List<List<Mention>>, int) - Static method in class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder
assignMentionIDs(List<List<Mention>>, int) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
AssignmentRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
AssignmentRule(AssignableExpression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
assignOriginalID() - Method in class edu.stanford.nlp.dcoref.Document: When there is no mentionID information (without gold annotation), assign mention IDs
assignSyntacticHead(EntityMention, Tree, List<CoreLabel>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader: Find the index of the head of an entity.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "associative marker" grammatical relation.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "associative modifier" (nmod:assmod) grammatical relation (Chinese-specific).
ASSOCIATIVEM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "associative modifier" grammatical relation.
asSortedList() - Method in class edu.stanford.nlp.util.Beam
asString(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Convert from Properties to String.
assumedTruth - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem: The assumed truth of the original clause.
assumedTruth - Variable in class edu.stanford.nlp.naturalli.SentenceFragment: The assumed truth of this fragment; this is relevant for what entailments are supported
ASSUMEDTRUTH_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
asValue(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
AT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
ATBArabicDataset - Class in edu.stanford.nlp.international.arabic.pipeline: Converts raw ATB trees into a format appropriate for treebank parsing.
ATBArabicDataset() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset
ATBArabicDataset.ArabicRawTreeNormalizer - Class in edu.stanford.nlp.international.arabic.pipeline: A TreeVisitor for raw ATB trees.
ATBCorrector - Class in edu.stanford.nlp.international.arabic.pipeline: Makes ATB trees consistent with ArabicTreebankLanguagePack.
ATBCorrector() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrector
ATBCorrectorVisitor - Class in edu.stanford.nlp.international.arabic.pipeline: Wrapper class for using the ATBCorrector class with TreebankPipeline's TVISITOR parameter.
ATBCorrectorVisitor() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrectorVisitor
ATBEscaper - Class in edu.stanford.nlp.trees.international.arabic: Escapes an Arabic string by replacing ATB reserved words with the appropriate escape sequences.
ATBEscaper() - Constructor for class edu.stanford.nlp.trees.international.arabic.ATBEscaper
atbFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
ATBTreeUtils - Class in edu.stanford.nlp.trees.international.arabic: Various static convenience methods for processing Arabic parse trees.
ATOM_DELIMITER - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
AtomicDouble - Class in edu.stanford.nlp.util.concurrent: A double value that may be updated atomically.
AtomicDouble(double) - Constructor for class edu.stanford.nlp.util.concurrent.AtomicDouble: Creates a new AtomicDouble with the given initial value.
AtomicDouble() - Constructor for class edu.stanford.nlp.util.concurrent.AtomicDouble: Creates a new AtomicDouble with initial value 0.0.
attachedNegatedVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
attachLabels(Tree, Class<? extends CoreAnnotation<Integer>>) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
attachModelToLexicalizedParser() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
attribute - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
Attribute - Class in edu.stanford.nlp.semgraph.semgrex
ATTRIBUTE_PATTERNS - Static variable in class edu.stanford.nlp.scenegraph.EntityExtractor
ATTRIBUTE_QUOTES - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
attributeGloss - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
attributeGloss() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
attributeLemmaGloss() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
attributeMap - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject: This stores any optional attributes of ExtractionObjects
attributeMap() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
attributes - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
attributes - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRegion
attributes() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag: Stores attributes as a Map from keys to values.
attributesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention: Detects if the mention and candidate antecedent agree on all attributes respectively.
attributesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention: Detects if the mention and candidate antecedent agree on all attributes respectively.
AttributesEqualMatchChecker(K...) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AttributesEqualMatchChecker
AttributesEqualMatchChecker(Class...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
ATTRIBUTIONDEPENDENCYGRAPH_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "attributive" grammatical relation.
attrs - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
AttrValue(Env, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
aType - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve: type of mention we want to compare to.
aTypeStr - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
augmentSubsentences - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions: Some training trees will be repeated, with gold transitions given for the first several steps to ensure the parser starts from a good place.
AUGUST - Static variable in class edu.stanford.nlp.time.SUTime
AUTHOR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
AUTHOR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
AuthorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
AUTHORCHARBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
AUTHORCHAREND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
AutomatonCompactor - Interface in edu.stanford.nlp.fsm: Compacts a weighted finite automaton.
AutomatonMinimizer - Interface in edu.stanford.nlp.fsm
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "auxiliary" grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "copula" grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "auxiliary" (aux) grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: An auxiliary of a clause is a non-main verb of the clause, e.g., a modal auxiliary, or a form of be, do or have in a periphrastic tense.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "passive auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "passive" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "auxiliary passive" (auxpass) grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "passive auxiliary" grammatical relation.
auxDataPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
auxiliaries - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
AuxiliaryTree - Class in edu.stanford.nlp.trees.tregex.tsurgeon
AuxiliaryTree(Tree, boolean) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
auxTagConversion - Static variable in class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
auxTrueCaseModels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
available() - Method in class edu.stanford.nlp.io.ReaderInputStream
available(int) - Static method in class edu.stanford.nlp.net.Ports: Checks to see if a specific port is available.
average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
average(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a new Counter with counts averaged from the two given Counters.
average(Distribution<K>, Distribution<K>) - Static method in class edu.stanford.nlp.stats.Distributions
averageBinaryMatrices(List<TwoDimensionalMap<String, String, SimpleMatrix>>) - Static method in class edu.stanford.nlp.parser.dvparser.AverageDVModels
averageCount() - Method in class edu.stanford.nlp.stats.IntCounter: Returns the mean of all the counts (totalCount/size).
AverageDataSeries(DataSeries[]) - Constructor for class edu.stanford.nlp.stats.DataSeries.AverageDataSeries
averagedModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions: If set to 0, training outputs the last model produced, regardless of its score.
AverageDVModels - Class in edu.stanford.nlp.parser.dvparser: Given a list of input DVParser models, this tool will output a new DVParser which is the average of all of those models.
AverageDVModels() - Constructor for class edu.stanford.nlp.parser.dvparser.AverageDVModels
averageModels(Collection<PerceptronModel>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
averagePerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
averageScoredModels(Collection<ScoredObject<PerceptronModel>>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
averageUnaryMatrices(List<Map<String, SimpleMatrix>>) - Static method in class edu.stanford.nlp.parser.dvparser.AverageDVModels
awaitTermination(long, TimeUnit) - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper: After a shutdown request, await for the final termination of all threads.

B

B3Evaluator() - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils.B3Evaluator
BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "ba" grammatical relation.
BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "ba" grammatical relation.
backEdge - Variable in class edu.stanford.nlp.parser.lexparser.Item
BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer
BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.pascal.PascalTemplate
BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
BACKGROUND_SYMBOL_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
backgroundIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
backgroundNerTag - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
backgroundNerTag - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
backgroundSymbol() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Returns the background class for the classifier.
backgroundSymbol() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
backgroundSymbol - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
backgroundSymbol - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
backgroundSymbol - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
backgroundSymbol - Variable in class edu.stanford.nlp.ie.UniformPrior
backgroundSymbol - Static variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
backgroundSymbol - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
backHook - Variable in class edu.stanford.nlp.parser.lexparser.Edge
backingLabel() - Method in class edu.stanford.nlp.ling.IndexedWord: Return the CoreLabel behind this IndexedWord
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, SimpleMatrix) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
backpropLopTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BackRefPatternExpr(SequencePattern.NodesMatchChecker, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
BacktrackingAdaGradOptimizer - Class in edu.stanford.nlp.loglinear.learning: Created on 8/26/15.
BacktrackingAdaGradOptimizer() - Constructor for class edu.stanford.nlp.loglinear.learning.BacktrackingAdaGradOptimizer
BacktrackingAdaGradOptimizer.AdaGradOptimizationState - Class in edu.stanford.nlp.loglinear.learning
BACKWARD_WEIGHT - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
BACKWARD_WINDOW - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
BACKWARD_WINDOW_BIG - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
badLabelsPattern - Static variable in class edu.stanford.nlp.trees.treebank.OntoNotesUDUpdater: Trees to filter out
bagEval - Variable in class edu.stanford.nlp.stats.EquivalenceClassEval
BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
balance() - Method in class edu.stanford.nlp.util.IntervalTree
balance(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
BammanCorefReader - Class in edu.stanford.nlp.quoteattribution: Created by michaelf on 12/30/15.
BammanCorefReader() - Constructor for class edu.stanford.nlp.quoteattribution.BammanCorefReader
BASE_TAGGER_HOME - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger: The directory from which to get taggers when using DEFAULT_NLP_GROUP_MODEL_PATH.
BaseLexicon - Class in edu.stanford.nlp.parser.lexparser: This is the default concrete instantiation of the Lexicon interface.
BaseLexicon(Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
BaseLexicon(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
baseline - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams: Features which should be enabled by default.
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams: Features which should be enabled by default.
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams: Features which should be enabled by default.
BaselineTopSpeakerSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.MSSieves: Return as a guess the most frequent speaker (of the right gender) in the region of text close to the quote.
BaselineTopSpeakerSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>, Map<String, Person.Gender>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
BaseModel - Class in edu.stanford.nlp.parser.shiftreduce
BaseModel(ShiftReduceOptions, Index<Transition>, Set<String>, Set<String>, Set<String>) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BaseModel
BaseModel(BaseModel) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BaseModel
baseParserWeight - Variable in class edu.stanford.nlp.parser.lexparser.Options: If reranking sentences, we can use the score from the original parser as well.
baseTestDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
baseTrainDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BaseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: An unknown word model for a generic language.
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: This constructor creates an UWM with empty data structures.
BaseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
BaseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
basicCategory(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
basicCategory(String) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
basicCategory(String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
basicCategory(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns the basic syntactic category of a String.
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
basicCategory(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns the basic syntactic category of a String by truncating stuff after a (non-word-initial) occurrence of one of the labelAnnotationIntroducingCharacters().
BasicCategoryTagProjection - Class in edu.stanford.nlp.parser.lexparser
BasicCategoryTagProjection(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.BasicCategoryTagProjection
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor: Whether basic category tags are in the dependency grammar.
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Where to use the basic or split tags in the dependency grammar
BasicCategoryTreeTransformer - Class in edu.stanford.nlp.trees: Transforms trees by turning the labels into their basic categories according to the TreebankLanguagePack
BasicCategoryTreeTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
BasicCondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
BasicCoreMapSequenceMatcher(SequencePattern<CoreMap>, CoreMap) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher
BasicDatum<LabelType,FeatureType> - Class in edu.stanford.nlp.ling: Basic implementation of Datum interface that can be constructed with a Collection of features and one more more labels.
BasicDatum(Collection<FeatureType>, Collection<LabelType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with the given features and labels.
BasicDatum(Collection<FeatureType>, LabelType) - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with the given features and label.
BasicDatum(Collection<FeatureType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with the given features and no labels.
BasicDatum() - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with no features or labels.
BASICDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
BasicDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
basicDependency - Variable in class edu.stanford.nlp.coref.data.Mention
BasicDocument<L> - Class in edu.stanford.nlp.ling: Basic implementation of Document that should be suitable for most needs.
BasicDocument() - Constructor for class edu.stanford.nlp.ling.BasicDocument: Constructs a new (empty) BasicDocument using a PTBTokenizer.
BasicDocument(TokenizerFactory<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument: Constructs a new (empty) BasicDocument using the given tokenizer.
BasicDocument(Document<L, Word, Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
BasicDocument(Collection<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
BasicEntityExtractor - Class in edu.stanford.nlp.ie.machinereading: Uses parsed files to train classifier and test on data set.
BasicEntityExtractor(String, boolean, Set<String>, boolean, EntityMentionFactory, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
BasicFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
BasicFeatureFactory() - Constructor for class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
BasicMatchReplacement(T...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
BasicMatchReplacement(List<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
BasicPipelineExample - Class in edu.stanford.nlp.examples
BasicRelationExtractor - Class in edu.stanford.nlp.ie.machinereading
BasicRelationExtractor(RelationFeatureFactory, Boolean, RelationMentionFactory) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
BasicRelationFeatureFactory - Class in edu.stanford.nlp.ie.machinereading
BasicRelationFeatureFactory(String...) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
BasicSequenceExtractRule(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.BasicSequenceExtractRule
BasicSequenceMatchResult<T> - Class in edu.stanford.nlp.ling.tokensregex: Basic results for a Sequence Match
BasicSequenceMatchResult() - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
BasicSequenceMatchResult.MatchedGroup - Class in edu.stanford.nlp.ling.tokensregex
BasicSequencePatternTrigger(MultiPatternMatcher.NodePatternTrigger<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
BasicValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
batchProcessSents - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Use this option if you are limited by memory ; ignored if fileFormat is ser.
batchSize - Variable in class edu.stanford.nlp.optimization.SparseAdaGradMinimizer
batchSize - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
batchSize - Variable in class edu.stanford.nlp.parser.nndep.Config: Size of mini-batch for training.
batchSize - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
Beam<T> - Class in edu.stanford.nlp.util: Implements a finite beam, taking a comparator (default is ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to the comparator is the one to be removed) and a beam size on construction (default is 100).
Beam() - Constructor for class edu.stanford.nlp.util.Beam
Beam(int) - Constructor for class edu.stanford.nlp.util.Beam
Beam(int, Comparator<? super T>) - Constructor for class edu.stanford.nlp.util.Beam
BeamBestSequenceFinder - Class in edu.stanford.nlp.sequences: A class capable of computing the best sequence given a SequenceModel.
BeamBestSequenceFinder(int) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
BeamBestSequenceFinder(int, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
BeamBestSequenceFinder(int, boolean, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
beamSize - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTestOptions
beamSize - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
beamSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
beAuxiliaryRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
before(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention: Verifies if this mention appears before the parameter in textual order
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
before() - Method in class edu.stanford.nlp.ling.IndexedWord
before() - Method in class edu.stanford.nlp.simple.Sentence: The whitespace before each token in the sentence.
before(int) - Method in class edu.stanford.nlp.simple.Sentence: The whitespace before this token in the sentence.
before() - Method in class edu.stanford.nlp.simple.Token
BEFORE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
beforeQuotePunctuation - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve: A logger for this class
beGetVerbs - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
begin - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve.MentionData
begin() - Method in class edu.stanford.nlp.time.SUTime.Range
begin - Variable in class edu.stanford.nlp.time.Timex.Range
BEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
BEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
BEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
BEGINCHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
BEGININDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
BEGININDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
BeginIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
beginPoint() - Method in class edu.stanford.nlp.time.Timex
BEGINPOINT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
beginPosition() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the beginning char offset of the label (or -1 if none).
beginPosition() - Method in interface edu.stanford.nlp.ling.HasOffset: Return the beginning char offset of the label (or -1 if none).
beginPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
beginPosition() - Method in class edu.stanford.nlp.ling.StringLabel
beginPosition() - Method in class edu.stanford.nlp.simple.Token
BeginSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
beginTime() - Method in class edu.stanford.nlp.time.SUTime.Range
belongToLists - Variable in class edu.stanford.nlp.coref.data.Mention: Set of other mentions in the same sentence that I am a member of
belongToLists - Variable in class edu.stanford.nlp.dcoref.Mention: Set of other mentions in the same sentence that I am a member of
BELONGTOLISTS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
belowLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
benchmarkOptimizer() - Method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark
berkeleyAlignerLoadPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
best() - Method in class edu.stanford.nlp.util.EditDistance
BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
bestEntityMention(List<CoreMap>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
BestOfTopKEval - Class in edu.stanford.nlp.parser.metrics: Applies an AbstractEval to a list of trees to pick the best tree using F1 measure.
BestOfTopKEval(AbstractEval, AbstractEval) - Constructor for class edu.stanford.nlp.parser.metrics.BestOfTopKEval
bestScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
bestSequence(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
bestSequence(SequenceModel) - Method in interface edu.stanford.nlp.sequences.BestSequenceFinder: Finds the best sequence for the sequence model based on its scoring.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder: Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder: Runs the Viterbi algorithm on the sequence model in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler: Finds the best sequence by collecting numSamples samples, scoring them, and then choosing the highest scoring sample.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceSampler: Samples each label in turn from left to right.
BestSequenceFinder - Interface in edu.stanford.nlp.sequences: An interface for classes capable of computing the best sequence given a SequenceModel.
bestSequenceWithLinearConstraints(SequenceModel, double[][]) - Static method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
better(double, double) - Static method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
better(double, double) - Method in class edu.stanford.nlp.util.EditDistance
bg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
bg - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
bg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
biAlignmentPriorIsPMI - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BiasedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify: Maximizes the conditional likelihood with a given prior.
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogisticObjectiveFunction - Class in edu.stanford.nlp.classify
BiasedLogisticObjectiveFunction(int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
biasedTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BiesModifiedMapper - Class in edu.stanford.nlp.international.arabic.pipeline
BiesModifiedMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.BiesModifiedMapper
bigramLM - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BigWindowArabicSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.international.arabic.process: Feature factory for the IOB clitic segmentation model described by Green and DeNero (2012).
BigWindowArabicSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.international.arabic.process.BigWindowArabicSegmenterFeatureFactory
BijectiveFunction<T1,T2> - Interface in edu.stanford.nlp.util: A Function that is invertible, and so has the unapply method.
BikelChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: A headfinder implementing Dan Bikel's head rules.
BikelChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
BikelChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
bikelHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser: Implements Eisner and Satta style algorithms for bilexical PCFG parsing.
BiLexPCFGParser(Scorer, ExhaustivePCFGParser, ExhaustiveDependencyParser, BinaryGrammar, UnaryGrammar, DependencyGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
BiLexPCFGParser.N5BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser
bilinearProducts(SimpleMatrix) - Method in class edu.stanford.nlp.neural.SimpleTensor: Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.
BINARIZEDPARSETREE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
BinarizedTreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.BinarizedTreeAnnotation
BinarizerAnnotator - Class in edu.stanford.nlp.pipeline: This annotator takes unbinarized trees (from the parser annotator or elsewhere) and binarizes them in the attachment.
BinarizerAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.BinarizerAnnotator
binarizeTreebank(Iterable<Tree>, Options) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
BINARY_APPROXIMATE_EQUIVALENCE_CLASSES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
BINARY_DEFAULT_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
binaryClassification - Variable in class edu.stanford.nlp.sentiment.SentimentModel: CxN+1, where N = size of word vectors, C is the number of classes
binaryClassificationSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel: How many elements a classification matrix has
BinaryGrammar - Class in edu.stanford.nlp.parser.lexparser: Maintains efficient indexing of binary grammar rules.
BinaryGrammar(Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammar
BinaryGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
BinaryGrammarExtractor(Options, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
BinaryHeadFinder - Class in edu.stanford.nlp.parser.lexparser
BinaryHeadFinder() - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
BinaryHeadFinder(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util: PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>, int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryRule - Class in edu.stanford.nlp.parser.lexparser: Binary rules (ints for parent, left and right children)
BinaryRule(int, int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule: Create a new BinaryRule with the parent and children coded as ints.
BinaryRule(int, int, int, double) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule
BinaryRule(String, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule: Creates a BinaryRule from String s, assuming it was created using toString().
binaryScore - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
binaryScoreIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTensors - Variable in class edu.stanford.nlp.sentiment.SentimentModel: 2Nx2NxN, where N is the size of the word vectors
binaryTensorSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel: How many elements the binary transformation tensors have
binaryTransform - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTransform - Variable in class edu.stanford.nlp.sentiment.SentimentModel: Nx2N+1, where N is the size of the word vectors
binaryTransformIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTransformSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel: How many elements a transformation matrix has
BinaryTransition - Class in edu.stanford.nlp.parser.shiftreduce: Transition that makes a binary parse node in a partially finished tree.
BinaryTransition(String, BinaryTransition.Side, boolean) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
BinaryTransition.Side - Enum in edu.stanford.nlp.parser.shiftreduce
bind(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.Env
bind(String, SequencePattern) - Method in class edu.stanford.nlp.ling.tokensregex.Env
bind(Env) - Method in interface edu.stanford.nlp.ling.tokensregex.Env.Binder
bind(String, Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
bind(Env) - Method in class edu.stanford.nlp.time.JollyDayHolidays
bindStringRegex(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
binnedLengths - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bioSubmitOutput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceAlignmentPriorPenaltyCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceAlignmentPriorPenaltyEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceAlignmentTestOutput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceClassifierPropCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceClassifierPropEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequencePriorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceTestAlignmentFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceTestFileCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceTestFileEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceTestOutputCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bisequenceTestOutputEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BLACK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
blankDocument() - Method in class edu.stanford.nlp.ling.BasicDocument: Returns a new empty BasicDocument with the same title, labels, and tokenizer as this Document.
blankDocument() - Method in interface edu.stanford.nlp.ling.Document: Returns a new empty Document with the same meta-data (title, labels, etc) as this Document.
BLANKET_NODE_ANON_PREFIX - Static variable in class edu.stanford.nlp.semgraph.SemanticGraphUtils
BLINK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
Block<E> - Interface in edu.stanford.nlp.fsm
BLOCK - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
block(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer: parens
blockInitialize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
blockList - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer
blockTags - Static variable in class edu.stanford.nlp.process.StripTagsProcessor: Block-level HTML tags that are rendered with surrounding line breaks.
BLUE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
BobChrisTreeNormalizer - Class in edu.stanford.nlp.trees: Normalizes trees in the way used in Manning and Carpenter 1997.
BobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
BobChrisTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
BobChrisTreeNormalizer.AOverAFilter - Class in edu.stanford.nlp.trees
BobChrisTreeNormalizer.EmptyFilter - Class in edu.stanford.nlp.trees
BOLD - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
booleanArrToByteArr(boolean[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
booleanArrToByteArr(boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
booleanArrToByteArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
booleanFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BooleanFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
BooleanFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
BooleanLogRecordHandler - Class in edu.stanford.nlp.util.logging: A log message handler designed for filtering.
BooleanLogRecordHandler() - Constructor for class edu.stanford.nlp.util.logging.BooleanLogRecordHandler
bothDepLine - Static variable in class edu.stanford.nlp.misc.DependencyAnalyzer
BoundAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
BOUNDARY - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
BOUNDARY - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
BOUNDARY_TAG - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
BoundaryRemover - Class in edu.stanford.nlp.parser.lexparser: Removes a boundary symbol (Lexicon.BOUNDARY_TAG or Lexicon.BOUNDARY), which is the rightmost daughter of a tree.
BoundaryRemover() - Constructor for class edu.stanford.nlp.parser.lexparser.BoundaryRemover
BOUNDED_RANGE - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
BoundedCostOrderedMap<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher: Map that is sorted by cost.
BoundedCostOrderedMap(ToDoubleFunction<V>, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
BoundedPriorityQueue<E> - Class in edu.stanford.nlp.util: A priority queue that has a fixed bounded size.
BoundedPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.BoundedPriorityQueue
BoundedPriorityQueue(int, Comparator<E>) - Constructor for class edu.stanford.nlp.util.BoundedPriorityQueue
boundingBox - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImageObject
BoWExample - Class in edu.stanford.nlp.scenegraph
BoWExample(IndexedWord, IndexedWord, SemanticGraph) - Constructor for class edu.stanford.nlp.scenegraph.BoWExample
BoWExample.FEATURE_SET - Enum in edu.stanford.nlp.scenegraph
BoWSceneGraphParser - Class in edu.stanford.nlp.scenegraph: A MaxEnt classifier-based scene graph parser.
BoWSceneGraphParser(String, String, Embedding) - Constructor for class edu.stanford.nlp.scenegraph.BoWSceneGraphParser: Constructor.
box(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
box(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
BracketedNode(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
branch(RedwoodConfiguration.Thunk...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Send any incoming messages multiple ways.
BranchAction(Predicate<SequenceMatchResult<T>>, SequenceMatchAction<T>, SequenceMatchAction<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
BROKEN - Static variable in class edu.stanford.nlp.classify.ClassifierExample
bSize - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
bSize - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
bSize - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
Buckwalter - Class in edu.stanford.nlp.international.arabic: This class can convert between Unicode and Buckwalter encodings of Arabic.
Buckwalter() - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
Buckwalter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
buckwalterToUnicode(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
build() - Method in class edu.stanford.nlp.coref.statistical.MaxMarginMentionRanker.Builder
build() - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
build() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel.Builder
build() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Begin a new feature construction.
build() - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset
build() - Method in class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset
build() - Method in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
build() - Method in class edu.stanford.nlp.international.arabic.pipeline.LabeledATBDataset
build() - Method in class edu.stanford.nlp.international.arabic.pipeline.TaggedArabicDataset
build() - Method in class edu.stanford.nlp.international.french.pipeline.FTBDataset
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
build() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
build() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
build() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
build() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
build() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
build() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
build(List<TypedDependency>, TreeGraphNode) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFromDependenciesFactory
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure.FromDependenciesFactory
build() - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
build() - Method in interface edu.stanford.nlp.trees.treebank.Dataset: Generic method for loading, processing, and writing a dataset.
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure.FromDependenciesFactory
buildAndCompactToyGrammars() - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
BuildBinarizedDataset - Class in edu.stanford.nlp.sentiment
buildCharacterMapPerAnnotation - Variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
buildCoNLLXGrammaticalStructure(List<List<String>>, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Builder(String, MetaFeatureExtractor) - Constructor for class edu.stanford.nlp.coref.statistical.MaxMarginMentionRanker.Builder
Builder() - Constructor for class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
Builder(String, MetaFeatureExtractor) - Constructor for class edu.stanford.nlp.coref.statistical.PairwiseModel.Builder
buildGrammars() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
buildMinimizedFA() - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
buildMinimizedFA() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
BuildMultiWordRules - Class in edu.stanford.nlp.process.stattok
buildOFilter() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
buildOScore(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
buildPartial() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
buildPartial() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
buildPartial() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
buildPartial() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
buildPartial() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
buildPartial() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
buildQueryText(List<String>) - Static method in class edu.stanford.nlp.coref.data.Mention
buildQueryText(List<String>) - Static method in class edu.stanford.nlp.dcoref.Mention
buildRelationExtractorMerger(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
buildResponse(double, Double, List<Double>) - Method in class edu.stanford.nlp.parser.metrics.EvaluateExternalParser
buildSaxInterface() - Method in class edu.stanford.nlp.process.TransformXML
buildSplitMap(String) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
buildStateIndex() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
buildThreadPool(int) - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
buildThreadPool(int) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
buildTrainBinarizer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildTrainingOptions(String, String[]) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildTrainTransformer(Options, TreeAnnotatorAndBinarizer) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
builtEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
builtHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
ByFirstPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstPairComparator
ByFirstReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
byFixedIndex(int) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation
BySecondPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondPairComparator
BySecondReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
ByteArrayUtils - Class in edu.stanford.nlp.io: Static methods for putting shorts, ints, and longs into a ByteArrayOutputStream using bit fiddling
ByteArrayUtils() - Constructor for class edu.stanford.nlp.io.ByteArrayUtils
byteArrToAString(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAString(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAStringArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBoolean(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBooleanArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBooleanArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBooleanArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToChar(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToCharArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToCharArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToCharArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToDouble(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToDoubleArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray: This method allocates a new double[] to return, based on the size of the array b (namely b.length / 8 in size)
byteArrToDoubleArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToDoubleArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloat(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloatArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloatArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloatArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToInt(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToIntArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToIntArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToIntArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLong(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLongArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLongArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLongArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShort(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShortArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShortArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShortArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUString(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUString(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUStringArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
BytesFileHandler(String, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.BytesFileHandler
ByteStreamGobbler - Class in edu.stanford.nlp.util: Stream Gobbler that read and write bytes (can be used to gobble byte based stdout from a process.exec into a file)
ByteStreamGobbler(InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
ByteStreamGobbler(String, InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
ByteStreamGobbler(String, InputStream, OutputStream, int) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
byteValue() - Method in class edu.stanford.nlp.util.MutableLong

C

C - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory: C can be tuned using held-out set or cross-validation.
c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: The underlying Collection of input sources.
cache(Supplier<E>) - Static method in class edu.stanford.nlp.util.Lazy: Create a lazy value from the given provider, allowing the value stored in the lazy to be garbage collected if necessary.
cachedMarginal - Variable in class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState
CacheMap<K,V> - Class in edu.stanford.nlp.util: A fixed size hash map with LRU replacement.
CacheMap(int, float, boolean, String) - Constructor for class edu.stanford.nlp.util.CacheMap: Constructor.
CacheMap(int, float, boolean) - Constructor for class edu.stanford.nlp.util.CacheMap
CacheMap(int, float) - Constructor for class edu.stanford.nlp.util.CacheMap
CacheMap(int) - Constructor for class edu.stanford.nlp.util.CacheMap
cacheNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
CacheParseHypotheses - Class in edu.stanford.nlp.parser.dvparser
CacheParseHypotheses(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
cacheVectors() - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorTable: This is an optimization that will fault all the ConcatVectors into memory, and future .get() on the Supplier objs will result in a very fast return by reference.
calculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction: Calculate the conditional likelihood.
calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
calculate(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction: Calculate the conditional likelihood.
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
calculate(double[]) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
calculate(double[]) - Method in class edu.stanford.nlp.classify.ShiftParamsLogisticObjectiveFunction
calculate(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction: Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP: Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel: Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout: Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction: Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction: Calculates both value and partial derivatives at the point x, and save them internally.
calculate(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction: Calculate the value at x and the derivative and save them in the respective fields
calculate(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction: Calculate the value at x and the derivative and save them in the respective fields.
calculate(double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
calculate(double[]) - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient
calculateFeatureImportance(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
calculateHeadSpan - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader: If true, sets the head span to match the syntactic head of the extent.
calculateMAP() - Method in class edu.stanford.nlp.loglinear.inference.CliqueTree: This assumes that factors represent joint probabilities.
calculateMarginals() - Method in class edu.stanford.nlp.loglinear.inference.CliqueTree: This assumes that factors represent joint probabilities.
calculateMarginalsJustSingletons() - Method in class edu.stanford.nlp.loglinear.inference.CliqueTree: This will calculate marginals, but skip the stuff that is created for gradient descent: joint marginals and partition functions.
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerBCubed
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerMUC
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerPairwise
calculateProbs(double[][][]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence: calculateProbs puts log probs of taggings in the probabilities array.
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerBCubed
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerMUC
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerPairwise
calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
calculateScore(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
calculateSigmoids(double[][], int[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction: This function is used to come up with an estimate of the value / gradient based on only a small portion of the data (referred to as the batchSize for lack of a better term.
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction: calculateStochastic needs to calculate a stochastic approximation to the derivative and value of of a function for a given batch of the data.
calculateStochasticAlgorithmicDifferentiation(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
calculateStochasticFiniteDifference(double[], double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction: Performs stochastic gradient update based on samples indexed by batch, but does not apply regularization.
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction: Performs stochastic gradient calculation based on samples indexed by batch and does not apply regularization.
calculateStochasticGradient(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction: Performs stochastic gradient updates based on samples indexed by batch and do not apply regularization.
calculateStochasticGradientLocal(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction: Performs stochastic update of weights x (scaled by xScale) based on samples indexed by batch.
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction: Performs stochastic update of weights x (scaled by xScale) based on samples indexed by batch.
calculateStochasticUpdate(double[], double, int, double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction: Performs stochastic update of weights x (scaled by xScale) based on next batch of batchSize.
calculateSums(double[][], int[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
calculateSums(double[][], int[], double[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
calculateWeird1(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
CALENDAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
call() - Method in class edu.stanford.nlp.patterns.dep.ApplyDepPatterns
call() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass.LabelWithSeedWords
call() - Method in class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt.ChooseDatumsThread
call() - Method in class edu.stanford.nlp.patterns.surface.ApplyPatterns
call() - Method in class edu.stanford.nlp.patterns.surface.ApplyPatternsMulti
call() - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns.CreatePatternsThread
CALL_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
callback(Object...) - Method in class edu.stanford.nlp.util.CallbackFunction
CallbackFunction - Class in edu.stanford.nlp.util: A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
CallbackFunction() - Constructor for class edu.stanford.nlp.util.CallbackFunction
calls - Static variable in class edu.stanford.nlp.time.SUTimeSimpleParser
canAddArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem: Determine whether the given transition is legal for this configuration.
CANCEL_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.GaleP4LexMapper
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.trees.treebank.DefaultMapper
canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper: Indicates whether child can be converted to another encoding.
CandidatePartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.parser.common.ParserAnnotations.CandidatePartOfSpeechAnnotation
CandidatePhrase - Class in edu.stanford.nlp.patterns
canonicalEntityMention() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: return the canonical entity mention for this entity mention
CANONICALENTITYMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
CanonicalEntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CanonicalEntityMentionIndexAnnotation
CANONICALMENTION_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
CanonicalMentionAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionAnnotation
CANONICALMENTIONBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
CanonicalMentionBeginAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionBeginAnnotation
CANONICALMENTIONEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
CanonicalMentionEndAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionEndAnnotation
canonicalMentionMapFromEntityMentions(List<CoreMap>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
canonicalName - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType: A canonical name for this relation type.
canonicalObject - Variable in class edu.stanford.nlp.ie.util.RelationTriple: The object (third argument) of this triple, in its canonical mention (i.e., coref resolved).
canonicalSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the text of the canonical speaker
canonicalSpeakerCharOffsets() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the character offsets of the canonical speaker
canonicalSpeakerEntityMention() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the entity mention corresponding to the canonical speaker if there is one
canonicalSpeakerTokens() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the tokens of the canonical speaker
canonicalSubject - Variable in class edu.stanford.nlp.ie.util.RelationTriple: The subject (first argument) of this triple, in its canonical mention (i.e., coref resolved)
capacity() - Method in class edu.stanford.nlp.util.Beam
capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils: Uppercases the first character of a string.
capture(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Capture a system stream.
captureSystemStreams(boolean, boolean) - Static method in class edu.stanford.nlp.util.logging.Redwood: Captures System.out and System.err and redirects them to Redwood logging.
cardinality - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType: The cardinality of this entity.
CASE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "case" grammatical relation.
CASE_ALLCAPS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
CASE_ALLCAPSORDOTS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
CASE_ALLDIGITS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
CASE_ALLDIGITSORDOTS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
CASE_CAPINI - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
CASE_INCAP - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
CASE_INSENSITIVE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
CASE_MARKER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CASE_MARKER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "prepositional modifier" grammatical relation.
CASE_OTHER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
cased() - Method in class edu.stanford.nlp.simple.Document: Make this document case sensitive.
cased() - Method in class edu.stanford.nlp.simple.Sentence: Make this sentence case sensitive.
casedDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags: Whether to (not) lowercase tokens before looking them up in distsim lexicon.
CaseExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CaseExpression(List<Pair<Expression, Expression>>, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CaseExpression
caseInsensitive - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
caseless() - Method in class edu.stanford.nlp.simple.Document: Make this document caseless.
caseless() - Method in class edu.stanford.nlp.simple.Sentence: Make this sentence caseless.
cast(Iterable<?>, Class<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables: Casts all values in the given Iterable to the given type.
cast(String, Type) - Static method in class edu.stanford.nlp.util.MetaClass: Cast a String representation of an object into that object.
castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
castWithoutKnowingType(String) - Static method in class edu.stanford.nlp.util.MetaClass
CategoricalFeatureExtractor - Class in edu.stanford.nlp.coref.neural: Extracts string matching, speaker, distance, and document genre features from mentions.
CategoricalFeatureExtractor(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor
category() - Method in class edu.stanford.nlp.ling.CategoryWordTag
category() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the category value of the label (or null if none).
category() - Method in interface edu.stanford.nlp.ling.HasCategory: Return the category value of the label (or null if none).
CATEGORY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
categoryAndFunction(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns the syntactic category and 'function' of a String.
categoryAndFunction(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns the syntactic category and 'function' of a String.
CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
CategoryWordTag - Class in edu.stanford.nlp.ling: A CategoryWordTag object acts as a complex Label which contains a category, a head word, and a tag.
CategoryWordTag() - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
CategoryWordTag(String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag: This one argument constructor sets just the value.
CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag: Creates a new CategoryWordTag label from an existing label.
CategoryWordTagFactory - Class in edu.stanford.nlp.ling: A CategoryWordTagFactory is a factory that makes a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.ling.CategoryWordTagFactory
CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
catType - Static variable in class edu.stanford.nlp.trees.WordCatConstituent
CBEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb.CBEval
cCommands(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree: Given nodes t1 and t2 which are dominated by this node, returns true iff t1 c-commands t2.
ccompObjVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
ccompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns: A list of verbs where the answer to a question involving that verb would be a ccomp.
CCtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer: Transforms t if it contains a coordination in a flat structure
cdcTokenizer(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Tokenize, ssplit, and mwt all at once, using ColumnDataClassifier
CEDict - Class in edu.stanford.nlp.trees.international.pennchinese
CENT - Static variable in class edu.stanford.nlp.ie.qe.Units.Currencies
Centuries - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
CENTURY - Static variable in class edu.stanford.nlp.time.SUTime
cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
cf - Variable in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
CGMinimizer - Class in edu.stanford.nlp.optimization: Conjugate-gradient implementation based on the code in Numerical Recipes in C.
CGMinimizer() - Constructor for class edu.stanford.nlp.optimization.CGMinimizer: Basic constructor, use this.
CGMinimizer(boolean) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer: Pass in false to get per-iteration progress reports (to stderr).
CGMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer: Perform minimization with monitoring.
CGRunner - Class in edu.stanford.nlp.maxent: This class will call an optimization method such as Conjugate Gradient or Quasi-Newton on a LambdaSolve object to find optimal parameters, including imposing a Gaussian prior on those parameters.
CGRunner(LambdaSolve, String) - Constructor for class edu.stanford.nlp.maxent.CGRunner: Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner: Set up a LambdaSolve problem for solution by a Minimizer, specifying a value for sigma².
CGRunner(LambdaSolve, String, double, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner: Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double, double[]) - Constructor for class edu.stanford.nlp.maxent.CGRunner: Set up a LambdaSolve problem for solution by a Minimizer.
chain(Comparator<? super T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators: Returns a new Comparator which is the result of chaining the given Comparators.
chain(List<Comparator<? super T>>) - Static method in class edu.stanford.nlp.util.Comparators: Returns a new Comparator which is the result of chaining the given Comparators.
chain(Comparator<T>...) - Static method in class edu.stanford.nlp.util.Comparators
chain(Iterable<? extends Iterable<T>>) - Static method in class edu.stanford.nlp.util.Iterables: Chains together a set of Iterables of compatible types.
chain(Iterable<T>...) - Static method in class edu.stanford.nlp.util.Iterables: Chains together all Iterables of type T as given in an array or varargs parameter.
chain(T[]...) - Static method in class edu.stanford.nlp.util.Iterables: Chains together all arrays of type T[] as given in an array or varargs parameter.
chain(LogRecordHandler[], RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Apply each of the handlers to incoming log messages, in sequence.
chain(LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
CHAINID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
CHANGED_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
changeFeatureIndex(Index<F>) - Method in class edu.stanford.nlp.classify.Dataset
changeIfNecessary(int, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
changeLabelIndex(Index<L>) - Method in class edu.stanford.nlp.classify.Dataset
changePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Changes a priority, either up or down, adding the key it if it wasn't there already.
changePriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Not supported in this implementation.
changePriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue: Changes a priority, either up or down, adding the key it if it wasn't there already.
changeScore(double) - Method in class edu.stanford.nlp.naturalli.SentenceFragment: Changes the score of this fragment in place.
channelColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood: Create an object representing a group of channels.
channels() - Method in class edu.stanford.nlp.util.logging.Redwood.Record: Returns the channels for this record, in sorted order (special channels first, then alphabetical)
channels(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Creates a new RedwoodChannels object, concatenating the channels from this RedwoodChannels with some additional channels.
channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
channelSeparatorChar - Variable in class edu.stanford.nlp.util.logging.OutputHandler: Character used to join multiple channel names
channelStyles - Variable in class edu.stanford.nlp.util.logging.OutputHandler
channelWidth(int) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Set the width of the channels (or 0 to not show channels).
CHAPTER_BREAK - Variable in class edu.stanford.nlp.quoteattribution.ChapterAnnotator
ChapterAnnotation() - Constructor for class edu.stanford.nlp.quoteattribution.ChapterAnnotator.ChapterAnnotation
ChapterAnnotator - Class in edu.stanford.nlp.quoteattribution: Created by mjfang on 12/18/16.
ChapterAnnotator() - Constructor for class edu.stanford.nlp.quoteattribution.ChapterAnnotator
ChapterAnnotator.ChapterAnnotation - Class in edu.stanford.nlp.quoteattribution
CHAPTERINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CHARACTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
CHARACTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CharacterLevelTagExtender - Class in edu.stanford.nlp.trees.international.pennchinese: A transformer to extend tags down to the level of individual characters.
CharacterLevelTagExtender() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CharacterLevelTagExtender
CharacterLevelTagExtender(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CharacterLevelTagExtender
characterMap - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
characterOffsetBegin() - Method in class edu.stanford.nlp.simple.Sentence: The character offset of each token in the sentence, as per CoreLabel.beginPosition().
characterOffsetBegin(int) - Method in class edu.stanford.nlp.simple.Sentence: The character offset of the given index in the sentence.
characterOffsetBegin() - Method in class edu.stanford.nlp.simple.Token
CHARACTEROFFSETBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
characterOffsetEnd() - Method in class edu.stanford.nlp.simple.Sentence: The end character offset of each token in the sentence, as per CoreLabel.endPosition().
characterOffsetEnd(int) - Method in class edu.stanford.nlp.simple.Sentence: The end character offset of the given index in the sentence.
characterOffsetEnd() - Method in class edu.stanford.nlp.simple.Token
CHARACTEROFFSETEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
characters(char[], int, int) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
Characters - Class in edu.stanford.nlp.util: Character-level utilities.
CHARACTERS_FILE - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
CharactersAnnotation() - Constructor for class edu.stanford.nlp.ling.SegmenterCoreAnnotations.CharactersAnnotation
CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
CHARBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
CHAREND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
CharniakParser - Class in edu.stanford.nlp.parser.charniak: Runs the Charniak parser via the command line.
CharniakParser() - Constructor for class edu.stanford.nlp.parser.charniak.CharniakParser
CharniakParser(String, String) - Constructor for class edu.stanford.nlp.parser.charniak.CharniakParser
CharniakParserAnnotator - Class in edu.stanford.nlp.pipeline: This class will add parse information to an Annotation from the BLLIP parser.
CharniakParserAnnotator(String, String, boolean, int) - Constructor for class edu.stanford.nlp.pipeline.CharniakParserAnnotator
CharniakParserAnnotator() - Constructor for class edu.stanford.nlp.pipeline.CharniakParserAnnotator
CharniakScoredParsesReaderWriter - Class in edu.stanford.nlp.parser.charniak: Utility routines for printing/reading scored parses for the Charniak Parser.
charOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression: Character offsets (relative to original text).
charOffsets() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: char offsets of mention
charOffsets() - Method in class edu.stanford.nlp.pipeline.CoreSentence: char offsets of mention
chart - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
charTags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
cheapWordToString(IndexedWord) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode: This converts the node into a simple string based representation.
cheatPCFG - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Add all test set trees to training data for PCFG.
check() - Method in class edu.stanford.nlp.util.IntervalTree
check(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
checkArgs(List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction: Checks if the arguments are valid.
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
checkClean() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
checkClusters(Logger, String, Document) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
checkConstructor(Object...) - Method in class edu.stanford.nlp.util.MetaClass
checkCorrectness() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve: Check whether the constraints are satisfied, the probabilities sum to one, etc.
checkCorrectness() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger: Works out whether the model expectations match the empirical expectations.
checkCrossing(Set<Constituent>, Set<Constituent>) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
checkDic(String, SeqClassifierFlags) - Method in class edu.stanford.nlp.wordseg.NonDict2
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.coref.hybrid.sieve.NameMatch
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.dcoref.sievepasses.NameMatch
checkError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
checkExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
checkFile(File) - Method in class edu.stanford.nlp.ie.NERGUI
checkFlagExclusiveSet(int, int, int) - Static method in class edu.stanford.nlp.util.Interval: Utility function to check if a particular flag is set exclusively given a particular set of flags and a mask.
checkFlagSet(int, int) - Static method in class edu.stanford.nlp.util.Interval: Utility function to check if a particular flag is set given a particular set of flags.
checkForInterrupt() - Static method in class edu.stanford.nlp.coref.CorefUtils
checkGradient - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
checkIllegalAttributes(Map<String, String>) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep: Certain attributes cannot be edited, especially docid, sentid, idx, or they mess up the hashmaps in the SemanticGraph
checkLeafBranching(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser: If an internal node goes directly to a leaf, that is an illegal tree.
checkMemory(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
checkMultipleBitSet(int) - Static method in class edu.stanford.nlp.util.Interval: Utility function to check if multiple bits are set for flags
checkNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
checkNotExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
checkOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Checks if offsets of doc and sentence matches.
checkProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Checks to make sure that all properties specified in properties are known to the program by checking that each simply overrides a default value.
checkRequiredProperties(Properties, String...) - Static method in class edu.stanford.nlp.util.StringUtils: If any of the given list of properties are not found, returns the name of that property.
checkRootTransition(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser: Some trees in the English datasets have a binary transition at the top, which we don't like as it teaches the parser to sometimes make binary transitions in normal trees
checkStatus(URL) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: Return true if the referenced server is alive and returns a non-error response code.
checkTime(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
checkWordListMatch(PhraseTable.Phrase, PhraseTable.WordList, int, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
child - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule
CHILD_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
childFilteredEval(String, boolean, TreebankLanguagePack, String) - Static method in class edu.stanford.nlp.parser.metrics.FilteredEval: Returns an eval which is good for counting the attachment of specific node types.
childPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of pairs of a relation name and the child IndexedFeatureLabel that bears that relation.
childRelns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of relations which this node has with its children.
children - Variable in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap: Child tries
children - Variable in class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.SimpleTree: Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.Tree: Returns an array of children for the current node.
children - Variable in class edu.stanford.nlp.trees.TreeGraphNode: Children of this node.
children() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Returns an array of the children of this node.
children() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
ChildrenAnnotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.ChildrenAnnotation
childrenNamesSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
childSpi(String) - Method in class edu.stanford.nlp.util.DisabledPreferences
childTab - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
CHINESE - Static variable in class edu.stanford.nlp.swing.FontDetector
CHINESE_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
Chinese_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: Chinese = 3;
CHINESECHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
ChineseCharacterBasedLexicon - Class in edu.stanford.nlp.parser.lexparser
ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
ChineseCharacterBasedLexiconTraining - Class in edu.stanford.nlp.parser.lexparser: Includes a main file which trains a ChineseCharacterBasedLexicon.
ChineseCharacterBasedLexiconTraining() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexiconTraining
ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
ChineseCollinizer - Class in edu.stanford.nlp.trees.international.pennchinese: Performs collinization operations on Chinese trees similar to those for English Namely: strips all functional & automatically-added tags strips all punctuation merges PRN and ADVP eliminates ROOT (note that there are a few non-unary ROOT nodes; these are not eliminated)
ChineseCollinizer(ChineseTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
ChineseCollinizer(ChineseTreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
chineseColonAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseCommaAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseDashAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseDictionary - Class in edu.stanford.nlp.wordseg: This class provides a main method that loads various dictionaries, and saves them in a serialized version, and runtime compiles them into a word list used as a feature in the segmenter.
ChineseDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDictionary(String[]) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDictionary(String, ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary: The first argument can be one file path, or multiple files separated by commas.
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDocument - Class in edu.stanford.nlp.simple: A sentence running with the Chinese models.
ChineseDocument(String) - Constructor for class edu.stanford.nlp.simple.ChineseDocument: Create a new document from the passed in text.
ChineseDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.ChineseDocument: Convert a CoreNLP Annotation object to a Document.
ChineseDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.ChineseDocument: Create a Document object from a read Protocol Buffer.
ChineseDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.ChineseDocument: Create a new chinese document from the passed in text and the given properties.
ChineseDocumentToSentenceProcessor - Class in edu.stanford.nlp.process: Convert a Chinese Document into a List of sentence Strings.
ChineseDocumentToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
ChineseDocumentToSentenceProcessor(String) - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
chineseDouHaoAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseEndSentenceAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseEnglishWordMap - Class in edu.stanford.nlp.trees.international.pennchinese: A class for mapping Chinese words to English.
ChineseEnglishWordMap() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap with a default CEDict path.
ChineseEnglishWordMap(String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
ChineseEscaper - Class in edu.stanford.nlp.trees.international.pennchinese: An Escaper for Chinese normalization to match Treebank.
ChineseEscaper() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
ChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese: ChineseGrammaticalRelations is a set of GrammaticalRelation objects for the Chinese language.
ChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese: A GrammaticalStructure for Chinese.
ChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure: Construct a new GrammaticalStructure from an existing parse tree.
ChineseGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure: Used for postprocessing CoNLL X dependencies
ChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseHcorefDemo - Class in edu.stanford.nlp.coref.hybrid.demo: A simple example of Stanford Chinese coreference resolution.
ChineseHcorefDemo() - Constructor for class edu.stanford.nlp.coref.hybrid.demo.ChineseHcorefDemo
ChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: HeadFinder for the Penn Chinese Treebank.
ChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
ChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
ChineseHeadMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
ChineseHeadMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ChineseHeadMatch
ChineseHeadMatch(Properties) - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ChineseHeadMatch
ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseLexicon - Class in edu.stanford.nlp.parser.lexparser: A lexicon class for Chinese.
ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexicon
ChineseLexiconAndWordSegmenter - Class in edu.stanford.nlp.parser.lexparser: This class lets you train a lexicon and segmenter at the same time.
ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
ChineseLexiconAndWordSegmenter(String, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter: Construct a new ChineseLexiconAndWordSegmenter.
ChineseMarkovWordSegmenter - Class in edu.stanford.nlp.parser.lexparser: Performs word segmentation with a hierarchical markov model over POS and over characters given POS.
ChineseMarkovWordSegmenter(ChineseCharacterBasedLexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
ChineseMarkovWordSegmenter(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
ChineseMaxentLexicon - Class in edu.stanford.nlp.parser.lexparser: A Lexicon class that computes the score of word|tag according to a maxent model of tag|word (divided by MLE estimate of P(tag)).
ChineseMaxentLexicon(Options, Index<String>, Index<String>, int) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMaxentLexicon
ChineseMorphFeatureSets - Class in edu.stanford.nlp.ie: A class for holding Chinese morphological features used for word segmentation and POS tagging.
ChineseMorphFeatureSets(String) - Constructor for class edu.stanford.nlp.ie.ChineseMorphFeatureSets
ChineseNumberSequenceClassifier - Class in edu.stanford.nlp.ie.regexp: A simple rule-based classifier that detects NUMBERs in a sequence of Chinese tokens.
ChineseNumberSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
ChineseNumberSequenceClassifier(boolean) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
ChineseNumberSequenceClassifier(Properties, boolean, Properties) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseQuantifiableEntityNormalizer - Class in edu.stanford.nlp.ie: A Chinese correspondence of the QuantifiableEntityNormalizer that normalizes NUMBER, DATE, TIME, MONEY, PERCENT and ORDINAL amounts expressed in Chinese.
chineseQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseRightParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseRightQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
CHINESESEG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
ChineseSegmenterAnnotator - Class in edu.stanford.nlp.pipeline: This class will add segmentation information to an Annotation.
ChineseSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, boolean, String, String) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
ChineseSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.wordseg: A Chinese segmenter Feature Factory for GALE project.
ChineseSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
chineseSelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
ChineseSemanticHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
ChineseSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
ChineseSemanticHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
ChineseSentence - Class in edu.stanford.nlp.simple: A Sentence, but in Chinese.
ChineseSentence(String) - Constructor for class edu.stanford.nlp.simple.ChineseSentence
ChineseSentence(List<String>) - Constructor for class edu.stanford.nlp.simple.ChineseSentence
ChineseSentence(CoreNLPProtos.Sentence) - Constructor for class edu.stanford.nlp.simple.ChineseSentence
ChineseSimWordAvgDepGrammar - Class in edu.stanford.nlp.parser.lexparser: A Dependency grammar that smoothes by averaging over similar words.
ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
chineseSplitDouHao - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: Split the dou hao (a punctuation mark separating members of a list) from other punctuation.
chineseSplitPunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: split Chinese punctuation several ways, along the lines of English punctuation plus another category for the dou hao.
chineseSplitPunctLR - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese: split left right/paren quote (if chineseSplitPunct is also true.
chineseSplitVP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Chinese VP splitting.
ChineseStringUtils - Class in edu.stanford.nlp.wordseg
ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese: Language pack for the UPenn/Colorado/Brandeis Chinese treebank.
ChineseTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: Parameter file for parsing the Penn Chinese Treebank.
ChineseTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
ChineseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: Stores, trains, and scores with an unknown word model.
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, boolean, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel: This constructor creates an UWM with empty data structures.
ChineseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
ChineseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
ChineseUtils - Class in edu.stanford.nlp.trees.international.pennchinese: This class contains a few String constants and static methods for dealing with Chinese text.
chineseVerySelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
ChineseWordFeatureExtractor - Class in edu.stanford.nlp.parser.lexparser
ChineseWordFeatureExtractor(int) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseWordFeatureExtractor
CHINESEXMLCHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
chiSquare2by2(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath: Find a 2x2 chi-square value.
chomp(String) - Static method in class edu.stanford.nlp.util.StringUtils: Returns the supplied string with any trailing '\n' or '\r\n' removed.
chomp(Object) - Static method in class edu.stanford.nlp.util.StringUtils: Returns the result of calling toString() on the supplied Object, but with any trailing '\n' or '\r\n' removed.
choosedatums(boolean, String, TwoDimensionalCounter<CandidatePhrase, E>, Counter<E>, boolean) - Method in class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt
ChooseDatumsThread(String, Map<String, DataInstance>, Collection<String>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<E>, Counter<Integer>, Map<String, Collection<CandidatePhrase>>, boolean, boolean) - Constructor for class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt.ChooseDatumsThread
chooseTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger: Figures out what tokenizer factory might be described by the config.
chooseTokenizerFactory(boolean, String, String, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
chooseTopWords(Counter<CandidatePhrase>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<CandidatePhrase>, Set<CandidatePhrase>, double) - Method in class edu.stanford.nlp.patterns.ScorePhrases
CHTBTokenizer - Class in edu.stanford.nlp.trees.international.pennchinese: A simple tokenizer for tokenizing Penn Chinese Treebank files.
CHTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer: Constructs a new tokenizer from a Reader.
ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
ChunkAnnotationUtils - Class in edu.stanford.nlp.pipeline: Utility functions for annotating chunks
chunkOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression: Chunk offsets (relative to chunking on top of original text)
CL - Static variable in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
CL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "clause modifier of a preposition" grammatical relation.
classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
ClassComparator() - Constructor for class edu.stanford.nlp.patterns.surface.Token.ClassComparator
ClassicCounter<E> - Class in edu.stanford.nlp.stats: A specialized kind of hash table (or map) for storing numeric counts for objects.
ClassicCounter() - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new (empty) Counter backed by a HashMap.
ClassicCounter(int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
ClassicCounter(MapFactory<E, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(MapFactory<E, MutableDouble>, int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(Counter<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new Counter with the contents of the given Counter.
ClassicCounter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new Counter by counting the elements in the given Collection.
CLASSIFICATION_MODEL - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
classificationModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
classificationScores - Variable in class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
Classifier<L,F> - Interface in edu.stanford.nlp.classify: A simple interface for classifying and scoring data points, implemented by most of the classifiers in this package.
classifier - Variable in class edu.stanford.nlp.coref.statistical.PairwiseModel
classifier - Variable in class edu.stanford.nlp.ie.KBPStatisticalExtractor: The implementing classifier of this extractor.
classifier - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
Classifier - Class in edu.stanford.nlp.parser.nndep: Neural network classifier which powers a transition-based dependency parser.
Classifier(Config, float[][], float[][], float[], float[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier: Instantiate a classifier with previously learned parameters in order to perform new inference.
Classifier(Config, Dataset, float[][], float[][], float[], float[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier: Instantiate a classifier with training data and randomly initialized parameter matrices in order to begin training.
CLASSIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
Classifier.Cost - Class in edu.stanford.nlp.parser.nndep: Describes the result of feedforward + backpropagation through the neural network for the batch provided to a `CostFunction.`
CLASSIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "classifier marker" grammatical relation.
ClassifierCombiner<IN extends CoreMap & HasWord> - Class in edu.stanford.nlp.ie: Merges the outputs of two or more AbstractSequenceClassifiers according to a simple precedence scheme: any given base classifier contributes only classifications of labels that do not exist in the base classifiers specified before, and that do not have any token overlap with labels assigned by higher priority classifiers.
ClassifierCombiner(Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
ClassifierCombiner(Properties, ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner: Loads a series of base classifiers from the paths specified using the Properties specified.
ClassifierCombiner(ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner: Loads a series of base classifiers from the paths specified using the Properties specified.
ClassifierCombiner(String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner: Loads a series of base classifiers from the paths specified.
ClassifierCombiner(AbstractSequenceClassifier<IN>...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner: Combines a series of base classifiers.
ClassifierCombiner(ObjectInputStream, Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
ClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify: Creates a classifier with given weights
ClassifierDemo - Class in edu.stanford.nlp.classify.demo
ClassifierExample - Class in edu.stanford.nlp.classify: Sample code that illustrates the training and use of a linear classifier.
ClassifierFactory<L,F,C extends Classifier<L,F>> - Interface in edu.stanford.nlp.classify: A simple interface for training a Classifier from a Dataset of training examples.
classifierFactory - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.TrainingOptions
classifierType - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
classifierType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
classify(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the tokens in a String.
classify(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify a List of something that extendsCoreMap.
classify(List<IN>) - Method in class edu.stanford.nlp.ie.ClassifierCombiner: Generates the AnswerAnnotation labels of the combined model for the given tokens, storing them in place in the tokens.
classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPEnsembleExtractor
classify(KBPRelationExtractor.KBPInput) - Method in interface edu.stanford.nlp.ie.KBPRelationExtractor: Classify the given sentence into the relation it expresses, with the associated confidence.
classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPSemgrexExtractor
classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPStatisticalExtractor: Score the given input, returning both the classification decision and the probability of that decision.
classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPTokensregexExtractor
classify(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier: Classify a List of CoreLabels.
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
classify(List<IN>) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier: Use a set of heuristic rules to assign NER tags to tokens.
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier: Classify a List of CoreLabels.
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
classify(CoreMap) - Method in class edu.stanford.nlp.sentiment.SimpleSentiment: Get the sentiment of a sentence.
classify(String) - Method in class edu.stanford.nlp.sentiment.SimpleSentiment
classifyAndWriteAnswers(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a text file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswers(String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswers(String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswers(String, OutputStream, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: If the flag outputEncoding is defined, the output is written in that character encoding, otherwise in the system default character encoding.
classifyAndWriteAnswers(String, String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, PrintWriter, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswersKBest(ObjectBank<List<IN>>, int, PrintWriter, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Run the classifier on the documents in an ObjectBank, and print the answers to a given PrintWriter (with timing to stderr).
classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a test file, run the classifier on it, and then write a Viterbi search graph for each sequence.
classifyFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the contents of a file.
classifyFilesAndWriteAnswers(Collection<File>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Run the classifier on a collection of text files.
classifyFilesAndWriteAnswers(Collection<File>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyGibbs(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
classifyGibbs(List<IN>, Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
classifyKBest(List<IN>, Class<? extends CoreAnnotation<String>>, int) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Takes a list of tokens and provides the K best sequence labelings of these tokens with their scores.
classifyMaxEnt(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Do standard sequence inference, using either Viterbi or Beam inference depending on the value of flags.inferenceType.
classifyMentions(List<List<Mention>>, Dictionaries, Properties) - Method in class edu.stanford.nlp.coref.md.MentionDetectionClassifier
classifyRaw(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the tokens in a String.
classifySentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify a List of IN.
classifySentenceWithGlobalInformation(List<? extends HasWord>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify a List of IN using whatever additional information is passed in globalInfo.
classifyStdin() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyStdin(DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyToCharacterOffsets(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the contents of a String to classified character offset spans.
classifyToString(String, String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the contents of a String to one of several String representations that shows the classes.
classifyToString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the contents of a String to a tagged word/class String.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify a List of something that extends CoreMap using as additional information whatever is stored in the document and sentence.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
classifyWithInlineXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the contents of a String.
classIndex - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
classIndex - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
classIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
classIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
classIndex - Variable in class edu.stanford.nlp.ie.UniformPrior
classLine - Static variable in class edu.stanford.nlp.misc.DependencyAnalyzer
className - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
classNames - Variable in class edu.stanford.nlp.sentiment.RNNOptions
classOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
classOf(Datum<String, String>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
classOf(Datum<K, V>) - Method in class edu.stanford.nlp.classify.KNNClassifier: NOTE: currently does not support standard Datums, only RVFDatums.
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier: Deprecated.
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier: Deprecated.
classOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
classOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.MultinomialLogisticClassifier
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.MultinomialLogisticClassifier
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.OneVsAllClassifier
classOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
classOf(Datum<String, String>, ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
classOf(List<IN>, int) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier: Returns the most likely class for the word at the given position.
classORRestrictionsAsString() - Method in class edu.stanford.nlp.patterns.surface.Token
classShorthandToFull - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader: shorthands for CoreAnnotations
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "clausal complement" grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "clausal" grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "clausal complement" (ccomp) grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "clausal complement" grammatical relation.
CLAUSAL_LOCALIZER_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "clausal modifier of noun" relation.
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "clausal passive subject" grammatical relation.
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "clausal passive subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "clausal subject" grammatical relation.
clausalComplementRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
clauseIntermWeight - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.TrainingOptions
clauseRelations - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
clausesInSentence(SemanticGraph, boolean) - Method in class edu.stanford.nlp.naturalli.OpenIE: Find the clauses in a sentence, where the sentence is expressed as a dependency tree.
clausesInSentence(CoreMap) - Method in class edu.stanford.nlp.naturalli.OpenIE: Find the clauses in a sentence.
ClauseSplitter - Interface in edu.stanford.nlp.naturalli: Just a convenience alias for a clause splitting search problem factory.
clauseSplitter - Variable in class edu.stanford.nlp.naturalli.OpenIE: The clause splitter model, if one is to be used.
ClauseSplitter.ClauseClassifierLabel - Enum in edu.stanford.nlp.naturalli
ClauseSplitterSearchProblem - Class in edu.stanford.nlp.naturalli: A search problem for finding clauses in a sentence.
ClauseSplitterSearchProblem(SemanticGraph, boolean, Optional<Classifier<ClauseSplitter.ClauseClassifierLabel, String>>, Optional<Function<Triple<ClauseSplitterSearchProblem.State, ClauseSplitterSearchProblem.Action, ClauseSplitterSearchProblem.State>, Counter<String>>>) - Constructor for class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem: Create a searcher manually, suppling a dependency tree, an optional classifier for when to split clauses, and a featurizer for that classifier.
ClauseSplitterSearchProblem(SemanticGraph, boolean) - Constructor for class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem: Create a clause searcher which searches naively through every possible subtree as a clause.
ClauseSplitterSearchProblem.Action - Interface in edu.stanford.nlp.naturalli: An action being taken; that is, the type of clause splitting going on.
ClauseSplitterSearchProblem.Featurizer - Interface in edu.stanford.nlp.naturalli: Mostly just an alias, but make sure our featurizer is serializable!
ClauseSplitterSearchProblem.State - Class in edu.stanford.nlp.naturalli: A search state.
ClauseSplitterSearchProblem.TrainingOptions - Class in edu.stanford.nlp.naturalli: The options used for training the clause searcher.
clauseSplitWeight - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.TrainingOptions
clean() - Method in class edu.stanford.nlp.maxent.Features
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
cleanGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
cleanTree(SemanticGraph, SemanticGraph) - Static method in class edu.stanford.nlp.naturalli.Util: Fix some bizarre peculiarities with certain trees.
cleanupImage(SceneGraphImage) - Method in class edu.stanford.nlp.scenegraph.SceneGraphImageCleaner
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer: Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpRoot(String) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
cleanXML(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Clean XML input
CleanXmlAnnotator - Class in edu.stanford.nlp.pipeline: An annotator which removes all XML tags (as identified by the tokenizer) and possibly selectively keeps the text between them.
CleanXmlAnnotator() - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
CleanXmlAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
CleanXmlAnnotator(String, String, String, boolean) - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
clear() - Method in class edu.stanford.nlp.classify.GeneralDataset: Resets the Dataset so that it is empty and ready to collect data.
clear(int) - Method in class edu.stanford.nlp.classify.GeneralDataset: Resets the Dataset so that it is empty and ready to collect data.
clear() - Method in class edu.stanford.nlp.classify.RVFDataset: Resets the Dataset so that it is empty and ready to collect data.
clear(int) - Method in class edu.stanford.nlp.classify.RVFDataset: Resets the Dataset so that it is empty and ready to collect data.
clear() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: clears the graph, removes all edges and nodes
clear() - Method in interface edu.stanford.nlp.graph.Graph: clears the graph, removes all edges and nodes
clear() - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
clear() - Method in class edu.stanford.nlp.io.StringOutputStream
clear() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
clear() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable: Clears this table
clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
clear() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
clear() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
clear() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
clear() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
clear() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
clear() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
clear() - Method in class edu.stanford.nlp.pipeline.AnnotatorPool: Clear this pool, and unmount all the annotators mounted on it.
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
clear() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
clear() - Method in class edu.stanford.nlp.stats.ClassicCounter: Removes all entries from the counter.
clear() - Method in interface edu.stanford.nlp.stats.Counter: Removes all entries from the counter.
clear() - Method in class edu.stanford.nlp.stats.IntCounter: Removes all counts from this Counter.
clear() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter: clears the map, total and default value
clear() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
clear() - Method in class edu.stanford.nlp.trees.CompositeTreebank
clear() - Method in class edu.stanford.nlp.trees.DiskTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.FilteringTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.MemoryTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.TransformingTreebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.Treebank: Empty a Treebank.
clear() - Method in class edu.stanford.nlp.util.ArrayHeap: Clears the heap.
clear() - Method in class edu.stanford.nlp.util.ArrayMap
clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Clears the queue.
clear() - Method in class edu.stanford.nlp.util.BoundedPriorityQueue
clear() - Method in class edu.stanford.nlp.util.CollectionValuedMap: Clears this Map.
clear() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
clear() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
clear() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
clear() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap: This is more expensive than normal.
clear() - Method in class edu.stanford.nlp.util.DeltaIndex: We don't want to change the backing index in any way, and "clear" would have to entail doing that, so we just throw an UnsupportedOperationException instead
clear() - Method in class edu.stanford.nlp.util.DeltaMap: This is more expensive than normal.
clear(int, int) - Method in class edu.stanford.nlp.util.EditDistance
clear() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
clear() - Method in class edu.stanford.nlp.util.HashIndex: Clears this Index.
clear() - Method in class edu.stanford.nlp.util.IdentityHashSet: Removes all of the elements from this set.
clear() - Method in interface edu.stanford.nlp.util.Index
clear() - Method in class edu.stanford.nlp.util.Interner
clear(int) - Method in class edu.stanford.nlp.util.Interner
clear() - Method in class edu.stanford.nlp.util.IntervalTree
clear() - Method in class edu.stanford.nlp.util.IntervalTree.TreeNode
clear() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Clear any custom configurations to Redwood
clear() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
clear() - Method in class edu.stanford.nlp.util.OneToOneMap
clear() - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
clear2D(double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
clearAfter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The whitespace/xml after the token
clearAll() - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel: Removes all files from the panel
clearAlternativeDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
clearAltValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional string altValue = 2;
clearAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string animacy = 5;
clearAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string animacy = 5;
clearAnnotatedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
clearAnnotatorPool() - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Call this if you are no longer using StanfordCoreNLP and want to release the memory associated with the annotators.
clearAnswer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: A temporary annotation which is occasionally left in
clearAppositions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
clearArabicSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Arabic character info
clearArg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
clearArgName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
clearAssumedTruth() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: optional bool assumedTruth = 3;
clearAttributionDependencyGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
clearAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string author = 11;
clearAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional string author = 3;
clearAuthorCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional uint32 authorCharBegin = 7;
clearAuthorCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional uint32 authorCharEnd = 8;
clearBasicDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
clearBefore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The whitespace/xml before the token
clearBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 begin = 2;
clearBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder: required uint32 begin = 1;
clearBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder: optional int32 begin = 2;
clearBeginChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The character offset begin, in the document
clearBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional uint32 beginIndex = 6;
clearBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The begin index of, e.g., a span
clearBeginPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional uint32 beginPoint = 6;
clearBelongToLists() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
clearBinarizedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
clearCache() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction: Clears the cache in a way that doesn't require reallocation :-)
clearCache() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction: Clears the cache in a way that doesn't require reallocation :-).
clearCalendar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional uint64 calendar = 8;
clearCanonicalEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional uint32 canonicalEntityMentionIndex = 11;
clearCanonicalMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string canonicalMention = 19;
clearCanonicalMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 canonicalMentionBegin = 20;
clearCanonicalMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 canonicalMentionEnd = 21;
clearCategory() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's 'category' (e.g., parse tree node)
clearChainID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: required int32 chainID = 1;
clearChanged() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder: optional bool changed = 2;
clearChapterIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: quote stuff
clearCharacter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
clearCharacter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
clearCharacterOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 characterOffsetBegin = 5;
clearCharacterOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 characterOffsetEnd = 6;
clearCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: required uint32 charBegin = 1;
clearCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: required uint32 charEnd = 2;
clearChild() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
clearChineseChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Chinese character info
clearChineseSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string chineseSeg = 55;
clearChineseXMLChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string chineseXMLChar = 60;
clearCloseNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder: bool closeNode = 2;
clearCoarseNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's coarse NER tag
clearCoarseTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The coarse POS tag (used to store the UPOS tag)
clearCodepointOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 codepointOffsetBegin = 74;
clearCodepointOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 codepointOffsetEnd = 75;
clearCollapsedCCProcessedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
clearCollapsedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
clearComponent() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
clearConfidence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The [optional] confidence of the extraction
clearConllUFeatures() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
clearConllUMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string conllUMisc = 35;
clearConllUSecondaryDeps() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
clearConllUTokenSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
clearContents() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
clearConversions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
clearCopyAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder: optional uint32 copyAnnotation = 3;
clearCopyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder: optional uint32 copyCount = 4;
clearCorefChain() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
clearCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 corefClusterID = 15;
clearCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The [primary] cluster id for this token
clearCorefID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string corefID = 11;
clearCorefMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
clearCorefMentionToEntityMentionMappings() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
clearData() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder: repeated double data = 2;
clearDatetime() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional string datetime = 5;
clearDep() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional string dep = 3;
clearDependents() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
clearDependingVerb() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
clearDimensionSize() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated int32 dimensionSize = 1;
clearDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: required .edu.stanford.nlp.pipeline.Document doc = 1;
clearDocDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional string docDate = 7;
clearDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional string docID = 4;
clearDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder: optional int32 docID = 3;
clearDocid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string docid = 9;
clearDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: doc id
clearDocument() - Method in class edu.stanford.nlp.ie.NERGUI
clearDocument() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder: required .edu.stanford.nlp.pipeline.Document document = 1;
clearEdge() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
clearEdge() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
clearEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder: optional uint32 emptyIndex = 4;
clearEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 emptyIndex = 80;
clearEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 end = 3;
clearEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder: required uint32 end = 2;
clearEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder: optional int32 end = 3;
clearEndChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The character offset end, in the document
clearEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional uint32 endIndex = 7;
clearEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional uint32 endIndex = 9;
clearEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The begin index of, e.g., a span
clearEndPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional uint32 endPoint = 7;
clearEnhancedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
clearEnhancedPlusPlusDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
clearEnhancedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: the quote annotator can soometimes add merged sentences
clearEntailedClause() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
clearEntailedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
clearEntity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
clearEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional uint32 entityMentionIndex = 10;
clearEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 entityMentionIndex = 65;
clearEntityMentionText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string entityMentionText = 12;
clearEntityMentionToCorefMentionMappings() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
clearEntityType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string entityType = 6;
clearError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
clearExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Document, T>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
clearExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Sentence, T>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
clearExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Token, T>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
clearExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 extentEnd = 3;
clearExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: optional uint32 extentEnd = 3;
clearExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 extentStart = 2;
clearExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: optional uint32 extentStart = 2;
clearF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder: required double f1 = 1;
clearFactor() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
clearFactorTable() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
clearFeaturesTable() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
clearFineGrainedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's fine-grained NER tag
clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string gender = 4;
clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string gender = 4;
clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string gender = 9;
clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Fields set by other annotators in CoreNLP
clearGeneric() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool generic = 25;
clearGold() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
clearGoldCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 goldCorefClusterID = 14;
clearGradientHistories() - Method in class edu.stanford.nlp.parser.nndep.Classifier: Clear all gradient histories used for AdaGrad training.
clearGradientsPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config: During training, clear AdaGrad gradient histories after every clearGradientsPerIter iterations.
clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
clearGraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: when processing multiple dependency graphs at once, which dependency graph this applies to indexed from 0
clearGroup() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
clearHandlers() - Static method in class edu.stanford.nlp.util.logging.Redwood: Remove all log handlers from Redwood, presumably in order to construct a custom pipeline afterwards
clearHasBasicDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasBasicDependency = 27;
clearHasContextParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasContextParseTree = 29;
clearHasCorefAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional bool hasCorefAnnotation = 16;
clearHasCorefMentionAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional bool hasCorefMentionAnnotation = 15;
clearHasCorefMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional bool hasCorefMentionsAnnotation = 57;
clearHasEnhancedDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasEnhancedDependency = 28;
clearHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: used to differentiate between null and empty list
clearHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: check if there are entity mentions
clearHasKBPTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: check if there are KBP triples
clearHasNumerizedTokensAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional bool hasNumerizedTokensAnnotation = 54;
clearHasOpenieTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: check if there are OpenIE triples
clearHasRelationAnnotations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: Fields set by other annotators in CoreNLP
clearHasTwin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasTwin = 24;
clearHasXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
clearHeadEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 headEnd = 7;
clearHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional uint32 headIndex = 9;
clearHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 headIndex = 10;
clearHeadIndexedWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
clearHeadStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 headStart = 6;
clearHeadString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string headString = 11;
clearHeadTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 headTokenIndex = 10;
clearHeadWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
clearHeadWordIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
clearId() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string id = 3;
clearIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder: required uint32 index = 2;
clearIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 index = 10;
clearIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Most serialized annotations will not have this Some code paths may not correctly process this if serialized, since many places will read the index off the position in a sentence In particular, deserializing a Document using ProtobufAnnotationSerializer will clobber any index value But Semgrex and Ssurgeon in particular need a way to pass around nodes where the node's index is not strictly 1, 2, 3, ...
clearIsDirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isDirectObject = 21;
clearIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional bool isExtra = 4;
clearIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: optional bool isExtra = 5;
clearIsFirstMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional bool isFirstMWT = 68;
clearIsIndirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isIndirectObject = 22;
clearIsMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mwt stuff
clearIsNewline() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional bool isNewline = 38;
clearIsPrepositionObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isPrepositionObject = 23;
clearIsSingleton() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isSingleton = 26;
clearIsSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isSubject = 20;
clearIstmod() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: If true, this expresses an implicit tmod relation
clearKbestF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder: optional double kbestF1 = 2;
clearKBestParseTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
clearKbpTriple() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
clearKey() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
clearKey() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
clearKey() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
clearLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder: .edu.stanford.nlp.pipeline.Language language = 2;
clearLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
clearLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string language = 5;
clearLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder: required string lemma = 3;
clearLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's lemma
clearLineNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 lineNumber = 20;
clearListMembers() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
clearMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel: Remove all trees from the display
clearMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: required int32 matchIndex = 1;
clearMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder: required int32 matchIndex = 2;
clearMemory() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
clearMemory() - Method in class edu.stanford.nlp.objectbank.ObjectBank: If you are keeping the contents in memory, this will clear the memory, and they will be recomputed the next time iterator() is called.
clearMemory() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
clearMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
clearMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mention = 12;
clearMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 mentionBegin = 13;
clearMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 mentionEnd = 14;
clearMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional int32 mentionID = 1;
clearMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 mentionID = 1;
clearMentionNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 mentionNum = 16;
clearMentions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
clearMentions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
clearMentions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
clearMentionsForCoref() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
clearMentionsForCoref() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
clearMentionSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mentionSieve = 16;
clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string mentionType = 2;
clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string mentionType = 8;
clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string mentionType = 2;
clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mentionType = 15;
clearMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
clearMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
clearMwtMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: setting this to a map might be nice, but there are a couple issues for one, there can be values with no key for another, it's a pain to correctly parse, since different treebanks can have different standards for how to write out the misc field
clearMwtText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string mwtText = 69;
clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required string name = 1;
clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: required string name = 1;
clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder: required string name = 1;
clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder: required string name = 1;
clearNeighbor() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: repeated int32 neighbor = 2;
clearNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: required string ner = 4;
clearNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's NER tag
clearNerLabelProbs() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
clearNerString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string nerString = 12;
clearNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
clearNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
clearNodes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
clearNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
clearNormalizedName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string normalizedName = 9;
clearNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string normalizedNER = 5;
clearNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's normalized NER tag
clearNotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string notes = 4;
clearNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string number = 3;
clearNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string number = 3;
clearNumericCompositeType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string numericCompositeType = 73;
clearNumericCompositeValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint64 numericCompositeValue = 72;
clearNumericType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string numericType = 71;
clearNumericValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: number info
clearObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The surface form of the object
clearObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: inherited from ExtractionObject
clearObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: inherited from ExtractionObject
clearObjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 objectSpanBegin = 6;
clearObjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 objectSpanEnd = 7;
clearObjectTokens() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
clearOpenieTriple() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
clearOpenNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder: bool openNode = 1;
clearOperation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: repeated string operation = 2;
clearOperations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
clearOperator() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: If this is an operator, which one is it and what is its scope (as per Natural Logic)?
clearOriginalRef() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 originalRef = 13;
clearOriginalSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
clearOriginalText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The original text for this token
clearParagraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 paragraph = 19;
clearParagraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 paragraph = 11;
clearParagraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 paragraphIndex = 67;
clearParent() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: French tokens have parents
clearParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
clearPattern() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: repeated string pattern = 2;
clearPerson() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string person = 6;
clearPolarity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The polarity of this word, according to Natural Logic
clearPolarityDir() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The polarity of this word, either "up", "down", or "flat"
clearPos() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's part of speech tag
clearPosition() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: the second element of position
clearPredicateNominatives() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 predicateNominatives = 55;
clearPredicted() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: repeated so you can send in kbest parses, if your parser handles that note that this already includes a score field
clearPrefixBe() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: If true, this relation string is missing a 'be' prefix
clearPreprocessedTerms() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string preprocessedTerms = 53;
clearProjectAlternation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder: required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
clearProjectCover() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder: required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
clearProjectEquivalence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder: required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
clearProjectForwardEntailment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder: required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
clearProjectIndependence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder: required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
clearProjectNegation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder: required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
clearProjectReverseEntailment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder: required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
clearQuantifierSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 quantifierSpanBegin = 2;
clearQuantifierSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 quantifierSpanEnd = 3;
clearQuery() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
clearQuotationIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The index of the quotation this token refers to
clearQuote() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
clearQuotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
clearRef() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
clearRelation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The surface form of the relation (required)
clearRelation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
clearRelationTokens() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
clearRelativePronouns() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder: The expected value of this is a regex which matches relative pronouns
clearRelativePronouns() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 relativePronouns = 56;
clearReln() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
clearReln() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: optional string reln = 4;
clearReln() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder: required string reln = 2;
clearRepresentative() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: required uint32 representative = 3;
clearResult() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
clearResult() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
clearResult() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
clearRoot() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated uint32 root = 3 [packed = true];
clearRoot() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: optional uint32 root = 2;
clearRootNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: The values in this field will index directly into the node list This is useful so that additional information such as emptyIndex can be considered without having to pass it around a second time
clearScore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder: optional double score = 4;
clearScore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: optional double score = 5;
clearScore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: optional double score = 4;
clearSectionAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: author of section
clearSectionAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string sectionAuthor = 57;
clearSectionDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: date of section
clearSectionDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string sectionDate = 58;
clearSectionEndLabel() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string sectionEndLabel = 59;
clearSectionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: section index for this sentence's section
clearSectionName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: name of section
clearSectionName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Section info
clearSectionQuoted() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: is this sentence in an xml quote in a post
clearSections() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
clearSemgrex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder: repeated string semgrex = 1;
clearSemgrex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string semgrex = 1;
clearSemgrexIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: index of the semgrex expression this match applies to indexed from 0
clearSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
clearSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: required int32 sentence = 1;
clearSentenceBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 sentenceBegin = 5;
clearSentenceEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 sentenceEnd = 6;
clearSentenceID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: Useful when storing sentences (e.g.
clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional uint32 sentenceIndex = 10;
clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder: required uint32 sentenceIndex = 1;
clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional uint32 sentenceIndex = 1;
clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 sentenceIndex = 4;
clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder: optional uint32 sentenceIndex = 1;
clearSentenceIndexes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated uint32 sentenceIndexes = 4;
clearSentencelessToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
clearSentenceNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder: optional int32 sentenceNum = 1;
clearSentenceWords() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
clearSentiment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
clearSentiment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional string sentiment = 33;
clearSentiment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The final sentiment of the sentence
clearSentNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 sentNum = 17;
clearSignature() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: optional string signature = 8;
clearSource() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: required uint32 source = 1;
clearSource() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: required int32 source = 2;
clearSourceCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional uint32 sourceCopy = 5;
clearSourceCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: optional uint32 sourceCopy = 6;
clearSourceEmpty() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional uint32 sourceEmpty = 8;
clearSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The span of a leaf node of a tree
clearSparse() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder: required bool sparse = 1;
clearSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string speaker = 17;
clearSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: speaker stuff
clearSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The speaker speaking this word
clearSpeakerInfo() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
clearSpeakerName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: optional string speakerName = 1;
clearSpeakerSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string speakerSieve = 18;
clearSpeakerType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The type of speaker speaking this sentence
clearSpeakerType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The type of speaker speaking this word
clearSsurgeon() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
clearStartIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional uint32 startIndex = 7;
clearSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The surface form of the subject
clearSubjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 subjectSpanBegin = 4;
clearSubjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 subjectSpanEnd = 5;
clearSubjectTokens() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
clearSubtype() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: Implicit uint32 sentence @see implicit in sentence
clearSubtype() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: Implicit uint32 sentence @see implicit in sentence
clearSuffixBe() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: If true, this relation string is missing a 'be' suffix
clearSuffixOf() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: If true, this relation string is missing a 'of' prefix
clearTarget() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: required uint32 target = 2;
clearTarget() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: required int32 target = 3;
clearTargetCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional uint32 targetCopy = 6;
clearTargetCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: optional uint32 targetCopy = 7;
clearTargetEmpty() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional uint32 targetEmpty = 9;
clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: required string text = 1;
clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string text = 1;
clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: Only needed if we're only saving the sentence.
clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional string text = 3;
clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder: optional string text = 1;
clearTid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional string tid = 5;
clearTimex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional .edu.stanford.nlp.pipeline.Timex timex = 7;
clearTimexValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The time this word refers to
clearToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: optional: if this graph message is not part of a larger context, the tokens will help reconstruct the actual sentence
clearToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
clearToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
clearTokenBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 tokenBegin = 7;
clearTokenBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The begin index of the token
clearTokenEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 tokenEnd = 8;
clearTokenEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The end index of the token
clearTokenEndInSentenceExclusive() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: required uint32 tokenEndInSentenceExclusive = 3;
clearTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder: optional int32 tokenIndex = 2;
clearTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: repeated uint32 tokenIndex = 1;
clearTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder: optional uint32 tokenIndex = 2;
clearTokenOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: required uint32 tokenOffsetBegin = 2;
clearTokenOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: required uint32 tokenOffsetEnd = 3;
clearTokenStartInSentenceInclusive() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: required uint32 tokenStartInSentenceInclusive = 2;
clearTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder: optional .edu.stanford.nlp.pipeline.FlattenedParseTree tree = 2;
clearTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The dependency graph fragment for this triple
clearTreebank() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder: repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
clearTreeF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder: keep track of the individual tree F1 scores
clearTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
clearTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
clearTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
clearTregex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder: required string tregex = 1;
clearTrueCase() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: true case type of token
clearTrueCaseText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: true case gloss of token
clearTsurgeon() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder: repeated string tsurgeon = 2;
clearType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string type = 4;
clearType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: optional string type = 4;
clearType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional string type = 4;
clearUtter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 utter = 18;
clearUtterance() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The utterance tag used in dcoref
clearValue() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string value = 2;
clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder: string value = 3;
clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated string value = 2;
clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string value = 2;
clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: optional string value = 2;
clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional string value = 1;
clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's 'value', (e.g., parse tree node)
clearVariableMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
clearVariables() - Method in class edu.stanford.nlp.ling.tokensregex.Env
clearWikipediaEntity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string wikipediaEntity = 8;
clearWikipediaEntity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string wikipediaEntity = 37;
clearWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder: required string word = 1;
clearWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder: required string word = 1;
clearWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Fields set by the default annotators [new CoreNLP(new Properties())]
clearWords() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
clearWords() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder: repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
clearXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
clearXmlDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: xml information
clearXmlTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
clearXpos() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder: optional string xpos = 2;
clearXpos() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder: optional string xpos = 2;
clearYieldBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: optional uint32 yieldBeginIndex = 3;
clearYieldEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: optional uint32 yieldEndIndex = 4;
Clique - Class in edu.stanford.nlp.sequences: This class is meant to represent a clique in a (directed or undirected) linear-chain graphical model.
cliqueC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCpC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCpCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCpCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCpCp2Cp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCpCp2Cp3Cp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliqueCpCp2Cp3Cp4Cp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
cliquePotentialFunc - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
CliquePotentialFunction - Interface in edu.stanford.nlp.ie.crf
CliqueTemplates - Class in edu.stanford.nlp.ie.pascal: Template information and counters corresponding to sampling on one document.
CliqueTemplates() - Constructor for class edu.stanford.nlp.ie.pascal.CliqueTemplates
CliqueTree - Class in edu.stanford.nlp.loglinear.inference: Created on 8/11/15.
CliqueTree(GraphicalModel, ConcatVector) - Constructor for class edu.stanford.nlp.loglinear.inference.CliqueTree: Create an Inference object for a given set of weights, and a model.
CliqueTree.MarginalResult - Class in edu.stanford.nlp.loglinear.inference: Little data structure for passing around the results of marginal computations.
clone() - Method in class edu.stanford.nlp.fsm.TransducerGraph
clone() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
clone() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
clone() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
clone() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
clone() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
clone() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
clone() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
clone() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRelationship
clone() - Method in class edu.stanford.nlp.stats.IntCounter
clone() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Returns a clone of this priority queue.
clone() - Method in class edu.stanford.nlp.util.IdentityHashSet: Returns a shallow copy of this IdentityHashSet instance: the elements themselves are not cloned.
cloneArray() - Method in class edu.stanford.nlp.loglinear.model.NDArray: Clones the table, but keeps the values by reference.
cloneFactor() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel.Factor: Duplicates this factor.
cloneModel() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel: The point here is to allow us to save a copy of the model with a current set of factors and metadata mappings, which can come in super handy with gameplaying applications.
cloneTable() - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorTable: Clones the table, but keeps the values by reference.
close() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
close() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
close() - Method in class edu.stanford.nlp.io.ReaderInputStream: Closes the Stringreader.
close() - Method in class edu.stanford.nlp.io.TeeStream
close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
close() - Method in class edu.stanford.nlp.pipeline.AnnotationIterator
close() - Method in class edu.stanford.nlp.trees.FilteringTreeReader: Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
close() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishXMLTreeReader
close() - Method in class edu.stanford.nlp.trees.PennTreeReader: Closes the underlying Reader used to create this class.
close() - Method in interface edu.stanford.nlp.trees.TreeReader: Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler: This is a no-op since Redwood doesn't have this.
close() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
close() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
closeConnection() - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
CLOSED_CLASS_THRESHOLD - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
closedRuleIterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRuleIteratorByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRuleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRulesByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closedRulesByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
closeEVALBfiles() - Static method in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
closeFiles() - Method in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
closeIgnoringExceptions(Closeable) - Static method in class edu.stanford.nlp.io.IOUtils: Provides an implementation of closing a file for use in a finally block so you can correctly close a file without even more exception handling stuff.
CLOSENODE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
closeNodeScope(Node, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
closeNodeScope(Node, boolean) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
closeOutputFiles() - Method in class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset.ArabicTreeDecimatedNormalizer
closest(SUTime.Time, SUTime.Time...) - Static method in class edu.stanford.nlp.time.SUTime.Time
ClosestMentionSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.QMSieves: Created by mjfang on 7/7/16.
ClosestMentionSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ClosestMentionSieve
clubNeighboringLabeledWords - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
Cluster(int) - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer.Cluster
Cluster(Clusterer.Cluster) - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer.Cluster
clusterEntityMentions(List<CoreMap>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
Clusterer - Class in edu.stanford.nlp.coref.statistical: System for building up coreference clusters incrementally, merging a pair of clusters each step.
Clusterer() - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer
Clusterer(String) - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer
Clusterer.Cluster - Class in edu.stanford.nlp.coref.statistical
ClustererDataLoader - Class in edu.stanford.nlp.coref.statistical: Loads the data used to train Clusterer.
ClustererDataLoader() - Constructor for class edu.stanford.nlp.coref.statistical.ClustererDataLoader
ClustererDataLoader.ClustererDoc - Class in edu.stanford.nlp.coref.statistical
ClustererDoc(int, Counter<Pair<Integer, Integer>>, Counter<Pair<Integer, Integer>>, Counter<Integer>, Map<Pair<Integer, Integer>, Boolean>, List<List<Integer>>, Map<Integer, String>) - Constructor for class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
clusterID - Variable in class edu.stanford.nlp.coref.data.CorefCluster
clusterID - Variable in class edu.stanford.nlp.dcoref.CorefCluster
CLUSTERING_MODEL_NAME - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
ClusteringCorefAlgorithm - Class in edu.stanford.nlp.coref.statistical: Builds up coreference clusters incrementally with agglomerative clustering.
ClusteringCorefAlgorithm(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.statistical.ClusteringCorefAlgorithm
ClusteringCorefAlgorithm(Properties, Dictionaries, String, String, String, String, String) - Constructor for class edu.stanford.nlp.coref.statistical.ClusteringCorefAlgorithm
clusteringModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
clusteringModelsPath - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
CmdEvaluator - Class in edu.stanford.nlp.optimization: Runs a cmdline to evaluate a dataset (assumes cmd takes input from stdin)
CmdEvaluator() - Constructor for class edu.stanford.nlp.optimization.CmdEvaluator
CMMClassifier<IN extends CoreLabel> - Class in edu.stanford.nlp.ie.ner: Does Sequence Classification using a Conditional Markov Model.
CMMClassifier() - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
CMMClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
CMMClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
CmpToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CNFTransformers - Class in edu.stanford.nlp.parser.lexparser
coarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.Options: Use coarser distance (4 bins) in dependency calculations
coarseDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
coarseDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
CoarseNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseNamedEntityTagAnnotation
COARSENER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
COARSETAG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
CodepointCoreLabelProcessor - Class in edu.stanford.nlp.process: Processor to add codepoint counts to tokens
In general this will be the same as the character offsets, but certain fancy characters such as 𝒚̂𝒊 will change that.
CodepointCoreLabelProcessor() - Constructor for class edu.stanford.nlp.process.CodepointCoreLabelProcessor
CODEPOINTOFFSETBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CodepointOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetBeginAnnotation
CODEPOINTOFFSETEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CodepointOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetEndAnnotation
COLLAPSE_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
collapseApproximate - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Collapse records in a heuristic way to make reading easier.
collapseCompounds(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.SemanticGraphEnhancer
COLLAPSED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure: Deprecated.
COLLAPSEDCCPROCESSEDDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CollapsedCCProcessedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation: Deprecated.
COLLAPSEDDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CollapsedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation: Deprecated.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Destructively modifies this Collection<TypedDependency> by collapsing several types of transitive pairs of dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively modify the Collection<TypedDependency> to collapse language-dependent transitive dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure: Destructively modifies this Collection<TypedDependency> by collapsing several types of transitive pairs of dependencies or by adding additional information from the dependents to the relation of the governor.
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively modify the Collection<TypedDependency> to collapse language-dependent transitive dependencies but keeping a tree structure.
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
collapseExact - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Collapse records which are duplicates into a single message, followed by a message detailing how many times it was repeated.
collapseNERLabels(List<CoreLabel>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer: Currently this populates a List<CoreLabel> with words from the passed List, but NER entities are collapsed and CoreLabel constituents of entities have NER information in their "quantity" fields.
collapseParticles(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.SemanticGraphEnhancer: Collapses verbs with verbal particles.
collapseRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras: collapse the "ref" edges
collapseReferent(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
CollapseSubtree - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon: Collapses a subtree into a single node.
CollapseSubtree(String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CollapseSubtree
CollapseUnaryTransformer - Class in edu.stanford.nlp.sentiment: This transformer collapses chains of unary nodes so that the top node is the only node left.
CollapseUnaryTransformer() - Constructor for class edu.stanford.nlp.sentiment.CollapseUnaryTransformer
collapseWhCategories - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Collapse WHPP with PP, etc., in training and perhaps in evaluation.
collectionAcceptFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters: The collectionAcceptFilter accepts a certain collection.
collectionAcceptFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters: The collectionAcceptFilter accepts a certain collection.
CollectionFactory<T> - Class in edu.stanford.nlp.util: Factory for vending Collections.
CollectionFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory
CollectionFactory.ArrayListFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
collectionRejectFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters: The collectionRejectFilter rejects a certain collection.
collectionRejectFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters: The collectionRejectFilter rejects a certain collection.
CollectionUtils - Class in edu.stanford.nlp.util: Collection of useful static methods for working with Collections.
CollectionValuedMap<K,V> - Class in edu.stanford.nlp.util: Map from keys to Collections.
CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new empty CollectionValuedMap.
CollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new CollectionValuedMap with all of the mappings from cvm.
CollectionValuedMap() - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map, and HashSets as the Collections in each mapping.
CollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap: Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map.
collectionValuedTrieMap() - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapUtils
collectionValuedTrieMap(CollectionFactory<V>) - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapUtils
collectOperations(List<TsurgeonPattern>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon: Collects a list of operation patterns into a sequence of operations to be applied.
collectSamples(SequenceModel, int, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler: Collects numSamples samples of sequences, from the distribution over sequences defined by the sequence model passed on construction.
collectSamples(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler: Collects numSamples samples of sequences, from the distribution over sequences defined by the sequence model passed on construction.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: the tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: The collinizer eliminates punctuation
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Returns a ChineseCollinizer
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: The tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: returns a NegraPennCollinizer
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
collinizer() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: The tree transformer applied to trees prior to evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: the tree transformer used to produce trees for evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Returns a ChineseCollinizer that doesn't delete punctuation
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams: Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: returns a NegraPennCollinizer
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
collinizerEvalb() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: the tree transformer used to produce trees for evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
CollinsDependency - Class in edu.stanford.nlp.trees: Extracts bilexical dependencies from Penn Treebank-style phrase structure trees as described in (Collins, 1999) and the later Comp.
CollinsDependency(CoreLabel, CoreLabel, CollinsRelation) - Constructor for class edu.stanford.nlp.trees.CollinsDependency: Modifier must have IndexAnnotation.
CollinsDepEval - Class in edu.stanford.nlp.parser.metrics: Compute P/R/F1 for the dependency representation of Collins (1999; 2003).
CollinsDepEval(String, boolean, HeadFinder, String) - Constructor for class edu.stanford.nlp.parser.metrics.CollinsDepEval
CollinsHeadFinder - Class in edu.stanford.nlp.trees: Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
CollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder: This constructor provides the traditional behavior, where there is no special avoidance of punctuation categories.
CollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
collinsPunc - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Promote/delete punctuation like Collins.
CollinsPuncTransformer - Class in edu.stanford.nlp.parser.lexparser: This class manipulates punctuation in trees (used with training trees) in the same manner that Collins manipulated punctuation in trees when building his parsing model.
CollinsPuncTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
CollinsRelation - Class in edu.stanford.nlp.trees: A relation 4-tuple for the dependency representation of Collins (1999; 2003).
CollinsRelation(String, String, String, CollinsRelation.Direction) - Constructor for class edu.stanford.nlp.trees.CollinsRelation
CollinsRelation.Direction - Enum in edu.stanford.nlp.trees
CollocationFinder - Class in edu.stanford.nlp.trees: Finds WordNet collocations in parse trees.
CollocationFinder(Tree, WordNetConnection) - Constructor for class edu.stanford.nlp.trees.CollocationFinder: Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder) - Constructor for class edu.stanford.nlp.trees.CollocationFinder: Construct a new CollocationFinder over the Tree t.
Color - Enum in edu.stanford.nlp.util.logging: ANSI supported colors.
colorChannel(String, Color) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Color the tag for a particular channel this color
colorToHTML(Color) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
colorToHTML(Color) - Static method in class edu.stanford.nlp.ie.NERGUI
columnCount - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader
columnData(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Annotate with the column data classifier.
ColumnDataClassifier - Class in edu.stanford.nlp.classify: ColumnDataClassifier provides a command-line interface for doing context-free (independent) classification of a series of data items, where each data item is represented by a line of a file, as a list of String variables, in tab-separated columns.
ColumnDataClassifier(String) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier: Construct a ColumnDataClassifier.
ColumnDataClassifier(Properties) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier: Construct a ColumnDataClassifier.
ColumnDataClassifier(Pair<ColumnDataClassifier.Flags[], Classifier<String, String>>) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier: Construct a ColumnDataClassifier.
ColumnDataClassifierAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
ColumnDataClassifierAnnotator - Class in edu.stanford.nlp.pipeline: This annotator takes a properties file that was used to train a ColumnDataClassifier and creates an annotator that classifies the text by loading the classifier and running it.
ColumnDataClassifierAnnotator(String) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
ColumnDataClassifierAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
ColumnDataClassifierAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
ColumnDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences: DocumentReader for column format.
ColumnDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
columnNamesArray() - Static method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.HistoryEntry
columnStringToObject(Class, String, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Converts a tab delimited string into an object with given fields Requires the object has setXxx functions for the specified fields
columnStringToObject(Class<?>, String, Pattern, String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Converts a tab delimited string into an object with given fields Requires the object has public access for the specified fields
ColumnTabDocumentReaderWriter<IN extends CoreMap> - Class in edu.stanford.nlp.sequences: Version of ColumnDocumentReaderAndWriter that doesn't read in entire file and stores it in memory before parsing it.
ColumnTabDocumentReaderWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
CombinationFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce: Combines multiple feature factories into one feature factory
CombinationFeatureFactory(FeatureFactory[]) - Constructor for class edu.stanford.nlp.parser.shiftreduce.CombinationFeatureFactory
combinationMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
combinatorialNeighborStatesCount() - Method in class edu.stanford.nlp.loglinear.model.NDArray
combinatorialNeighborStatesCount() - Method in class edu.stanford.nlp.loglinear.model.NDArrayDoubles
combine(CRFClassifier<IN>, double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Combines weighted crf with this crf.
combine(Edge, Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
combine(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
combine(double, double) - Method in class edu.stanford.nlp.util.EditDistance
combine2DArr(double[][], double[][], double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
combine2DArr(double[][], double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
combine2DArr(double[][], Map<Integer, double[]>) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
combine2DArr(double[][], Map<Integer, double[]>, double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
combineAndScaleLopWeights(int, double[][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
combineAndScaleLopWeights2D(int, double[][][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
combineClassification - Variable in class edu.stanford.nlp.sentiment.RNNOptions: If this option is true, then the binary and unary classification matrices are combined.
CombinedDVModelReranker - Class in edu.stanford.nlp.parser.dvparser
CombinedDVModelReranker(Options, List<DVModel>) - Constructor for class edu.stanford.nlp.parser.dvparser.CombinedDVModelReranker
CombinedDVModelReranker.Query - Class in edu.stanford.nlp.parser.dvparser
CombinedEvaluator(double) - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils.CombinedEvaluator
CombineDVModels - Class in edu.stanford.nlp.parser.dvparser: This class combines multiple DVParsers into one by adding their scores.
CombineDVModels() - Constructor for class edu.stanford.nlp.parser.dvparser.CombineDVModels
combineMoreGeneralFields(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
combineMoreGeneralFields(Partial, Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
CombineMWT - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon: Combines two or more words into one MWT
For the most part, the nodes themselves are unchanged, but the nodes now have the CoreAnnotations representing MWTness added
This is a convenience operation which exists because the basic version of it using EditNode is a bit of a pain
CombineMWT(List<String>, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CombineMWT
combineMWTs(SemanticGraph) - Method in class edu.stanford.nlp.trees.ud.EnglishMWTCombiner
combineObjectRoles(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
combineSegmentedSentence(List<CoreLabel>, SeqClassifierFlags) - Static method in class edu.stanford.nlp.wordseg.ChineseStringUtils
combo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
COMMA - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
CommandLineTokenizer - Class in edu.stanford.nlp.util: A utility class to parse a command line contained in a single String into an array of argument tokens, much as the JVM (or more accurately, your operating system) does before calling your programs' public static void main(String[] args) methods.
COMMENT_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader: patterns to match in CoNLL-U file
COMMENTS - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
commonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Return the maximum distance to a least common ancestor.
commonSpeechWords - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
commonWordsPatternFiles - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Words to be ignored when learning phrases if removePhrasesWithStopWords or removeStopWordsFromSelectedPhrases is true.
commonWordTagTypeBrackets(Tree, Tree) - Static method in class edu.stanford.nlp.trees.TreeToBracketProcessor
communicateWithNERServer(String, int, String) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
communicateWithNERServer(String, int, String, BufferedReader, BufferedWriter, boolean) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
compact() - Method in class edu.stanford.nlp.util.ArrayCoreMap: Reduces memory consumption to the minimum for representing the values currently stored stored in this object.
compactFA(TransducerGraph) - Method in interface edu.stanford.nlp.fsm.AutomatonCompactor
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Map<String, List<List<String>>>, Map<String, List<List<String>>>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor: Compacts the grammar specified by the Pair.
compactGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: How to compact grammars as FSMs.
compactGrammar() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
ComparableComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
Comparators - Class in edu.stanford.nlp.util
compare(CorefChain.CorefMention, CorefChain.CorefMention) - Method in class edu.stanford.nlp.coref.data.CorefChain.CorefMentionComparator
compare(Mention, Mention) - Method in class edu.stanford.nlp.coref.data.CorefChain.MentionComparator
compare(CorefChain.CorefMention, CorefChain.CorefMention) - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMentionComparator
compare(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.CorefChain.MentionComparator
compare(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.LongestStringComparator
compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
compare(Number, Number) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericComparator
compare(Class, Class) - Method in class edu.stanford.nlp.patterns.surface.Token.ClassComparator
compare(Tree, Tree) - Method in class edu.stanford.nlp.trees.TreeLengthComparator: Compare the two objects.
compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUFeatures.FeatureNameComparator
compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUFeatures.LowercaseComparator
compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
compare(V1, V2) - Method in interface edu.stanford.nlp.util.Iterables.IncrementComparator: Returns -1 if the value of a should come before the value of b, +1 if the value of b should come before the value of a, or 0 if the two should be merged together.
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
compare(Scored, Scored) - Method in class edu.stanford.nlp.util.ScoredComparator
compareAndSet(double, double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble: Atomically sets the value to the given updated value if the current value is bitwise equal to the expected value.
compareArrays(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Provides a consistent ordering over arrays.
compareBooleanArrays(boolean[], boolean[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
CompareFunction(String, Comparator<T>, ValueFunctions.CompareType, Class) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
compareIntervalOrder(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Returns order of another interval compared to this one
compareLists(List<T>, List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Provides a consistent ordering over lists.
compareTo(RelationTriple) - Method in class edu.stanford.nlp.ie.util.RelationTriple
compareTo(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord: NOTE: For this compareTo, you must have a DocIDAnnotation, SentenceIndexAnnotation, and IndexAnnotation for it to make sense and be guaranteed to work properly.
compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel: Orders by value()'s lexicographic ordering.
compareTo(WordLemmaTag) - Method in class edu.stanford.nlp.ling.WordLemmaTag: Orders first by word, then by lemma, then by tag.
compareTo(WordTag) - Method in class edu.stanford.nlp.ling.WordTag: Orders first by word, then by tag.
compareTo(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
compareTo(HTKLatticeReader.LatticeWord) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
compareTo(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
compareTo(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
compareTo(Object) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
compareTo(Object) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables.ScorePhraseMeasures
compareTo(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
compareTo(SceneGraphNode) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
compareTo(SceneGraphRelation) - Method in class edu.stanford.nlp.scenegraph.SceneGraphRelation
compareTo(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge: Compares SemanticGraphEdges.
compareTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
compareTo(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
compareTo(TypedDependency) - Method in class edu.stanford.nlp.trees.TypedDependency
compareTo(IntTuple) - Method in class edu.stanford.nlp.util.IntTuple
compareTo(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble: Compares two MutableDouble objects numerically.
compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger: Compares two MutableInteger objects numerically.
compareTo(MutableLong) - Method in class edu.stanford.nlp.util.MutableLong: Compares two MutableLong objects numerically.
compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair: Compares this Pair to another object.
compareTo(Quadruple<T1, T2, T3, T4>) - Method in class edu.stanford.nlp.util.Quadruple
compareTo(Quintuple<T1, T2, T3, T4, T5>) - Method in class edu.stanford.nlp.util.Quintuple
compareTo(Triple<T1, T2, T3>) - Method in class edu.stanford.nlp.util.Triple
compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.UnorderedPair
compatibleWith(Language) - Method in enum edu.stanford.nlp.international.Language: Returns whether these two languages can be considered compatible with each other.
compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
compile(String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Compiles a regular expression over tokens into a TokenSequencePattern using the default environment.
compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Compiles a regular expression over tokens into a TokenSequencePattern using the specified environment.
compile(String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Compiles a sequence of regular expressions into a TokenSequencePattern using the default environment.
compile(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Compiles a sequence of regular expressions into a TokenSequencePattern using the specified environment.
compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Compiles a PatternExpr into a TokenSequencePattern.
compile(String, Env) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern: Creates a pattern from the given string.
compile(String) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
compile(String) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern: Creates a pattern from the given string using the default HeadFinder and BasicCategoryFunction.
compile(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler: Create a TregexPattern from this tregex string using the headFinder and basicCat function this TregexPatternCompiler was created with.
compileAnnotations(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams: Compile the TregexPoweredTreebankParserParams.annotations collection given a particular head finder.
compileStream(InputStream) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexBatchParser
compileStream(InputStream, Env) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexBatchParser
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "complement" grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "comp" grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "complement" (comp) grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "complement" grammatical relation.
COMPLEMENTIZER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "cp marker" grammatical relation.
ComplexNodePattern<M,K> - Class in edu.stanford.nlp.ling.tokensregex: Pattern for matching a complex data structure
ComplexNodePattern(BiFunction<M, K, Object>, List<Pair<K, NodePattern>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
ComplexNodePattern(BiFunction<M, K, Object>, Pair<K, NodePattern>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
ComplexNodePattern(BiFunction<M, K, Object>, K, NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
ComplexNodePattern.AbstractStringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.AttributesEqualMatchChecker<K> - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.IntegerAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NotNilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NumericAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.SequenceRegexPattern<T> - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringAnnotationRegexPattern - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringInSetAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
COMPONENT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
compose(Function<T1, T2>, Function<? super T2, T3>) - Static method in class edu.stanford.nlp.util.Functions: Returns the Function g o f.
compose(Map<X, Y>, Map<Y, Z>) - Static method in class edu.stanford.nlp.util.Maps: Compose two maps map1:x->y and map2:y->z to get a map x->z
COMPOSITE_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
COMPOSITE_KEYS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
COMPOSITE_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
COMPOSITE_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
CompositeExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
CompositeFieldValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CompositePartialTime(SUTime.PartialTime, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
CompositePartialTime(SUTime.PartialTime, Partial, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
CompositeTreebank - Class in edu.stanford.nlp.trees
CompositeTreebank(Treebank, Treebank) - Constructor for class edu.stanford.nlp.trees.CompositeTreebank
CompositeTreeTransformer - Class in edu.stanford.nlp.trees: A TreeTransformer that applies component TreeTransformers in order.
CompositeTreeTransformer() - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
CompositeTreeTransformer(List<TreeTransformer>) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
CompositeTreeTransformer(TreeTransformer...) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
CompositeValue(String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
CompositeValue(Map<String, Expression>, boolean, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "compound" grammatical relation (abstract).
COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "compound modifier" grammatical relation.
CompoundLemmaAnnotation() - Constructor for class edu.stanford.nlp.scenegraph.SceneGraphCoreAnnotations.CompoundLemmaAnnotation
compoundUnaries - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
CompoundUnaryTransition - Class in edu.stanford.nlp.parser.shiftreduce: Transition that makes a compound unary parse node in a partially finished tree.
CompoundUnaryTransition(List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
CompoundWordAnnotation() - Constructor for class edu.stanford.nlp.scenegraph.SceneGraphCoreAnnotations.CompoundWordAnnotation
compress(Counter<K>) - Method in class edu.stanford.nlp.coref.statistical.Compressor
CompressedFeatureVector - Class in edu.stanford.nlp.coref.statistical: A low-memory representation of a Counter created by a Compressor.
CompressedFeatureVector(List<Integer>, List<Double>) - Constructor for class edu.stanford.nlp.coref.statistical.CompressedFeatureVector
Compressor<K> - Class in edu.stanford.nlp.coref.statistical: Converts a Counter<K> to a CompressedFeatureVector (i.e., parallel lists of integer keys and double values), which takes up much less memory.
Compressor() - Constructor for class edu.stanford.nlp.coref.statistical.Compressor
compressorFile - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
compute(double[], double[]) - Method in class edu.stanford.nlp.classify.LogPrior: Adjust the given grad array by adding the prior's gradient component and return the value of the logPrior
compute(Boolean...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
compute(Number...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
compute(String...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
compute() - Method in class edu.stanford.nlp.util.Lazy: Compute the value of this lazy.
computeAccuracy(Stream<Pair<KBPRelationExtractor.KBPInput, String>>, Optional<PrintStream>) - Method in interface edu.stanford.nlp.ie.KBPRelationExtractor
computeAllPatterns - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: If all patterns should be computed.
computeAverage(ToDoubleFunction<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>>) - Method in class edu.stanford.nlp.classify.CrossValidator: This computes the average over all folds of the function we're trying to optimize.
computeCliquePotential(int, int, int[], double[], int) - Method in interface edu.stanford.nlp.ie.crf.CliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.LinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NoisyLabelLinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearSecondOrderCliquePotentialFunction
computeCostFunction(int, double, double) - Method in class edu.stanford.nlp.parser.nndep.Classifier: Determine the total cost on the dataset associated with this classifier using the current learned parameters.
computeFeatSimilarity - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
computeFinalValues() - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
computeInputPrior(Map<String, List<List<String>>>) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
computeLambda(TransducerGraph) - Static method in class edu.stanford.nlp.fsm.QuasiDeterminizer: Takes time linear in number of arcs.
computeProb(PascalTemplate) - Method in interface edu.stanford.nlp.ie.pascal.RelationalModel
computeRawFreqIfNull(int, boolean) - Static method in class edu.stanford.nlp.patterns.Data
computeRawFreqIfNull(Map<String, DataInstance>, int) - Static method in class edu.stanford.nlp.patterns.Data
computeStochastic(double[], double[], double) - Method in class edu.stanford.nlp.classify.LogPrior
CONCAT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
CONCAT_COREMAP - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
CONCAT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
CONCAT_TEXT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
CONCAT_TOKENS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
ConcatAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
ConcatCoreMapListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
ConcatCoreMapListAggregator(boolean) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
concatenate(SimpleMatrix...) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Concatenates several column vectors into one large column vector
concatenate(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Concatenates two arrays and returns the result
concatenateTypes(String, String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject: Concatenates two types
concatenateWithBias(SimpleMatrix...) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Concatenates several column vectors into one large column vector, adds a 1.0 at the end as a bias term
ConcatenationIterator<T> - Class in edu.stanford.nlp.util: Iterator that represents the concatenation of two other iterators.
ConcatenationIterator(Iterator<T>, Iterator<T>) - Constructor for class edu.stanford.nlp.util.ConcatenationIterator
concatIterators(Iterator<E>...) - Static method in class edu.stanford.nlp.util.CollectionUtils: Concatenate a number of iterators together, to form one big iterator.
ConcatListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
ConcatTextAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatTextAggregator
ConcatVector - Class in edu.stanford.nlp.loglinear.model: Created on 12/7/14.
ConcatVector(int) - Constructor for class edu.stanford.nlp.loglinear.model.ConcatVector: Constructor that initializes space for this concat vector.
ConcatVectorBenchmark - Class in edu.stanford.nlp.loglinear.benchmarks
ConcatVectorBenchmark() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark
ConcatVectorBenchmark.ConcatVectorConstructionRecord - Class in edu.stanford.nlp.loglinear.benchmarks
ConcatVectorConstructionRecord(Random) - Constructor for class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark.ConcatVectorConstructionRecord
ConcatVectorConstructionRecord(Random, int[]) - Constructor for class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark.ConcatVectorConstructionRecord
ConcatVectorNamespace - Class in edu.stanford.nlp.loglinear.model: Created on 10/20/15.
ConcatVectorNamespace() - Constructor for class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace
ConcatVectorProto - Class in edu.stanford.nlp.loglinear.model.proto
ConcatVectorProto.ConcatVector - Class in edu.stanford.nlp.loglinear.model.proto: Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector
ConcatVectorProto.ConcatVector.Builder - Class in edu.stanford.nlp.loglinear.model.proto: Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector
ConcatVectorProto.ConcatVector.Component - Class in edu.stanford.nlp.loglinear.model.proto: Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component
ConcatVectorProto.ConcatVector.Component.Builder - Class in edu.stanford.nlp.loglinear.model.proto: Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component
ConcatVectorProto.ConcatVector.ComponentOrBuilder - Interface in edu.stanford.nlp.loglinear.model.proto
ConcatVectorProto.ConcatVectorOrBuilder - Interface in edu.stanford.nlp.loglinear.model.proto
ConcatVectorTable - Class in edu.stanford.nlp.loglinear.model: Created on 8/9/15.
ConcatVectorTable(int[]) - Constructor for class edu.stanford.nlp.loglinear.model.ConcatVectorTable: Constructor takes a list of neighbor variables to use for this factor.
ConcatVectorTableProto - Class in edu.stanford.nlp.loglinear.model.proto
ConcatVectorTableProto.ConcatVectorTable - Class in edu.stanford.nlp.loglinear.model.proto: Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable
ConcatVectorTableProto.ConcatVectorTable.Builder - Class in edu.stanford.nlp.loglinear.model.proto: Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable
ConcatVectorTableProto.ConcatVectorTableOrBuilder - Interface in edu.stanford.nlp.loglinear.model.proto
CONCURRENT_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
ConcurrentHashCounter<E> - Class in edu.stanford.nlp.util.concurrent: A threadsafe counter implemented as a lightweight wrapper around a ConcurrentHashMap.
ConcurrentHashCounter() - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
ConcurrentHashCounter(int) - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
ConcurrentHashIndex<E> - Class in edu.stanford.nlp.util.concurrent: A fast threadsafe index that supports constant-time lookup in both directions.
ConcurrentHashIndex() - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex: Constructor.
ConcurrentHashIndex(int) - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex: Constructor.
CONDENSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
CondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CondGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
ConditionalExpression(Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
ConditionalExpression(String, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
conditionalize(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: returns a GeneralizedCounter conditioned on the objects in the List argument.
conditionalizeOnce(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns a GeneralizedCounter conditioned on the given top level object.
conditionalLogProb(int[], int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
conditionalLogProbGivenFirst(int, int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable: Computes the probability of the sequence OF being at the end of the table given that the first tag in table is GIVEN.
conditionalLogProbGivenNext(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable: Computes the probability of the tag OF being at the beginning of the table given that the tag sequence GIVEN is at the end of the table.
conditionalLogProbGivenPrevious(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable: Computes the probability of the tag OF being at the end of the table given that the previous tag sequence in table is GIVEN.
conditionalLogProbsGivenPrevious(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable: Computes the probabilities of the tag at the end of the table given that the previous tag sequence in table is GIVEN.
conditionalSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
condLogProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condLogProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condLogProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree: Gives the probability of a tag at a single position conditioned on a sequence of previous labels.
condLogProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condLogProbsGivenNext(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condLogProbsGivenNext(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condLogProbsGivenPrevious(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condLogProbsGivenPrevious(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
condProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
confidence - Variable in class edu.stanford.nlp.ie.util.RelationTriple: An optional score (confidence) for this triple
CONFIDENCE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
confidenceGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple: A textual representation of the confidence.
confidenceWeightedAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
Config - Class in edu.stanford.nlp.parser.nndep: Defines configuration settings for training and testing the neural-network dependency parser.
Config(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.Config
ConfigParser - Class in edu.stanford.nlp.trees.treebank
ConfigParser(String) - Constructor for class edu.stanford.nlp.trees.treebank.ConfigParser
Configuration - Class in edu.stanford.nlp.parser.nndep: Describe the current configuration of a parser (i.e., parser state).
Configuration(Configuration) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
Configuration(CoreMap) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
configuredOptions - Variable in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
configuredOptions - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
confusion - Variable in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
confusionMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
ConfusionMatrix<U> - Class in edu.stanford.nlp.util: This implements a confusion table over arbitrary types of class labels.
ConfusionMatrix() - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
ConfusionMatrix(Locale) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
ConfusionMatrix.Contingency - Class in edu.stanford.nlp.util: Contingency table, listing precision ,recall, specificity, and f1 given the number of true and false positives, true and false negatives.
ConfusionMatrixTSV - Class in edu.stanford.nlp.international.spanish.scripts
ConfusionMatrixTSV() - Constructor for class edu.stanford.nlp.international.spanish.scripts.ConfusionMatrixTSV
ConjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
ConjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
ConjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
conjugateEnglish(String, boolean) - Method in enum edu.stanford.nlp.naturalli.VerbTense: Apply this tense to the given verb.
conjugateEnglish(String) - Method in enum edu.stanford.nlp.naturalli.VerbTense
conjugateEnglish(CoreLabel, boolean) - Method in enum edu.stanford.nlp.naturalli.VerbTense
conjugateEnglish(CoreLabel) - Method in enum edu.stanford.nlp.naturalli.VerbTense
ConjugatePrior<T extends ProbabilityDistribution<E>,E> - Interface in edu.stanford.nlp.stats: An interface for classes which are probability distributions over other probability distributions.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "conjunct" grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "conjunct" grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "conjunct" (conj) grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CONJUNCT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "conjunct" grammatical relation.
conjunctionFileFilter(FileFilter, FileFilter) - Static method in class edu.stanford.nlp.io.FileFilters
conll(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties: When conll() is true, the neural and statistical (but not fastneural) coref models: Use provided POS, NER, Parsing, etc.
CONLL2011_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
CoNLL2011DocumentReader - Class in edu.stanford.nlp.dcoref: Read _conll file format from CoNLL2011.
CoNLL2011DocumentReader(String) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
CoNLL2011DocumentReader(String, CoNLL2011DocumentReader.Options) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
CoNLL2011DocumentReader.CorefMentionAnnotation - Class in edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.CorpusStats - Class in edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.Document - Class in edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.NamedEntityAnnotation - Class in edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.Options - Class in edu.stanford.nlp.dcoref: Flags
CONLL_OUTPUT_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
CONLL_SCORER - Static variable in class edu.stanford.nlp.dcoref.Constants
CoNLLBenchmark - Class in edu.stanford.nlp.loglinear.benchmarks: Created on 8/26/15.
CoNLLBenchmark() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark
CoNLLBenchmark.CoNLLSentence - Class in edu.stanford.nlp.loglinear.benchmarks
CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
conllDoc - Variable in class edu.stanford.nlp.coref.data.Document: for conll shared task 2011
conllDoc - Variable in class edu.stanford.nlp.coref.data.InputDoc: optional for CoNLL document
conllDoc - Variable in class edu.stanford.nlp.dcoref.Document: for conll shared task 2011
CoNLLDocument() - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
CoNLLDocumentReader - Class in edu.stanford.nlp.coref.docreader: Read _conll file format from CoNLL2011.
CoNLLDocumentReader(String) - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
CoNLLDocumentReader(String, CoNLLDocumentReader.Options) - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
CoNLLDocumentReader.CoNLLDocument - Class in edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.CorefMentionAnnotation - Class in edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.CorpusStats - Class in edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.NamedEntityAnnotation - Class in edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.Options - Class in edu.stanford.nlp.coref.docreader: Flags
CoNLLDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences: DocumentReader for the original CoNLL 03 format.
CoNLLDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
CoNLLFeaturizer - Class in edu.stanford.nlp.loglinear.benchmarks: Created on 10/23/15.
CoNLLFeaturizer() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.CoNLLFeaturizer
conllMentionEvalScript - Static variable in class edu.stanford.nlp.dcoref.Constants: Default path for conll scorer script
conllMentionEvalScript - Variable in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem: Path for the official CoNLL scorer
CoNLLMentionExtractor - Class in edu.stanford.nlp.dcoref: Extracts coref mentions from CoNLL2011 data files.
CoNLLMentionExtractor(Dictionaries, Properties, Semantics) - Constructor for class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
CoNLLMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) - Constructor for class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
conllOutputPath(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
CoNLLOutputter - Class in edu.stanford.nlp.pipeline: Write a subset of our CoreNLP output in CoNLL format.
CoNLLOutputter() - Constructor for class edu.stanford.nlp.pipeline.CoNLLOutputter
CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
conllPrint(Annotation, OutputStream) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
conllPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
conllPrint(Annotation, OutputStream, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
conllPrint(Annotation, Writer) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Displays the output of many annotators in CoNLL format.
CoNLLSentence(List<String>, List<String>, List<String>, List<String>) - Constructor for class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark.CoNLLSentence
CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
CoNLLU_GovField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLU_IndexField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader: field constants
CoNLLU_LemmaField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLU_MiscField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLU_RelnField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLU_UPOSField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLU_WordField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLU_XPOSField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLUDocument() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
CoNLLUDocumentReader - Class in edu.stanford.nlp.trees.ud: Reader for ConLL-U formatted dependency treebanks.
CoNLLUDocumentReader() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
CoNLLUDocumentReader(Language) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
CoNLLUDocumentWriter - Class in edu.stanford.nlp.trees.ud
CoNLLUDocumentWriter() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentWriter
CoNLLUFeats() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUFeats
CoNLLUFeatures - Class in edu.stanford.nlp.trees.ud: A subclass of TreeMap with a toString() that looks like a CoNLLUFeatures and a method for extracting the features from a CoNLLU string
This is a TreeMap so that the features are sorted by their key, which is necessary for the CoNLLU format
CoNLLUFeatures(String) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUFeatures: Parses the value of the feature column in a CoNLL-U file and returns them in a HashMap with the feature names as keys and the feature values as values.
CoNLLUFeatures(Map<String, String>) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUFeatures
CoNLLUFeatures() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUFeatures
CoNLLUFeatures.FeatureNameComparator - Class in edu.stanford.nlp.trees.ud
CoNLLUFeatures.LowercaseComparator - Class in edu.stanford.nlp.trees.ud
CONLLUFEATURES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CoNLLUMisc() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUMisc
CONLLUMISC_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CoNLLUOutputter - Class in edu.stanford.nlp.pipeline: Write a subset of our CoreNLP output in CoNLL-U format.
CoNLLUOutputter() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUOutputter
CoNLLUOutputter(String) - Constructor for class edu.stanford.nlp.pipeline.CoNLLUOutputter
CoNLLUOutputter(Properties) - Constructor for class edu.stanford.nlp.pipeline.CoNLLUOutputter
conllUPrint(Annotation, OutputStream) - Static method in class edu.stanford.nlp.pipeline.CoNLLUOutputter
conllUPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.CoNLLUOutputter
conllUPrint(Annotation, OutputStream, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.CoNLLUOutputter
CoNLLUReader - Class in edu.stanford.nlp.pipeline: A class for reading in CoNLL-U data and creating Annotations.
CoNLLUReader() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLUReader(Properties) - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader
CoNLLUReader.CoNLLUDocument - Class in edu.stanford.nlp.pipeline: class to store info for a CoNLL-U document
CoNLLUReader.CoNLLUSentence - Class in edu.stanford.nlp.pipeline: class to store info for a CoNLL-U sentence
CONLLUSECONDARYDEPS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CoNLLUSecondaryDepsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUSecondaryDepsAnnotation
CoNLLUSentence() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
CoNLLUTagUpdater - Class in edu.stanford.nlp.trees.ud: Load a CoNLL-U file, retag it using the specified tagger, and output back to stdout
CoNLLUTagUpdater() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUTagUpdater
CONLLUTOKENSPAN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CoNLLUTokenSpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUTokenSpanAnnotation
CoNLLUUtils - Class in edu.stanford.nlp.trees.ud: Utility functions for reading and writing CoNLL-U files.
CoNLLUUtils() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils
CoNLLUUtils.DepIndexComparator - Class in edu.stanford.nlp.trees.ud
CoNLLX_FieldCount - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_GovField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_POSField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_RelnField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
CoNLLX_WordField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
ConnectedComponents<V,E> - Class in edu.stanford.nlp.graph: Finds connected components in the graph, currently uses inefficient list for variable 'verticesLeft'.
ConnectedComponents() - Constructor for class edu.stanford.nlp.graph.ConnectedComponents
consistencyCheck - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
console(String, Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils: Start a simple console.
console(Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils
constant(double) - Static method in class edu.stanford.nlp.coref.statistical.SimpleLinearClassifier
Constants - Class in edu.stanford.nlp.dcoref
Constants() - Constructor for class edu.stanford.nlp.dcoref.Constants
ConstantsAndVariables - Class in edu.stanford.nlp.patterns
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
ConstantsAndVariables(Properties, Map<String, Set<CandidatePhrase>>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
ConstantsAndVariables(Properties, String, Class<? extends TypesafeMap.Key<String>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
ConstantsAndVariables.DataSentsIterator - Class in edu.stanford.nlp.patterns
ConstantsAndVariables.PatternForEachTokenWay - Enum in edu.stanford.nlp.patterns
ConstantsAndVariables.PatternIndexWay - Enum in edu.stanford.nlp.patterns
ConstantsAndVariables.ScorePhraseMeasures - Class in edu.stanford.nlp.patterns
constituencyParse() - Method in class edu.stanford.nlp.pipeline.CoreSentence: constituency parse
constituencyTreePrinter - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options: How to print a constituency tree for display.
Constituent - Class in edu.stanford.nlp.trees: A Constituent object defines a generic edge in a graph.
Constituent() - Constructor for class edu.stanford.nlp.trees.Constituent
ConstituentFactory - Interface in edu.stanford.nlp.trees: A ConstituentFactory is a factory for creating objects of class Constituent, or some descendent class.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent: Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent: Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent: Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.Span: Return a factory for this kind of constituent.
constituents() - Method in class edu.stanford.nlp.trees.Tree: Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory) - Method in class edu.stanford.nlp.trees.Tree: Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, int) - Method in class edu.stanford.nlp.trees.Tree: Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean) - Method in class edu.stanford.nlp.trees.Tree: Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean, Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
ConstraintAnnotation() - Constructor for class edu.stanford.nlp.parser.common.ParserAnnotations.ConstraintAnnotation
constraints - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: When you want to force the parser to parse a particular subsequence into a particular state.
constructEntityMention(String, CoreMap, Span, Span, String, String, String) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMentionFactory: Always use this method to construct EntityMentions Other factories that inherit from this (e.g., NFLEntityMentionFactory) may override this
constructRelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>, Counter<String>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMentionFactory: Always use this method to construct RelationMentions Other factories that inherit from this (e.g., NFLRelationFactory) may override this
constructSentenceRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
constVars - Variable in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
contains(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.AbbreviationMap
contains(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
contains(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span: Returns true if this span contains otherSpan.
contains(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span: Returns true if i is inside this span.
contains(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance: Returns true iff this date contains the date represented by other.
contains(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
contains(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
contains(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Can be slow.
contains(Word) - Method in class edu.stanford.nlp.process.StopList: Returns true if the word is in the stoplist.
contains(String) - Method in class edu.stanford.nlp.process.StopList: Returns true if the word is in the stoplist.
contains(String) - Method in class edu.stanford.nlp.quoteattribution.Person
contains() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
contains(String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonWordlist
contains(Object) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
contains(SUTime.Range) - Method in class edu.stanford.nlp.time.SUTime.Range: Checks if the provided range r is within the current range.
contains(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Range: Checks if the provided time is within the current range.
contains(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
contains(Constituent) - Method in class edu.stanford.nlp.trees.Constituent: Detects whether this constituent contains a constituent, that is whether they are nested.
contains(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils: Returns true iff object o equals (not ==) some element of array a.
contains(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Returns whether the queue contains the given key.
contains(Object) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
contains(Object) - Method in class edu.stanford.nlp.util.DeltaIndex
contains(Object) - Method in class edu.stanford.nlp.util.HashIndex: Checks whether an Object already has an index in the Index
contains(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet: Returns true if this set contains the specified element.
contains(Object) - Method in interface edu.stanford.nlp.util.Index
contains(E) - Method in class edu.stanford.nlp.util.Interval: Checks whether the point p is contained inside this interval.
contains(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
contains(Object) - Method in class edu.stanford.nlp.util.IntervalTree
contains(T) - Method in class edu.stanford.nlp.util.IntervalTree
contains(Object) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
contains(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
contains(String) - Method in class edu.stanford.nlp.wordseg.ChineseDictionary
contains(String) - Method in class edu.stanford.nlp.wordseg.CorpusDictionary
CONTAINS_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
containsAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Can be slow.
containsAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
containsAll(Collection<?>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
containsAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
containsAny(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: if any item in toCheck is present in collection
containsEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
containsEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
containsFirstKey(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
containsFuzzy(Set<CandidatePhrase>, CandidatePhrase, int) - Static method in class edu.stanford.nlp.patterns.ConstantsAndVariables
containsIgnoreCase(Collection<String>, String) - Static method in class edu.stanford.nlp.util.StringUtils: Convenience method: a case-insensitive variant of Collection.contains.
containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
containsInterval(T, boolean) - Method in class edu.stanford.nlp.util.IntervalTree
containsInterval(IntervalTree<E, T>, E, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
containsInterval(IntervalTree<E, T>, Interval<E>, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
containsKey(String) - Method in class edu.stanford.nlp.parser.shiftreduce.WeightMap
containsKey(E) - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns whether a Counter contains a key.
containsKey(E) - Method in interface edu.stanford.nlp.stats.Counter: Returns whether a Counter contains a key.
containsKey(E) - Method in class edu.stanford.nlp.stats.Distribution
containsKey(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Like ClassicCounter, this currently returns true if the count is explicitly 0.0 for something
containsKey(E) - Method in class edu.stanford.nlp.stats.IntCounter
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
containsKey(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
containsKey(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Does the word exist in the dictionary?
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Returns true if contains the given key.
containsKey(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
containsKey(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaMap: This is more expensive.
containsKey(U) - Method in class edu.stanford.nlp.util.MapList
containsKey(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap
containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap: Returns true if contains the given key.
containsLeftAsKey(L) - Method in class edu.stanford.nlp.util.OneToOneMap
containsLemma(Iterable<? extends HasLemma>, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils
containsMention(Mention) - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
containsMention(Mention) - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
ContainsMessage(String) - Constructor for class edu.stanford.nlp.util.logging.LogFilter.ContainsMessage
containsObject(Collection<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils: Checks whether a Collection contains a specified Object.
containsOpen(E) - Method in class edu.stanford.nlp.util.Interval
containsRightAsKey(R) - Method in class edu.stanford.nlp.util.OneToOneMap
containsSentId(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
containsSentId(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
containsValue(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
containsValue(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Unsupported.
containsValue(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
containsValue(IntervalTree<E, T>, T) - Static method in class edu.stanford.nlp.util.IntervalTree
containsVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
containsVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
containsVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
containsWord(String) - Method in class edu.stanford.nlp.neural.Embedding
containsWord(Iterable<? extends HasWord>, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils
content - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
context - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression: Function indicating how to extract an value from annotation built from this expression
contextIncompatible(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
contextIncompatible(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
contextParseTree - Variable in class edu.stanford.nlp.coref.data.Mention
contextParseTree - Variable in class edu.stanford.nlp.dcoref.Mention
ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
Contingency(int, int, int, int) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix.Contingency
ContinuationSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
continuingInputs() - Method in class edu.stanford.nlp.fsm.DFSAState
CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "xsubj" grammatical relation.
CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "xsubj" grammatical relation, replaced with "nsubj:xsubj".
CONTROLLING_CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "controlling clausal passive subject" relation.
CONTROLLING_CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "controlling clausal subject" relation.
CONTROLLING_NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CONTROLLING_NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "controlling nominal passive subject" relation.
CONTROLLING_NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
CONTROLLING_NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "controlling nominal subject" relation.
ConversationalSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.QMSieves: Created by mjfang on 7/7/16.
ConversationalSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ConversationalSieve
ConversionOptions() - Constructor for class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
CONVERSIONS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
convert(String) - Static method in class edu.stanford.nlp.util.DataFilePaths
ConvertByteArray - Class in edu.stanford.nlp.util: This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
convertCoNLLUDocumentToAnnotation(CoNLLUReader.CoNLLUDocument) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader: Convert a CoNLLUDocument into an Annotation The convention is that a CoNLLU document represents a list of sentences, one sentence per line, separated by newline.
convertCoNLLUSentenceToCoreMap(CoNLLUReader.CoNLLUDocument, CoNLLUReader.CoNLLUSentence) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader: Convert a list of CoNLL-U token lines into a sentence CoreMap
convertDataset(List<Tree>, List<List<Tree>>) - Method in class edu.stanford.nlp.parser.metrics.EvaluateExternalParser
ConvertGenderFile - Class in edu.stanford.nlp.dcoref.util: This tool converts the gender file from the following:
w1 w2...
convertGrammarToGraphs(Pair<UnaryGrammar, BinaryGrammar>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
convertGraphsToGrammar(Set<TransducerGraph>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
convertIntermediateGraph(List<CoreLabel>) - Method in class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
convertItemSpan(Item) - Method in interface edu.stanford.nlp.parser.lexparser.LatticeScorer
ConvertMatlabModel - Class in edu.stanford.nlp.sentiment: This tool is of very limited scope: it converts a model built with the Matlab version of the code to the Java version of the code.
ConvertModels - Class in edu.stanford.nlp.neural
ConvertModels() - Constructor for class edu.stanford.nlp.neural.ConvertModels
ConvertModels.Model - Enum in edu.stanford.nlp.neural
ConvertModels.Stage - Enum in edu.stanford.nlp.neural
convertPath(List<V>, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
convertStringEquality(List<Collection<TypedDependency>>) - Static method in class edu.stanford.nlp.trees.DependencyScoring
convertStringPhrases(Collection<String>) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
convertTextMatrix(String) - Static method in class edu.stanford.nlp.neural.NeuralUtils
convertToArray(Collection<Double>) - Static method in class edu.stanford.nlp.classify.LogisticUtils
convertToBytes(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToBytes(IdentityHashMap<Tree, List<Tree>>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader: Converts the tree labels to CoreLabels.
convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees: Converts the tree labels to CoreLabels.
convertToString(Collection<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
convertToTrees(byte[]) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToTrees(IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToTrees(Collection<Tree>, IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
convertToUPOS - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
convertTree(List<Integer>, List<String>, Map<List<String>, Integer>, Map<Integer, Double>, PTBEscapingProcessor, int) - Static method in class edu.stanford.nlp.sentiment.ReadSentimentDataset
convertTrees(String[], String) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils: Given sentences or trees, output the typed dependencies.
ConvertTreesToTags - Class in edu.stanford.nlp.tagger.util: A short utility program that dumps out trees from multiple files into one file of tagged text.
convertTreeTagsToUD(Tree) - Static method in class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
convertValueToBoolean(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
convertValueToBooleanValue(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
CoolingSchedule - Class in edu.stanford.nlp.sequences
CoolingSchedule() - Constructor for class edu.stanford.nlp.sequences.CoolingSchedule
COORDINATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
COORDINATION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "coordination" grammatical relation.
CoordinationPattern - Class in edu.stanford.nlp.semgraph.semgrex
CoordinationPattern(boolean, List<SemgrexPattern>, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
CoordinationTransformer - Class in edu.stanford.nlp.trees: Coordination transformer transforms a PennTreebank tree containing a coordination in a flat structure in order to get the dependencies right.
CoordinationTransformer(HeadFinder) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
CoordinationTransformer(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer: Constructor
COPULA - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "copula" grammatical relation.
COPULA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "copula" grammatical relation.
COPULA - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
COPULA - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "copula" grammatical relation.
CopulaHeadFinder - Interface in edu.stanford.nlp.trees: A mix-in interface for HeadFinders which support the makesCopulaHead method, which says how the HeadFinder in question handles "to be" verbs.
COPULAR_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
copularVerbs - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
copularWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
copulas - Variable in class edu.stanford.nlp.coref.data.Dictionaries
copulas - Variable in class edu.stanford.nlp.dcoref.Dictionaries
copulasEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
copulasZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
copy() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr: Make a deep copy of the sequence pattern expressions
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
copy(float[], float[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
copy(double[], double[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
copy() - Method in class edu.stanford.nlp.patterns.surface.PatternToken
copy() - Method in class edu.stanford.nlp.pipeline.Annotation: Copies the map, but not a deep copy.
copy(int[]) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
copy(TsurgeonMatcher, TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree: Copies the Auxiliary tree.
copy(long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(short[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(double[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(float[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
copy(float[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
COPYANNOTATION_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
copyCount() - Method in class edu.stanford.nlp.ling.IndexedWord
COPYCOUNT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
copyEmptyNodes(SemanticGraph, SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalEnhancer
copyFile(File, File) - Static method in class edu.stanford.nlp.io.FileSystem: Copies a file.
copyLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
copyNewToken() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
CopySerializedObject - Class in edu.stanford.nlp.io: Copies a serialized object from one file to another.
CopySerializedObject() - Constructor for class edu.stanford.nlp.io.CopySerializedObject
copyTokens(List<CoreLabel>, CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier: Create a copy of srcTokens, detecting on the fly if character offsets need adjusting
copyUnsetAnnotations(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Copies annotation over to this CoreMap if not already set.
copyWordVector(Map<String, SimpleMatrix>, String, String) - Static method in class edu.stanford.nlp.sentiment.ConvertMatlabModel: Will not overwrite an existing word vector if it is already there
CoreAnnotation<V> - Interface in edu.stanford.nlp.ling: The base class for any annotation that can be marked on a CoreMap, parameterized by the type of the value associated with the annotation.
CoreAnnotations - Class in edu.stanford.nlp.ling: Set of common annotations for CoreMaps.
CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling: Annotation for the whitespace characters appear after this word.
CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling: The standard key for the answer which is a String
CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.AnswerProbAnnotation - Class in edu.stanford.nlp.ling: The matching probability for the AnswerAnnotation
CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.ArabicCharAnnotation - Class in edu.stanford.nlp.ling: for Arabic: character level information, segmentation
CoreAnnotations.ArabicSegAnnotation - Class in edu.stanford.nlp.ling: For Arabic: the segmentation information from the segmenter.
CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling: The standard key for a propbank label which is of type Argument
CoreAnnotations.AuthorAnnotation - Class in edu.stanford.nlp.ling: Author for the document (really should be a set of authors, but just have single string for simplicity)
CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling: Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeginIndexAnnotation - Class in edu.stanford.nlp.ling: This indexes the beginning of a span of words, e.g., a constituent in a tree.
CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling: Used in Task3 Pascal system
CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the date and time associated with an annotation.
CoreAnnotations.CanonicalEntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling: Index into the list of entity mentions in a document for canonical entity mention.
CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling: The standard key for storing category with functional tags.
CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the offset of the first char of an annotation.
CoreAnnotations.CharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the offset of the last character after the end of an annotation.
CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling: For Chinese: character level information, segmentation.
CoreAnnotations.ChineseIsSegmentedAnnotation - Class in edu.stanford.nlp.ling: Not sure exactly what this is, but it is different from ChineseSegAnnotation and seems to indicate if the text is segmented
CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling: For Chinese: the segmentation info existing in the original text.
CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling: For Chinese: the segmentation information from the segmenter.
CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CoarseNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the coarse named entity tag (i.e.
CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - coarser POS tags.
CoreAnnotations.CodepointOffsetBeginAnnotation - Class in edu.stanford.nlp.ling: Some codepoints count as more than one character.
CoreAnnotations.CodepointOffsetEndAnnotation - Class in edu.stanford.nlp.ling: Some codepoints count as more than one character.
CoreAnnotations.ColumnDataClassifierAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
CoreAnnotations.CoNLLDepParentIndexAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - the index of the word which is the parent of this word in the dependency tree
CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling: CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling: CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLSRLAnnotation - Class in edu.stanford.nlp.ling: CoNLL SRL/dep parsing - map which, for the current word, specifies its specific role for each predicate
CoreAnnotations.CoNLLUFeats - Class in edu.stanford.nlp.ling: CoNLL-U dep parsing - Map of morphological features
CoreAnnotations.CoNLLUMisc - Class in edu.stanford.nlp.ling: CoNLL-U dep parsing - Any other annotation
CoreAnnotations.CoNLLUSecondaryDepsAnnotation - Class in edu.stanford.nlp.ling: CoNLL-U dep parsing - List of secondary dependencies
CoreAnnotations.CoNLLUTokenSpanAnnotation - Class in edu.stanford.nlp.ling: CoNLL-U dep parsing - span of multiword tokens
CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation - Class in edu.stanford.nlp.ling: mapping from coref mentions to corresponding ner derived entity mentions
CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling: Key for relative value of a word - used in RTE
CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.DocIDAnnotation - Class in edu.stanford.nlp.ling: This refers to the unique identifier for a "document", where document may vary based on your application.
CoreAnnotations.DocSourceTypeAnnotation - Class in edu.stanford.nlp.ling: Document source type What kind of place did the document come from: newswire, discussion forum, web...
CoreAnnotations.DocTitleAnnotation - Class in edu.stanford.nlp.ling: Document title What is the document title
CoreAnnotations.DocTypeAnnotation - Class in edu.stanford.nlp.ling: Document type What kind of document is it: story, multi-part article, listing, email, etc
CoreAnnotations.DomainAnnotation - Class in edu.stanford.nlp.ling: Used in CRFClassifier stuff PositionAnnotation should possibly be an int - it's present as either an int or string depending on context CharAnnotation may be "CharacterAnnotation" - not sure
CoreAnnotations.EmptyIndexAnnotation - Class in edu.stanford.nlp.ling: Some datasets - for example, the UD Estonian EWT dataset - use "empty" nodes to represent words that were unspoken / unwritten but can be inferred from the structure of the sentence.
CoreAnnotations.EndIndexAnnotation - Class in edu.stanford.nlp.ling: This indexes the end of a span of words, e.g., a constituent in a tree.
CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.EntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling: index into the list of entity mentions in a document
CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation - Class in edu.stanford.nlp.ling: Mapping from NER-derived entity mentions to coref mentions.
CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ExceptionAnnotation - Class in edu.stanford.nlp.ling: Stores an exception associated with processing this document
CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling: The standard key for the features which is a Collection
CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.FineGrainedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the fine grained named entity tag (i.e.
CoreAnnotations.FirstChildAnnotation - Class in edu.stanford.nlp.ling: used in binarized trees to specify the first child in the rule for which this node is the parent
CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling: This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceUntilEndAnnotation - Class in edu.stanford.nlp.ling: This indicates that starting at this token, the sentence should not be ended until we see a ForcedSentenceEndAnnotation.
CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling: Possibly this should be grouped with gazetteer annotation - original key was "gaz".
CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling: The standard key for the gazetteer information
CoreAnnotations.GenderAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying an entity mention's potential gender.
CoreAnnotations.GenericTokensAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling: The standard key for gold answer which is a String
CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling: specifies the base state of the parent of this node in the parse tree
CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.HeadWordStringAnnotation - Class in edu.stanford.nlp.ling: The key for storing a Head word as a string rather than a pointer (as in TreeCoreAnnotations.HeadWordAnnotation)
CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling: Used in srl.unsup
CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling: Inverse document frequency of the word this label represents
CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling: This indexes a token number inside a sentence.
CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling: The standard key for the semantic interpretation
CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling: it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsFirstWordOfMWTAnnotation - Class in edu.stanford.nlp.ling: The CoreLabel key identifying whether a token is the first word derived from a multi-word-token.
CoreAnnotations.IsMultiWordTokenAnnotation - Class in edu.stanford.nlp.ling: The CoreLabel key identifying whether a token is a multi-word-token This is attached to CoreLabels.
CoreAnnotations.IsNewlineAnnotation - Class in edu.stanford.nlp.ling: The CoreLabel key identifying whether a token is a newline or not This is attached to CoreLabels.
CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling: it really seems like this should have a different name or else be a boolean
CoreAnnotations.KBPTriplesAnnotation - Class in edu.stanford.nlp.ling: An annotation for a sentence tagged with its KBP relation.
CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling: Used in wsd.supwsd package
CoreAnnotations.LabelIDAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LabelWeightAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling: Used in Gale2007ChineseSegmenter
CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling: used in incremental DAG parser
CoreAnnotations.LeftTermAnnotation - Class in edu.stanford.nlp.ling: The Standard key for storing the left terminal number relative to the root of the tree of the leftmost terminal dominated by the current node
CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the lemma (morphological stem, lexeme form) of a token.
CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LineNumberAnnotation - Class in edu.stanford.nlp.ling: Line number for a sentence in a document delimited by newlines instead of punctuation.
CoreAnnotations.LinkAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.LocationAnnotation - Class in edu.stanford.nlp.ling: Reference location for the document
CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling: Another key used for propbank - to signify core arg nodes or predicate nodes
CoreAnnotations.MentionsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MentionTokenAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling: Used in nlp.coref
CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.MWTTokenMiscAnnotation - Class in edu.stanford.nlp.ling: CoNLL-U misc features specifically on the MWT part of a token rather than the word
CoreAnnotations.MWTTokenTextAnnotation - Class in edu.stanford.nlp.ling: Text of the token that was used to create this word during a multi word token split.
CoreAnnotations.NamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) This key is typically set on token annotations.
CoreAnnotations.NamedEntityTagProbsAnnotation - Class in edu.stanford.nlp.ling: Label and probability pair representing the coarse grained label and probability
CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NERIDAnnotation - Class in edu.stanford.nlp.ling: This is an NER ID annotation (in case the all caps parsing didn't work out for you...)
CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The key for the normalized value of numeric named entities.
CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling: Annotation indicating the numeric object associated with an annotation.
CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling: Annotation indicating the numeric value of the phrase the token is part of (twenty first => 21 21 ).
CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling: Annotation indicating whether the numeric phrase the token is part of represents a NUMBER or ORDINAL (twenty first => ORDINAL ORDINAL).
CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling: Used by RTE to track number of text sentences, to determine when hyp sentences begin.
CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling: Seems like this could be consolidated with something else...
CoreAnnotations.OriginalTextAnnotation - Class in edu.stanford.nlp.ling: The exact original surface form of a token.
CoreAnnotations.ParagraphAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.ParagraphIndexAnnotation - Class in edu.stanford.nlp.ling: used in ParagraphAnnotator.
CoreAnnotations.ParagraphsAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the paragraphs contained by an annotation.
CoreAnnotations.ParaPositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling: The standard key for the parent which is a String
CoreAnnotations.PartOfSpeechAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the Penn part of speech of a token.
CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling: annotation stolen from the lex parser
CoreAnnotations.PhraseWordsAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PhraseWordsTagAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.PresetAnswerAnnotation - Class in edu.stanford.nlp.ling: The standard key for the answer which is a String
CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling: used in binarized trees to say the name of the most recent child
CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling: Used in propbank.srl
CoreAnnotations.ProtoAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.QuotationIndexAnnotation - Class in edu.stanford.nlp.ling: Unique identifier within a document for a given quotation.
CoreAnnotations.QuotationsAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the quotations contained by an annotation.
CoreAnnotations.QuotedAnnotation - Class in edu.stanford.nlp.ling: Indicate whether a sentence is quoted
CoreAnnotations.QuotesAnnotation - Class in edu.stanford.nlp.ling: Store a list of CoreMaps representing quotes
CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling: The standard key for the semantic role label of a phrase.
CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling: Section of a document
CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling: Store the beginning of the author mention for this section
CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling: Store the end of the author mention for this section
CoreAnnotations.SectionDateAnnotation - Class in edu.stanford.nlp.ling: Date for a section of a document
CoreAnnotations.SectionEndAnnotation - Class in edu.stanford.nlp.ling: Indicates that the token end a section and the label of the section
CoreAnnotations.SectionIDAnnotation - Class in edu.stanford.nlp.ling: Id for a section of a document
CoreAnnotations.SectionIndexAnnotation - Class in edu.stanford.nlp.ling: Store an index into a list of sections
CoreAnnotations.SectionsAnnotation - Class in edu.stanford.nlp.ling: Store a list of sections in the document
CoreAnnotations.SectionStartAnnotation - Class in edu.stanford.nlp.ling: Indicates that the token starts a new section and the attributes that should go into that section
CoreAnnotations.SectionTagAnnotation - Class in edu.stanford.nlp.ling: Store the xml tag for the section as a CoreLabel
CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling: The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling: The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SentenceBeginAnnotation - Class in edu.stanford.nlp.ling: The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceEndAnnotation - Class in edu.stanford.nlp.ling: The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling: Unique identifier within a document for a given sentence.
CoreAnnotations.SentencePositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.SentencesAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the sentences contained in an annotation.
CoreAnnotations.ShapeAnnotation - Class in edu.stanford.nlp.ling: The standard key for the "shape" of a word: a String representing the type of characters in a word, such as "Xx" for a capitalized word.
CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling: Used in Chinese segmenters for whether there was space before a character.
CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling: The standard key for span which is an IntPair
CoreAnnotations.SpeakerAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.SpeakerTypeAnnotation - Class in edu.stanford.nlp.ling: used to store speaker type information for coref
CoreAnnotations.SRL_ID - Enum in edu.stanford.nlp.ling
CoreAnnotations.SRLIDAnnotation - Class in edu.stanford.nlp.ling: The key for semantic role labels (Note: please add to this description if you use this key)
CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.StackedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) from a previous NER tagger.
CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling: The base version of the parser state, like NP or VBZ or ...
CoreAnnotations.StatementTextAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the annotation's text, as formatted by the QuestionToStatementTranslator.
CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling: Stem of the word this label represents.
CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling: Used in Trees
CoreAnnotations.TextAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the annotation's text.
CoreAnnotations.TokenBeginAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the first token included in an annotation.
CoreAnnotations.TokenEndAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the last token after the end of an annotation.
CoreAnnotations.TokensAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the tokens contained by an annotation.
CoreAnnotations.TopicAnnotation - Class in edu.stanford.nlp.ling: Used for Topic Assignments from LDA or its equivalent models.
CoreAnnotations.TrueCaseAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the token-level true case annotation (e.g., INIT_UPPER) This key is typically set on token annotations.
CoreAnnotations.TrueCaseTextAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key identifying the annotation's true-cased text.
CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling: whether the node is the parent in a unary rule
CoreAnnotations.UnclosedQuotationsAnnotation - Class in edu.stanford.nlp.ling: The CoreMap key for getting the quotations contained by an annotation.
CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling: Note: this is not a catchall "unknown" annotation but seems to have a specific meaning for sequence classifiers
CoreAnnotations.UseMarkedDiscourseAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.UtteranceAnnotation - Class in edu.stanford.nlp.ling: used in dcoref.
CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling: Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.VerbSenseAnnotation - Class in edu.stanford.nlp.ling: Probank key for the Verb sense given in the Propbank Annotation, should only be in the verbnode
CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WikipediaEntityAnnotation - Class in edu.stanford.nlp.ling: An annotation for the Wikipedia page (i.e., canonical name) associated with this token.
CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordnetSynAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordPositionAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
CoreAnnotations.XmlContextAnnotation - Class in edu.stanford.nlp.ling: Used in CleanXMLAnnotator.
CoreAnnotations.XmlElementAnnotation - Class in edu.stanford.nlp.ling: Used in SimpleXMLAnnotator.
CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
CoreDocument - Class in edu.stanford.nlp.pipeline: Wrapper around an annotation representing a document.
CoreDocument(String) - Constructor for class edu.stanford.nlp.pipeline.CoreDocument
CoreDocument(Annotation) - Constructor for class edu.stanford.nlp.pipeline.CoreDocument
CoreEntityMention - Class in edu.stanford.nlp.pipeline
CoreEntityMention(CoreSentence, CoreMap) - Constructor for class edu.stanford.nlp.pipeline.CoreEntityMention
coref(Document, StringBuilder[]) - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem: main entry of coreference system.
coref(Document) - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem: main entry of coreference system.
coref(Annotation) - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem: main entry of coreference system.
coref(Document) - Method in class edu.stanford.nlp.dcoref.CoreferenceSystem
coref(Document) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem: Extracts coreference clusters.
coref(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Annotate for coreference (statistical or hybrid)
coref(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations: Annotate for coreference (statistical or hybrid)
coref(Properties) - Method in class edu.stanford.nlp.simple.ArabicDocument
coref(Properties) - Method in class edu.stanford.nlp.simple.Document: Returns the coref chains in the document.
coref() - Method in class edu.stanford.nlp.simple.Document
coref(Properties) - Method in class edu.stanford.nlp.simple.FrenchDocument
coref(Properties) - Method in class edu.stanford.nlp.simple.GermanDocument
coref() - Method in class edu.stanford.nlp.simple.Sentence: Get the coreference chain for just this sentence.
coref(Properties) - Method in class edu.stanford.nlp.simple.SpanishDocument
COREF_PATH - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
CorefAlgorithm - Interface in edu.stanford.nlp.coref: A CorefAlgorithms make coreference decisions on the provided Document after mention detection has been performed.
CorefAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefAnnotation
CorefAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefAnnotation
CorefAnnotator - Class in edu.stanford.nlp.pipeline: This class adds coref information to an Annotation.
CorefAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.CorefAnnotator
CorefChain - Class in edu.stanford.nlp.coref.data: Output of (deterministic) coref system.
CorefChain(CorefCluster, Map<Mention, IntTuple>) - Constructor for class edu.stanford.nlp.coref.data.CorefChain
CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) - Constructor for class edu.stanford.nlp.coref.data.CorefChain: Constructor required by CustomAnnotationSerializer
CorefChain - Class in edu.stanford.nlp.dcoref: Output of (deterministic) coref system.
CorefChain(CorefCluster, Map<Mention, IntTuple>) - Constructor for class edu.stanford.nlp.dcoref.CorefChain
CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) - Constructor for class edu.stanford.nlp.dcoref.CorefChain: Constructor required by CustomAnnotationSerializer
CorefChain.CorefMention - Class in edu.stanford.nlp.coref.data: Mention for coref output.
CorefChain.CorefMention - Class in edu.stanford.nlp.dcoref: Mention for coref output.
CorefChain.CorefMentionComparator - Class in edu.stanford.nlp.coref.data
CorefChain.CorefMentionComparator - Class in edu.stanford.nlp.dcoref
CorefChain.MentionComparator - Class in edu.stanford.nlp.coref.data
CorefChain.MentionComparator - Class in edu.stanford.nlp.dcoref
COREFCHAIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
CorefChainAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefChainAnnotation
CorefChainAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation
corefChains() - Method in class edu.stanford.nlp.pipeline.CoreDocument: coref info
corefChainToKBPMentions(CorefChain, Annotation, HashMap<Pair<Integer, Integer>, CoreMap>) - Method in class edu.stanford.nlp.pipeline.KBPAnnotator: Helper method to find best kbp mention in a coref chain This is defined as longest kbp mention or null if the coref chain does not contain a kbp mention
CorefCluster - Class in edu.stanford.nlp.coref.data: One cluster for the SieveCoreferenceSystem.
CorefCluster(int) - Constructor for class edu.stanford.nlp.coref.data.CorefCluster
CorefCluster(int, Set<Mention>) - Constructor for class edu.stanford.nlp.coref.data.CorefCluster
CorefCluster - Class in edu.stanford.nlp.dcoref: One cluster for the SieveCoreferenceSystem.
CorefCluster(int) - Constructor for class edu.stanford.nlp.dcoref.CorefCluster
CorefCluster(int, Set<Mention>) - Constructor for class edu.stanford.nlp.dcoref.CorefCluster
CorefClusterAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefClusterAnnotation
CorefClusterAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterAnnotation: Deprecated.
corefClusterID - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
corefClusterID - Variable in class edu.stanford.nlp.coref.data.Mention
corefClusterID - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
corefClusterID - Variable in class edu.stanford.nlp.dcoref.Mention
COREFCLUSTERID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
COREFCLUSTERID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CorefClusterIdAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefClusterIdAnnotation
CorefClusterIdAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterIdAnnotation
corefClusters - Variable in class edu.stanford.nlp.coref.data.Document: Clusters for coreferent mentions
corefClusters - Variable in class edu.stanford.nlp.dcoref.Document: Clusters for coreferent mentions
CorefCoreAnnotations - Class in edu.stanford.nlp.coref: Similar to CoreAnnotations, but this class contains annotations made specifically for storing Coref data.
CorefCoreAnnotations() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations
CorefCoreAnnotations - Class in edu.stanford.nlp.dcoref: Similar to CoreAnnotations, but this class contains annotations made specifically for storing Coref data.
CorefCoreAnnotations() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations
CorefCoreAnnotations.CorefAnnotation - Class in edu.stanford.nlp.coref: the standard key for the coref label.
CorefCoreAnnotations.CorefAnnotation - Class in edu.stanford.nlp.dcoref: The standard key for the coref label.
CorefCoreAnnotations.CorefChainAnnotation - Class in edu.stanford.nlp.coref: CorefChainID - CorefChain map
CorefCoreAnnotations.CorefChainAnnotation - Class in edu.stanford.nlp.dcoref: CorefChainID - CorefChain map.
CorefCoreAnnotations.CorefClusterAnnotation - Class in edu.stanford.nlp.coref: Set of all the CoreLabel objects which are coreferent with a CoreLabel.
CorefCoreAnnotations.CorefClusterAnnotation - Class in edu.stanford.nlp.dcoref: Deprecated.
This was an original dcoref annotation. You should now use CorefChainAnnotation
CorefCoreAnnotations.CorefClusterIdAnnotation - Class in edu.stanford.nlp.coref: An integer representing a document-level unique cluster of coreferent entities.
CorefCoreAnnotations.CorefClusterIdAnnotation - Class in edu.stanford.nlp.dcoref: An integer representing a document-level unique cluster of coreferent entities.
CorefCoreAnnotations.CorefDestAnnotation - Class in edu.stanford.nlp.coref: Destination of the coreference link for this word (if any): it contains the index of the sentence and the index of the word that are the end of this coref link Both indices start at 1 The sentence index is IntTuple.get(0); the token index in the sentence is IntTuple.get(1)
CorefCoreAnnotations.CorefDestAnnotation - Class in edu.stanford.nlp.dcoref: Destination of the coreference link for this word (if any).
CorefCoreAnnotations.CorefGraphAnnotation - Class in edu.stanford.nlp.coref: Deprecated.
CorefCoreAnnotations.CorefGraphAnnotation - Class in edu.stanford.nlp.dcoref: Deprecated.
CorefCoreAnnotations.CorefMentionIndexesAnnotation - Class in edu.stanford.nlp.coref: index into the document wide list of coref mentions
CorefCoreAnnotations.CorefMentionsAnnotation - Class in edu.stanford.nlp.coref: this annotation marks in every sentence the mentions used for coref
CorefDestAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefDestAnnotation
CorefDestAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefDestAnnotation
corefDict - Variable in class edu.stanford.nlp.coref.data.Dictionaries
corefDict - Variable in class edu.stanford.nlp.dcoref.Dictionaries
CorefDictionaryMatch - Class in edu.stanford.nlp.coref.hybrid.sieve: Sieve that uses the coreference dictionary for the technical domain developed by Recasens, Can and Jurafsky (NAACL 2013).
CorefDictionaryMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.CorefDictionaryMatch
CorefDictionaryMatch - Class in edu.stanford.nlp.dcoref.sievepasses: Sieve that uses the coreference dictionary for the technical domain developed by Recasens, Can and Jurafsky (NAACL 2013).
CorefDictionaryMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.CorefDictionaryMatch
corefDictPMI - Variable in class edu.stanford.nlp.coref.data.Dictionaries
corefDictPMI - Variable in class edu.stanford.nlp.dcoref.Dictionaries
CorefDocumentProcessor - Interface in edu.stanford.nlp.coref: An interface for classes that iterate through coreference documents and process them one by one.
coreferenceContextSize - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options: Should a small window of context be provided with each coreference mention
CoreferenceSystem - Class in edu.stanford.nlp.dcoref: abstract class for coreference resolution system
CoreferenceSystem() - Constructor for class edu.stanford.nlp.dcoref.CoreferenceSystem
coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve: Checks if two clusters are coreferent according to our sieve pass constraints
coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>, Semantics) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve: Checks if two clusters are coreferent according to our sieve pass constraints.
CorefGraphAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefGraphAnnotation: Deprecated.
CorefGraphAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefGraphAnnotation: Deprecated.
COREFID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) - Constructor for class edu.stanford.nlp.coref.data.CorefChain.CorefMention
CorefMention(Mention, IntTuple) - Constructor for class edu.stanford.nlp.coref.data.CorefChain.CorefMention
CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMention: This constructor is used to recreate a CorefMention following serialization.
CorefMention(Mention, IntTuple) - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMention: This constructor builds the external CorefMention class from the internal Mention.
corefMention(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Annotate for mention (statistical or hybrid)
corefMention(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations: Annotate for mention (statistical or hybrid)
CorefMentionAnnotation() - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CorefMentionAnnotation
CorefMentionAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorefMentionAnnotation
CorefMentionAnnotator - Class in edu.stanford.nlp.pipeline: This class adds mention information to an Annotation.
CorefMentionAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.CorefMentionAnnotator
CorefMentionComparator() - Constructor for class edu.stanford.nlp.coref.data.CorefChain.CorefMentionComparator
CorefMentionComparator() - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMentionComparator
CorefMentionFinder - Class in edu.stanford.nlp.coref.md: Interface for finding coref mentions in a document.
CorefMentionFinder() - Constructor for class edu.stanford.nlp.coref.md.CorefMentionFinder
CorefMentionFinder - Interface in edu.stanford.nlp.dcoref: Interface for finding coref mentions in a document.
COREFMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
CorefMentionIndexesAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefMentionIndexesAnnotation
corefMentions - Variable in class edu.stanford.nlp.coref.data.CorefCluster
corefMentions - Variable in class edu.stanford.nlp.dcoref.CorefCluster
CorefMentionsAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefMentionsAnnotation
CorefMentionToEntityMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
COREFMENTIONTOENTITYMENTIONMAPPINGS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
CorefPrinter - Class in edu.stanford.nlp.coref: Class for printing out coreference output.
CorefPrinter() - Constructor for class edu.stanford.nlp.coref.CorefPrinter
CorefProperties - Class in edu.stanford.nlp.coref: Manages the properties for running coref.
CorefProperties.CorefAlgorithmType - Enum in edu.stanford.nlp.coref
CorefProperties.Dataset - Enum in edu.stanford.nlp.coref
CorefProperties.MentionDetectionType - Enum in edu.stanford.nlp.coref
corefReturnHybridOutput(Document) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
CorefRules - Class in edu.stanford.nlp.coref: Rules for coref system (mention detection, entity coref, event coref) The name of the method for mention detection starts with detection, for entity coref starts with entity, and for event coref starts with event.
CorefRules() - Constructor for class edu.stanford.nlp.coref.CorefRules
CorefScorer - Class in edu.stanford.nlp.coref: Utilities for running coref evaluation scripts and printing the results
CorefScorer() - Constructor for class edu.stanford.nlp.coref.CorefScorer
CorefScorer - Class in edu.stanford.nlp.dcoref: Wrapper for a coreference resolution score: MUC, B cubed, Pairwise.
CorefScorer.ScorerMissingException - Exception in edu.stanford.nlp.coref
CorefSystem - Class in edu.stanford.nlp.coref: Class for running coreference algorithms
CorefSystem(Properties) - Constructor for class edu.stanford.nlp.coref.CorefSystem
CorefSystem(DocumentMaker, CorefAlgorithm, boolean, boolean) - Constructor for class edu.stanford.nlp.coref.CorefSystem
CorefUtils - Class in edu.stanford.nlp.coref: Useful utilities for coreference resolution.
CorefUtils() - Constructor for class edu.stanford.nlp.coref.CorefUtils
CoreLabel - Class in edu.stanford.nlp.ling: A CoreLabel represents a single word with ancillary information attached using CoreAnnotations.
CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel: Default constructor, calls super()
CoreLabel(int) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Initializes this CoreLabel, pre-allocating arrays to hold up to capacity key,value pairs.
CoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Returns a new CoreLabel instance based on the contents of the given CoreLabel.
CoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Returns a new CoreLabel instance based on the contents of the given CoreMap.
CoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CoreLabel: Returns a new CoreLabel instance based on the contents of the given label.
CoreLabel(String[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel: This constructor attempts to parse the String keys into Class keys.
CoreLabel(Class[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel: This constructor attempts to use preparsed Class keys.
CoreLabel.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling: Class that all "generic" annotations extend.
CoreLabel.OutputFormat - Enum in edu.stanford.nlp.ling
coreLabelFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer: a factory that vends CoreLabel tokens with default tokenization.
coreLabelFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
coreLabelFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
CoreLabelProcessor - Class in edu.stanford.nlp.process: Abstract class for processing a List<CoreLabel>.
CoreLabelProcessor() - Constructor for class edu.stanford.nlp.process.CoreLabelProcessor
CoreLabelTokenFactory - Class in edu.stanford.nlp.process: Constructs CoreLabels from Strings optionally with beginning and ending (character after the end) offset positions in an original text.
CoreLabelTokenFactory() - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory: Constructor for a new token factory which will add in the word, the "current" annotation, and the begin/end position annotations.
CoreLabelTokenFactory(boolean) - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory: Constructor that allows one to choose if index annotation indicating begin/end position will be included in the label.
coreMap() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: get the underlying CoreMap if need be
coreMap() - Method in class edu.stanford.nlp.pipeline.CoreQuote: get the underlying CoreMap if need be
coreMap() - Method in class edu.stanford.nlp.pipeline.CoreSentence: get the underlying CoreMap if need be
CoreMap - Interface in edu.stanford.nlp.util: Base type for all annotatable core objects.
COREMAP_LIST_TO_STRING_CONVERTER - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
COREMAP_TO_CHAR_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
COREMAP_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
CoreMapAggregator - Class in edu.stanford.nlp.pipeline: Function that aggregates several core maps into one
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
CoreMapAttributeAggregator - Class in edu.stanford.nlp.pipeline: Functions for aggregating token attributes.
CoreMapAttributeAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
CoreMapAttributeAggregator.ConcatAggregator - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatCoreMapListAggregator<T extends CoreMap> - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatListAggregator<T> - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatTextAggregator - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.MostFreqAggregator - Class in edu.stanford.nlp.pipeline
CoreMapExpressionExtractor<T extends MatchedExpression> - Class in edu.stanford.nlp.ling.tokensregex: Represents a list of assignment and extraction rules over sequence patterns.
CoreMapExpressionExtractor() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Creates an empty instance with no rules.
CoreMapExpressionExtractor(Env) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Creates a default instance with the specified environment.
CoreMapExpressionExtractor(Env, List<SequenceMatchRules.Rule>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Creates an instance with the specified environment and list of rules
CoreMapExpressionExtractor.Stage<T> - Class in edu.stanford.nlp.ling.tokensregex: Describes one stage of extraction.
CoreMapExpressionNodePattern - Class in edu.stanford.nlp.ling.tokensregex: Pattern for matching a CoreMap using a generic expression
CoreMapExpressionNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
CoreMapExpressionNodePattern(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
CoreMapExprNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CoreMapExtractRule(Env, Class, SequenceMatchRules.ExtractRule<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
CoreMapFunctionApplier(Env, Class, Function<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
CoreMapNode(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CoreMapNodePattern - Class in edu.stanford.nlp.ling.tokensregex: Pattern for matching a CoreMap
CoreMapNodePattern(List<Pair<Class, NodePattern>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
CoreMapNodePattern(Pair<Class, NodePattern>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
CoreMapNodePattern(Class, NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
CoreMapNodePattern.AttributesEqualMatchChecker<K> - Class in edu.stanford.nlp.ling.tokensregex
CoreMapNodePatternTrigger - Class in edu.stanford.nlp.ling.tokensregex: Trigger for CoreMap Node Patterns.
CoreMapNodePatternTrigger(SequencePattern<CoreMap>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
CoreMapNodePatternTrigger(Collection<? extends SequencePattern<CoreMap>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
CoreMaps - Class in edu.stanford.nlp.util: Utility functions for working with CoreMap's.
CoreMapSequenceMatchAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex: Performs a action on a matched sequence
CoreMapSequenceMatchAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
CoreMapSequenceMatchAction.AnnotateAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
CoreMapSequenceMatchAction.MergeAction - Class in edu.stanford.nlp.ling.tokensregex
CoreMapSequenceMatcher<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex: CoreMap Sequence Matcher for regular expressions for sequences over CoreMaps.
CoreMapSequenceMatcher(SequencePattern<T>, List<? extends T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher - Class in edu.stanford.nlp.ling.tokensregex
CoreMapToListExtractRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
CoreMapToListFunctionApplier(Env, Function<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
CoreMapVarNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CoreMapVarValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CoreMapWordPattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CoreNLPDocumentReader - Class in edu.stanford.nlp.coref.docreader: Coref doc reader where annotations are stored as CoreNLP annotations
CoreNLPDocumentReader(String) - Constructor for class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
CoreNLPDocumentReader(String, CoreNLPDocumentReader.Options) - Constructor for class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
CoreNLPDocumentReader.Options - Class in edu.stanford.nlp.coref.docreader: Flags
CoreNLPHandler(Properties, Predicate<Properties>, Consumer<StanfordCoreNLPServer.FinishedRequest>, StanfordCoreNLPServer.FileHandler, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.CoreNLPHandler: Create a handler for accepting annotation requests.
CoreNLPProtos - Class in edu.stanford.nlp.pipeline
CoreNLPProtos.CorefChain - Class in edu.stanford.nlp.pipeline: A coreference chain.
CoreNLPProtos.CorefChain.Builder - Class in edu.stanford.nlp.pipeline: A coreference chain.
CoreNLPProtos.CorefChain.CorefMention - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
CoreNLPProtos.CorefChain.CorefMention.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
CoreNLPProtos.CorefChain.CorefMentionOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.CorefChainOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyConverterRequest - Class in edu.stanford.nlp.pipeline: A request for converting constituency trees to dependency graphs
CoreNLPProtos.DependencyConverterRequest.Builder - Class in edu.stanford.nlp.pipeline: A request for converting constituency trees to dependency graphs
CoreNLPProtos.DependencyConverterRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyConverterResponse - Class in edu.stanford.nlp.pipeline: The result of using the CoreNLP dependency converter.
CoreNLPProtos.DependencyConverterResponse.Builder - Class in edu.stanford.nlp.pipeline: The result of using the CoreNLP dependency converter.
CoreNLPProtos.DependencyConverterResponse.DependencyConversion - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion
CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion
CoreNLPProtos.DependencyConverterResponse.DependencyConversionOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyConverterResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyEnhancerRequest - Class in edu.stanford.nlp.pipeline: A protobuf which allows to pass in a document with basic dependencies to be converted to enhanced
CoreNLPProtos.DependencyEnhancerRequest.Builder - Class in edu.stanford.nlp.pipeline: A protobuf which allows to pass in a document with basic dependencies to be converted to enhanced
CoreNLPProtos.DependencyEnhancerRequest.RefCase - Enum in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyEnhancerRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraph - Class in edu.stanford.nlp.pipeline: A dependency graph representation.
CoreNLPProtos.DependencyGraph.Builder - Class in edu.stanford.nlp.pipeline: A dependency graph representation.
CoreNLPProtos.DependencyGraph.Edge - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
CoreNLPProtos.DependencyGraph.Edge.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
CoreNLPProtos.DependencyGraph.EdgeOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraph.Node - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
CoreNLPProtos.DependencyGraph.Node.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
CoreNLPProtos.DependencyGraph.NodeOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraphOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Document - Class in edu.stanford.nlp.pipeline: A document; that is, the equivalent of an Annotation.
CoreNLPProtos.Document.Builder - Class in edu.stanford.nlp.pipeline: A document; that is, the equivalent of an Annotation.
CoreNLPProtos.DocumentOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Entity - Class in edu.stanford.nlp.pipeline: A representation of an entity in a relation.
CoreNLPProtos.Entity.Builder - Class in edu.stanford.nlp.pipeline: A representation of an entity in a relation.
CoreNLPProtos.EntityOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.EvaluateParserRequest - Class in edu.stanford.nlp.pipeline: A protobuf for calling the java constituency parser evaluator from elsewhere
CoreNLPProtos.EvaluateParserRequest.Builder - Class in edu.stanford.nlp.pipeline: A protobuf for calling the java constituency parser evaluator from elsewhere
CoreNLPProtos.EvaluateParserRequest.ParseResult - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult
CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult
CoreNLPProtos.EvaluateParserRequest.ParseResultOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.EvaluateParserRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.EvaluateParserResponse - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.EvaluateParserResponse
CoreNLPProtos.EvaluateParserResponse.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.EvaluateParserResponse
CoreNLPProtos.EvaluateParserResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.FlattenedParseTree - Class in edu.stanford.nlp.pipeline: A version of ParseTree with a flattened structure so that deep trees don't exceed the protobuf stack depth
CoreNLPProtos.FlattenedParseTree.Builder - Class in edu.stanford.nlp.pipeline: A version of ParseTree with a flattened structure so that deep trees don't exceed the protobuf stack depth
CoreNLPProtos.FlattenedParseTree.Node - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.FlattenedParseTree.Node
CoreNLPProtos.FlattenedParseTree.Node.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.FlattenedParseTree.Node
CoreNLPProtos.FlattenedParseTree.Node.ContentsCase - Enum in edu.stanford.nlp.pipeline
CoreNLPProtos.FlattenedParseTree.NodeOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.FlattenedParseTreeOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.IndexedWord - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.IndexedWord
CoreNLPProtos.IndexedWord.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.IndexedWord
CoreNLPProtos.IndexedWordOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Language - Enum in edu.stanford.nlp.pipeline: An enumeration for the valid languages allowed in CoreNLP
CoreNLPProtos.MapIntString - Class in edu.stanford.nlp.pipeline: A map from integers to strings.
CoreNLPProtos.MapIntString.Builder - Class in edu.stanford.nlp.pipeline: A map from integers to strings.
CoreNLPProtos.MapIntStringOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.MapStringString - Class in edu.stanford.nlp.pipeline: A map from strings to strings.
CoreNLPProtos.MapStringString.Builder - Class in edu.stanford.nlp.pipeline: A map from strings to strings.
CoreNLPProtos.MapStringStringOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Mention - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.Mention
CoreNLPProtos.Mention.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.Mention
CoreNLPProtos.MentionOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.MorphologyRequest - Class in edu.stanford.nlp.pipeline: Sent in Morphology requests - a stream of sentences with tagged words
CoreNLPProtos.MorphologyRequest.Builder - Class in edu.stanford.nlp.pipeline: Sent in Morphology requests - a stream of sentences with tagged words
CoreNLPProtos.MorphologyRequest.TaggedWord - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord
CoreNLPProtos.MorphologyRequest.TaggedWord.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord
CoreNLPProtos.MorphologyRequest.TaggedWordOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.MorphologyRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.MorphologyResponse - Class in edu.stanford.nlp.pipeline: Sent back from the Morphology request - the words and their tags
CoreNLPProtos.MorphologyResponse.Builder - Class in edu.stanford.nlp.pipeline: Sent back from the Morphology request - the words and their tags
CoreNLPProtos.MorphologyResponse.WordTagLemma - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma
CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma
CoreNLPProtos.MorphologyResponse.WordTagLemmaOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.MorphologyResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.NaturalLogicRelation - Enum in edu.stanford.nlp.pipeline: The seven informative Natural Logic relations
CoreNLPProtos.NERMention - Class in edu.stanford.nlp.pipeline: An NER mention in the text
CoreNLPProtos.NERMention.Builder - Class in edu.stanford.nlp.pipeline: An NER mention in the text
CoreNLPProtos.NERMentionOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Operator - Class in edu.stanford.nlp.pipeline: A Natural Logic operator
CoreNLPProtos.Operator.Builder - Class in edu.stanford.nlp.pipeline: A Natural Logic operator
CoreNLPProtos.OperatorOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.ParseTree - Class in edu.stanford.nlp.pipeline: A syntactic parse tree, with scores.
CoreNLPProtos.ParseTree.Builder - Class in edu.stanford.nlp.pipeline: A syntactic parse tree, with scores.
CoreNLPProtos.ParseTreeOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Polarity - Class in edu.stanford.nlp.pipeline: The polarity of a word, according to Natural Logic
CoreNLPProtos.Polarity.Builder - Class in edu.stanford.nlp.pipeline: The polarity of a word, according to Natural Logic
CoreNLPProtos.PolarityOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Quote - Class in edu.stanford.nlp.pipeline: A quotation marker in text
CoreNLPProtos.Quote.Builder - Class in edu.stanford.nlp.pipeline: A quotation marker in text
CoreNLPProtos.QuoteOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Relation - Class in edu.stanford.nlp.pipeline: A representation of a relation, mirroring RelationMention
CoreNLPProtos.Relation.Builder - Class in edu.stanford.nlp.pipeline: A representation of a relation, mirroring RelationMention
CoreNLPProtos.RelationOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.RelationTriple - Class in edu.stanford.nlp.pipeline: An OpenIE relation triple.
CoreNLPProtos.RelationTriple.Builder - Class in edu.stanford.nlp.pipeline: An OpenIE relation triple.
CoreNLPProtos.RelationTripleOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Section - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.Section
CoreNLPProtos.Section.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.Section
CoreNLPProtos.SectionOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexRequest - Class in edu.stanford.nlp.pipeline: A message for requesting a semgrex Each sentence stores information about the tokens making up the corresponding graph An alternative would have been to use the existing Document or Sentence classes, but the problem with that is it would be ambiguous which dependency object to use.
CoreNLPProtos.SemgrexRequest.Builder - Class in edu.stanford.nlp.pipeline: A message for requesting a semgrex Each sentence stores information about the tokens making up the corresponding graph An alternative would have been to use the existing Document or Sentence classes, but the problem with that is it would be ambiguous which dependency object to use.
CoreNLPProtos.SemgrexRequest.Dependencies - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies
CoreNLPProtos.SemgrexRequest.Dependencies.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies
CoreNLPProtos.SemgrexRequest.DependenciesOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexResponse - Class in edu.stanford.nlp.pipeline: The response from running a semgrex If you pass in M semgrex expressions and N dependency graphs, this returns MxN nested results.
CoreNLPProtos.SemgrexResponse.Builder - Class in edu.stanford.nlp.pipeline: The response from running a semgrex If you pass in M semgrex expressions and N dependency graphs, this returns MxN nested results.
CoreNLPProtos.SemgrexResponse.GraphResult - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult
CoreNLPProtos.SemgrexResponse.GraphResult.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult
CoreNLPProtos.SemgrexResponse.GraphResultOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexResponse.Match - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.Match
CoreNLPProtos.SemgrexResponse.Match.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.Match
CoreNLPProtos.SemgrexResponse.MatchOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexResponse.NamedEdge - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge
CoreNLPProtos.SemgrexResponse.NamedEdge.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge
CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexResponse.NamedNode - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode
CoreNLPProtos.SemgrexResponse.NamedNode.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode
CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexResponse.NamedRelation - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation
CoreNLPProtos.SemgrexResponse.NamedRelation.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation
CoreNLPProtos.SemgrexResponse.NamedRelationOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexResponse.SemgrexResult - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult
CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult
CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SemgrexResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Sentence - Class in edu.stanford.nlp.pipeline: The serialized version of a CoreMap representing a sentence.
CoreNLPProtos.Sentence.Builder - Class in edu.stanford.nlp.pipeline: The serialized version of a CoreMap representing a sentence.
CoreNLPProtos.SentenceFragment - Class in edu.stanford.nlp.pipeline: An entailed sentence fragment.
CoreNLPProtos.SentenceFragment.Builder - Class in edu.stanford.nlp.pipeline: An entailed sentence fragment.
CoreNLPProtos.SentenceFragmentOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SentenceOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Sentiment - Enum in edu.stanford.nlp.pipeline: An enumeration of valid sentiment values for the sentiment classifier.
CoreNLPProtos.Span - Class in edu.stanford.nlp.pipeline: A Span of text
CoreNLPProtos.Span.Builder - Class in edu.stanford.nlp.pipeline: A Span of text
CoreNLPProtos.SpanOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SpeakerInfo - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
CoreNLPProtos.SpeakerInfo.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
CoreNLPProtos.SpeakerInfoOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SsurgeonRequest - Class in edu.stanford.nlp.pipeline: A message for processing an Ssurgeon Each sentence stores information about the tokens making up the corresponding graph An alternative would have been to use the existing Document or Sentence classes, but the problem with that is it would be ambiguous which dependency object to use.
CoreNLPProtos.SsurgeonRequest.Builder - Class in edu.stanford.nlp.pipeline: A message for processing an Ssurgeon Each sentence stores information about the tokens making up the corresponding graph An alternative would have been to use the existing Document or Sentence classes, but the problem with that is it would be ambiguous which dependency object to use.
CoreNLPProtos.SsurgeonRequest.Ssurgeon - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon
CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon
CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SsurgeonRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SsurgeonResponse - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse
CoreNLPProtos.SsurgeonResponse.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse
CoreNLPProtos.SsurgeonResponse.SsurgeonResult - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult
CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult
CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.SsurgeonResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Timex - Class in edu.stanford.nlp.pipeline: A Timex object, representing a temporal expression (TIMe EXpression) These fields are not *really* optional.
CoreNLPProtos.Timex.Builder - Class in edu.stanford.nlp.pipeline: A Timex object, representing a temporal expression (TIMe EXpression) These fields are not *really* optional.
CoreNLPProtos.TimexOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.Token - Class in edu.stanford.nlp.pipeline: The serialized version of a Token (a CoreLabel).
CoreNLPProtos.Token.Builder - Class in edu.stanford.nlp.pipeline: The serialized version of a Token (a CoreLabel).
CoreNLPProtos.TokenLocation - Class in edu.stanford.nlp.pipeline: The index of a token in a document, including the sentence index and the offset.
CoreNLPProtos.TokenLocation.Builder - Class in edu.stanford.nlp.pipeline: The index of a token in a document, including the sentence index and the offset.
CoreNLPProtos.TokenLocationOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TokenOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TokensRegexRequest - Class in edu.stanford.nlp.pipeline: It's possible to send in a whole document, but we only care about the Sentences and Tokens
CoreNLPProtos.TokensRegexRequest.Builder - Class in edu.stanford.nlp.pipeline: It's possible to send in a whole document, but we only care about the Sentences and Tokens
CoreNLPProtos.TokensRegexRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TokensRegexResponse - Class in edu.stanford.nlp.pipeline: The result will be a nested structure: repeated PatternMatch, one for each pattern each PatternMatch has a repeated Match, which tells you which sentence matched and where
CoreNLPProtos.TokensRegexResponse.Builder - Class in edu.stanford.nlp.pipeline: The result will be a nested structure: repeated PatternMatch, one for each pattern each PatternMatch has a repeated Match, which tells you which sentence matched and where
CoreNLPProtos.TokensRegexResponse.Match - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.Match
CoreNLPProtos.TokensRegexResponse.Match.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.Match
CoreNLPProtos.TokensRegexResponse.MatchLocation - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation
CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation
CoreNLPProtos.TokensRegexResponse.MatchLocationOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TokensRegexResponse.MatchOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TokensRegexResponse.PatternMatch - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch
CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch
CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TokensRegexResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TsurgeonRequest - Class in edu.stanford.nlp.pipeline: A protobuf for running Tsurgeon operations on constituency trees
CoreNLPProtos.TsurgeonRequest.Builder - Class in edu.stanford.nlp.pipeline: A protobuf for running Tsurgeon operations on constituency trees
CoreNLPProtos.TsurgeonRequest.Operation - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TsurgeonRequest.Operation
CoreNLPProtos.TsurgeonRequest.Operation.Builder - Class in edu.stanford.nlp.pipeline: Protobuf type edu.stanford.nlp.pipeline.TsurgeonRequest.Operation
CoreNLPProtos.TsurgeonRequest.OperationOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TsurgeonRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPProtos.TsurgeonResponse - Class in edu.stanford.nlp.pipeline: The results of the Tsurgeon operation
CoreNLPProtos.TsurgeonResponse.Builder - Class in edu.stanford.nlp.pipeline: The results of the Tsurgeon operation
CoreNLPProtos.TsurgeonResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
CoreNLPServlet - Class in edu.stanford.nlp.pipeline.webapp
CoreNLPServlet() - Constructor for class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
CoreQuote - Class in edu.stanford.nlp.pipeline: Wrapper around a CoreMap representing a quote.
CoreQuote(CoreDocument, CoreMap) - Constructor for class edu.stanford.nlp.pipeline.CoreQuote
CoreSentence - Class in edu.stanford.nlp.pipeline
CoreSentence(CoreDocument, CoreMap) - Constructor for class edu.stanford.nlp.pipeline.CoreSentence
CoreTokenFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.process: To make tokens like CoreMap or CoreLabel.
CoreUtilities - Class in edu.stanford.nlp.ling
corporaDict - Variable in class edu.stanford.nlp.wordseg.NonDict2
CORPORATE_SUFFIXES - Static variable in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
CorpusChar - Class in edu.stanford.nlp.wordseg: Check tag of each character from 5 different corpora.
CorpusChar(String) - Constructor for class edu.stanford.nlp.wordseg.CorpusChar
CorpusDictionary - Class in edu.stanford.nlp.wordseg: Check if a bigram exists in bakeoff corpora.
CorpusDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.CorpusDictionary: Load a dictionary of words.
CorpusDictionary(String, boolean) - Constructor for class edu.stanford.nlp.wordseg.CorpusDictionary
CorpusStats() - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CorpusStats
CorpusStats() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorpusStats
correct(double, int) - Static method in class edu.stanford.nlp.classify.PRCurve
correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively modify the TypedDependencyGraph to correct language-dependent dependencies.
correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
correctDependencies(SemanticGraph) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
correctGuesses - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
correctTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: 'Correct' tags to produce verbs in VPs, etc.
cosine(SimpleMatrix, SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Compute cosine distance between two column vectors.
cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
cost(K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
cost(K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
cost(K, K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
cost(K, K, int) - Method in interface edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction
CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
costs - Variable in class edu.stanford.nlp.coref.statistical.MaxMarginMentionRanker
COUNT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
countAnywhere(Tree) - Method in class edu.stanford.nlp.trees.treebank.PunctCountingTreeVisitor
CountClosedTags - Class in edu.stanford.nlp.tagger.util: Implements Chris's heuristic for when a closed tag class can be treated as a closed tag.
countCloseToZero(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
countCommas(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
countDoubleNumMods(List<SceneGraphImage>) - Static method in class edu.stanford.nlp.scenegraph.RuleBasedParser
countEntityResults(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) - Static method in class edu.stanford.nlp.sequences.IOBUtils: For a sequence labeling task with multi-token entities, like NER, this works out TP, FN, FP counts that can be used for entity-level F1 results.
Counter<E> - Interface in edu.stanford.nlp.stats: An Object to double map used for keeping weights or counts for objects.
counter - Variable in class edu.stanford.nlp.stats.Distribution
Counters - Class in edu.stanford.nlp.stats: Static methods for operating on a Counter.
counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
countFinal(Tree) - Method in class edu.stanford.nlp.trees.treebank.PunctCountingTreeVisitor
countHistory(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countLengthAccuracy(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
countMWEStatistics(Tree, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>) - Static method in class edu.stanford.nlp.international.french.pipeline.MWEPreprocessor
countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countNegative(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countNewLines(String, int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
countNode(Tree, IntCounter<String>) - Method in class edu.stanford.nlp.trees.treebank.PunctCountingTreeVisitor
countNonZero(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countOriginalStates() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: Count all the internal labels in all the trees, and set their initial state counts to 1.
countPositive(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
countResults(List<IN>, Counter<String>, Counter<String>, Counter<String>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Count results using a method appropriate for the tag scheme being used.
countResults(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>, boolean) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
countResultsPerToken(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass: Count the successes and failures of the model on the given document ***token-based***.
countResultsSegmenter(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
countries - Variable in class edu.stanford.nlp.coref.data.Dictionaries
countries - Variable in class edu.stanford.nlp.dcoref.Dictionaries
COUNTRIES_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
COUNTRIES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
countRoot(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
countSpanErrors(TreebankLanguagePack, Tree, Tree) - Static method in class edu.stanford.nlp.parser.metrics.TreeSpanScoring: Counts how many spans are present in goldTree, including preterminals, but not present in guessTree, along with how many spans are present in guessTree and not goldTree.
countTree(Tree) - Method in class edu.stanford.nlp.neural.rnn.TopNGramRecord: Adds the tree and all its subtrees to the appropriate PriorityQueues for each predicted class.
countTree(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
CountTrees - Class in edu.stanford.nlp.parser.tools: Counts the number of trees in a (PTB format) treebank file.
CountTrees() - Constructor for class edu.stanford.nlp.parser.tools.CountTrees
countUnks(Tree) - Method in class edu.stanford.nlp.sentiment.Evaluate: Keep track of how many trees have at least one unknown, and how many of those have the top level annotation correct.
countVerbs(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
CountWrapper - Class in edu.stanford.nlp.tagger.maxent: A simple data structure for some tag counts.
CountWrapper() - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
CountWrapper(String, int, int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
COVER_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation: COVER = 5;
CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
cp(File, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils: An implementation of cp, as close to the Unix command as possible.
cp(File, File) - Static method in class edu.stanford.nlp.io.IOUtils
cPOS - Variable in class edu.stanford.nlp.parser.nndep.Config: Use coarse POS instead of fine-grained POS if cPOS = true.
cPosDef - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
crawl(IndexedWord, SemanticGraph, Set<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
crawl(IndexedWord, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
crcdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
create(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
create(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiTokenPatternExtractRuleCreator
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiTokenPatternExtractRuleCreator
create(Env, String, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceEndPatternExpr
create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceStartPatternExpr
create() - Method in class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark.ConcatVectorConstructionRecord
create(String) - Static method in class edu.stanford.nlp.patterns.ConstantsAndVariables.ScorePhraseMeasures
create(InputStream) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
create(Reader) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
create(InputStream) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
create(InputStream, String) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
create(Reader) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
create(InputStream) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
create(InputStream, String) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
create(Reader) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
create(InputStream, String) - Method in class edu.stanford.nlp.pipeline.SerializedAnnotationCreator
create(Expressions.CompositeValue) - Static method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
create() - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
create(String, Properties) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
create(String) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
create(String, String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
create(int, float, boolean, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap: Creates a new file-backed CacheMap or loads it in from the specified file if it already exists.
create(int, float, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
create(int, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
create(String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
create() - Method in interface edu.stanford.nlp.util.Factory: Creates and returns a new instance of the given type.
create(String) - Static method in class edu.stanford.nlp.util.MetaClass: Creates a new MetaClass (helper method)
create(Class<?>) - Static method in class edu.stanford.nlp.util.MetaClass: Creates a new MetaClass (helper method)
CREATE_REGEX_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
createAddNode(String, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
createAddNode(IndexedWord, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
createAnnotationExtractor(Env, SequenceMatchRules.AnnotationExtractRule) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
createArrays(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
createAssignmentRule(Env, AssignableExpression, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
createCanonicalMentionMap(List<List<CoreMap>>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
createClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ClassifierCreator
createClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
CreateClauseDataset - Class in edu.stanford.nlp.naturalli: A script to convert a TSV dump from our KBP sentences table into a Turk-task ready clause splitting dataset.
createCoreMap(CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
createDataset(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
createDataset(List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils: Given a list of sentences (as CoreMaps), wrap it in a new Annotation.
createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
createDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
createDocument() - Static method in class edu.stanford.nlp.time.XMLUtils
createElement(String) - Static method in class edu.stanford.nlp.time.XMLUtils
createEngAddEdge(String, String, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
createEngAddEdge(String, String, String, double) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
createExtractionRule(Env, Map<String, Object>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
createExtractionRule(Env, String, Object, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
createExtractor() - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
createExtractor() - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
createExtractor(String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
createExtractor() - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns: Creates a CoreMapExpressionExtractor that knows how to extract time related expressions from text into CoreMaps
createExtractorFromFile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Creates an extractor using the specified environment, and reading the rules from the given filename.
createExtractorFromFiles(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Creates an extractor using the specified environment, and reading the rules from the given filenames.
createExtractorFromFiles(Env, List<String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Creates an extractor using the specified environment, and reading the rules from the given filenames.
createExtractorFromString(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Creates an extractor using the specified environment, and reading the rules from the given string
createFactory(Class<?>...) - Method in class edu.stanford.nlp.util.MetaClass: Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(String...) - Method in class edu.stanford.nlp.util.MetaClass: Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(Object...) - Method in class edu.stanford.nlp.util.MetaClass: Creates a factory for producing instances of this class from a constructor taking objects of the types given
createFromFile(String) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
createFromFile(File) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
createFromFile(String) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
createFromFile(File) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
createFromFile(String) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
createFromFile(File) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
createFromText(String) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
createFromText(String) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
createFromText(String) - Method in class edu.stanford.nlp.pipeline.TextAnnotationCreator
createGraphFromPaths(List, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph: If markovOrder is zero, we always transition back to the start state If markovOrder is negative, we assume that it is infinite
createGraphFromPaths(ClassicCounter<List<T>>, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
createIndex() - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction: create an index for each parameter - the prior probs and the features with all of their values
createIndex() - Method in class edu.stanford.nlp.maxent.Experiments
createIndex(Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
createIndex(Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.LuceneSentenceIndex
createIndex(Class<? extends SentenceIndex>, Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.SentenceIndex
createIndexedWordProtoFromCL(CoreLabel) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer
createIndexedWordProtoFromIW(IndexedWord) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer
createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory: Creates an instance of the class produced in this factory
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass: Create an instance of the class, inferring the type automatically, and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createInstance(Class<E>, Object...) - Method in class edu.stanford.nlp.util.MetaClass: Creates an instance of the class, forcing a cast to a certain type and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createLinearClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
createMatchedExpression(Interval<Integer>, Interval<Integer>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
createMultiTokenPatternRule(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
createNameMatcher() - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
createNERClassifierCombiner(String, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner: This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator (and, thence, in StanfordCoreNLP).
createNERClassifierCombiner(String, Set<String>, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner: This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator (and, thence, in StanfordCoreNLP).
createOrGet(String) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
createOrGet(String, String) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
createOrGet(String, String, Counter<String>) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
createOutputter(Properties, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Create an outputter to be passed into StanfordCoreNLP.processFiles(String, Collection, int, Properties, BiConsumer, BiConsumer, OutputFormat, boolean).
createPats - Variable in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
createPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
CreatePatterns<E> - Class in edu.stanford.nlp.patterns.surface
CreatePatterns(Properties, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.CreatePatterns
CreatePatterns.CreatePatternsThread - Class in edu.stanford.nlp.patterns.surface
CreatePatternsThread(Map<String, DataInstance>, List<String>, Properties, ConstantsAndVariables.PatternForEachTokenWay) - Constructor for class edu.stanford.nlp.patterns.surface.CreatePatterns.CreatePatternsThread
createProbabilisticClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
createProbabilisticClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifierCreator
createRandomGraph(int, int, double, int, List<List<String>>) - Static method in class edu.stanford.nlp.fsm.TransducerGraph: For testing only.
createRandomPaths(int, int, double, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
createRecord(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
createRecords(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
createRule(Env, Expressions.CompositeValue) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
CreateSubtreeNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon: Given the start and end children of a particular node, takes all children between start and end (including the endpoints) and combines them in a new node with the given label.
CreateSubtreeNode(TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
CreateSubtreeNode(TsurgeonPattern, TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
createTagAndWordNode(String, String) - Static method in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
createTagAndWordNode(String, String) - Static method in class edu.stanford.nlp.international.german.scripts.GermanTreebankUDUpdater
createTemporal(SUTime.StandardTemporalType, T) - Static method in class edu.stanford.nlp.time.SUTime
createTemporal(SUTime.StandardTemporalType, String, T) - Static method in class edu.stanford.nlp.time.SUTime
createTemporal(SUTime.StandardTemporalType, String, String, T) - Static method in class edu.stanford.nlp.time.SUTime
createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
createTestDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
createTestDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
createTextNode(String) - Static method in class edu.stanford.nlp.time.XMLUtils
createTextPatternRule(Env, String, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
createTokenPatternRule(Env, SequencePattern.PatternExpr, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
CreateTransitionSequence - Class in edu.stanford.nlp.parser.shiftreduce
createTransitionSequence(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
createTransitionSequence(Tree, boolean, Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
createTransitionSequences(List<Tree>, boolean, Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
createTransitionSequences(List<Tree>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
createUnrelatedRelation(RelationMentionFactory, ExtractionObject...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
createUnrelatedRelations - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor: If true, it creates automatically negative examples by generating all combinations between EntityMentions in a sentence This is the common behavior, but for some domain (i.e., KBP) it must disabled.
createUnrelatedRelations - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
createUnrelatedRelations - Variable in class edu.stanford.nlp.ie.machinereading.RelationExtractorResultsPrinter
createUpsertFunction() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
createUpsertFunctionPatternIndex() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
createValue(String, T, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
CRFBiasedClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: CRFBiasedClassifier is used to adjust the precision-recall tradeoff of any CRF model implemented using CRFClassifier.
CRFBiasedClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
CRFBiasedClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
CRFClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Class for sequence classification using a Conditional Random Field model.
CRFClassifier() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
CRFClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
CRFClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
CRFClassifier(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier: Makes a copy of the crf classifier
CRFClassifierEvaluator<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Evaluates a CRFClassifier on a set of data.
CRFClassifierEvaluator(String, CRFClassifier<IN>, Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
CRFClassifierEvaluator(String, CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
CRFClassifierFloat<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Subclass of CRFClassifier that performs dropout feature-noisying training
CRFClassifierFloat() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
CRFClassifierFloat(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
CRFClassifierFloat(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
CRFClassifierNoisyLabel<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Subclass of CRFClassifier for modeling noisy label
CRFClassifierNoisyLabel(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
CRFClassifierNonlinear<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Subclass of CRFClassifier for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear ...].
CRFClassifierNonlinear() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
CRFClassifierNonlinear(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
CRFClassifierNonlinear(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
CRFClassifierWithDropout<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Subclass of CRFClassifier that performs dropout feature-noising training.
CRFClassifierWithDropout(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
CRFClassifierWithLOP<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Subclass of CRFClassifier for learning Logarithmic Opinion Pools.
CRFClassifierWithLOP() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
CRFClassifierWithLOP(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
CRFClassifierWithLOP(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
CRFCliqueTree<E> - Class in edu.stanford.nlp.ie.crf: Builds a CliqueTree (an array of FactorTable) and does message passing inference along it.
CRFCliqueTree(FactorTable[], Index<E>, E) - Constructor for class edu.stanford.nlp.ie.crf.CRFCliqueTree: Initialize a clique tree.
CRFDataExtractor - Class in edu.stanford.nlp.scenegraph
CRFDataExtractor() - Constructor for class edu.stanford.nlp.scenegraph.CRFDataExtractor
CRFDatum<FEAT,LAB> - Class in edu.stanford.nlp.ie.crf: The representation of Datums used internally in CRFClassifier.
CRFDatum(List<FEAT>, LAB, List<double[]>) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum: Constructs a new BasicDatum with the given features and label.
CRFFeatureExporter<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf: Exports CRF features for use with other programs.
CRFFeatureExporter(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFFeatureExporter
CRFLabel - Class in edu.stanford.nlp.ie.crf
CRFLabel(int[]) - Constructor for class edu.stanford.nlp.ie.crf.CRFLabel
CRFLogConditionalObjectiveFloatFunction - Class in edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionForLOP - Class in edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionNoisyLabel - Class in edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionWithDropout - Class in edu.stanford.nlp.ie.crf
CRFNonLinearLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
CRFNonLinearSecondOrderLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
CRForder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
crfSegmenterProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
crfToExamine - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
crfType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
CRFwindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
cross(Set<E>, Set<F>) - Static method in class edu.stanford.nlp.util.Sets: Returns the set cross product of s1 and s2, as Pairs
CROSS_OUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
crossEntropy(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Note that this implementation doesn't normalize the "from" Counter.
crosses(Constituent) - Method in class edu.stanford.nlp.trees.Constituent: Detects whether this constituent overlaps a constituent without nesting, that is, whether they "cross".
crosses(Collection<Constituent>) - Method in class edu.stanford.nlp.trees.Constituent: Detects whether this constituent overlaps any of a Collection of Constituents without nesting, that is, whether it "crosses" any of them.
crossValidate(GeneralDataset<String, String>, List<String[]>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier: Run cross-validation on a dataset, and return accuracy and macro-F1 scores.
crossValidate - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
crossValidateSetC(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory: This method will cross validate on the given data and number of folds to find the optimal C.
crossValidateSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory: Calls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int) with 5-fold cross-validation.
crossValidateSetSigma(GeneralDataset<L, F>, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory: Calls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int, Scorer, LineSearcher) with multi-class log-likelihood scoring (see MultiClassAccuracyStats) and golden-section line search (see GoldenSectionLineSearch).
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory: Sets the sigma parameter to a value that optimizes the cross-validation score given by scorer.
CrossValidateTestOptions - Class in edu.stanford.nlp.parser.dvparser
CrossValidateTestOptions() - Constructor for class edu.stanford.nlp.parser.dvparser.CrossValidateTestOptions
CrossValidator<L,F> - Class in edu.stanford.nlp.classify: This class is meant to simplify performing cross validation of classifiers for hyper-parameters.
CrossValidator(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.CrossValidator
CrossValidator(GeneralDataset<L, F>, int) - Constructor for class edu.stanford.nlp.classify.CrossValidator
CrossValidator.SavedState - Class in edu.stanford.nlp.classify
ctb_pre_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
ctb_suf_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
CtbDict - Class in edu.stanford.nlp.tagger.maxent
CTBErrorCorrectingTreeNormalizer - Class in edu.stanford.nlp.trees.international.pennchinese: This was originally written to correct a few errors Galen found in CTB3.
CTBErrorCorrectingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer: Constructor with all of the options of the other constructor false
CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer: Build a CTBErrorCorrectingTreeNormalizer.
CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese: So you can create a TreeReaderFactory using this TreeNormalizer easily by reflection.
CTBErrorCorrectingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory
CTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese: The CTBTreeReaderFactory is a factory for creating a TreeReader suitable for the Penn Chinese Treebank (CTB).
CTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
CTBunkDict - Class in edu.stanford.nlp.tagger.maxent
CUR_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
curElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
curF1 - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
CURRENCY_SYMBOL_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
CURRENCY_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
CURRENCY_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
CURRENCY_WORDS_VALUES - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
current() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: The current Redwood configuration; this is used to make incremental changes to an existing custom configuration.
CURRENT_KEY - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
CURRENT_SIEVE_FOR_TRAIN_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
currentDate() - Method in class edu.stanford.nlp.pipeline.DocDateAnnotator: helper for return current date
currentDocId - Static variable in class edu.stanford.nlp.coref.statistical.Clusterer
currentDocumentID - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
currentPatternWeights - Variable in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
currentSummary() - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
currentToken - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException: This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException: This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.ParseException: This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: This is the last token that has been consumed successfully.
custom(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
CUSTOM_ANNOTATOR_PREFIX - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
CustomAnnotationSerializer - Class in edu.stanford.nlp.pipeline: Serializes Annotation objects using our own format.
CustomAnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
CustomAnnotationSerializer(boolean, boolean) - Constructor for class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
CustomDateFormatExtractor(String, String) - Constructor for class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
customTreeVisitor - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
cutoffRelations - Variable in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: Minimum support * KL to be included in output and as feature
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats: Minimum support * KL to be included in output and as feature
cutoffTags - Static variable in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
cvAveragedModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions: Cross-validate over the number of models to average, using the dev set, to figure out which number between 1 and averagedModels we actually want to use
cwa() - Method in class edu.stanford.nlp.classify.PRCurve: confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
cwaArray() - Method in class edu.stanford.nlp.classify.PRCurve: confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
CYAN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
CyclicGraphException - Exception in edu.stanford.nlp.graph
CyclicGraphException(String, DirectedMultiGraph<?, ?>) - Constructor for exception edu.stanford.nlp.graph.CyclicGraphException

D

d - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
DAILY - Static variable in class edu.stanford.nlp.time.SUTime
dampDDStepSizeWithAlignmentProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dash() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Append '-' to the current feature name
data - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
data - Variable in class edu.stanford.nlp.classify.GeneralDataset
data - Variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
data - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction: Normally, this contains the data.
data - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
data - Variable in class edu.stanford.nlp.maxent.Problem: This is the training data.
Data - Class in edu.stanford.nlp.patterns
Data() - Constructor for class edu.stanford.nlp.patterns.Data
Data(List<XMLToAnnotation.GoldQuoteInfo>, List<Person>, Annotation) - Constructor for class edu.stanford.nlp.quoteattribution.XMLToAnnotation.Data
data() - Method in class edu.stanford.nlp.stats.DataSeries.ArrayDataSeries
data() - Method in class edu.stanford.nlp.stats.DataSeries.ListDataSeries
DATA_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
dataDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
dataDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
dataDimension() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction: Data dimension must return the size of the data used by the function.
DataFilePaths - Class in edu.stanford.nlp.util: Simple utility class: reads the environment variable in ENV_VARIABLE and provides a method that converts strings which start with that environment variable to file paths.
DataGeneric - Class in edu.stanford.nlp.maxent: A class representing a data item with an array of inputs X and a String classification Y.
DataGeneric() - Constructor for class edu.stanford.nlp.maxent.DataGeneric
DataInstance - Class in edu.stanford.nlp.patterns: It's a list of Corelabels for SurfacePattern, Dependency parse for DepPattern etc Created by sonalg on 11/1/14.
DataInstance() - Constructor for class edu.stanford.nlp.patterns.DataInstance
DataInstanceDep - Class in edu.stanford.nlp.patterns.dep: Created by sonalg on 11/1/14.
DataInstanceDep(CoreMap) - Constructor for class edu.stanford.nlp.patterns.dep.DataInstanceDep
DataInstanceSurface - Class in edu.stanford.nlp.patterns.surface: Created by sonalg on 11/1/14.
DataInstanceSurface(List<CoreLabel>) - Constructor for class edu.stanford.nlp.patterns.surface.DataInstanceSurface
dataIterable - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction: Alternatively, the data may be available from an Iterable in not yet indexed form.
DataSentsIterator(boolean) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables.DataSentsIterator
DataSeries - Interface in edu.stanford.nlp.stats: A DataSeries represents a named sequence of double values, and optionally refers to another DataSeries as its domain.
DataSeries.AbstractDataSeries - Class in edu.stanford.nlp.stats
DataSeries.ArrayDataSeries - Class in edu.stanford.nlp.stats
DataSeries.AverageDataSeries - Class in edu.stanford.nlp.stats
DataSeries.FunctionDataSeries - Class in edu.stanford.nlp.stats
DataSeries.ListDataSeries - Class in edu.stanford.nlp.stats
Dataset<L,F> - Class in edu.stanford.nlp.classify: An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of Datum objects for the purposes of training a Classifier with a ClassifierFactory.
Dataset() - Constructor for class edu.stanford.nlp.classify.Dataset
Dataset(int) - Constructor for class edu.stanford.nlp.classify.Dataset
Dataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
Dataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
Dataset(Index<L>, int[], Index<F>, int[][]) - Constructor for class edu.stanford.nlp.classify.Dataset: Constructor that fully specifies a Dataset.
Dataset(Index<L>, int[], Index<F>, int[][], int) - Constructor for class edu.stanford.nlp.classify.Dataset: Constructor that fully specifies a Dataset.
Dataset - Class in edu.stanford.nlp.parser.nndep: Defines a list of training / testing examples in multi-class classification setting.
dataset - Variable in class edu.stanford.nlp.quoteattribution.Sieves.training.SupervisedSieveTraining.FeaturesData
Dataset - Interface in edu.stanford.nlp.trees.treebank: A generic interface loading, processing, and writing a data set.
Dataset.Encoding - Enum in edu.stanford.nlp.trees.treebank
datasetAuxReaderClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
DatasetBuilder - Class in edu.stanford.nlp.coref.statistical: Produces train/dev/test sets for training coreference models with (optionally) sampling.
DatasetBuilder() - Constructor for class edu.stanford.nlp.coref.statistical.DatasetBuilder
DatasetBuilder(double, int) - Constructor for class edu.stanford.nlp.coref.statistical.DatasetBuilder
datasetFile - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
datasetReaderClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
datasetToString(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
dataSize() - Method in interface edu.stanford.nlp.optimization.SparseOnlineFunction
dataweights - Variable in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
dataWeights - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
dataweights - Variable in class edu.stanford.nlp.classify.LogisticObjectiveFunction
DataWordTag - Class in edu.stanford.nlp.tagger.maxent
DATE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
DATE_NO_HYPHENS_PATTERN - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
DATE_PATTERN1 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
DATE_PATTERN2 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
DATE_PATTERN3 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
DATE_PATTERN4 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
DATE_PATTERN5 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
DATE_PROPER_FORMAT - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
DATE_TAG - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
DATE_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
DATE_WORDS_VALUES - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
dateCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
DateTemplate - Class in edu.stanford.nlp.ie.pascal: A partial PascalTemplate.
DateTemplate(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.pascal.DateTemplate
DATETIME_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
dateTimePronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
dateTimePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
dateTimePronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
dateTimePronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
DateTreeTransformer - Class in edu.stanford.nlp.trees: Flattens the following two structures:
(NP (NP (NNP Month) (CD Day) ) (, ,) (NP (CD Year) ))
becomes
(NP (NNP Month) (CD Day) (, ,) (CD Year) )
(NP (NP (NNP Month) ) (NP (CD Year) ))
becomes
(NP (NNP Month) (CD Year))
DateTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DateTreeTransformer
Datum<L,F> - Interface in edu.stanford.nlp.ling: Interface for Objects which can be described by their features.
DAWN - Static variable in class edu.stanford.nlp.time.SUTime
DAY - Static variable in class edu.stanford.nlp.time.SUTime
day - Variable in class edu.stanford.nlp.time.SUTime.IsoDate: Day of Month
DAY_OF_HALF_MONTH - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
daysPerMonth - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
DAYTIME - Static variable in class edu.stanford.nlp.time.SUTime
DBG - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
dbLocation - Static variable in class edu.stanford.nlp.patterns.SQLConnection
dbpassword - Static variable in class edu.stanford.nlp.patterns.SQLConnection
DBTableExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
dbusername - Static variable in class edu.stanford.nlp.patterns.SQLConnection
dcoref(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Annotate for coreference (deterministic)
dcoref(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations: Annotate for coreference (deterministic)
dcorefDiscourse - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefExactString - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefHead1 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefHead2 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefHead3 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefHead4 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefPreciseConstructs - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
DcorefPronounResolver - Class in edu.stanford.nlp.scenegraph: Pronoun resolver which uses the CoreNLP deterministic coreference resolution system.
DcorefPronounResolver() - Constructor for class edu.stanford.nlp.scenegraph.DcorefPronounResolver
dcorefPronounSieve - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefRelaxedExactString - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcorefRelaxedHead - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
DcorefSieveOptions - Class in edu.stanford.nlp.coref.hybrid.sieve
DcorefSieveOptions() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DcorefSieveOptions
dcorefSpeaker - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
dcTags - Variable in class edu.stanford.nlp.parser.lexparser.Options: "double count" tags rewrites as word in PCFG and Dep parser.
deannotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
Debinarizer - Class in edu.stanford.nlp.parser.lexparser: Debinarizes a binary tree from the parser.
Debinarizer(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
Debinarizer(boolean, LabelFactory) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
debug(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
DEBUG - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
DEBUG - Static variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
DEBUG - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
debug - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Debug flag for learning patterns.
DEBUG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
debug(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
debug(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
DEBUG2 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
DEBUG3 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
DEBUG_LEXICON - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
DEBUG_LEXICON_SCORE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
debugf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Log to the debug channel.
debugLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Run Redwood with SLF4J if available, otherwise with stderr logging at the debug (everything) level.
debugLine(String, Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
debugOutputEpochs - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
debugOutputFrequency - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: If larger than 0, the parser may choose to output debug information every X seconds, X iterations, or some other similar metric
debugPrint(PrintWriter) - Method in class edu.stanford.nlp.international.arabic.ArabicVerbStemBank
debugPrintMentions(PrintStream, String, List<List<Mention>>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
debugVector(ConcatVector, BufferedWriter) - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace: This prints out a ConcatVector by mapping to the namespace, to make debugging learning algorithms easier.
DECADE - Static variable in class edu.stanford.nlp.time.SUTime
DecadeOfCentury - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
Decades - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
decayLearningRate - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions: If positive, every 10 iterations, multiply the learning rate by this amount.
DECEMBER - Static variable in class edu.stanford.nlp.time.SUTime
decimate(Writer, Writer, Writer) - Method in class edu.stanford.nlp.trees.Treebank: Divide a Treebank into 3, by taking every 9th sentence for the dev set and every 10th for the test set.
DecimatedArabicDataset - Class in edu.stanford.nlp.international.arabic.pipeline: Decimates a set of ATB parse trees.
DecimatedArabicDataset() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset
DecimatedArabicDataset.ArabicTreeDecimatedNormalizer - Class in edu.stanford.nlp.international.arabic.pipeline
DecisionTree - Class in edu.stanford.nlp.coref.hybrid.rf
DecisionTree(Index<String>) - Constructor for class edu.stanford.nlp.coref.hybrid.rf.DecisionTree
DecisionTreeNode - Class in edu.stanford.nlp.coref.hybrid.rf
DecisionTreeNode(int, float) - Constructor for class edu.stanford.nlp.coref.hybrid.rf.DecisionTreeNode
DecisionTreeNode(int, float, DecisionTreeNode[]) - Constructor for class edu.stanford.nlp.coref.hybrid.rf.DecisionTreeNode
DECNUM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
decodeArray(String) - Static method in class edu.stanford.nlp.util.StringUtils: Decode an array encoded as a String.
decodeMap(String) - Static method in class edu.stanford.nlp.util.StringUtils: Decode a map encoded as a string.
decreaseKey(E) - Method in class edu.stanford.nlp.util.ArrayHeap: Changes the position of an element o in the heap based on a change in the ordering of o.
decreaseKey(E) - Method in interface edu.stanford.nlp.util.Heap: Raises the priority of an object in the heap.
decreasePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Demotes a key in the queue, adding it if it wasn't there already.
decrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction: decrementBatch - This decrements the curElement variable by the amount batchSize.
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
decrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter: Decrements the count for this key by the given value.
decrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter: Decrements the count for this key by 1.0.
decrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter: Decrements the count for this key by the given value.
decrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter: Decrements the count for this key by 1.0.
decrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts the given count from the current count for the given key.
decrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts 1 from the count for the given key.
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
decrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
decrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
decrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
decrementCount(E, double) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
decrementCount(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
decrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts the given count from the current counts for each of the given keys.
decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Subtracts 1 from the counts of each of the given keys.
deepClone() - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
deepCopy(List<CoreLabel>) - Static method in class edu.stanford.nlp.ling.CoreUtilities
deepCopy(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
deepCopy() - Method in class edu.stanford.nlp.trees.Tree: Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree: Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree: Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
deepCopyFromGraphs(List<SemanticGraph>, List<Integer>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Like makeFromGraphs, but it makes a deep copy of the graphs and renumbers the index words.
deepMentionCopy(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils: Creates a deep copy of the given dataset with new lists for all mentions (entity, relation, event)
DeepTree - Class in edu.stanford.nlp.trees: A tree combined with a map from subtree to SimpleMatrix vectors.
DeepTree(Tree, IdentityHashMap<Tree, SimpleMatrix>, double) - Constructor for class edu.stanford.nlp.trees.DeepTree
DEFAULT - Static variable in class edu.stanford.nlp.naturalli.Polarity: The default (very permissive) polarity.
DEFAULT_AGGREGATOR - Static variable in class edu.stanford.nlp.pipeline.CoreMapAggregator
DEFAULT_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
DEFAULT_ALLOW_FLAWS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DEFAULT_BATCH_SIZE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training using batches of trees, such as in the DVParser, how many trees to use in one batch
DEFAULT_BEAM_SIZE - Static variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
DEFAULT_BOUNDARY_FOLLOWERS_REGEX - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor: Pe = Close_Punctuation (close brackets), Pf = Final_Punctuation (close quotes); add straight quotes, PTB escaped right brackets (-RRB-, etc.), greater than as close angle bracket, and those forms in full width range.
DEFAULT_BOUNDARY_REGEX - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor: Default pattern for sentence ending punctuation.
DEFAULT_CHECKER - Static variable in class edu.stanford.nlp.stats.EquivalenceClassEval: A default equality checker that uses Object.equals(java.lang.Object) to determine equality.
DEFAULT_CHINESE_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
DEFAULT_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.crf.CRFClassifier: Name of default serialized classifier resource to look for in a jar file.
DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.ner.CMMClassifier: Default place to look in Jar file for classifier.
DEFAULT_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
DEFAULT_DATE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_DCOREF_ANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_COUNTRIES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_DEMONYM - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_DICT1 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_DICT2 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_DICT3 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_DICT4 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_GENDER_NUMBER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_INANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_NE_SIGNATURES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_SINGLETON_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_STATES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DCOREF_STATES_AND_PROVINCES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DELTA_MARGIN - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_DEPENDENCY_PARSER_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_DISTRIBUTION_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
DEFAULT_DOC_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_DOCID_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_DOCTYPE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_ENCODING - Static variable in interface edu.stanford.nlp.trees.TreebankLanguagePack: Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
DEFAULT_ENTITY_MODEL_PATH - Static variable in class edu.stanford.nlp.scenegraph.BoWSceneGraphParser
DEFAULT_EQUIVALENCE_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
DEFAULT_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
DEFAULT_EXTRACTOR_PRESENT - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
DEFAULT_FEATURIZER - Static variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem: The default featurizer to use during training.
DEFAULT_FORMAT - Static variable in class edu.stanford.nlp.ling.CoreLabel
DEFAULT_GENDER_FIRST_NAMES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
DEFAULT_GOLD_FILENAME - Static variable in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
DEFAULT_HOME - Static variable in class edu.stanford.nlp.wordseg.NonDict2
DEFAULT_JAR_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
DEFAULT_K_BEST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, how many of the top K trees to analyze from the underlying parser
DEFAULT_KBP_CLASSIFIER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_KBP_REGEXNER_CASED - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_KBP_REGEXNER_CASELESS - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_KBP_SEMGREX_DIR - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_KBP_TOKENSREGEX_DIR - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_KBP_TOKENSREGEX_NER_SETTINGS - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_LEARNING_RATE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_MERGE_ACTION - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
DEFAULT_MODEL - Static variable in class edu.stanford.nlp.parser.nndep.DependencyParser
DEFAULT_MODEL_BIAS - Static variable in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
DEFAULT_MODEL_PATH - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
DEFAULT_MODEL_PATH - Static variable in class edu.stanford.nlp.scenegraph.BoWSceneGraphParser
DEFAULT_MSSIEVES - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
DEFAULT_NATURALLI_AFFINITIES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NEGRA_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
DEFAULT_NER_CONLL_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NER_GAZETTE_MAPPING - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NER_MUC_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NER_THREECLASS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NEWLINE_IS_SENTENCE_BREAK - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
DEFAULT_NFL_ENTITY_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NFL_GAZETTEER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NFL_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_NLP_GROUP_MODEL_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
DEFAULT_NUMERIC_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
DEFAULT_NUMERIC_TOKENS_AGGREGATOR - Static variable in class edu.stanford.nlp.pipeline.CoreMapAggregator
DEFAULT_NUMERIC_TOKENS_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
DEFAULT_OPENIE_CLAUSE_SEARCHER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
DEFAULT_OUTPUT_FORMAT - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
DEFAULT_PARSER_FILE - Static variable in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
DEFAULT_PARSER_LOC - Static variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
DEFAULT_PARSER_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_PASS_DOWN_PROPERTIES - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
DEFAULT_PLAIN_TEXT_READER - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DEFAULT_POS_MATCH_TYPE - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
DEFAULT_POS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_QMSIEVES - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
DEFAULT_QN_ITERATIONS_PER_BATCH - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training the DV parsing method, how many iterations to loop for one batch of trees
DEFAULT_QUOTE_AUTHOR_ATTRIBUTES - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_QUOTE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_REG_L1 - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
DEFAULT_REGCOST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: regularization constant
DEFAULT_REGEXNER_RULES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_REQUIREMENTS - Static variable in interface edu.stanford.nlp.pipeline.Annotator: A mapping from an annotator to a its default transitive dependencies.
DEFAULT_SCALING_FOR_INIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_SECTION_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_SECTION_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_SENTENCE_BOUNDARIES_TO_DISCARD - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
DEFAULT_SENTENCE_ENDERS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_SENTENCE_TABLE - Static variable in interface edu.stanford.nlp.process.TSVSentenceProcessor: The list of fields actually in the sentence table being passed as a query to TSVSentenceProcessor.
DEFAULT_SINGLE_SENTENCE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_SPEAKER_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_STALLED_ITERATION_LIMIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_SUP_RELATION_EX_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_TEST_FILENAME - Static variable in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
DEFAULT_TIME_EXPRESSION_EXTRACTOR_CLASS - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
DEFAULT_TOKEN_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_TRAINING_ITERATIONS - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: When training a parsing method where the training has a (max) number of iterations, how many iterations to loop
DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
DEFAULT_TRUECASE_DISAMBIGUATION_LIST - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_TRUECASE_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_TSURGEON_FILE - Static variable in class edu.stanford.nlp.trees.UniversalPOSMapper
DEFAULT_UNK_WORD - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DEFAULT_USE_GOOD_TURNING_UNKNOWN_WORD_MODEL - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Parameters specific for creating a ChineseLexicon
DEFAULT_UTTERANCE_TURN_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
DEFAULT_VALID_POS - Static variable in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
DEFAULT_WIKIDICT_TSV - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
DEFAULT_WORD_VECTOR_FILE - Static variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions: RS: file for Turian's word vectors The default value is an example of size 25 word vectors on the nlp machines
DEFAULT_XML_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
defaultChecker() - Static method in class edu.stanford.nlp.stats.EquivalenceClassEval
defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.common.ParserGrammar: Returns a set of options which should be set by default when used in corenlp.
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
defaultCoreNLPFlags() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: When run inside StanfordCoreNLP, which flags should be used by default.
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
defaultCost() - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
defaultDelimitRegExIterator(Reader, String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
defaultDelimitRegExIteratorFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
defaultEncoding - Static variable in class edu.stanford.nlp.io.IOUtils
defaultFile - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Output to a file.
defaultHeader - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
defaultLeftRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: These are built automatically from categoriesToAvoid and used in a fairly different fashion from defaultRule (above).
DefaultLexicalMapper - Class in edu.stanford.nlp.international.arabic.pipeline: Applies a default set of lexical transformations that have been empirically validated in various Arabic tasks.
DefaultLexicalMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
DefaultMapper - Class in edu.stanford.nlp.trees.treebank
DefaultMapper() - Constructor for class edu.stanford.nlp.trees.treebank.DefaultMapper
defaultNestedResultsAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Annotation key to use during composite phase for storing matched sequences and to match against.
DefaultPaths - Class in edu.stanford.nlp.pipeline: Default model paths for StanfordCoreNLP All these paths point to files distributed with the model jar file (stanford-corenlp-models-*.jar)
defaultProps - Variable in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.CoreNLPHandler: The default properties to use in the absence of anything sent by the client.
defaultReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: This is the DocumentReaderAndWriter used for reading training and testing files.
defaultResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env: List of keys indicating what fields should be annotated for the aggregated CoreMap.
defaultReturnValue() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns the default return value.
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.Counter: Returns the default return value.
defaultReturnValue() - Method in class edu.stanford.nlp.stats.IntCounter
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
defaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
defaultReturnValue(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
defaultReturnValue() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
defaultRightRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Default direction if no rule is found for category (the head/parent).
defaults - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Default parameters (used when reading in rules for SequenceMatchRules.
defaultStringMatchFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Default flags to use for string literal match
defaultStringPatternFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Default flags to use for string regular expressions match
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams: Return a default sentence for the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Return a default sentence for the language (for testing)
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams: Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams: Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams: Return a default sentence for the language (for testing)
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
defaultTestSentence() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams: Returns the first sentence of TueBaDZ.
DefaultTeXHyphenData - Class in edu.stanford.nlp.ie.pascal: Default TeX hyphenation data, as borrowed from the TeX distribution.
DefaultTeXHyphenData() - Constructor for class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
defaultTextAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Annotation key to use to getting text (default is CoreAnnotations.TextAnnotation.class)
defaultTokensAggregators - Variable in class edu.stanford.nlp.ling.tokensregex.Env: How should the tokens be aggregated when collapsing a sequence of tokens into one CoreMap
defaultTokensAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Annotation key to use to getting tokens (default is CoreAnnotations.TokensAnnotation.class)
defaultTokensResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env: List of keys indicating the per-token annotations (default is null).
defaultToPreserveSpacing(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
defaultUnit - Variable in class edu.stanford.nlp.ie.qe.Unit
defaultUnitScale - Variable in class edu.stanford.nlp.ie.qe.Unit
defaultValue() - Method in class edu.stanford.nlp.util.PropertiesUtils.Property
dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
DELETE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
DELETE_EXCEPT_BETWEEN_ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
deleteCost(Object) - Method in class edu.stanford.nlp.util.EditDistance
deleteDir(File) - Static method in class edu.stanford.nlp.io.FileSystem: Recursively deletes a directory, including all files and sub-directories.
deleteDirRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils: Given a filepath, delete all files in the directory recursively
deleteDuplicateEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: Deletes all duplicate edges.
deleteDuplicateEdges() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Delete all duplicate edges.
DeleteGraphFromNode - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon: This destroys the subgraph starting from the given node.
DeleteGraphFromNode(String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
DeleteLeaf - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon: This action removes all incoming edges for the given node.
DeleteLeaf(String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteLeaf
deleteMention(CorefChain.CorefMention) - Method in class edu.stanford.nlp.coref.data.CorefChain: Delete a mention from this coreference chain.
deleteMention(CorefChain.CorefMention) - Method in class edu.stanford.nlp.dcoref.CorefChain: Delete a mention from this coreference chain.
deleteOutofRange(Counter<E>, int, int) - Static method in class edu.stanford.nlp.stats.Counters: Delete 'top' and 'bottom' number of elements from the top and bottom respectively
deletePhrase(CandidatePhrase) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
deleteRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils: Delete this file; or, if it is a directory, delete this directory and all its contents.
deleteRelation - Variable in enum edu.stanford.nlp.naturalli.Operator
deleteSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
deletionProbability(String) - Method in class edu.stanford.nlp.naturalli.NaturalLogicWeights
deletionProbability(SemanticGraphEdge, Iterable<SemanticGraphEdge>) - Method in class edu.stanford.nlp.naturalli.NaturalLogicWeights
DelimitRegExIterator<T> - Class in edu.stanford.nlp.objectbank: An Iterator that reads the contents of a Reader, delimited by the specified delimiter, and then subsequently processed by an Function to produce Objects of type T.
DelimitRegExIterator(Reader, String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
DelimitRegExIterator.DelimitRegExIteratorFactory<T> - Class in edu.stanford.nlp.objectbank
DelimitRegExIteratorFactory(String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
DeltaCollectionValuedMap<K,V> - Class in edu.stanford.nlp.util: Implementation of CollectionValuedMap that appears to store an "original" map and changes to that map.
DeltaCollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaCollectionValuedMap
deltaCopy() - Method in class edu.stanford.nlp.util.CollectionValuedMap: Creates a "delta copy" of this Map, where only the differences from the original Map are represented.
deltaDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
deltaEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
DeltaIndex<E> - Class in edu.stanford.nlp.util: A class that has a backing index, such as a hash index you don't want changed, and another index which will hold extra entries that get added during the life of the index.
DeltaIndex(Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
DeltaIndex(Index<E>, Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
DeltaMap<K,V> - Class in edu.stanford.nlp.util: A Map which wraps an original Map, and only stores the changes (deltas) from the original Map.
DeltaMap(Map<K, V>, MapFactory<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap: This is very cheap.
DeltaMap(Map<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
deltaMargin - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: How much to penalize the wrong trees for how different they are from the gold tree when training
dem1 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
dem2 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
dem3 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
dem4 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
dem5 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
dem6 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
dem7 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
dem8 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
DEMONYM_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
DEMONYM_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
demonymSet - Variable in class edu.stanford.nlp.coref.data.Dictionaries
demonymSet - Variable in class edu.stanford.nlp.dcoref.Dictionaries
demoteQuantMod - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
dep - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
dep() - Method in class edu.stanford.nlp.trees.TypedDependency
DEP_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
DEP_MODEL - Static variable in class edu.stanford.nlp.scenegraph.SceneGraphImageDependencyParser
DEP_NODENAME_ARG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
dependencies(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Annotate dependency relations in sentences
dependencies(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations: Annotate dependency relations in sentences
Dependencies - Class in edu.stanford.nlp.trees: Utilities for Dependency objects.
dependencies() - Method in class edu.stanford.nlp.trees.Tree: Return a Set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
dependencies(Predicate<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
dependencies(Predicate<Dependency<Label, Label, Object>>, boolean, boolean, boolean) - Method in class edu.stanford.nlp.trees.Tree: Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
Dependencies.DependentPuncTagRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
Dependencies.DependentPuncWordRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
dependenciesToCoNLLXString(GrammaticalStructure, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils: Calls dependenciesToCoNLLXString with the basic dependencies from a grammatical structure.
dependenciesToCoNLLXString(Collection<TypedDependency>, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils: Returns a dependency tree in CoNNL-X format.
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree) - Method in interface edu.stanford.nlp.trees.DependencyPrinter
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
dependency - Variable in class edu.stanford.nlp.dcoref.Mention
Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees: An individual dependency between a governor and a dependent.
DependencyAnalyzer - Class in edu.stanford.nlp.misc: Parses the output of DependencyExtractor into a tree, and constructs transitive dependency closures of any set of classes.
DependencyAnalyzer(String) - Constructor for class edu.stanford.nlp.misc.DependencyAnalyzer: Constructs a DependencyAnalyzer from the output of DependencyExtractor.
DependencyAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DependencyAnnotation: Deprecated.
DependencyCorefMentionFinder - Class in edu.stanford.nlp.coref.md
DependencyCorefMentionFinder(Properties) - Constructor for class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder
dependencyCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor: This is where all dependencies are stored (using full tag space).
dependencyFactory() - Method in class edu.stanford.nlp.trees.CollinsDependency
dependencyFactory() - Method in interface edu.stanford.nlp.trees.Dependency: Provide a factory for this kind of dependency
DependencyFactory - Interface in edu.stanford.nlp.trees: A factory for dependencies of a certain type.
dependencyFactory() - Method in class edu.stanford.nlp.trees.NamedDependency
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedDependency
dependencyFeatures - Static variable in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
DependencyGrammar - Interface in edu.stanford.nlp.parser.lexparser: An interface for DependencyGrammars.
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
dependencyGraph(Properties, SemanticGraphFactory.Mode) - Method in class edu.stanford.nlp.simple.Sentence: Returns the dependency graph of the sentence, as a raw SemanticGraph object.
dependencyGraph(Properties) - Method in class edu.stanford.nlp.simple.Sentence
dependencyGraph() - Method in class edu.stanford.nlp.simple.Sentence
dependencyGraph(SemanticGraphFactory.Mode) - Method in class edu.stanford.nlp.simple.Sentence
dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies: A Comparator for Dependencies based on their dependent annotation.
dependencyParse() - Method in class edu.stanford.nlp.pipeline.CoreSentence: dependency parse
DependencyParseAnnotator - Class in edu.stanford.nlp.pipeline: This class adds dependency parse information to an Annotation.
DependencyParseAnnotator() - Constructor for class edu.stanford.nlp.pipeline.DependencyParseAnnotator
DependencyParseAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.DependencyParseAnnotator
DependencyParser - Class in edu.stanford.nlp.parser.nndep: This class defines a transition-based dependency parser which makes use of a classifier powered by a neural network.
DependencyParser(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.DependencyParser
DependencyParserCoreNLPDemo - Class in edu.stanford.nlp.parser.nndep.demo: Demonstrates how to use the NN dependency parser via a CoreNLP pipeline.
DependencyParserDemo - Class in edu.stanford.nlp.parser.nndep.demo: Demonstrates how to first use the tagger, then use the NN dependency parser.
dependencyParses(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.DependencyParseSieve
DependencyParseSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.QMSieves
DependencyParseSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.DependencyParseSieve: A logger for this class
dependencyPath(List<SemanticGraphEdge>, IndexedWord) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
dependencyPathAsList(List<SemanticGraphEdge>, IndexedWord, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
dependencyPathBetween(int, int, Optional<Function<Sentence, List<String>>>) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms: Find the dependency path between two words in a sentence.
dependencyPathBetween(int, int) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
DependencyPrinter - Interface in edu.stanford.nlp.trees
DependencyReader - Interface in edu.stanford.nlp.trees
DependencyScoring - Class in edu.stanford.nlp.trees: Scoring of typed dependencies
DependencyScoring(List<Collection<TypedDependency>>, boolean) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
DependencyScoring(String, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
DependencyScoring(String) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
DependencyScoring.Score - Class in edu.stanford.nlp.trees
dependencyTreePrinter - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options: How to print a dependency tree by default for display.
DependencyTreeTransformer - Class in edu.stanford.nlp.trees: Transforms an English structure parse tree in order to get the dependencies right:
-- put a ROOT node
-- remove NONE nodes
-- retain only NP-TMP, NP-ADV, UCP-TMP tags
The UCP- tags will later be turned into NP- anyway
(Note [cdm]: A lot of this overlaps other existing functionality in trees.
DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
dependencyType - Variable in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory: Which dependencies to use for feature extraction
DependencyTyper<T> - Interface in edu.stanford.nlp.trees: A generified interface for making some kind of dependency object between a head and dependent.
dependent() - Method in class edu.stanford.nlp.trees.CollinsDependency
dependent() - Method in interface edu.stanford.nlp.trees.Dependency: Describes the dependent (argument/modifier) of the dependency relation.
DEPENDENT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation: The "dependent" grammatical relation, which is the inverse of "governor".
dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
DependentPuncTagRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
DependentPuncWordRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
dependents - Variable in class edu.stanford.nlp.coref.data.Mention
dependents - Variable in class edu.stanford.nlp.dcoref.Mention
DEPENDENTS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
dependentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
dependingVerb - Variable in class edu.stanford.nlp.coref.data.Mention
dependingVerb - Variable in class edu.stanford.nlp.dcoref.Mention
DEPENDINGVERB_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
DepIndexComparator() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
depName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
depName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge
depNodeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReattachNamedEdge
DepPattern - Class in edu.stanford.nlp.patterns.dep: Created by sonalg on 10/31/14.
DepPattern(List<Pair<Token, GrammaticalRelation>>) - Constructor for class edu.stanford.nlp.patterns.dep.DepPattern
DepPattern(Token, GrammaticalRelation) - Constructor for class edu.stanford.nlp.patterns.dep.DepPattern
DepPatternFactory - Class in edu.stanford.nlp.patterns.dep: Created by Sonal Gupta on 10/31/14.
DepPatternFactory() - Constructor for class edu.stanford.nlp.patterns.dep.DepPatternFactory
depth - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface: How far down we are in the nested tags.
depth() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns the depth of the GeneralizedCounter (i.e., the dimension of the distribution).
depth() - Method in class edu.stanford.nlp.trees.Tree: Finds the depth of the tree.
depth(Tree) - Method in class edu.stanford.nlp.trees.Tree: Finds the distance from this node to the specified node.
depth - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
depthFirstSearch(boolean, StringBuilder) - Method in class edu.stanford.nlp.fsm.TransducerGraph
depWeight - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Weighting on dependency log probs.
dereference() - Method in class edu.stanford.nlp.util.Pointer: Dereference the pointer.
derivative(double, double) - Method in interface edu.stanford.nlp.coref.statistical.SimpleLinearClassifier.Loss
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
derivativeAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
derivativeAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
derivativeAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
derivativeAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
derivativeAt(float[]) - Method in interface edu.stanford.nlp.optimization.DiffFloatFunction: Returns the first-derivative vector at the input location.
derivativeAt(double[]) - Method in interface edu.stanford.nlp.optimization.DiffFunction: Returns the first-derivative vector at the input location.
derivativeAt(Counter<K>, int[]) - Method in interface edu.stanford.nlp.optimization.SparseOnlineFunction
derivativeNumerator - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction: This is used to cache the numerator in batch methods.
descendants(SemanticGraph, IndexedWord, List<String>, List<IndexedWord>, boolean, Predicate<CoreLabel>, CollectionValuedMap<Integer, String>) - Static method in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
descendants(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the set of descendants governed by this node in the graph.
descendantsTabuRelns(SemanticGraph, IndexedWord, Collection<GrammaticalRelation>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
descendantsTabuTestAndRelns(SemanticGraph, IndexedWord, Collection<GrammaticalRelation>, Predicate<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
descendantsTabuTestAndRelns(SemanticGraph, IndexedWord, Collection<IndexedWord>, Collection<GrammaticalRelation>, Predicate<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
descendantsTabuTestAndRelns(SemanticGraph, IndexedWord, Collection<IndexedWord>, Collection<GrammaticalRelation>, BiPredicate<IndexedWord, SemanticGraph>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.trees.DeepTree: A comparator that can be used with Collections.sort() that puts the highest scoring tree first
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
describeDistsimLexicon() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
description - Variable in class edu.stanford.nlp.optimization.CmdEvaluator
DescriptionPattern - Class in edu.stanford.nlp.trees.tregex
DescriptionPattern(Relation, boolean, String, String, boolean, Function<String, String>, List<Pair<Integer, String>>, boolean, String) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
DescriptionPattern(Relation, DescriptionPattern) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
deserialize(String) - Static method in class edu.stanford.nlp.neural.VectorMap: Read word vectors from a file or classpath or url.
deserialize(InputStream) - Static method in class edu.stanford.nlp.neural.VectorMap: Read word vectors from an input stream.
deserialize(InputStream) - Static method in class edu.stanford.nlp.simple.Document: Read a document from an input stream.
deserialize(InputStream) - Static method in class edu.stanford.nlp.simple.Sentence: Read a sentence from an input stream.
deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
deserializeStringCounter(String) - Static method in class edu.stanford.nlp.stats.Counters: Read a Counter from a serialized file
detectHeadToken(AceDocument) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention: Detects the head word of this mention Heuristic: (a) the last token in mHead, if there are no prepositions (b) the last word before the first preposition Note: the mHead must be already matched against tokens!
determineEntityMentionConfidences(CoreMap) - Static method in class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
determineHead(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder: Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
determineHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder: Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder: Determine which daughter of the current parse tree is the head given the parent of the tree.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
determineHead(Tree) - Method in class edu.stanford.nlp.trees.RightHeadFinder
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.RightHeadFinder
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder: Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder: Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder: Determine which daughter of the current parse tree is the head.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder: Determine which daughter of the current parse tree is the head.
determineNumFields(String, String) - Static method in class edu.stanford.nlp.io.RecordIterator: A static convenience method that tells you how many fields are in the first line of the specified file, using the specified regexp as delimiter.
determineNumFields(String) - Static method in class edu.stanford.nlp.io.RecordIterator: A static convenience method that tells you how many fields are in the first line of the specified file, using the default whitespace delimiter.
DETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "determiner" grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "determiner modifier" grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "determiner modifier" (det) grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
DETERMINER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "determiner" grammatical relation.
determineRelFlags(CoreMap, TimeExpression) - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
determineRelFlags(CoreMap, TimeExpression) - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns: Determine how date/times should be resolved for the given temporal expression and its context
determiners - Variable in class edu.stanford.nlp.coref.data.Dictionaries
determiners - Variable in class edu.stanford.nlp.dcoref.Dictionaries
determinersEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
determinersZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
DeterministicCorefAnnotator - Class in edu.stanford.nlp.pipeline: Implements the Annotator for the new deterministic coreference resolution system.
DeterministicCorefAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
DeterministicCorefSieve - Class in edu.stanford.nlp.coref.hybrid.sieve: Base class for a Coref Sieve.
DeterministicCorefSieve() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
DeterministicCorefSieve(Properties) - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
DeterministicCorefSieve - Class in edu.stanford.nlp.dcoref.sievepasses: Base class for a Coref Sieve.
DeterministicCorefSieve() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve: Initialize flagSet
DeterministicSpeakerSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.MSSieves: Created by mjfang on 7/8/16.
DeterministicSpeakerSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.DeterministicSpeakerSieve
devFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
df - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
DFSA<T,S> - Class in edu.stanford.nlp.fsm: DFSA: A class for representing a deterministic finite state automaton without epsilon transitions.
DFSA(DFSAState<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSA
DFSA(DFSAState<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSA
DFSA(Object) - Constructor for class edu.stanford.nlp.fsm.DFSA
dfsa() - Method in class edu.stanford.nlp.fsm.DFSAState
DFSAMinimizer - Class in edu.stanford.nlp.fsm: DFSAMinimizer minimizes (unweighted) deterministic finite state automata.
DFSAState<T,S> - Class in edu.stanford.nlp.fsm: DFSAState represents the state of a deterministic finite state automaton without epsilon transitions.
DFSAState(S, DFSA<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSAState
DFSAState(S, DFSA<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSAState
DFSATransition<T,S> - Class in edu.stanford.nlp.fsm: DFSATransition represents a transition in a weighted finite state transducer.
DFSATransition(Object, DFSAState<T, S>, DFSAState<T, S>, T, Object, double) - Constructor for class edu.stanford.nlp.fsm.DFSATransition
dg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
dg - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
dg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
diag(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath: Returns diagonal elements of the given (square) matrix.
diag - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
diag - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
dict - Variable in class edu.stanford.nlp.tagger.maxent.DictionaryExtractor: A pointer to the creating / owning tagger's dictionary.
dict2name - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags: if using dict2 in a segmenter, load it with this filename
DICT_LIST_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
DICT_LIST_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
DICT_PMI_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
DICT_PMI_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
Dictionaries - Class in edu.stanford.nlp.coref.data: Stores various data used for coreference.
Dictionaries(Properties) - Constructor for class edu.stanford.nlp.coref.data.Dictionaries
Dictionaries(String, String, String, String, String, String, String, String, String, String, String, String, String, boolean, String[], String, String) - Constructor for class edu.stanford.nlp.coref.data.Dictionaries
Dictionaries() - Constructor for class edu.stanford.nlp.coref.data.Dictionaries
dictionaries - Variable in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
dictionaries() - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
Dictionaries - Class in edu.stanford.nlp.dcoref: Provides accessors for various grammatical, semantic, and world knowledge lexicons and word lists primarily used by the Sieve coreference system, but sometimes also drawn on from other code.
Dictionaries(Properties) - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
Dictionaries(String, String, String, String, String, String, String, String, String, String, String, String, boolean, String[], String, String) - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
Dictionaries() - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
dictionaries - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
dictionaries() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Dictionaries.Animacy - Enum in edu.stanford.nlp.coref.data
Dictionaries.Animacy - Enum in edu.stanford.nlp.dcoref
Dictionaries.Gender - Enum in edu.stanford.nlp.coref.data
Dictionaries.Gender - Enum in edu.stanford.nlp.dcoref
Dictionaries.MentionType - Enum in edu.stanford.nlp.coref.data
Dictionaries.MentionType - Enum in edu.stanford.nlp.dcoref
Dictionaries.Number - Enum in edu.stanford.nlp.coref.data
Dictionaries.Number - Enum in edu.stanford.nlp.dcoref
Dictionaries.Person - Enum in edu.stanford.nlp.coref.data
Dictionaries.Person - Enum in edu.stanford.nlp.dcoref
dictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Dictionary - Class in edu.stanford.nlp.tagger.maxent: Maintains a map from words to tags and their counts.
Dictionary() - Constructor for class edu.stanford.nlp.tagger.maxent.Dictionary
dictionary2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DictionaryExtractor - Class in edu.stanford.nlp.tagger.maxent: This class is the same as a regular Extractor, but keeps a pointer to the tagger's dictionary as well.
DictionaryExtractor() - Constructor for class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
dictOddsWeights - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
dictScore - Variable in class edu.stanford.nlp.coref.data.Dictionaries
diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
diff(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns all objects in list1 that are not in list2.
diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets: Returns the difference of sets s1 and s2.
diffAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns all objects in list1 that are not in list2.
diffEdges(Collection<SemanticGraphEdge>, Collection<SemanticGraphEdge>, SemanticGraph, SemanticGraph, ISemanticGraphEdgeEql) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given two iterable sequences of edges, returns a pair containing the set of edges in the first graph not in the second, and edges in the second not in the first.
difference(Collection<TransducerGraph.Arc>, Collection<TransducerGraph.Arc>) - Static method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
difference(Collection, Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
difference(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
DiffFloatFunction - Interface in edu.stanford.nlp.optimization: An interface for once-differentiable double-valued functions over double arrays.
DiffFunction - Interface in edu.stanford.nlp.optimization: An interface for once-differentiable double-valued functions over double arrays.
DIGIT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
DIGITSEQ - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
DijkstraShortestPath - Class in edu.stanford.nlp.graph
DIM - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
dimensions - Variable in class edu.stanford.nlp.loglinear.model.NDArrayDoubles
DIMENSIONSIZE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
dimVector - Variable in class edu.stanford.nlp.coref.data.Dictionaries
DINNERTIME - Static variable in class edu.stanford.nlp.time.SUTime
DIR - Static variable in class edu.stanford.nlp.ie.KBPSemgrexExtractor
DIR - Static variable in class edu.stanford.nlp.ie.KBPTokensregexExtractor
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "direct object" grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "direct object" grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "direct object" (dobj) grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "direct object" grammatical relation.
DIRECTED_QUOTES - Static variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
DirectedEdge<V,E> - Class in edu.stanford.nlp.graph
DirectedEdge(E, V, V) - Constructor for class edu.stanford.nlp.graph.DirectedEdge
DirectedMultiGraph<V,E> - Class in edu.stanford.nlp.graph: Simple graph library; this is directed for now.
DirectedMultiGraph() - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
DirectedMultiGraph(MapFactory<V, Map<V, List<E>>>, MapFactory<V, List<E>>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
DirectedMultiGraph(DirectedMultiGraph<V, E>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph: Creates a copy of the given graph.
directional - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
directional - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor: Whether left and right is distinguished.
directional - Variable in class edu.stanford.nlp.parser.lexparser.Options: Whether dependency grammar considers left/right direction.
Dirichlet<E> - Class in edu.stanford.nlp.stats: simple dirichlet distribution.
Dirichlet(Counter<E>) - Constructor for class edu.stanford.nlp.stats.Dirichlet
DirichletProcess<E> - Class in edu.stanford.nlp.stats
DirichletProcess(ProbabilityDistribution<E>, double) - Constructor for class edu.stanford.nlp.stats.DirichletProcess
disable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser: Disable tracing.
DisabledPreferences - Class in edu.stanford.nlp.util: A do-nothing Preferences implementation so that we can avoid the hassles of the JVM Preference implementations.
DisabledPreferences() - Constructor for class edu.stanford.nlp.util.DisabledPreferences
DisabledPreferencesFactory - Class in edu.stanford.nlp.util: Returns do-nothing Preferences implementation.
DisabledPreferencesFactory() - Constructor for class edu.stanford.nlp.util.DisabledPreferencesFactory
disableWarnings() - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper: Disable warnings generated when tokens are escaped.
disallowedPrefixes(String[]) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
disambiguatePersonalPronoun(SpanishVerbStripper.StrippedVerb, int, String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator: Determine whether the given clitic pronoun is an indirect object pronoun or a reflexive pronoun.
discardFrags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
discardMoreSpecificFields(Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
discardMoreSpecificFields(Partial, DurationFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
discardMoreSpecificFields(Period, DurationFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
DISCOURSE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "discourse" (discourse) grammatical relation.
DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "discourse element" grammatical relation.
DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "discourse element" grammatical relation.
DiscourseMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
DiscourseMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DiscourseMatch
DiscourseMatch - Class in edu.stanford.nlp.dcoref.sievepasses
DiscourseMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.DiscourseMatch
discoverEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
discoverHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
discoverItem(Item) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
discretizeCompute(DoubleUnaryOperator, int, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
DisjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
DisjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
DisjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
DisjointSet<T> - Interface in edu.stanford.nlp.util: Disjoint set interface.
disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Allows you to read in trees from the source you want.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Uses a DiskTreebank with a CHTBTokenizer and a BobChrisTreeNormalizer.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams: Allows you to read in trees from the source you want.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
diskTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: returns a DiskTreebank appropriate to the treebank source
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
DiskTreebank - Class in edu.stanford.nlp.trees: A DiskTreebank is a Collection of Trees.
DiskTreebank() - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new DiskTreebank.
DiskTreebank(String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new treebank, set the encoding for file access.
DiskTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new DiskTreebank.
DiskTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new DiskTreebank.
DiskTreebank(int) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new Treebank.
DiskTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank: Create a new Treebank.
DISLOCATED - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
dispatchable(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger: Returns true if an object has special logic for pretty logging (e.g.
display() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken: Pretty display
display(boolean) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
display(boolean, boolean) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
display() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Display (write to stderr) language-specific settings.
display() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
display() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.Options
display() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
display() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
display() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
display() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: display language-specific settings
display() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams: Output a description of the current annotation configuration to standard error.
display() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
display(boolean) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
display(boolean) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.CollinsDepEval
display(boolean) - Method in interface edu.stanford.nlp.parser.metrics.Eval
display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.ParserQueryEval: Called after the evaluation is finished.
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TransitionTypeEval
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TreeRecorder
display() - Method in class edu.stanford.nlp.stats.EquivalenceClassEval: Displays the cumulative results of the evaluation to System.out.
display(PrintWriter) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval: Displays the cumulative results of the evaluation.
displayError(String, String) - Method in class edu.stanford.nlp.ie.NERGUI
displayHeadScores() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: This displays a headScore matrix, which will be valid after parsing a sentence.
displayLast() - Method in class edu.stanford.nlp.stats.EquivalenceClassEval: Displays the results of the previous Collection pair evaluation to System.out.
displayLast(PrintWriter) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval: Displays the results of the previous Collection pair evaluation.
DisplayMatchesPanel - Class in edu.stanford.nlp.trees.tregex.gui: Class for creating the panel which shows a graphical version of the tree (as in TreeJPanel) as well as the file name of the file from which the tree is from.
DisplayMatchesPanel.FilenameMouseInputAdapter - Class in edu.stanford.nlp.trees.tregex.gui
distance(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span: Returns the smallest distance between two spans.
distance - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
distance - Variable in class edu.stanford.nlp.parser.lexparser.Options: Use distance bins in the dependency calculations
distance(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
distanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
distanceBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
distanceFromSubj - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.State
Distribution<E> - Class in edu.stanford.nlp.stats: Immutable class for representing normalized, smoothed discrete distributions from Counters.
distributionFromLogisticCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution: Maps a counter representing the linear weights of a multiclass logistic regression model to the probabilities of each class.
DistributionPackage - Class in edu.stanford.nlp.trees.treebank: Adds data files to a tar'd / gzip'd distribution package.
DistributionPackage() - Constructor for class edu.stanford.nlp.trees.treebank.DistributionPackage
Distributions - Class in edu.stanford.nlp.stats: Static methods for operating on Distributionss.
distributionWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution: Returns a Distribution that uses prior as a Dirichlet prior weighted by weight.
Distsim - Class in edu.stanford.nlp.tagger.maxent: Keeps track of a distributional similarity mapping, i.e., a map from word to class.
Distsim(String) - Constructor for class edu.stanford.nlp.tagger.maxent.Distsim: The Extractor argument extraction keeps ; together, so we use that to delimit options.
DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
distSimClass(String) - Method in class edu.stanford.nlp.process.DistSimClassifier
DistSimClassifier - Class in edu.stanford.nlp.process: Maps a String to its distributional similarity class.
DistSimClassifier(String, boolean, boolean) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
DistSimClassifier(String, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
DistSimClassifier(String, String, String, int, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
DistsimFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce: Featurizes words based only on their distributional similarity classes.
distSimFileFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags: The format of the distsim file.
distSimLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
distSimMaxBits - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags: If this number is greater than 0, the distSim class is assume to be a bit string and is truncated at this many characters.
distSimWeights - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
divide(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
divide(double, double) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve: Given a numerator and denominator in log form, this calculates the conditional model probabilities.
DIVIDE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
divideBy(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
divideBy(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
divideConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
divideDurationBy(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
divideInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Divides the values in this array by b.
divideInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Divides every non-zero count in target by the corresponding value in the denominator Counter.
divideInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Divides each value in target by the given divisor, in place.
divideInPlace(TwoDimensionalCounter<A, B>, double) - Static method in class edu.stanford.nlp.stats.Counters
division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns c1 divided by c2.
divisionNonNaN(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns c1 divided by c2.
DO_PRONOUN - Variable in class edu.stanford.nlp.coref.hybrid.sieve.DcorefSieveOptions
DO_PRONOUN - Variable in class edu.stanford.nlp.dcoref.SieveOptions
DO_TAGS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
doAdaptation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
doAnalysis(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
doc - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
doc - Variable in class edu.stanford.nlp.ie.UniformPrior
doc - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
doc - Variable in class edu.stanford.nlp.quoteattribution.XMLToAnnotation.Data
DOC_DATE_FIXED_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
DOC_DATE_MAPPING_FILE_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
DOC_DATE_PRESENT_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
DOC_DATE_REGEX_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
DOC_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
docData - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument: doc metadata
docDate(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Set document date
docDate() - Method in class edu.stanford.nlp.pipeline.CoreDocument: return the doc date of this doc
DOCDATE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
DocDateAnnotator - Class in edu.stanford.nlp.pipeline: Find and record a document (authoring) date for a document.
DocDateAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.DocDateAnnotator
docId - Variable in class edu.stanford.nlp.coref.statistical.Example
docID() - Method in class edu.stanford.nlp.ling.CoreLabel
docID() - Method in interface edu.stanford.nlp.ling.HasIndex
docID() - Method in class edu.stanford.nlp.ling.IndexedWord
docID() - Method in class edu.stanford.nlp.pipeline.CoreDocument: return the doc id of this doc
docid() - Method in class edu.stanford.nlp.simple.Document: Returns the document id of the document, if one was found
docID() - Method in class edu.stanford.nlp.simple.Token
DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
docInfo - Variable in class edu.stanford.nlp.coref.data.Document: Additional information about the document.
docInfo - Variable in class edu.stanford.nlp.coref.data.InputDoc: Additional document information possibly useful for coref.
doClearFileList() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
docMaker - Variable in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
doCompaction(TransducerGraph, List, List) - Method in class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
doCompaction(TransducerGraph, List<List<String>>, List<List<String>>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
doCoreference(int, CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
DocReader - Interface in edu.stanford.nlp.coref.docreader
DocSourceTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
docText - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument: full doc text
DocTitleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
docType - Variable in class edu.stanford.nlp.coref.data.Document: The type of document: conversational or article
docType - Variable in class edu.stanford.nlp.dcoref.Document: The type of document: conversational or article
DocTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
Document - Class in edu.stanford.nlp.coref.data
Document() - Constructor for class edu.stanford.nlp.coref.data.Document
Document(Annotation, List<List<Mention>>, List<List<Mention>>) - Constructor for class edu.stanford.nlp.coref.data.Document
Document(InputDoc, List<List<Mention>>) - Constructor for class edu.stanford.nlp.coref.data.Document
Document() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
Document - Class in edu.stanford.nlp.dcoref
Document() - Constructor for class edu.stanford.nlp.dcoref.Document
Document(Annotation, List<List<Mention>>, List<List<Mention>>, Dictionaries) - Constructor for class edu.stanford.nlp.dcoref.Document
Document<L,F,T> - Interface in edu.stanford.nlp.ling: Represents a text document as a list of Words with a String title.
document() - Method in class edu.stanford.nlp.pipeline.CoreQuote: get this quote's document
document() - Method in class edu.stanford.nlp.pipeline.CoreSentence: get the document this sentence is in
document - Variable in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.FinishedRequest
Document - Class in edu.stanford.nlp.simple: A representation of a Document.
Document(Properties, String) - Constructor for class edu.stanford.nlp.simple.Document: Create a new document from the passed in text and the given properties.
Document(String) - Constructor for class edu.stanford.nlp.simple.Document: Create a new document from the passed in text.
Document(Properties, Annotation) - Constructor for class edu.stanford.nlp.simple.Document: Convert a CoreNLP Annotation object to a Document.
Document(Annotation) - Constructor for class edu.stanford.nlp.simple.Document
Document(Properties, CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.Document: Create a Document object from a read Protocol Buffer.
Document(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.Document
document - Variable in class edu.stanford.nlp.simple.Sentence: The document this sentence is derived from
Document.DocType - Enum in edu.stanford.nlp.coref.data
Document.DocType - Enum in edu.stanford.nlp.dcoref
DOCUMENT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
DOCUMENT_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
DocumentDirectoryAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentDirectoryAnnotation
DocumentExamples - Class in edu.stanford.nlp.coref.statistical: Represents all coreference examples for a particular document.
DocumentExamples(int, List<Example>, Map<Integer, CompressedFeatureVector>) - Constructor for class edu.stanford.nlp.coref.statistical.DocumentExamples
documentExpectedCounts(double[][], int[][][], double[][][], CRFCliqueTree<String>) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction: Compute the expected counts for this document, which we will need to compute the derivative.
documentID - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
DocumentIdAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentIdAnnotation: Deprecated.
DocumentMaker - Class in edu.stanford.nlp.coref.data: Class for creating Documents from raw Annotations or from CoNLL input data.
DocumentMaker(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.data.DocumentMaker
DocumentPreprocessor - Class in edu.stanford.nlp.coref.data: Coref document preprocessor.
DocumentPreprocessor - Class in edu.stanford.nlp.process: Produces a list of sentences from either a plain text or XML document.
DocumentPreprocessor(Reader) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor: Constructs a preprocessor from an existing input stream.
DocumentPreprocessor(Reader, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
DocumentPreprocessor(String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
DocumentPreprocessor(String, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
DocumentPreprocessor(String, DocumentPreprocessor.DocType, String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor: Constructs a preprocessor from a file at a path, which can be either a filesystem location, a classpath entry, or a URL.
DocumentPreprocessor.DocType - Enum in edu.stanford.nlp.process
DocumentProcessor<IN,OUT,L,F> - Interface in edu.stanford.nlp.process: Top-level interface for transforming Documents.
DocumentReader<L> - Class in edu.stanford.nlp.ling: Basic mechanism for reading in Documents from various input sources.
DocumentReader() - Constructor for class edu.stanford.nlp.ling.DocumentReader: Constructs a new DocumentReader without an initial input source.
DocumentReader(Reader) - Constructor for class edu.stanford.nlp.ling.DocumentReader: Constructs a new DocumentReader using a PTBTokenizerFactory and keeps the original text.
DocumentReader(Reader, TokenizerFactory<? extends HasWord>, boolean) - Constructor for class edu.stanford.nlp.ling.DocumentReader: Constructs a new DocumentReader that will read text from the given Reader and tokenize it into words using the given Tokenizer.
documentReader - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DocumentReaderAndWriter<IN extends CoreMap> - Interface in edu.stanford.nlp.sequences: This interface is used for reading data and writing output into and out of sequence classifiers.
documentsToDataAndLabels(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Convert an ObjectBank to arrays of data features and labels.
documentsToDataAndLabelsList(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Convert an ObjectBank to corresponding collection of data features and labels.
documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Convert a document List into arrays storing the data features and labels.
documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
documentToString(Document) - Static method in class edu.stanford.nlp.time.XMLUtils
doDep - Variable in class edu.stanford.nlp.parser.lexparser.Options: Do a dependency parse of the sentence.
doError(String, Throwable) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel: Called when a pattern cannot be compiled or some other error occurs; resets gui to valid state.
doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
doFE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
doFeatureDiscovery - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.ie.ner.webapp.NERServlet
doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.patterns.SPIEDServlet
doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.time.suservlet.SUTimeServlet
doGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
doing(String) - Method in class edu.stanford.nlp.util.Timing: Print the start of timing message to stderr and start the timer.
DOLLAR - Static variable in class edu.stanford.nlp.ie.qe.Units.Currencies
domain() - Method in class edu.stanford.nlp.maxent.Features
domain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
domain() - Method in class edu.stanford.nlp.stats.DataSeries.AbstractDataSeries
domain() - Method in class edu.stanford.nlp.stats.DataSeries.AverageDataSeries
domain() - Method in interface edu.stanford.nlp.stats.DataSeries
DOMAIN_EMAIL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.classify.ShiftParamsLogisticObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
domainDimension - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
domainDimension() - Method in interface edu.stanford.nlp.optimization.FloatFunction: Returns the number of dimensions in the function's domain
domainDimension() - Method in interface edu.stanford.nlp.optimization.Function: Returns the number of dimensions in the function's domain
domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
domainDimension() - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
domainDimension() - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient
domainNGramRawFreq - Static variable in class edu.stanford.nlp.patterns.Data
domainNGramsFile - Static variable in class edu.stanford.nlp.patterns.Data
doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.DeterministicSpeakerSieve
doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.LooseConversationalSpeakerSieve
doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.MajoritySpeakerSieve
doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.MSSieve
dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns true if this dominates the Tree passed in as an argument.
dominatesC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Verbal distance -- mark whether symbol dominates a conjunction (CC)
dominatesI - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Verbal distance -- mark whether symbol dominates a preposition (IN)
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams: Verbal distance -- mark whether symbol dominates a verb (V*).
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain: Verbal distance -- mark whether symbol dominates a verb (V*, MD).
dominationPath(Tree) - Method in class edu.stanford.nlp.trees.Tree: Returns the path of nodes leading down to a dominated node, including this and the dominated node itself.
DomReader - Class in edu.stanford.nlp.ie.machinereading.common: Generic DOM reader for an XML file
DomReader() - Constructor for class edu.stanford.nlp.ie.machinereading.common.DomReader
done() - Method in class edu.stanford.nlp.util.Timing: Finish the line from doing() with the end of the timing done message and elapsed time in x.y seconds.
done(String) - Method in class edu.stanford.nlp.util.Timing: Give a line saying that something is " done".
done(StringBuilder) - Method in class edu.stanford.nlp.util.Timing
done(Redwood.RedwoodChannels, StringBuilder) - Method in class edu.stanford.nlp.util.Timing: This method allows you to show the results of timing according to another class' logger.
done(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Timing
doNewAnnotations(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
doNewPhrases(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
doNotApplyPatterns - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
doNotExtractPhraseAnyWordLabeledOtherClass - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Especially useful for multi word phrase extraction.
doNotLexicalizeFirstArg - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
doNotLexicalizeFirstArg - Variable in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory: If true, it does not create any lexicalized features from the first argument (needed for KBP)
doNotUse(String, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.PatternFactory
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.naturalli.NaturalLogicAnnotator: Fills in empty annotations for trees, tags, etc if the annotator failed or timed out.
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator: Fills in empty annotations for trees, tags, etc if the annotator failed or timed out.
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator: Fills in empty annotations for trees, tags, etc if the annotator failed or timed out.
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentimentAnnotator
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.UDFeatureAnnotator
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.WikidictAnnotator: Fills in empty annotations for trees, tags, etc if the annotator failed or timed out.
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.naturalli.NaturalLogicAnnotator: annotation is included in case there is global information we care about
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator: annotation is included in case there is global information we care about
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentimentAnnotator
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.UDFeatureAnnotator
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.WikidictAnnotator: annotation is included in case there is global information we care about
doPCFG - Variable in class edu.stanford.nlp.parser.lexparser.Options: Do a PCFG parse of the sentence.
doPMIFeatureSelection(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.ie.ner.webapp.NERServlet
doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.patterns.SPIEDServlet
doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.time.suservlet.SUTimeServlet
doPostProcessing(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
doQuit() - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ClosestMentionSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ConversationalSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.DependencyParseSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.LooseConversationalSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.OneNameSentenceSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ParagraphEndQuoteClosestSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.SupervisedSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.TrigramSieve
doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.VocativeSieve
doRecovery - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If true, then failure of the PCFG factor to parse a sentence will trigger parse recovery mode.
doRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras: Add "ref" edges
doRemoveAnnotations(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
doRemovePhrases(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
doScore(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
doScore() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
doSubj - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras: Add extra subject edges
DOT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
dot(SimpleMatrix, SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Compute dot product between two vectors.
DOTCOMMA - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
DOTDOT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
dotProduct(double[], int[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
dotProduct(ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector: This function assumes both vectors are infinitely padded with 0s, so it won't complain if there's a dim mismatch.
dotProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Assumes that both arrays have same length.
dotProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Dot product of a and b.
dotProduct(double[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath: Dot product of a and b.
dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the product of c1 and c2.
dotProduct(Counter<E>, double[], Index<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns the product of Counter c and double[] a, using Index idx to map entries in C onto a.
dotProductInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Multiplies every count in target by the corresponding value in the term Counter.
doTraining(String) - Method in class edu.stanford.nlp.coref.statistical.Clusterer
doTraining(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
DOUBLE_QUOTES - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
DoubleAD - Class in edu.stanford.nlp.math: The class DoubleAD was created to extend the current calculations of gradient to automatically include a calculation of the Hessian vector product with another vector v.
DoubleAD() - Constructor for class edu.stanford.nlp.math.DoubleAD
DoubleAD(double, double) - Constructor for class edu.stanford.nlp.math.DoubleAD
doubleArrayToFloatArray(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
doubleArrayToFloatArray(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
doubleArrToByteArr(double[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
doubleValue() - Method in class edu.stanford.nlp.math.DoubleAD
doubleValue() - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble: Returns the value of this AtomicDouble as a double.
doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
doubleValue() - Method in class edu.stanford.nlp.util.MutableLong
doWordEmbeddingGradUpdate - Variable in class edu.stanford.nlp.parser.nndep.Config: Update word embeddings when performing gradient descent.
dparser - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
drawSample(Random) - Method in class edu.stanford.nlp.stats.Dirichlet
drawSample(Random, Counter<F>) - Static method in class edu.stanford.nlp.stats.Dirichlet
drawSample(Random, double[]) - Static method in class edu.stanford.nlp.stats.Dirichlet
drawSample(Random) - Method in class edu.stanford.nlp.stats.DirichletProcess
drawSample() - Method in class edu.stanford.nlp.stats.Distribution: Exactly the same as sampleFrom(), needed for the Sampler interface.
drawSample(Random) - Method in class edu.stanford.nlp.stats.Distribution: A method to draw a sample, providing an own random number generator.
drawSample(Random) - Method in class edu.stanford.nlp.stats.Gamma
drawSample(Random, double) - Static method in class edu.stanford.nlp.stats.Gamma
drawSample(Random, double, double) - Static method in class edu.stanford.nlp.stats.Gamma
drawSample(Random) - Method in class edu.stanford.nlp.stats.Multinomial
drawSample(Random) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
drawSample() - Method in interface edu.stanford.nlp.stats.Sampler
drop(T[], int) - Static method in class edu.stanford.nlp.util.Iterables: Returns a view of the given data, ignoring the first toDrop elements.
drop(Iterable<T>, int) - Static method in class edu.stanford.nlp.util.Iterables: Returns a view of the given data, ignoring the first toDrop elements.
dropFeaturesBelowThreshold(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
dropGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
DROPOUT_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
dropoutApprox - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dropoutRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dropoutScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dropProb - Variable in class edu.stanford.nlp.parser.nndep.Config: Dropout probability.
dualDecompAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dualDecompDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dualDecompInitialStepSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dualDecompInitialStepSizeAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dualDecompMaxItr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dualDecompNotBIO - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dump() - Method in class edu.stanford.nlp.classify.LinearClassifier: Print all features in the classifier and the weight that they assign to each class.
dump(PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier: Print all features in the classifier and the weight that they assign to each class.
dump - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
dump() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
dump(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
dump() - Method in class edu.stanford.nlp.util.ArrayHeap
dumpAccuracy(Classifier<ClauseSplitter.ClauseClassifierLabel, String>, GeneralDataset<ClauseSplitter.ClauseClassifierLabel, String>) - Static method in class edu.stanford.nlp.naturalli.Util: A helper function for dumping the accuracy of the trained classifier.
dumpCoreMap(CoreMap) - Static method in class edu.stanford.nlp.util.CoreMaps: Utility function for dumping all the keys and values of a CoreMap to a String.
dumpCoreMapToStringBuilder(CoreMap, StringBuilder) - Static method in class edu.stanford.nlp.util.CoreMaps
dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Does nothing by default.
dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
DumpMatrices - Class in edu.stanford.nlp.parser.dvparser: Dump out the matrices in a DVModel to a given directory in text format.
DumpMatrices() - Constructor for class edu.stanford.nlp.parser.dvparser.DumpMatrices
dumpMatrix(String, SimpleMatrix) - Static method in class edu.stanford.nlp.parser.dvparser.DumpMatrices
dumpMemory() - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch: dump the <x,y> pairs it computed found
dumpPerRelationStats(PrintStream) - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
dumpPerRelationStats() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
dumpSimWordAvgStats() - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
dumpSizes() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
dumpSorted() - Method in class edu.stanford.nlp.classify.LinearClassifier: Print all features in the classifier and the weight that they assign to each class.
dumpStats() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
duplicateKeepNodes(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: This creates a new graph based off the given, but uses the existing nodes objects.
DuplicateTreeStringFilter - Class in edu.stanford.nlp.trees.treebank: Filters trees based on duplicate toString()
for example, java edu.stanford.nlp.trees.Treebanks -filter edu.stanford.nlp.trees.treebank.DuplicateTreeStringFilter -pennPrint /u/nlp/data/constituency-parser/models-4.0.0/data/ewt/ptb/train/ewt-train.mrg
DuplicateTreeStringFilter() - Constructor for class edu.stanford.nlp.trees.treebank.DuplicateTreeStringFilter
DUR_RESOLVE_FROM_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
DUR_RESOLVE_TO_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
Duration() - Constructor for class edu.stanford.nlp.time.SUTime.Duration
Duration(SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Duration
duration - Variable in class edu.stanford.nlp.time.Timex.Range
DURATION_NONE - Static variable in class edu.stanford.nlp.time.SUTime
DURATION_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
DurationRange(SUTime.DurationRange, SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
DurationRange(SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
DurationWithFields() - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
DurationWithFields(ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
DurationWithFields(SUTime.Duration, ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
DurationWithMillis(long) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
DurationWithMillis(ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
DurationWithMillis(SUTime.Duration, ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
DUSK - Static variable in class edu.stanford.nlp.time.SUTime
dvKBest - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
DVModel - Class in edu.stanford.nlp.parser.dvparser
DVModel(Options, Index<String>, UnaryGrammar, BinaryGrammar) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
DVModel(TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
DVModelReranker - Class in edu.stanford.nlp.parser.dvparser
DVModelReranker(DVModel) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModelReranker
DVModelReranker.Query - Class in edu.stanford.nlp.parser.dvparser
DVP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "dvp marker" grammatical relation.
DVParser - Class in edu.stanford.nlp.parser.dvparser
DVParser(DVModel, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
DVParser(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
DVParserCostAndGradient - Class in edu.stanford.nlp.parser.dvparser
DVParserCostAndGradient(List<Tree>, IdentityHashMap<Tree, List<Tree>>, DVModel, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "dvp modifier" grammatical relation.
DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "dvp modifier" grammatical relation.
dvSimplifiedModel - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Make the dv model as simple as possible
DybroFrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french: Implements the head finding rules from Dybro-Johansen master's thesis.
DybroFrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
DybroFrenchHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
dynamicCounterWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution: Like normalizedCounterWithDirichletPrior except probabilities are computed dynamically from the counter and prior instead of all at once up front.

E

E - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
E_ATTR - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
E_ATTR_NODE - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
E_ATTR_VAL - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
eachClique(int, int, Consumer<Clique>) - Static method in class edu.stanford.nlp.sequences.FeatureFactory: Process cliques requiring exactly "left" lookbehind and exactly "right" lookahead.
edge - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.State
Edge - Class in edu.stanford.nlp.parser.lexparser: Class for parse edges.
Edge(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
Edge(Edge) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
EDGE - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
edge - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
EDGE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
EDGE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
EDGE_NAME_ARG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
edgeCount() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
EdgeDiffResult(Set<SemanticGraphEdge>, Set<SemanticGraphEdge>, Set<SemanticGraphEdge>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphUtils.EdgeDiffResult
edgeIndex - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.State
edgeIterable() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
edgeIterable() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
edgeIterator() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
edgeListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns an ordered list of edges in the graph.
edgeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReattachNamedEdge
edgeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RelabelNamedEdge
edgeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveNamedEdge
edges - Variable in class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
edgesWithReln(Iterable<SemanticGraphEdge>, GrammaticalRelation) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given a list of edges, returns those which match the given relation (can be string or GrammaticalRelation object).
EDIT_ELEM_TAG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
EDIT_LIST_ELEM_TAG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
editDistance(CharSequence, CharSequence, int) - Static method in class edu.stanford.nlp.patterns.EditDistanceDamerauLevenshteinLike
EditDistance - Class in edu.stanford.nlp.util: Find the (Levenshtein) edit distance between two Strings or Character arrays.
EditDistance() - Constructor for class edu.stanford.nlp.util.EditDistance
EditDistance(boolean) - Constructor for class edu.stanford.nlp.util.EditDistance
editDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Computes the Levenshtein (edit) distance of the two given Strings.
EditDistanceDamerauLevenshteinLike - Class in edu.stanford.nlp.patterns: COPIED FROM https://gist.github.com/steveash (public domain license) Implementation of the OSA (optimal string alignment) which is similar to the Damerau-Levenshtein in that it allows for transpositions to count as a single edit distance, but is not a true metric and can over-estimate the cost because it disallows substrings to edited more than once.
EditDistanceDamerauLevenshteinLike() - Constructor for class edu.stanford.nlp.patterns.EditDistanceDamerauLevenshteinLike
EditNode - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon: Edit an existing node to have new attributes.
EditNode(String, Map<String, String>, String, List<String>, List<String>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.EditNode
editScript - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
edu.stanford.nlp.classify - package edu.stanford.nlp.classify: The classify package provides facilities for training classifiers.
edu.stanford.nlp.classify.demo - package edu.stanford.nlp.classify.demo
edu.stanford.nlp.coref - package edu.stanford.nlp.coref: Packages for coreference resolution and mention detection.
edu.stanford.nlp.coref.data - package edu.stanford.nlp.coref.data
edu.stanford.nlp.coref.docreader - package edu.stanford.nlp.coref.docreader
edu.stanford.nlp.coref.fastneural - package edu.stanford.nlp.coref.fastneural
edu.stanford.nlp.coref.hybrid - package edu.stanford.nlp.coref.hybrid
edu.stanford.nlp.coref.hybrid.demo - package edu.stanford.nlp.coref.hybrid.demo
edu.stanford.nlp.coref.hybrid.rf - package edu.stanford.nlp.coref.hybrid.rf
edu.stanford.nlp.coref.hybrid.sieve - package edu.stanford.nlp.coref.hybrid.sieve
edu.stanford.nlp.coref.md - package edu.stanford.nlp.coref.md
edu.stanford.nlp.coref.misc - package edu.stanford.nlp.coref.misc
edu.stanford.nlp.coref.neural - package edu.stanford.nlp.coref.neural
edu.stanford.nlp.coref.statistical - package edu.stanford.nlp.coref.statistical
edu.stanford.nlp.dcoref - package edu.stanford.nlp.dcoref: Multi-pass Sieve Coreference Resolution System
edu.stanford.nlp.dcoref.sievepasses - package edu.stanford.nlp.dcoref.sievepasses
edu.stanford.nlp.dcoref.util - package edu.stanford.nlp.dcoref.util
edu.stanford.nlp.examples - package edu.stanford.nlp.examples
edu.stanford.nlp.fsm - package edu.stanford.nlp.fsm: Contains two implementations of finite state machines.
edu.stanford.nlp.graph - package edu.stanford.nlp.graph: A simple directed graph implementatin that we use to support our dependency graphs.
edu.stanford.nlp.ie - package edu.stanford.nlp.ie: This package implements various subpackages for information extraction.
edu.stanford.nlp.ie.crf - package edu.stanford.nlp.ie.crf: A package for doing inference with conditional random fields.
edu.stanford.nlp.ie.demo - package edu.stanford.nlp.ie.demo
edu.stanford.nlp.ie.machinereading - package edu.stanford.nlp.ie.machinereading: A package for supervised relation and event extraction.
edu.stanford.nlp.ie.machinereading.common - package edu.stanford.nlp.ie.machinereading.common
edu.stanford.nlp.ie.machinereading.domains.ace - package edu.stanford.nlp.ie.machinereading.domains.ace
edu.stanford.nlp.ie.machinereading.domains.ace.reader - package edu.stanford.nlp.ie.machinereading.domains.ace.reader
edu.stanford.nlp.ie.machinereading.domains.roth - package edu.stanford.nlp.ie.machinereading.domains.roth
edu.stanford.nlp.ie.machinereading.structure - package edu.stanford.nlp.ie.machinereading.structure
edu.stanford.nlp.ie.ner - package edu.stanford.nlp.ie.ner: This package contains the older version of the Stanford NER tagger that uses a Conditional Markov Model (a.k.a., Maximum Entropy Markov Model or MEMM) designed for Named Entity Recognition, and various support code.
edu.stanford.nlp.ie.ner.ui - package edu.stanford.nlp.ie.ner.ui: This package mainly contains GUI software for error analysis of NER, developed in the context of Biocreative, but also has a simple GUI interface to CMMClassifier.
edu.stanford.nlp.ie.ner.webapp - package edu.stanford.nlp.ie.ner.webapp
edu.stanford.nlp.ie.pascal - package edu.stanford.nlp.ie.pascal: This package contains classes used for the Pascal Information Extraction Challenge.
edu.stanford.nlp.ie.qe - package edu.stanford.nlp.ie.qe
edu.stanford.nlp.ie.regexp - package edu.stanford.nlp.ie.regexp
edu.stanford.nlp.ie.util - package edu.stanford.nlp.ie.util
edu.stanford.nlp.international - package edu.stanford.nlp.international
edu.stanford.nlp.international.arabic - package edu.stanford.nlp.international.arabic
edu.stanford.nlp.international.arabic.parsesegment - package edu.stanford.nlp.international.arabic.parsesegment
edu.stanford.nlp.international.arabic.pipeline - package edu.stanford.nlp.international.arabic.pipeline
edu.stanford.nlp.international.arabic.process - package edu.stanford.nlp.international.arabic.process
edu.stanford.nlp.international.french - package edu.stanford.nlp.international.french
edu.stanford.nlp.international.french.pipeline - package edu.stanford.nlp.international.french.pipeline
edu.stanford.nlp.international.french.process - package edu.stanford.nlp.international.french.process
edu.stanford.nlp.international.french.scripts - package edu.stanford.nlp.international.french.scripts
edu.stanford.nlp.international.german.process - package edu.stanford.nlp.international.german.process
edu.stanford.nlp.international.german.scripts - package edu.stanford.nlp.international.german.scripts
edu.stanford.nlp.international.morph - package edu.stanford.nlp.international.morph
edu.stanford.nlp.international.spanish - package edu.stanford.nlp.international.spanish
edu.stanford.nlp.international.spanish.pipeline - package edu.stanford.nlp.international.spanish.pipeline
edu.stanford.nlp.international.spanish.process - package edu.stanford.nlp.international.spanish.process
edu.stanford.nlp.international.spanish.scripts - package edu.stanford.nlp.international.spanish.scripts
edu.stanford.nlp.io - package edu.stanford.nlp.io: A few classes that augment the java.io package in useful ways for our applications.
edu.stanford.nlp.io.ui - package edu.stanford.nlp.io.ui: UI components for I/O operations.
edu.stanford.nlp.ling - package edu.stanford.nlp.ling: This package contains the different data structures used by JavaNLP throughout the years for dealing with linguistic objects in general, of which words are the most generally used.
edu.stanford.nlp.ling.tokensregex - package edu.stanford.nlp.ling.tokensregex: This package contains a library, TokensRegex, for matching regular expressions over tokens.
edu.stanford.nlp.ling.tokensregex.demo - package edu.stanford.nlp.ling.tokensregex.demo: This package contains some demo code and a few sample rule files for the TokensRegex package.
edu.stanford.nlp.ling.tokensregex.matcher - package edu.stanford.nlp.ling.tokensregex.matcher
edu.stanford.nlp.ling.tokensregex.parser - package edu.stanford.nlp.ling.tokensregex.parser
edu.stanford.nlp.ling.tokensregex.types - package edu.stanford.nlp.ling.tokensregex.types: This package contains various types and interfaces used when parsing TokensRegex patterns and rules.
edu.stanford.nlp.loglinear.benchmarks - package edu.stanford.nlp.loglinear.benchmarks
edu.stanford.nlp.loglinear.inference - package edu.stanford.nlp.loglinear.inference
edu.stanford.nlp.loglinear.learning - package edu.stanford.nlp.loglinear.learning
edu.stanford.nlp.loglinear.model - package edu.stanford.nlp.loglinear.model
edu.stanford.nlp.loglinear.model.proto - package edu.stanford.nlp.loglinear.model.proto
edu.stanford.nlp.loglinear.storage - package edu.stanford.nlp.loglinear.storage
edu.stanford.nlp.math - package edu.stanford.nlp.math: Classes for Simple Math Functionality, such as Min, Max, WeightedAverage, Scientific Notation, etc.
edu.stanford.nlp.maxent - package edu.stanford.nlp.maxent: This package deals with defining and solving maximum entropy problems.
edu.stanford.nlp.maxent.iis - package edu.stanford.nlp.maxent.iis: This package contains an implementation of Improved Iterative Scaling.
edu.stanford.nlp.misc - package edu.stanford.nlp.misc
edu.stanford.nlp.naturalli - package edu.stanford.nlp.naturalli: This package defines operator and polarity marking according to natural logic, and defines the Stanford Open IE system.
edu.stanford.nlp.net - package edu.stanford.nlp.net
edu.stanford.nlp.neural - package edu.stanford.nlp.neural
edu.stanford.nlp.neural.rnn - package edu.stanford.nlp.neural.rnn
edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank: The ObjectBank class is designed to make it easy to change the format/source of data read in by other classes and to standardize how data is read in javaNLP classes.
edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization: Numerical optimization, including a conjugate gradient implementation.
edu.stanford.nlp.paragraphs - package edu.stanford.nlp.paragraphs
edu.stanford.nlp.parser - package edu.stanford.nlp.parser: This package contains a few simple interfaces for the parsers in the various subpackages.
edu.stanford.nlp.parser.charniak - package edu.stanford.nlp.parser.charniak
edu.stanford.nlp.parser.common - package edu.stanford.nlp.parser.common
edu.stanford.nlp.parser.dvparser - package edu.stanford.nlp.parser.dvparser
edu.stanford.nlp.parser.eval - package edu.stanford.nlp.parser.eval: This package contains a class, CandidateParseManager, for managing multiple candidate parses for a single gold-standard tree, doing evaluations, and more.
edu.stanford.nlp.parser.lexparser - package edu.stanford.nlp.parser.lexparser: This package contains implementations of three probabilistic parsers for natural language text.
edu.stanford.nlp.parser.lexparser.demo - package edu.stanford.nlp.parser.lexparser.demo
edu.stanford.nlp.parser.metrics - package edu.stanford.nlp.parser.metrics
edu.stanford.nlp.parser.nndep - package edu.stanford.nlp.parser.nndep
edu.stanford.nlp.parser.nndep.demo - package edu.stanford.nlp.parser.nndep.demo
edu.stanford.nlp.parser.server - package edu.stanford.nlp.parser.server
edu.stanford.nlp.parser.shiftreduce - package edu.stanford.nlp.parser.shiftreduce
edu.stanford.nlp.parser.shiftreduce.demo - package edu.stanford.nlp.parser.shiftreduce.demo
edu.stanford.nlp.parser.tools - package edu.stanford.nlp.parser.tools
edu.stanford.nlp.parser.ui - package edu.stanford.nlp.parser.ui: This package contains graphical user interface components for parsing sentences with parser created using lexparser.LexicalizedParser.
edu.stanford.nlp.patterns - package edu.stanford.nlp.patterns
edu.stanford.nlp.patterns.dep - package edu.stanford.nlp.patterns.dep
edu.stanford.nlp.patterns.surface - package edu.stanford.nlp.patterns.surface
edu.stanford.nlp.pipeline - package edu.stanford.nlp.pipeline: Linguistic Annotation Pipeline
edu.stanford.nlp.pipeline.demo - package edu.stanford.nlp.pipeline.demo
edu.stanford.nlp.pipeline.webapp - package edu.stanford.nlp.pipeline.webapp
edu.stanford.nlp.process - package edu.stanford.nlp.process: Contains classes for processing documents.
edu.stanford.nlp.process.stattok - package edu.stanford.nlp.process.stattok
edu.stanford.nlp.quoteattribution - package edu.stanford.nlp.quoteattribution
edu.stanford.nlp.quoteattribution.Sieves - package edu.stanford.nlp.quoteattribution.Sieves
edu.stanford.nlp.quoteattribution.Sieves.MSSieves - package edu.stanford.nlp.quoteattribution.Sieves.MSSieves: Implementations of mention to speaker (i.e., entity) sieves.
edu.stanford.nlp.quoteattribution.Sieves.QMSieves - package edu.stanford.nlp.quoteattribution.Sieves.QMSieves: Implementations of quote to mention sieves.
edu.stanford.nlp.quoteattribution.Sieves.training - package edu.stanford.nlp.quoteattribution.Sieves.training
edu.stanford.nlp.scenegraph - package edu.stanford.nlp.scenegraph
edu.stanford.nlp.scenegraph.image - package edu.stanford.nlp.scenegraph.image
edu.stanford.nlp.semgraph - package edu.stanford.nlp.semgraph: This package provides a representation of dependency graphs (normally the collapsed Stanford Dependencies representation) as a graph (backed by the jgrapht graph library.
edu.stanford.nlp.semgraph.semgrex - package edu.stanford.nlp.semgraph.semgrex: A package for dependency graph (i.e.
edu.stanford.nlp.semgraph.semgrex.demo - package edu.stanford.nlp.semgraph.semgrex.demo
edu.stanford.nlp.semgraph.semgrex.ssurgeon - package edu.stanford.nlp.semgraph.semgrex.ssurgeon: A package for performing transformations of dependency trees, SemanticGraph objects.
edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred - package edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred: This contains predicate tests used in SsurgeonPattern objects.
edu.stanford.nlp.sentiment - package edu.stanford.nlp.sentiment
edu.stanford.nlp.sequences - package edu.stanford.nlp.sequences: This package contains classes that support sequence modeling and inference (CMMs and CRFs).
edu.stanford.nlp.simple - package edu.stanford.nlp.simple
edu.stanford.nlp.stats - package edu.stanford.nlp.stats: A set of tools for collecting, representing, and inferring with statistics.
edu.stanford.nlp.swing - package edu.stanford.nlp.swing: Collection of useful classes for building Swing GUIs.
edu.stanford.nlp.tagger - package edu.stanford.nlp.tagger: This subpackage is a home for taggers.
edu.stanford.nlp.tagger.common - package edu.stanford.nlp.tagger.common
edu.stanford.nlp.tagger.io - package edu.stanford.nlp.tagger.io
edu.stanford.nlp.tagger.maxent - package edu.stanford.nlp.tagger.maxent: A Maximum Entropy Part-of-Speech Tagger.
edu.stanford.nlp.tagger.maxent.documentation - package edu.stanford.nlp.tagger.maxent.documentation
edu.stanford.nlp.tagger.util - package edu.stanford.nlp.tagger.util
edu.stanford.nlp.time - package edu.stanford.nlp.time
edu.stanford.nlp.time.suservlet - package edu.stanford.nlp.time.suservlet
edu.stanford.nlp.trees - package edu.stanford.nlp.trees: A package for (NLP) trees, sentences, and similar things.
edu.stanford.nlp.trees.international - package edu.stanford.nlp.trees.international: This package and its subpackages define processes related to language-specific (or perhaps language- and corpus-specific) processing.
edu.stanford.nlp.trees.international.arabic - package edu.stanford.nlp.trees.international.arabic: A TreeNormalizer, HeadFinder, and TreebankLanguagePack for the Penn Arabic Treebank.
edu.stanford.nlp.trees.international.french - package edu.stanford.nlp.trees.international.french
edu.stanford.nlp.trees.international.hebrew - package edu.stanford.nlp.trees.international.hebrew
edu.stanford.nlp.trees.international.hungarian - package edu.stanford.nlp.trees.international.hungarian
edu.stanford.nlp.trees.international.italian - package edu.stanford.nlp.trees.international.italian
edu.stanford.nlp.trees.international.negra - package edu.stanford.nlp.trees.international.negra: Classes, and JFlex source file, for reading and tokenization of NEGRA corpus export-format files.
edu.stanford.nlp.trees.international.pennchinese - package edu.stanford.nlp.trees.international.pennchinese: Classes, and JFlex source file, for reading, tokenization and manipulation of Penn Chinese Treebank (CTB) export-format files.
edu.stanford.nlp.trees.international.spanish - package edu.stanford.nlp.trees.international.spanish
edu.stanford.nlp.trees.international.tuebadz - package edu.stanford.nlp.trees.international.tuebadz: A HeadFinder and TreebankLanguagePack for the The Tübingen Treebank of Written German (TüBa-D/Z), a corpus of German Newspaper text.
edu.stanford.nlp.trees.treebank - package edu.stanford.nlp.trees.treebank
edu.stanford.nlp.trees.tregex - package edu.stanford.nlp.trees.tregex: A package for tree-pattern expressions and matching these expressions to Tree instances.
edu.stanford.nlp.trees.tregex.gui - package edu.stanford.nlp.trees.tregex.gui: A package for the graphical interface for Tregex and TSurgeon.
edu.stanford.nlp.trees.tregex.tsurgeon - package edu.stanford.nlp.trees.tregex.tsurgeon: A package for performing transformations of trees to be used in conjunction with edu.stanford.nlp.trees.tregex.
edu.stanford.nlp.trees.ud - package edu.stanford.nlp.trees.ud
edu.stanford.nlp.truecaser - package edu.stanford.nlp.truecaser
edu.stanford.nlp.ui - package edu.stanford.nlp.ui
edu.stanford.nlp.util - package edu.stanford.nlp.util: A collection of useful general-purpose utility classes.
edu.stanford.nlp.util.concurrent - package edu.stanford.nlp.util.concurrent: A collection of useful thread-safe general-purpose utility classes.
edu.stanford.nlp.util.logging - package edu.stanford.nlp.util.logging: Contains the Redwood logging system that is the primary logging facade or system for Stanford CoreNLP.
edu.stanford.nlp.wordseg - package edu.stanford.nlp.wordseg: A package for doing Chinese word segmentation.
edu.stanford.nlp.wordseg.demo - package edu.stanford.nlp.wordseg.demo
Ehat - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
elapsedTime(Date, Date) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
elementMult(SimpleTensor) - Method in class edu.stanford.nlp.neural.SimpleTensor: Performs elementwise multiplication on the tensors.
elements() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
elements() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult: Returns the original sequence the match was performed on.
elements - Variable in class edu.stanford.nlp.util.Beam
elementsToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
elementSum() - Method in class edu.stanford.nlp.neural.SimpleTensor: Returns the sum of all elements in the tensor.
elementwiseApplyLog(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Applies log to each of the entries in the matrix.
elementwiseApplyReLU(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Applies ReLU to each of the entries in the matrix.
elementwiseApplyTanh(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Applies tanh to each of the entries in the matrix.
elementwiseApplyTanhDerivative(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils: Applies the derivative of tanh to each of the elements in the vector.
elementwiseProductInPlace(ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector: This will multiply the vector "other" to this vector.
elems() - Method in class edu.stanford.nlp.util.IntTuple
ELT_LIST_TAG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
EMAIL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
Embedding - Class in edu.stanford.nlp.neural
Embedding(Map<String, SimpleMatrix>) - Constructor for class edu.stanford.nlp.neural.Embedding
Embedding(String) - Constructor for class edu.stanford.nlp.neural.Embedding
Embedding(String, int) - Constructor for class edu.stanford.nlp.neural.Embedding
Embedding(String, String) - Constructor for class edu.stanford.nlp.neural.Embedding
Embedding(String, String, int) - Constructor for class edu.stanford.nlp.neural.Embedding
EmbeddingExtractor - Class in edu.stanford.nlp.coref.neural: Extracts word-embedding features from mentions.
EmbeddingExtractor(boolean, Embedding, Embedding, String) - Constructor for class edu.stanford.nlp.coref.neural.EmbeddingExtractor
EmbeddingFeatureFactory - Class in edu.stanford.nlp.ie: For features generated from word embeddings.
EmbeddingFeatureFactory() - Constructor for class edu.stanford.nlp.ie.EmbeddingFeatureFactory
embeddingSize - Variable in class edu.stanford.nlp.parser.nndep.Config: Dimensionality of the word embeddings used
embeddingVectors - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
embeddingWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
empiricalCounts(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
empiricalCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
EmpiricalNERPrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie: This was the empirical NER prior used for long distance consistency in the Finkel et al.
EmpiricalNERPrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPrior
EmpiricalNERPriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie
EmpiricalNERPriorBIO(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
EmpiricalNERPriorBIOFactory<IN extends CoreMap> - Class in edu.stanford.nlp.ie
EmpiricalNERPriorBIOFactory() - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorBIOFactory
EmpiricalNERPriorFactory<IN extends CoreMap> - Class in edu.stanford.nlp.ie: Used for creating an NER prior by reflection.
EmpiricalNERPriorFactory() - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorFactory
EMPTY - Static variable in class edu.stanford.nlp.ling.Word: Word representation of an empty.
empty() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
EMPTY - Static variable in class edu.stanford.nlp.util.logging.LogRecordHandler: An empty list to serve as the FALSE token for filters
empty() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: An empty Redwood configuration.
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
EMPTY_EXTRACTOR_ARRAY - Static variable in class edu.stanford.nlp.tagger.maxent.Extractor
EMPTY_ISO_DATE_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
EMPTY_ISO_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
EMPTY_ISO_TIME_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
EMPTY_ISO_WEEK_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
EMPTY_LEAF - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
EMPTY_LEAF_VALUE - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
EMPTY_STRING_ARRAY - Static variable in class edu.stanford.nlp.util.StringUtils
EMPTY_TREE_ARRAY - Static variable in class edu.stanford.nlp.trees.Tree: A leaf node should have a zero-length array for its children.
emptyFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
EMPTYINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
EMPTYINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
EmptyIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EmptyIndexAnnotation
enable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser: Enable tracing.
enablePrefs(boolean) - Static method in class edu.stanford.nlp.trees.tregex.gui.OSXAdapter
enableTsurgeon(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: The encoding for file input.
encodedInputStreamReader(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils: Create a Reader with an explicit encoding around an InputStream.
encodeDistance(int) - Static method in class edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor
encodedOutputStreamPrintWriter(OutputStream, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils: Create a Reader with an explicit encoding around an InputStream.
encodedOutputStreamWriter(OutputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils: Create a Reader with an explicit encoding around an InputStream.
encoding - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options: The output encoding to use
ENCODING - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
ENCODING - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
encoding - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
ENCODING - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
encoding - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
encoding() - Method in class edu.stanford.nlp.trees.Treebank: Returns the encoding in use for treebank file bytestream access.
ENCODING_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
EncodingFileReader - Class in edu.stanford.nlp.io: This is a convenience class which works almost exactly like FileReader but allows for the specification of input encoding.
EncodingFileReader(String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new EncodingFileReader, given the name of the file to read from.
EncodingFileReader(String, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new EncodingFileReader, given the name of the file to read from and an encoding
EncodingFileReader(File) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new EncodingFileReader, given the File to read from, and using default of utf-8.
EncodingFileReader(File, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new FileReader, given the File to read from and encoding.
EncodingFileReader(FileDescriptor) - Constructor for class edu.stanford.nlp.io.EncodingFileReader: Creates a new FileReader, given the FileDescriptor to read from.
encodingMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
EncodingPrintWriter - Class in edu.stanford.nlp.io: A convenience IO class with print and println statements to standard output and standard error allowing encoding in an arbitrary character set.
EncodingPrintWriter.err - Class in edu.stanford.nlp.io: Print methods wrapped around System.err
EncodingPrintWriter.out - Class in edu.stanford.nlp.io: Print methods wrapped around System.out
end() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
end() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
end(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
end(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
end(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
end(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult: Returns the index of the next element after the subsequence captured by the given group during this match.
end - Variable in class edu.stanford.nlp.parser.common.ParserConstraint
end - Variable in class edu.stanford.nlp.parser.lexparser.Item
end - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
end - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve.MentionData
end() - Method in class edu.stanford.nlp.time.SUTime.Range
end - Variable in class edu.stanford.nlp.time.Timex.Range
end() - Method in class edu.stanford.nlp.trees.Constituent: access end node.
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent: access end node.
end(String) - Method in class edu.stanford.nlp.util.Timing: Print the timing done message with elapsed time in x.y seconds.
END_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
END_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
END_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
ENDCHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
endDocument() - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
endDoing() - Static method in class edu.stanford.nlp.util.Timing: Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
endDoing(String) - Static method in class edu.stanford.nlp.util.Timing: Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
endElement(String, String, String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
endIndex - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention: One past the end word number within the sentence, indexed from 1
endIndex - Variable in class edu.stanford.nlp.coref.data.Mention
endIndex - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention: One past the end word number, indexed from 1
endIndex - Variable in class edu.stanford.nlp.dcoref.Mention
ENDINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
ENDINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
ENDINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
endNode - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
endOfQueue() - Method in class edu.stanford.nlp.parser.shiftreduce.State
endOfTagMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
endPoint() - Method in class edu.stanford.nlp.time.Timex
ENDPOINT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
endPosition() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the ending char offset of the label (or -1 if none).
endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset: Return the ending char offset of the label (or -1 if none).
endPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
endPosition() - Method in class edu.stanford.nlp.simple.Token
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood: Signal that all threads have run to completion, and the multithreaded environment is over.
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endTime() - Method in class edu.stanford.nlp.time.SUTime.Range
endTime() - Static method in class edu.stanford.nlp.util.Timing: Return elapsed time on (static) timer (without stopping timer).
endTime(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing: Print elapsed time on (static) timer (without stopping timer).
endTime(String) - Static method in class edu.stanford.nlp.util.Timing: Print elapsed time on (static) timer to System.err (without stopping timer).
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood: End a "track;" that is, return to logging at one level shallower.
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood: A utility method for closing calls to the anonymous startTrack() call.
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endTrackIfOpen(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endTracksTo(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
endTracksUntil(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
enforceLosslessSerialization - Variable in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: If true, serialization is guaranteed to be lossless or else a runtime exception is thrown at serialization time.
ENGLISH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
English_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: English = 4;
EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees: EnglishGrammaticalRelations is a set of GrammaticalRelation objects for the English language.
EnglishGrammaticalStructure - Class in edu.stanford.nlp.trees: A GrammaticalStructure for English.
EnglishGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Construct a new EnglishGrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: This gets used by GrammaticalStructureFactory (by reflection).
EnglishGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Construct a new GrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Used for postprocessing CoNLL X dependencies
EnglishGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees
EnglishGrammaticalStructureFactory - Class in edu.stanford.nlp.trees
EnglishGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
EnglishGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
EnglishGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
EnglishMWTCombiner - Class in edu.stanford.nlp.trees.ud
EnglishMWTCombiner() - Constructor for class edu.stanford.nlp.trees.ud.EnglishMWTCombiner
EnglishPatterns - Class in edu.stanford.nlp.trees: This class contains some English String or Tregex regular expression patterns.
EnglishPTBTreebankCorrector - Class in edu.stanford.nlp.trees.treebank: Correct some of the errors in the LDC99T42 Penn Treebank 3.
EnglishPTBTreebankCorrector() - Constructor for class edu.stanford.nlp.trees.treebank.EnglishPTBTreebankCorrector
EnglishSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
EnglishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: Parser parameters for the Penn English Treebank (WSJ, Brown, Switchboard).
EnglishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
EnglishTreebankParserParams.EnglishSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
EnglishTreebankParserParams.EnglishTest - Class in edu.stanford.nlp.parser.lexparser
EnglishTreebankParserParams.EnglishTrain - Class in edu.stanford.nlp.parser.lexparser
EnglishUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: This is a basic unknown word model for English.
EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel: This constructor creates an UWM with empty data structures.
EnglishUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
EnglishUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
englishWordsFiles - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: English words that are not labeled when labeling using seed dictionaries
enhance(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.SemanticGraphEnhancer: Performs all the enhancements in the following order: Process quantificational modifiers Collapse verbs with particles, and compound nouns. Resolve pronouns. Resolve plural nouns.
enhanceConjuncts - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
ENHANCED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure: Options for "Enhanced" representation: Process multi-word prepositions: No Add prepositions to relation labels: Yes Add prepositions only to nmod relations: No Add coordinating conjunctions to relation labels: Yes Propagate dependents: Yes Add "referent" relations: Yes Add copy nodes for conjoined Ps and PPs: No Turn quantificational modifiers into flat MWEs: No Add relations between controlling subject and controlled verbs: Yes
ENHANCED_PLUS_PLUS_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure: Options for "Enhanced++" representation: Process multi-word prepositions: Yes Add prepositions to relation labels: Yes Add prepositions only to nmod relations: No Add coordinating conjunctions to relation labels: Yes Propagate dependents: Yes Add "referent" relations: Yes Add copy nodes for conjoined Ps and PPs: Yes Turn quantificational modifiers into flat MWEs: Yes Add relations between controlling subject and controlled verbs: Yes
ENHANCEDDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
EnhancedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation
enhancedDependency - Variable in class edu.stanford.nlp.coref.data.Mention
enhanceDependencies(Pattern, Annotation) - Static method in class edu.stanford.nlp.trees.ud.ProcessUniversalEnhancerRequest: Enhance the dependencies on a single sentence, using the given relative pronouns pattern
ENHANCEDPLUSPLUSDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
EnhancedPlusPlusDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation
ENHANCEDSENTENCE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
EnhancedSentenceAnnotation() - Constructor for class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils.EnhancedSentenceAnnotation
enhanceEnglishDependencies(Annotation) - Static method in class edu.stanford.nlp.trees.ud.ProcessUniversalEnhancerRequest: Enhance the dependencies on a single sentence, using the English-specific rules for enhancement
enhanceGraph(SemanticGraph, SemanticGraph, boolean, Embedding, Pattern) - Static method in class edu.stanford.nlp.trees.ud.UniversalEnhancer
EnhancementOptions - Class in edu.stanford.nlp.trees.ud: Options for enhancing a basic dependency tree.
EnhancementOptions(boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions: Constructor.
EnhancementOptions(EnhancementOptions) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions
enhanceOnlyNmods - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
enhancePrepositionalModifiers - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
enRepairEdges(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
ensure(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
ensureDir(File) - Static method in class edu.stanford.nlp.io.IOUtils: Given a filepath, makes sure a directory exists there.
ensureFeature(String) - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace: An optimization, this lets clients inform the ConcatVectorNamespace of how many features to expect, so that we can avoid resizing ConcatVectors.
ensureKeys(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: ensures that counter t has all keys in keys.
ensureList(U) - Method in class edu.stanford.nlp.util.MapList
ensurePrerequisiteAnnotators(String[], Properties) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Take a collection of requested annotators, and produce a list of annotators such that all of the prerequisites for each of the annotators in the input is met.
ensureRealValues() - Method in class edu.stanford.nlp.classify.RVFDataset: Checks if the dataset has any unbounded values.
ensureServer() - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator: Ensure that the server we're trying to connect to exists.
ensureSize() - Method in class edu.stanford.nlp.classify.Dataset
ensureSize() - Method in class edu.stanford.nlp.classify.WeightedDataset
ensureSparseFeature(String, String) - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace: An optimization, this lets clients inform the ConcatVectorNamespace of how many sparse feature components to expect, again so that we can avoid resizing ConcatVectors.
ENTAILEDCLAUSE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
EntailedClausesAnnotation() - Constructor for class edu.stanford.nlp.naturalli.NaturalLogicAnnotations.EntailedClausesAnnotation
ENTAILEDSENTENCE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
EntailedSentencesAnnotation() - Constructor for class edu.stanford.nlp.naturalli.NaturalLogicAnnotations.EntailedSentencesAnnotation
entailmentsFromClause(SentenceFragment) - Method in class edu.stanford.nlp.naturalli.OpenIE: Returns all of the entailed shortened clauses (as per natural logic) from the given clause.
entailmentsFromClauses(Collection<SentenceFragment>) - Method in class edu.stanford.nlp.naturalli.OpenIE: Returns all the maximally shortened entailed fragments (as per natural logic) from the given collection of clauses.
Entity - Class in edu.stanford.nlp.ie.machinereading.structure: Entity holds a map from entity to entity mentions.
Entity() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Entity
entity() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: return the entity this entity mention is linked to
ENTITY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
ENTITY_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.EntityExtractor
entityAlias(CorefCluster, CorefCluster, Semantics, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityAlias(CorefCluster, CorefCluster, Semantics, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
entityAttributesAgree(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules
entityAttributesAgree(CorefCluster, CorefCluster, boolean) - Static method in class edu.stanford.nlp.coref.CorefRules
entityAttributesAgree(CorefCluster, CorefCluster, Locale) - Static method in class edu.stanford.nlp.coref.CorefRules
entityAttributesAgree(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
entityAttributesAgree(CorefCluster, CorefCluster, boolean) - Static method in class edu.stanford.nlp.dcoref.Rules
entityBothHaveProper(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules
entityBothHaveProper(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
EntityCachingAbstractSequencePrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie: This class keeps track of all labeled entities and updates its list whenever the label at a point gets changed.
EntityCachingAbstractSequencePrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
EntityCachingAbstractSequencePriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie: This class keeps track of all labeled entities and updates the its list whenever the label at a point gets changed.
EntityCachingAbstractSequencePriorBIO(String, Index<String>, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
entityClassifier - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
EntityClassifier - Class in edu.stanford.nlp.scenegraph
EntityClassifier(String) - Constructor for class edu.stanford.nlp.scenegraph.EntityClassifier
entityClusterAllCorefDictionary(CorefCluster, CorefCluster, Dictionaries, int, int) - Static method in class edu.stanford.nlp.coref.CorefRules
entityClusterAllCorefDictionary(CorefCluster, CorefCluster, Dictionaries, int, int) - Static method in class edu.stanford.nlp.dcoref.Rules
entityCorefDictionary(Mention, Mention, Dictionaries, int, int) - Static method in class edu.stanford.nlp.coref.CorefRules
entityCorefDictionary(Mention, Mention, Dictionaries, int, int) - Static method in class edu.stanford.nlp.dcoref.Rules
entityDifferentSpeaker(Document, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entityExactStringMatch(CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.coref.CorefRules
entityExactStringMatch(Mention, Mention, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.coref.CorefRules
entityExactStringMatch(CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.dcoref.Rules
EntityExtractor - Class in edu.stanford.nlp.scenegraph
EntityExtractor() - Constructor for class edu.stanford.nlp.scenegraph.EntityExtractor
EntityExtractorResultsPrinter - Class in edu.stanford.nlp.ie.machinereading
EntityExtractorResultsPrinter() - Constructor for class edu.stanford.nlp.ie.machinereading.EntityExtractorResultsPrinter
EntityExtractorResultsPrinter(Set<String>, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.EntityExtractorResultsPrinter
entityGazetteerPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
entityHaveDifferentLocation(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityHaveDifferentLocation(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
entityHaveExtraProperNoun(Mention, Mention, Set<String>) - Static method in class edu.stanford.nlp.coref.CorefRules: Have extra proper noun except strings involved in semantic match
entityHaveExtraProperNoun(Mention, Mention, Set<String>) - Static method in class edu.stanford.nlp.dcoref.Rules: Have extra proper noun except strings involved in semantic match
entityHaveIncompatibleModifier(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules: Compatible modifier only
entityHaveIncompatibleModifier(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules: Check whether later mention has incompatible modifier
entityHaveIncompatibleModifier(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules: Compatible modifier only
entityHaveIncompatibleModifier(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules: Check whether later mention has incompatible modifier
entityHeadsAgree(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityHeadsAgree(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
entityIsAcronym(Document, CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules
entityIsAcronym(Document, CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
entityIsApposition(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entityIsApposition(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
entityIsPredicateNominatives(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entityIsPredicateNominatives(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
entityIsRelativePronoun(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entityIsRelativePronoun(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
entityIsRoleAppositive(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityIsRoleAppositive(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
entityIWithinI(CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityIWithinI(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules: Check whether two mentions are in i-within-i relation (Chomsky, 1981)
entityIWithinI(CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
entityIWithinI(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules: Check whether two mentions are in i-within-i relation (Chomsky, 1981)
entityMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
entityMatrixCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
entityMatrixEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
EntityMention - Class in edu.stanford.nlp.ie.machinereading.structure: Each entity mention is described by a type (possibly subtype) and a span of text
EntityMention(String, CoreMap, Span, Span, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EntityMention
entityMentionFactory - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
EntityMentionFactory - Class in edu.stanford.nlp.ie.machinereading.structure
EntityMentionFactory() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EntityMentionFactory
ENTITYMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
ENTITYMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
EntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionIndexAnnotation
entityMentions(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Annotate mentions
entityMentions() - Method in class edu.stanford.nlp.pipeline.CoreDocument: the list of entity mentions in this document
entityMentions() - Method in class edu.stanford.nlp.pipeline.CoreSentence: list of entity mentions
EntityMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EntityMentionsAnnotation
EntityMentionsAnnotator - Class in edu.stanford.nlp.pipeline: Annotator that marks entity mentions in a document.
EntityMentionsAnnotator() - Constructor for class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
EntityMentionsAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
entityMentionsToCharacterMap(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator: if no character list is provided, produce a list of person names from entity mentions annotation
entityMentionsToCoreLabels(CoreMap, Set<String>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils: Converts the labels of all entity mentions in this dataset to sequences of CoreLabels.
ENTITYMENTIONTEXT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
EntityMentionToCorefMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation
ENTITYMENTIONTOCOREFMENTIONMAPPINGS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
entityNumberInLaterMention(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules: Check whether there is a new number in later mention
entityNumberInLaterMention(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules: Check whether there is a new number in later mention
entityPersonCompatible(Document, CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityPersonCompatible(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityPersonDisagree(Document, CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityPersonDisagree(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
entityPersonDisagree(Document, CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
entityPersonDisagree(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
entityRelaxedExactStringMatch(CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.coref.CorefRules: Exact string match except phrase after head (only for proper noun): For dealing with a error like {@literal "[Mr.
entityRelaxedExactStringMatch(CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.dcoref.Rules: Exact string match except phrase after head (only for proper noun): For dealing with a error like {@literal "[Mr.
entityRelaxedHeadsAgreeBetweenMentions(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entityRelaxedHeadsAgreeBetweenMentions(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
entityResultsPrinters - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
entitySameProperHeadLastWord(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entitySameProperHeadLastWord(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules: Check whether two mentions have the same proper head words
entitySameProperHeadLastWord(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
entitySameProperHeadLastWord(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules: Check whether two mentions have the same proper head words
entitySameSpeaker(Document, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules: Do the mentions share the same speaker?
entitySameSpeaker(Document, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules: Do the mentions share the same speaker?
entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
entitySubclassify(List<TOK>, Class<? extends TypesafeMap.Key<String>>, String, String, boolean) - Static method in class edu.stanford.nlp.sequences.IOBUtils: This can be used to map from any IOB-style (i.e., "I-PERS" style labels) or just categories representation to any other.
entitySubjectObject(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entitySubjectObject(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
entityTokenDistance(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
entityTokenDistance(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
entityType - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType: The entity type (left arg type) associated with this relation.
entityType() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: return the type of the entity mention
ENTITYTYPE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
entityTypeConfidences() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: return a map of labels to confidences
entityTypesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
entityTypesAgree(Mention, Dictionaries, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
entityTypesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
entityTypesAgree(Mention, Dictionaries, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
entityWordsIncluded(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules: Word inclusion except stop words
entityWordsIncluded(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules: Word inclusion except stop words
entropy(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
entropy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Calculates the entropy of the given counter (in bits).
entrySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
entrySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
entrySet() - Method in class edu.stanford.nlp.neural.Embedding
entrySet() - Method in class edu.stanford.nlp.parser.shiftreduce.WeightMap
entrySet() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns a view of the entries in this counter.
entrySet() - Method in interface edu.stanford.nlp.stats.Counter: Returns a view of the entries in this counter.
entrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Returns the set of entries in the GeneralizedCounter.
entrySet() - Method in class edu.stanford.nlp.stats.IntCounter: Returns a view of the doubles in this map.
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
entrySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap: Each element of the Set is a Map.Entry object, where getKey() returns the key of the mapping, and getValue() returns the Collection mapped to by the key.
entrySet() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
entrySet() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap: This is cheap.
entrySet() - Method in class edu.stanford.nlp.util.DeltaMap: This is cheap.
entrySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
entrySetLeftAsKey() - Method in class edu.stanford.nlp.util.OneToOneMap
entrySetRightAsKey() - Method in class edu.stanford.nlp.util.OneToOneMap
enumerationsMentionPattern - Static variable in class edu.stanford.nlp.coref.md.CorefMentionFinder: Extract enumerations (A, B, and C)
Env - Class in edu.stanford.nlp.ling.tokensregex: Holds environment variables to be used for compiling string into a pattern.
Env(SequencePattern.Parser) - Constructor for class edu.stanford.nlp.ling.tokensregex.Env
env - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Environment for TokenSequencePattern
Env - Class in edu.stanford.nlp.semgraph.semgrex
Env() - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
Env(Map<String, Object>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
env - Variable in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Env.Binder - Interface in edu.stanford.nlp.ling.tokensregex: Interface for performing custom binding of values to the environment
EnvLookup - Class in edu.stanford.nlp.ling.tokensregex: Provides lookup functions using an Env
EOL - Static variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException: The end of line string for this machine.
EOL - Static variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException: The end of line string for this machine.
EOL - Static variable in exception edu.stanford.nlp.trees.tregex.ParseException: The end of line string for this machine.
EOL - Static variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: The end of line string for this machine.
EOL_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.TokenizerAnnotator
eolChar - Static variable in class edu.stanford.nlp.io.IOUtils
eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
EOS_TAG - Static variable in class edu.stanford.nlp.tagger.common.Tagger
EOS_WORD - Static variable in class edu.stanford.nlp.tagger.common.Tagger
EPEOutputter - Class in edu.stanford.nlp.pipeline: Output dependency annotations in the format for the EPE task at Depling 2017.
EPEOutputter() - Constructor for class edu.stanford.nlp.pipeline.EPEOutputter
epochs(int) - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel.Builder
epochs - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions: Number of times through all the trees
eps - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve: Only used in the IIS optimization routines.
EPS - Variable in class edu.stanford.nlp.optimization.SparseAdaGradMinimizer
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
epsilon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
EPSILON_INPUT - Static variable in class edu.stanford.nlp.fsm.TransducerGraph
equalContents(int[][], int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Tests two int[][] arrays for having equal contents.
equalContents(int[], int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: tests two int[] arrays for having equal contents
equalContext(Pattern) - Method in class edu.stanford.nlp.patterns.dep.DepPattern
equalContext(Pattern) - Method in class edu.stanford.nlp.patterns.Pattern
equalContext(Pattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
equalContext(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
equals(Object) - Method in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
equals(Object) - Method in class edu.stanford.nlp.coref.data.CorefChain
equals(Object) - Method in class edu.stanford.nlp.coref.data.Mention
equals(Object) - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
equals(Object) - Method in class edu.stanford.nlp.dcoref.CorefChain
equals(Object) - Method in class edu.stanford.nlp.fsm.DFSAState
equals(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
equals(Object) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFDatum: Returns whether the given Datum contains the same features as this Datum.
equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
equals(EntityMention, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.Alignment
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
equals(Object) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
equals(Object) - Method in class edu.stanford.nlp.ie.util.RelationTriple
equals(Object) - Method in class edu.stanford.nlp.ling.BasicDatum: Returns whether the given Datum contains the same features as this Datum.
equals(Object) - Method in class edu.stanford.nlp.ling.IndexedWord: This .equals is dependent only on docID, sentenceIndex, emptyIndex, and index.
equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag
equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag.Tag
equals(Object) - Method in class edu.stanford.nlp.ling.RVFDatum: Returns whether the given RVFDatum contains the same features with the same values as this RVFDatum.
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel: Equality for ValueLabels is defined in the first instance as equality of their String value().
equals(Object) - Method in class edu.stanford.nlp.ling.WordLemmaTag: Equality is satisfied only if the compared object is a WordLemmaTag and has String-equal word, lemma and tag fields.
equals(Object) - Method in class edu.stanford.nlp.ling.WordTag: A WordTag is equal only to another WordTag with the same word and tag values.
equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
equals(Object) - Method in class edu.stanford.nlp.math.DoubleAD
equals(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
equals(double, double, double) - Method in class edu.stanford.nlp.math.DoubleAD
equals(Object) - Method in class edu.stanford.nlp.naturalli.OperatorSpec
equals(Object) - Method in class edu.stanford.nlp.naturalli.Polarity
equals(Object) - Method in class edu.stanford.nlp.naturalli.SentenceFragment
equals(Object) - Method in class edu.stanford.nlp.neural.VectorMap
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Edge
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Hook: Hooks are equal if they have same state, substate, head, tag, start, and end.
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule: A UnaryRule is equal to another UnaryRule with the same parent and child.
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
equals(Object) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
equals(Object) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables.ScorePhraseMeasures
equals(Object) - Method in class edu.stanford.nlp.patterns.dep.DepPattern
equals(Object) - Method in class edu.stanford.nlp.patterns.dep.ExtractedPhrase
equals(Object) - Method in class edu.stanford.nlp.patterns.surface.PatternToken
equals(Object) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
equals(Object) - Method in class edu.stanford.nlp.patterns.surface.Token
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
equals(Object) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP.AnnotatorSignature
equals(Object) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve.MentionData
equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageBoundingBox
equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageObject
equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRelationship
equals(Object) - Method in class edu.stanford.nlp.scenegraph.SceneGraphAttribute
equals(Object) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
equals(Object) - Method in class edu.stanford.nlp.scenegraph.SceneGraphRelation
equals(SemanticGraphEdge, SemanticGraphEdge, SemanticGraph, SemanticGraph) - Method in interface edu.stanford.nlp.semgraph.ISemanticGraphEdgeEql
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphUtils.PositionedTree
equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment: Defined on map only.
equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
equals(SsurgeonEdit) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit
equals(Object) - Method in class edu.stanford.nlp.simple.Document
equals(Object) - Method in class edu.stanford.nlp.simple.Sentence
equals(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter: Equality is defined over all Counter implementations.
equals(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Default equality comparison for two counters potentially backed by alternative implementations.
equals(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: Equality comparison between two counters, allowing for a tolerance fudge factor.
equals(Object) - Method in class edu.stanford.nlp.stats.Distribution
equals(Distribution<E>) - Method in class edu.stanford.nlp.stats.Distribution
equals(Object) - Method in class edu.stanford.nlp.stats.Gamma
equals(Object) - Method in class edu.stanford.nlp.stats.IntCounter
equals(Object) - Method in class edu.stanford.nlp.stats.Multinomial
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper: Equality is tested only on the word, and not the various counts that are maintained.
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.History
equals(Object) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
equals(Object) - Method in class edu.stanford.nlp.time.Timex
equals(Object) - Method in class edu.stanford.nlp.trees.CollinsDependency
equals(Object) - Method in class edu.stanford.nlp.trees.CollinsRelation
equals(Object) - Method in class edu.stanford.nlp.trees.Constituent: Compare with another Object for equality.
equals(Object) - Method in class edu.stanford.nlp.trees.GrammaticalRelation: Grammatical relations are equal with other grammatical relations if they have the same shortName and specific (if present).
equals(Object) - Method in class edu.stanford.nlp.trees.NamedDependency
equals(Span) - Method in class edu.stanford.nlp.trees.Span: An overloading for efficiency for when you know that you're comparing with a Span.
equals(Object) - Method in class edu.stanford.nlp.trees.Tree: Implements equality for Tree's.
equals(Object) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Implements equality for TreeGraphNodes.
equals(Object) - Method in class edu.stanford.nlp.trees.TypedDependency
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
equals(Object) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Two CoreMaps are equal iff all keys and values are .equal.
equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
equals(Object) - Method in class edu.stanford.nlp.util.ArrayStringFilter
equals(double[][], double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Tests two double[][] arrays for having equal contents.
equals(boolean[][], boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Tests two boolean[][] arrays for having equal contents.
equals(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
equals(Object) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
equals(Object) - Method in class edu.stanford.nlp.util.HashableCoreMap: If the provided object is a HashableCoreMap, equality is based only upon the values of the immutable hashkeys; otherwise, defaults to behavior of the superclass's equals method.
equals(Object) - Method in class edu.stanford.nlp.util.HashIndex
equals(Object) - Method in class edu.stanford.nlp.util.IntArray
equals(Object) - Method in class edu.stanford.nlp.util.Interval
equals(Object) - Method in class edu.stanford.nlp.util.IntPair
equals(Object) - Method in class edu.stanford.nlp.util.IntTuple
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
equals(Redwood.Record, Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
equals(Object) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass
equals(Object) - Method in class edu.stanford.nlp.util.MutableDouble: Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.MutableInteger: Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.MutableLong: Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.Pair
equals(Object) - Method in class edu.stanford.nlp.util.Quadruple
equals(Object) - Method in class edu.stanford.nlp.util.Quintuple
equals(Object) - Method in class edu.stanford.nlp.util.RegexStringFilter
equals(Object) - Method in class edu.stanford.nlp.util.ScoredComparator
equals(Object) - Method in class edu.stanford.nlp.util.TreeShapedStack
equals(Object) - Method in class edu.stanford.nlp.util.Trilean: Returns whether this Trilean is equal either to the given Trilean, or the given Boolean.
equals(Object) - Method in class edu.stanford.nlp.util.Triple
equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
equals(Object) - Method in class edu.stanford.nlp.util.UnorderedPair
EQUALS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
equalsBinary(List<BinaryRule>, List<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.CollinsDependency
equalsIgnoreName(Object) - Method in interface edu.stanford.nlp.trees.Dependency: Are two dependencies equal if you ignore the dependency name.
equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
EqualsNodePattern(T) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
equalsUnary(List<UnaryRule>, List<UnaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
EQUIVALENCE_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation: EQUIVALENCE = 0;
equivalenceClass(IN) - Method in interface edu.stanford.nlp.stats.EquivalenceClasser
equivalenceClass(Object) - Method in class edu.stanford.nlp.trees.WordCatEquivalenceClasser
EquivalenceClasser<IN,OUT> - Interface in edu.stanford.nlp.stats: A strategy-type interface for specifying a function from Objects to their equivalence classes.
equivalenceClasses - Variable in class edu.stanford.nlp.sentiment.RNNOptions: The following option represents classes which can be treated as equivalent when scoring.
EquivalenceClassEval<IN,OUT> - Class in edu.stanford.nlp.stats: A class for calculating precision and recall statistics based on comparisons between two Collections.
EquivalenceClassEval() - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval: Specifies a default EquivalenceClassEval, using Object.equals(java.lang.Object) as equality criterion and grouping all items into the "null" equivalence class for reporting purposes
EquivalenceClassEval(EquivalenceClasser<IN, OUT>) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval: Specifies an EquivalenceClassEval using Object.equals(java.lang.Object) as equality criterion and grouping all items according to the EquivalenceClasser argument.
EquivalenceClassEval(EquivalenceClassEval.EqualityChecker<IN>) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval: Specifies an EquivalenceClassEval using the Eval.EqualityChecker argument as equality criterion and grouping all items into a single equivalence class for reporting statistics.
EquivalenceClassEval(EquivalenceClasser<IN, OUT>, String) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval: Specifies an EquivalenceClassEval using Object.equals(java.lang.Object) as equality criterion and grouping all items according to the EquivalenceClasser argument.
EquivalenceClassEval(EquivalenceClasser<IN, OUT>, EquivalenceClassEval.EqualityChecker<IN>) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval: Specifies an EquivalenceClassEval using the Eval.EqualityChecker argument as equality criterion and grouping all items according to the EquivalenceClasser argument.
EquivalenceClassEval(EquivalenceClasser<IN, OUT>, EquivalenceClassEval.EqualityChecker<IN>, String) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval: Specifies an EquivalenceClassEval using the Eval.EqualityChecker argument as equality criterion and grouping all items according to the EquivalenceClasser argument.
equivalenceClassEval() - Method in interface edu.stanford.nlp.stats.EquivalenceClassEval.Factory
EquivalenceClassEval.EqualityChecker<T> - Interface in edu.stanford.nlp.stats: A strategy-type interface for specifying an equality criterion for pairs of Objects.
EquivalenceClassEval.Factory<IN,OUT> - Interface in edu.stanford.nlp.stats
equivalenceClassNames - Variable in class edu.stanford.nlp.sentiment.RNNOptions
era - Variable in class edu.stanford.nlp.time.SUTime.IsoDate: Era: BC is era 0, AD is era 1, Unknown is -1
ERA_AD - Static variable in class edu.stanford.nlp.time.SUTime
ERA_BC - Static variable in class edu.stanford.nlp.time.SUTime
ERA_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
ErasureUtils - Class in edu.stanford.nlp.util: Class to gather unsafe operations into one place.
err() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
err(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
err(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
errf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels: Log to the error channel.
error - Variable in exception edu.stanford.nlp.graph.CyclicGraphException
error(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
error(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
errorLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration: Run Redwood with SLF4J if available, otherwise with stderr logging at the error only level.
errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
errorMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
escape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils: Escapes tokens from flat strings that are reserved for usage in the ATB.
escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a String in which some XML special characters have been escaped.
escapeChar(String, char) - Static method in class edu.stanford.nlp.process.LexerUtils: This quotes a character with a backslash, but doesn't do it if the character is already preceded by a backslash.
escapeElementXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a String in which some the XML special characters have been escaped: just the ones that need escaping in an element content.
escapeJsonString(String) - Static method in class edu.stanford.nlp.util.StringUtils
escaper - Variable in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
escaper - Variable in class edu.stanford.nlp.parser.nndep.Config: Defines a word-escaper to use when parsing raw sentences.
escapeString(String) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
escapeTextAroundXMLTags(String) - Static method in class edu.stanford.nlp.util.XMLUtils
escapeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils: Returns a String in which all the XML special characters have been escaped.
estimateInitial - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
eta - Variable in class edu.stanford.nlp.optimization.SparseAdaGradMinimizer
ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "etc" grammatical relation.
ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "etc" grammatical relation.
ETC_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
ETC_PAT_target - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
EURO - Static variable in class edu.stanford.nlp.ie.qe.Units.Currencies
Eval - Interface in edu.stanford.nlp.parser.metrics: An interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done.
eval(List<Tree>) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
eval(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
eval(Tree) - Method in class edu.stanford.nlp.sentiment.Evaluate
eval(Collection<IN>, Collection<IN>) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval: Adds a round of evaluation between guesses and golds Collections to the tabulated statistics of the evaluation.
eval(Collection<IN>, Collection<IN>, PrintWriter) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
evalb - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Write EvalB-readable output files.
Evalb - Class in edu.stanford.nlp.parser.metrics: A Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input.
Evalb(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb
Evalb.CBEval - Class in edu.stanford.nlp.parser.metrics
EvalbByCat - Class in edu.stanford.nlp.parser.metrics: Computes labeled precision and recall (evalb) at the constituent category level.
EvalbByCat(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
EvalbByCat(String, boolean, String) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
EvalbFormatWriter - Class in edu.stanford.nlp.parser.metrics
EvalbFormatWriter() - Constructor for class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
evalBIgnoredPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalCmd - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
evalGF - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: If true, then evaluation is over grammatical functions as well as the labels If false, then grammatical functions are stripped for evaluation.
evalPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: If using a kBest eval, use this many trees.
evalPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config: During training, run a full UAS evaluation after every evalPerIter iterations.
evals - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: What evaluations to report and how to report them (using LexicalizedParser).
evaluate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
evaluate(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
evaluate(Env, Object...) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression: Evaluates the expression using the specified environment and arguments.
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.IfExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
evaluate(double[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
evaluate(double[]) - Method in interface edu.stanford.nlp.optimization.Evaluator
evaluate(double[]) - Method in class edu.stanford.nlp.optimization.MemoryEvaluator
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
evaluate(List<Tree>, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.CollinsDepEval
evaluate(Tree, Tree) - Method in interface edu.stanford.nlp.parser.metrics.Eval
evaluate(Tree, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
evaluate(Tree, Tree, PrintWriter, double) - Method in interface edu.stanford.nlp.parser.metrics.Eval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
evaluate(ParserQuery, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.ParserQueryEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
evaluate(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem: Evaluate performance on a list of sentences, predicted parses, and gold parses.
evaluate(ParserQuery, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TransitionTypeEval
evaluate(ParserQuery, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TreeRecorder
evaluate - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
evaluate(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
evaluate(SceneGraph, SceneGraphImageRegion) - Method in class edu.stanford.nlp.scenegraph.SceneGraphEvaluation
evaluate(SceneGraphImageRegion, SceneGraphImageRegion) - Method in class edu.stanford.nlp.scenegraph.SceneGraphEvaluation
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep: TODO: bombproof if this gov, dep, and reln already exist.
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge: If the edge already exists in the graph, a new edge is not added.
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CollapseSubtree
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CombineMWT: Combine the nodes named in the expression, as long as they are all in a row
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteLeaf: If executed twice on the same node, the second time there will be no further updates
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.EditNode
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.KillAllIncomingEdges: If executed twice on the same node, the second time there will be no further updates
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.KillNonRootedNodes: If executed twice on the same graph, the second time there will be no further updates
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Lemmatize
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.MergeNodes: If the two named nodes are next to each other, and the edges of the graph allow for it, squish the two words into one word
evaluate(IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
evaluate(IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.WordlistTest: Checks to see if the given node's field matches the resource
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReattachNamedEdge: "Reattach" the named edge by removing it and then recreating it with the new gov and/or dep
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReindexGraph
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RelabelNamedEdge: "Rename" the named edge by removing it and then recreating it
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge: Remove all edges from gov to dep that match the relation name.
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveNamedEdge: Removes the named edge from the graph, if it exists.
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SetRoots: If executed twice on the same graph, the second time there will be no further updates
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SplitWord
evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit: Given a matching instance (via the SemgrexMatcher), performs an in-place modification on the given SemanticGraph.
Evaluate - Class in edu.stanford.nlp.sentiment
Evaluate(SentimentModel) - Constructor for class edu.stanford.nlp.sentiment.Evaluate
evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher: Evaluates the surgery pattern against a Tree and a TregexMatcher that has been successfully matched against the tree.
evaluateAccuracy(GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier: Evaluate the accuracy of this classifier on the given dataset.
evaluateBackground - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags: When scoring, count the background symbol stats too.
evaluateCmd(String[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
evaluateCoverage(Collection<Tree>, Set<String>, Set<String>, Set<IntTaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Evaluates how many words (= terminals) in a collection of trees are covered by the lexicon.
EvaluateExternalParser - Class in edu.stanford.nlp.parser.metrics
EvaluateExternalParser(String...) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateExternalParser
evaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
evaluatePrecisionAndRecall(GeneralDataset<L, F>, L) - Method in interface edu.stanford.nlp.classify.Classifier: Evaluates the precision and recall of this classifier against a dataset, and the target label.
evaluateTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
EvaluateTreebank - Class in edu.stanford.nlp.parser.metrics
EvaluateTreebank(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateTreebank
EvaluateTreebank(Options, Lexicon, ParserGrammar) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateTreebank
EvaluateTreebank(Options, Lexicon, ParserQueryFactory, Function<List<? extends HasWord>, List<TaggedWord>>, List<Eval>, List<ParserQueryEval>) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateTreebank
EvaluateTreebank.EvaluationDataset - Interface in edu.stanford.nlp.parser.metrics: Wrapper for a way to pass in a dataset which may need reprocessing to get parse results
EvaluateTreebank.PreparsedEvaluationDataset - Class in edu.stanford.nlp.parser.metrics: Wrapper for a dataset which was already parsed, such as that passed in to EvaluateExternalParser.
EvaluateTreebank.TreebankEvaluationDataset - Class in edu.stanford.nlp.parser.metrics
EvaluationMetric - Class in edu.stanford.nlp.parser.metrics: A general class that scores precision, recall, and F1.
EvaluationMetric() - Constructor for class edu.stanford.nlp.parser.metrics.EvaluationMetric
Evaluator - Interface in edu.stanford.nlp.optimization
EvalUtils - Class in edu.stanford.nlp.coref.statistical: Utility classes for computing the B^3 and MUC coreference metrics
EvalUtils() - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils
EvalUtils.AbstractEvaluator - Class in edu.stanford.nlp.coref.statistical
EvalUtils.B3Evaluator - Class in edu.stanford.nlp.coref.statistical
EvalUtils.CombinedEvaluator - Class in edu.stanford.nlp.coref.statistical
EvalUtils.Evaluator - Interface in edu.stanford.nlp.coref.statistical
EvalUtils.MUCEvaluator - Class in edu.stanford.nlp.coref.statistical
EVENING - Static variable in class edu.stanford.nlp.time.SUTime
EVENING_TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
Event - Class in edu.stanford.nlp.ie.machinereading.structure: Event holds a map from event to event mentions.
Event() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Event
EventMention - Class in edu.stanford.nlp.ie.machinereading.structure
EventMention(String, CoreMap, Span, String, String, ExtractionObject, List<ExtractionObject>, List<String>) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EventMention
EventMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EventMentionsAnnotation
eventResultsPrinters - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
everLive - Variable in class edu.stanford.nlp.pipeline.WebServiceAnnotator: If true, we have connected to the server at some point.
exact - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
EXACT - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
EXACT_ARG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
ExactAutomatonMinimizer - Class in edu.stanford.nlp.fsm: Minimization of a FA in n log n a la Hopcroft.
ExactAutomatonMinimizer(boolean) - Constructor for class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
ExactAutomatonMinimizer() - Constructor for class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
ExactBestSequenceFinder - Class in edu.stanford.nlp.sequences: A class capable of computing the best sequence given a SequenceModel.
ExactBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.ExactBestSequenceFinder
exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath: Find a one tailed exact binomial test probability.
ExactGrammarCompactor - Class in edu.stanford.nlp.parser.lexparser
ExactGrammarCompactor(Options, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
ExactMatchCost<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher: Exact match cost function
ExactMatchCost() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
ExactMatchCost(double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
ExactMatchCost(double, double, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
exactNodeAccuracy() - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
ExactRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
exactRequirements() - Method in interface edu.stanford.nlp.pipeline.Annotator
exactRequirements() - Method in class edu.stanford.nlp.pipeline.CorefAnnotator
exactRootAccuracy() - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
ExactStringMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
ExactStringMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ExactStringMatch
ExactStringMatch - Class in edu.stanford.nlp.dcoref.sievepasses
ExactStringMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.ExactStringMatch
examineCRF(ClassifierCombiner, String, SeqClassifierFlags, String, String, DocumentReaderAndWriter<CoreLabel>) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
examineIntersection(Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Example - Class in edu.stanford.nlp.coref.statistical: A representation of a mention-pair for training coreference models.
Example(int, Mention, Mention, double, CompressedFeatureVector) - Constructor for class edu.stanford.nlp.coref.statistical.Example
Example(Example, boolean) - Constructor for class edu.stanford.nlp.coref.statistical.Example
examples - Variable in class edu.stanford.nlp.coref.statistical.DocumentExamples
excelify(String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils: Process string to be a cell in Excel file.
ExceptionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ExceptionAnnotation
ExciseNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon: Excises all nodes from the top to the bottom, and puts all the children of bottom node in where the top was.
ExciseNode(TsurgeonPattern, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode: Top should evaluate to a node that dominates bottom, but this is not checked!
ExciseNode(TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode: Excises only the directed node.
execute(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern: Executes the given sequence of edits against the SemanticGraph.
execute(SemanticGraph, SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern: Executes the Ssurgeon edit, but with the given Semgrex Pattern, instead of the one attached to this pattern.
executeOneTrainingBatch(List<Tree>, IdentityHashMap<Tree, byte[]>, double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
exhaustFromPatterns(List<SsurgeonPattern>, SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon: Similar to the expandFromPatterns, but performs an exhaustive search, performing simplifications on the graphs until exhausted.
ExhaustiveDependencyParser - Class in edu.stanford.nlp.parser.lexparser: An exhaustive O(n⁴t²) time and O(n²t) space dependency parser.
ExhaustiveDependencyParser(DependencyGrammar, Lexicon, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
ExhaustivePCFGParser - Class in edu.stanford.nlp.parser.lexparser: An exhaustive generalized CKY PCFG parser.
ExhaustivePCFGParser(BinaryGrammar, UnaryGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
exhaustiveTest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
exists(Map<String, String>, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken: Verifies if the given string exists in the given dictionary
existsAndNonEmpty(File) - Static method in class edu.stanford.nlp.io.FileSystem: Returns whether a file object both exists and has contents (i.e.
existsInClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils: Check if this path exists either in the classpath or on the filesystem.
existsTable(String) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
exit() - Method in class edu.stanford.nlp.ie.NERGUI
exit(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Exits with a given status code
exit() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Exits with status code 0, stopping Redwood first
exp(double) - Static method in class edu.stanford.nlp.loglinear.inference.TableFactor: Fast approximation of the exp() function.
exp(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
expand(Interval<E>) - Method in class edu.stanford.nlp.util.Interval: Returns (smallest) interval that contains both this and the other interval
expandDependency(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: The dependency arg is still in the full tag space.
expandDependencyMap - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
expandEnvironmentVariables(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils: Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME) with its actual environment variable from the passed environment specification.
expandEnvironmentVariables(String) - Static method in class edu.stanford.nlp.util.StringUtils: Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME) with its actual environment variable from System.getenv().
expandFromPatterns(List<SsurgeonPattern>, SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon: Given a list of SsurgeonPattern edit scripts, and a SemanticGraph to operate over, returns a list of expansions of that graph, with the result of each edit applied against a copy of the graph.
expandMidDot - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
expandNegativesWhenSampling - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
expandPhrases(Tree, TreeNormalizer, TreeFactory) - Method in class edu.stanford.nlp.international.spanish.pipeline.MultiWordTreeExpander: Recognize candidate patterns for expansion in the given tree and perform the expansions.
expandPhrasesNumTopSimilar - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
expandPositivesWhenSampling - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
expandStringRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
expandToInclude(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
expectedCountsAndValueForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
expectedCountsAndValueForADoc(double[][], int, boolean, boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
expectedCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
expectedTokenSequences - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException: Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException: Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.ParseException: Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException: Each entry in this array is an array of integers.
expectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve: Each pair x,y has a value in p.data.values[x][y]
Experiments - Class in edu.stanford.nlp.maxent: This class represents the training samples.
Experiments() - Constructor for class edu.stanford.nlp.maxent.Experiments
Experiments(int[][]) - Constructor for class edu.stanford.nlp.maxent.Experiments: If this constructor is used, the maximum possible class overall is found and all classes are assumed possible for all instances.
Experiments(int[][], int[]) - Constructor for class edu.stanford.nlp.maxent.Experiments: The number of possible classes for each instance is contained in the array maxYs then the possible classes for x are from 0 to maxYs[x]-1.
Experiments(int[][], int) - Constructor for class edu.stanford.nlp.maxent.Experiments
Experiments(String) - Constructor for class edu.stanford.nlp.maxent.Experiments: The filename has format: <data><xSize>xSize</xSize><ySize>ySize</ySize> x1 y1 x2 y2 ..
expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
expInPlace(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
EXPLETIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "expletive" grammatical relation.
EXPLETIVE - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
EXPLETIVE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "expletive" grammatical relation.
ExplicitTemporalSet(SUTime.Temporal...) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
ExplicitTemporalSet(Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
ExplicitTemporalSet(SUTime.ExplicitTemporalSet, Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
exportData(String, CorefProperties.Dataset, Properties, Dictionaries) - Static method in class edu.stanford.nlp.coref.neural.NeuralCorefDataExporter
exportFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
expr - Variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
EXPR_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_LENGTH_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_ORDER_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_PRIORITY_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_TOKEN_OFFSET_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_TOKEN_OFFSETS_NESTED_FIRST_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
EXPR_WEIGHT_SCORER - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
Expression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Expression - Interface in edu.stanford.nlp.ling.tokensregex.types: This interface represents an expression that can be evaluated to obtain a value.
ExpressionExtractorRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Expressions - Class in edu.stanford.nlp.ling.tokensregex.types: Various implementations of the Expression interface, which is used for specifying an "action" or "result" in TokensRegex extraction rules.
Expressions.AndExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.AssignableFunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types: A function call that can be assigned a value.
Expressions.CaseExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.CompositeValue - Class in edu.stanford.nlp.ling.tokensregex.types: A composite value with field names and values for each field
Expressions.ConditionalExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.FieldExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.FunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.IfExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.IndexedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.ListExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.MethodCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.NotExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.OrExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.PrimitiveValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types: Primitive value that is directly represented by a Java object of type T
Expressions.RegexMatchResultVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.RegexMatchVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
Expressions.RegexValue - Class in edu.stanford.nlp.ling.tokensregex.types: A string that represents a regular expression
Expressions.SimpleCachedExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types: A simple implementation of an expression that is represented by a java object of type T and which also has a cached Value stored with it
Expressions.SimpleExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types: A simple implementation of an expression that is represented by a java object of type T
Expressions.SimpleValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types: Simple implementation of Value backed by a java object of type T
Expressions.TypedExpression - Class in edu.stanford.nlp.ling.tokensregex.types: An expression with a typename and tags.
Expressions.VarAssignmentExpression - Class in edu.stanford.nlp.ling.tokensregex.types: A variable assignment with the name of the variable, and the expression to assign to that variable
Expressions.VarExpression - Class in edu.stanford.nlp.ling.tokensregex.types: A variable, which can be assigned any expression.
Expressions.WrappedExpression - Class in edu.stanford.nlp.ling.tokensregex.types: An expression that is a wrapper around another expression.
expressionToValue - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
exSize - Variable in class edu.stanford.nlp.maxent.Problem
ExtensionFileFilter - Class in edu.stanford.nlp.io: Implements a file filter that uses file extensions to filter files.
ExtensionFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter: Sets up Extension file filter by specifying an extension to accept (currently only 1) and whether to also display folders for recursive search.
ExtensionFileFilter(String) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter: Sets up an extension file filter that will recurse into sub directories.
EXTENTEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
EXTENTEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
EXTENTSTART_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
EXTENTSTART_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
extentTokenSpan - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject: Maximal token span relevant for this object, e.g., the largest NP for an entity mention The offsets are relative to the sentence that contains this object
ExternalEvaluate - Class in edu.stanford.nlp.sentiment: Evaluate predictions made outside of the RNTN.
ExternalEvaluate(RNNOptions, List<Tree>) - Constructor for class edu.stanford.nlp.sentiment.ExternalEvaluate
externalFeatureWeightsDir - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
ExternalParserQuery - Class in edu.stanford.nlp.parser.metrics
ExternalParserQuery(List<? extends HasWord>, List<ScoredObject<Tree>>) - Constructor for class edu.stanford.nlp.parser.metrics.ExternalParserQuery
extra() - Method in class edu.stanford.nlp.trees.TypedDependency
extract(int, Document, Map<Pair<Integer, Integer>, Boolean>) - Method in class edu.stanford.nlp.coref.statistical.FeatureExtractor
extract(int, Document, Map<Pair<Integer, Integer>, Boolean>, Compressor<String>) - Method in class edu.stanford.nlp.coref.statistical.FeatureExtractor
extract(CoreMap) - Method in class edu.stanford.nlp.ie.qe.QuantifiableEntityExtractor
extract(S, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
extract(List<? extends CoreMap>, List<MatchedExpression>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.BasicSequenceExtractRule
extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
extract(I, List<O>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ExtractRule
extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
extract(List<? extends T>, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
extract(List<? extends T>, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
extract(String, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
extract(SemanticGraph, List<CoreLabel>) - Method in class edu.stanford.nlp.naturalli.RelationTripleSegmenter: Extract the nominal patterns from this sentence.
extract() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
extract(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor: First, we do a few setup steps.
EXTRACT_UNCLOSED - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
extractAllAttributes(List<SceneGraphImage>) - Static method in class edu.stanford.nlp.scenegraph.SceneGraphImageCleaner
extractAllRelations(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor: Predict a relation for each pair of entities in the sentence; including relations of type unrelated.
extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
extractAnnotation(List<? extends CoreMap>, CoreMapAggregator) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpression
extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.time.TimeExpression
extractAttributes(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.EntityExtractor
extractBestParse(String, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Return the best parse of some category/state over a certain span.
extractBestParses(int, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Return all best parses (except no ties allowed on POS tags?).
extractCombinationMode(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner: Either finds COMBINATION_MODE_PROPERTY or returns a default value.
extractCombinationModeSafe(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner: Either finds COMBINATION_MODE_PROPERTY or returns a default value.
extractCoreMaps(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Returns list of coremaps that matches the specified rules.
extractCoreMapsMergedWithTokens(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Returns list of merged tokens and original tokens.
extractDatum(Mention, Mention, Document, int, Dictionaries, Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.sieve.RFSieve
extractDatumSequence(int[][][], int, int, List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Creates a new CRFDatum from the preprocessed allData format, given the document number, position number, and a List of Object labels.
extractDay(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
EXTRACTED_FEATURES_NAME - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
extractedEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
extractedFeaturesFile - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
extractedHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
ExtractedPhrase - Class in edu.stanford.nlp.patterns.dep
ExtractedPhrase(int, int, SemgrexPattern, String) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
ExtractedPhrase(int, int, SemgrexPattern, String, Counter<String>) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
ExtractedPhrase(int, int, SemgrexPattern, String, double, String, Integer) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
ExtractedPhrase(int, int, SemgrexPattern, String, double, String, Integer, Counter<String>) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
ExtractedPhrase(int, int, String) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
extractEntities - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
extractEntities(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.EntityExtractor
extractEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior: extracts the entity starting at the given position and adds it to the entity list.
extractEntity(int[], int, String) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO: extracts the entity starting at the given position and adds it to the entity list.
extractEnumerations(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
extractEnumerations(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
extractEvents - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
extractExpressions(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
extractFeatures(Mention, Set<Mention>, Set<String>, Dictionaries, Properties) - Static method in class edu.stanford.nlp.coref.md.MentionDetectionClassifier
extractFeatures(BoWExample.FEATURE_SET...) - Method in class edu.stanford.nlp.scenegraph.BoWExample
extractFromTree(Tree, String, HeadFinder) - Static method in class edu.stanford.nlp.trees.CollinsDependency
extractFunc - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
extractGoldClusters(Document) - Static method in class edu.stanford.nlp.coref.data.DocumentPreprocessor: Extract gold coref cluster information.
extractGoldCorefClusters() - Method in class edu.stanford.nlp.dcoref.Document: Extract gold coref cluster information.
extractGoldLinks() - Method in class edu.stanford.nlp.coref.data.Document: Extract gold coref link information
extractGoldLinks() - Method in class edu.stanford.nlp.dcoref.Document: Extract gold coref link information
extractGoldMentions(CoNLLDocumentReader.CoNLLDocument) - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
extractGoldMentions(Annotation) - Method in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
extractGoldMentions(CoNLL2011DocumentReader.Document) - Method in class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
ExtractionDataSet - Class in edu.stanford.nlp.ie.machinereading.structure
ExtractionDataSet() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
ExtractionDataSet(ExtractionDataSet) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet: Copy c'tor that performs deep copy of the sentences in the original dataset
ExtractionObject - Class in edu.stanford.nlp.ie.machinereading.structure: Represents any object that can be extracted: entity, relation, event.
ExtractionObject(String, CoreMap, Span, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
ExtractionSentence - Class in edu.stanford.nlp.ie.machinereading.structure: A RelationsSentence contains all the relations for a given sentence
ExtractionSentence(String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
ExtractionSentence(ExtractionSentence) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
extractLabels(Map<Pair<Integer, Integer>, String>, List<HasWord>, String) - Static method in class edu.stanford.nlp.sentiment.BuildBinarizedDataset
extractMin() - Method in class edu.stanford.nlp.util.ArrayHeap: Finds the object with the minimum key, removes it from the heap, and returns it.
extractMin() - Method in interface edu.stanford.nlp.util.Heap: Returns the minimum object, then removes that object from the heap.
extractMonth(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
extractNamedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.HybridCorefMentionFinder
extractNamedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.RuleBasedCorefMentionFinder
extractNamedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
extractNamedEntityModifiers(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, Set<String>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
extractNER(List<CoreLabel>, Span) - Static method in class edu.stanford.nlp.naturalli.Util: Returns a coherent NER span from a list of tokens.
extractNgram(List<T>, int, int) - Static method in class edu.stanford.nlp.ling.SentenceUtils: Returns the substring of the sentence from start (inclusive) to end (exclusive).
extractNormalizedFromTree(Tree, String, HeadFinder) - Static method in class edu.stanford.nlp.trees.CollinsDependency
extractNPorPRP(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Method in class edu.stanford.nlp.coref.md.RuleBasedCorefMentionFinder
extractNPorPRP(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
Extractor - Interface in edu.stanford.nlp.ie.machinereading
Extractor<T> - Interface in edu.stanford.nlp.parser.lexparser
extractor - Variable in class edu.stanford.nlp.pipeline.KBPAnnotator: The extractor implementation.
Extractor - Class in edu.stanford.nlp.tagger.maxent: This class serves as the base class for classes which extract relevant information from a history to give it to the features.
Extractor() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
Extractor(int, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor: This constructor creates an extractor which extracts either the tag or the word from position position in the history.
ExtractorDistsim - Class in edu.stanford.nlp.tagger.maxent: Extractor for adding distsim information.
ExtractorDistsimConjunction - Class in edu.stanford.nlp.tagger.maxent: Extractor for adding a conjunction of distsim information.
ExtractorFrames - Class in edu.stanford.nlp.tagger.maxent: This class contains the basic feature extractors used for all words and tag sequences (and interaction terms) for the MaxentTagger, but not the feature extractors explicitly targeting generalization for rare or unknown words.
ExtractorFramesRare - Class in edu.stanford.nlp.tagger.maxent: This class contains feature extractors for the MaxentTagger that are only applied to rare (low frequency/unknown) words.
ExtractorMerger - Class in edu.stanford.nlp.ie.machinereading: Simple extractor which combines several other Extractors.
ExtractorMerger(Extractor[]) - Constructor for class edu.stanford.nlp.ie.machinereading.ExtractorMerger
extractors - Variable in class edu.stanford.nlp.ie.KBPEnsembleExtractor: The extractors to run, in the order of priority they should be run in.
Extractors - Class in edu.stanford.nlp.tagger.maxent: Maintains a set of feature extractors for a maxent POS tagger and applies them.
Extractors(Extractor[]) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors: Set the extractors from an array.
ExtractorVerbalVBNZero - Class in edu.stanford.nlp.tagger.maxent: Look for verbs selecting a VBN verb.
ExtractorVerbalVBNZero(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
extractParse(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
extractPaths(String, int, int, boolean) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
ExtractPhraseFromPattern - Class in edu.stanford.nlp.patterns.dep
ExtractPhraseFromPattern() - Constructor for class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
ExtractPhraseFromPattern(boolean, int) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
extractPredictedMentions(Annotation, int, Dictionaries) - Method in interface edu.stanford.nlp.dcoref.CorefMentionFinder: Get all the predicted mentions for a document.
extractPredictedMentions(Annotation, int, Dictionaries) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder: Main method of mention detection.
extractPrefixedProperties(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Build a Properties object containing key-value pairs from the given data where the keys are prefixed with the given prefix.
extractPrefixedProperties(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Build a Properties object containing key-value pairs from the given data where the keys are prefixed with the given prefix.
extractPremarkedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
extractPremarkedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
ExtractQuotesClassifier - Class in edu.stanford.nlp.quoteattribution: Created by michaelf on 3/31/16.
ExtractQuotesClassifier(GeneralDataset<String, String>) - Constructor for class edu.stanford.nlp.quoteattribution.ExtractQuotesClassifier
ExtractQuotesClassifier(String) - Constructor for class edu.stanford.nlp.quoteattribution.ExtractQuotesClassifier
ExtractQuotesUtil - Class in edu.stanford.nlp.quoteattribution: Created by michaelf on 5/30/16.
ExtractQuotesUtil() - Constructor for class edu.stanford.nlp.quoteattribution.ExtractQuotesUtil
extractRelations - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
extractRelationSubflags(int, int) - Static method in class edu.stanford.nlp.util.Interval
extractRule - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule: Actual rule performing the extraction (converting annotation to MatchedExpression)
extractSelectedProperties(Properties, Set<String>) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Build a Properties object containing key-value pairs from the given properties whose keys are in a list to keep.
extractSubList(JsonArray, List<T>) - Method in class edu.stanford.nlp.pipeline.JSONAnnotationReader
extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor: Extract time expressions from a sentence in a document.
extractTimeExpressionCoreMaps(CoreMap, String) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor: Extract time expressions in a document (provided as a CoreMap Annotation).
extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
extractTimeExpressionCoreMaps(CoreMap, String) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
extractTimeExpressionCoreMaps(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
extractTimeExpressions(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
extractTimeExpressions(CoreMap, SUTime.Time, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
extractWeekday(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance: This is a backup method if everything else fails.
extractWithTokens - Variable in class edu.stanford.nlp.pipeline.TokensRegexAnnotator.Options
extractYear(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure: Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure: Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extremedebug - Static variable in class edu.stanford.nlp.patterns.ConstantsAndVariables

F

f1(int, int, int) - Static method in class edu.stanford.nlp.classify.PRCurve
f1(double, double, double, double) - Static method in class edu.stanford.nlp.coref.statistical.EvalUtils
f1(String) - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
f1(OUT) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
f1(double, double) - Static method in class edu.stanford.nlp.stats.EquivalenceClassEval
f1(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.EquivalenceClassEval
f1() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
F1_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
f1Macro() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
f1Micro() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
facilityVehicleWeaponPronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
facilityVehicleWeaponPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
facilityVehicleWeaponPronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
facilityVehicleWeaponPronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
Factor(ConcatVectorTable, int[]) - Constructor for class edu.stanford.nlp.loglinear.model.GraphicalModel.Factor
FACTOR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
FactoredLexicon - Class in edu.stanford.nlp.parser.lexparser
FactoredLexicon(MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
FactoredLexicon(Options, MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
FactoredLexiconEvent - Class in edu.stanford.nlp.parser.lexparser
FactoredLexiconEvent(int, int, int, int, int, String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
FactoredParser - Class in edu.stanford.nlp.parser.lexparser
FactoredSequenceListener - Class in edu.stanford.nlp.sequences
FactoredSequenceListener(SequenceListener, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
FactoredSequenceListener(SequenceListener[]) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
FactoredSequenceModel - Class in edu.stanford.nlp.sequences
FactoredSequenceModel(SequenceModel, SequenceModel, double, double) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel: using this constructor results in a weighted addition of the two models' scores.
FactoredSequenceModel(SequenceModel, SequenceModel) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
FactoredSequenceModel(SequenceModel[], double[]) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
factorial(int) - Static method in class edu.stanford.nlp.math.SloppyMath: Uses floating point so that it can represent the really big numbers that come up.
factorInAlignmentProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
factorInBiEdgePotential - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
factors - Variable in class edu.stanford.nlp.loglinear.model.GraphicalModel
FactorTable - Class in edu.stanford.nlp.ie.crf: Stores a factor table as a one dimensional array of doubles.
FactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FactorTable
FactorTable(FactorTable) - Constructor for class edu.stanford.nlp.ie.crf.FactorTable
FACTORTABLE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
factory - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
factory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
factory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer: Returns a factory for FrenchTokenizer.
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
factory - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
factory - Static variable in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer: recommended factory method
factory(LexedTokenFactory<T>) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
factory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
factory - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
factory() - Static method in class edu.stanford.nlp.ling.CategoryWordTag: Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.CoreLabel: Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.IndexedWord
factory() - Static method in class edu.stanford.nlp.ling.LabeledWord: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.StringLabel: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Tag: Return a factory for this kind of label (i.e., Tag).
factory() - Static method in class edu.stanford.nlp.ling.TaggedWord: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Word: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.WordTag: Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.process.PTBTokenizer: This is a historical constructor that returns Word tokens.
factory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer: Get a TokenizerFactory that does Penn Treebank tokenization.
factory - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
factory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
factory(boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
factory(WordSegmenter) - Static method in class edu.stanford.nlp.process.WordSegmentingTokenizer
factory() - Method in class edu.stanford.nlp.stats.EquivalenceClassEval: returns a new EquivalenceClassEval.Factory instance that vends new EquivalenceClassEval instances with settings like this
factory() - Static method in class edu.stanford.nlp.trees.LabeledConstituent: Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredConstituent: Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type, with the Label made with the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.NamedDependency
factory() - Static method in class edu.stanford.nlp.trees.SimpleConstituent: Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.SimpleTree: Return a TreeFactory that produces trees of the SimpleTree type.
factory() - Static method in class edu.stanford.nlp.trees.Span: Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.TreeGraphNode: Return a TreeFactory that produces trees of type TreeGraphNode.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.TreeGraphNode: Return a TreeFactory that produces trees of type TreeGraphNode, with the Label made by the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
factory() - Static method in class edu.stanford.nlp.trees.UnnamedDependency
Factory<T> - Interface in edu.stanford.nlp.util: A generified factory class which creates instances of a particular type.
fail(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Create a RuntimeException with arguments
fail() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util: Create a new RuntimeException with no arguments
fakeDataset - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
FALL - Static variable in class edu.stanford.nlp.time.SUTime
FALL_EQUINOX - Static variable in class edu.stanford.nlp.time.SUTime
FALSE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
FALSE - Static variable in class edu.stanford.nlp.util.Trilean: The static value for False
FastDisjointSet<T> - Class in edu.stanford.nlp.util: Disjoint forest with path compression and union-by-rank.
FastDisjointSet(Set<? extends T>) - Constructor for class edu.stanford.nlp.util.FastDisjointSet
FastExactAutomatonMinimizer - Class in edu.stanford.nlp.fsm: Minimization in n log n a la Hopcroft.
FastExactAutomatonMinimizer() - Constructor for class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
fastFactoredCandidateAddend - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: This variable says to find k good factored parses, how many added on best PCFG parses should be examined.
fastFactoredCandidateMultiplier - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: This variable says to find k good fast factored parses, how many times k of the best PCFG parses should be examined.
FastFactoredParser - Class in edu.stanford.nlp.parser.lexparser: Provides a much faster way to realize the factored parsing idea, including easily returning "k good" results at the expense of optimality.
FastNeuralCorefAlgorithm - Class in edu.stanford.nlp.coref.fastneural: Neural mention-ranking coreference model.
FastNeuralCorefAlgorithm(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.fastneural.FastNeuralCorefAlgorithm
FastNeuralCorefDataExporter - Class in edu.stanford.nlp.coref.fastneural: Writes CoNLL data to JSON for fastneural model training (using python/tensorflow).
FastNeuralCorefDataExporter(Properties, Dictionaries, Compressor<String>, String, String) - Constructor for class edu.stanford.nlp.coref.fastneural.FastNeuralCorefDataExporter
FastNeuralCorefModel - Class in edu.stanford.nlp.coref.fastneural: Featurizes and scores mention pairs using a neural network.
FastNeuralCorefModel(EmbeddingExtractor, Map<String, Integer>, Map<String, Integer>, List<SimpleMatrix>) - Constructor for class edu.stanford.nlp.coref.fastneural.FastNeuralCorefModel
FastNeuralCorefProperties - Class in edu.stanford.nlp.coref.fastneural: Manages the properties for training and running fast neural coreference systems.
FastNeuralCorefProperties() - Constructor for class edu.stanford.nlp.coref.fastneural.FastNeuralCorefProperties
fastPassByReferenceIterator() - Method in class edu.stanford.nlp.loglinear.model.NDArray: This is its own function because people will inevitably attempt this optimization of not cloning the array we hand to the iterator, to save on GC, and it should not be default behavior.
fastPassByReferenceIterator() - Method in class edu.stanford.nlp.loglinear.model.NDArrayDoubles: This is its own function because people will inevitably attempt this optimization of not cloning the array we hand to the iterator, to save on GC, and it should not be default behavior.
fatal(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
fatal(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
featThreshFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Feature - Class in edu.stanford.nlp.maxent: This class is used as a base class for TaggerFeature for the tagging problem and for BinaryFeature for the general problem with binary features.
Feature() - Constructor for class edu.stanford.nlp.maxent.Feature
Feature(Experiments, double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature: This is if we are given an array of double with a value for each training sample in the order of their occurrence.
Feature(Experiments, double[][], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
Feature(Experiments, int, Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
Feature(Experiments, int[], double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
FEATURE_SEP - Static variable in class edu.stanford.nlp.trees.international.negra.NegraLabel
FeatureCollector(Set<String>) - Constructor for class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Constructor
featureCountThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureCountThreshold - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
featureCountThreshold - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
featureCountThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureDiffThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
FeatureExtractor - Class in edu.stanford.nlp.coref.statistical: A class for featurizing mention pairs and individual mentions.
FeatureExtractor(Properties, Dictionaries, Compressor<String>) - Constructor for class edu.stanford.nlp.coref.statistical.FeatureExtractor
FeatureExtractor(Properties, Dictionaries, Compressor<String>, String) - Constructor for class edu.stanford.nlp.coref.statistical.FeatureExtractor
FeatureExtractor(Properties, Dictionaries, Compressor<String>, Set<String>) - Constructor for class edu.stanford.nlp.coref.statistical.FeatureExtractor
FeatureExtractorRunner - Class in edu.stanford.nlp.coref.statistical: Runs feature extraction over coreference documents.
FeatureExtractorRunner(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.statistical.FeatureExtractorRunner
featureFactories - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Support multiple feature factories (NERFeatureFactory, EmbeddingFeatureFactory) - Thang Sep 13, 2013.
featureFactories - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureFactoriesArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureFactory - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
FeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
FeatureFactory() - Constructor for class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
FeatureFactory<IN> - Class in edu.stanford.nlp.sequences: This is the abstract class that all feature factories must subclass.
FeatureFactory() - Constructor for class edu.stanford.nlp.sequences.FeatureFactory
featureFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureFactoryArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureFactoryClass - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
featureFrequencyCutoff - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions: How many times a feature must be seen when training.
featureGrouping - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
featureIndex - Variable in class edu.stanford.nlp.classify.GeneralDataset
featureIndex() - Method in class edu.stanford.nlp.classify.GeneralDataset
featureIndex() - Method in class edu.stanford.nlp.classify.LinearClassifier
featureIndex - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
featureIndex - Variable in class edu.stanford.nlp.coref.hybrid.rf.DecisionTree
featureIndex - Variable in class edu.stanford.nlp.coref.hybrid.rf.RandomForest
FeatureKey - Class in edu.stanford.nlp.tagger.maxent: Stores a triple of an extractor ID, a feature value (derived from history) and a y (tag) value.
FeatureKey() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
FeatureKey(int, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
featureList - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
FeatureNameComparator() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUFeatures.FeatureNameComparator
features() - Method in class edu.stanford.nlp.classify.LinearClassifier
features(KBPRelationExtractor.KBPInput) - Static method in class edu.stanford.nlp.ie.KBPStatisticalExtractor
Features - Class in edu.stanford.nlp.maxent: An ArrayList of Feature.
Features() - Constructor for class edu.stanford.nlp.maxent.Features
Features(String, Experiments) - Constructor for class edu.stanford.nlp.maxent.Features: reads in the features from a file, having already read the experiments
Features() - Constructor for class edu.stanford.nlp.patterns.PatternsAnnotations.Features
FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
featuresC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
featuresC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.BigWindowArabicSegmenterFeatureFactory
featuresC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
featuresC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
featuresCnC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCnC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
featuresCnC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory: For a CRF, this shouldn't be necessary, since the features duplicate those from CpC, but Huihsin found some valuable, presumably becuase it modified the regularization a bit.
featuresCp2C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCp2C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
featuresCp3C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCp3C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
featuresCp4C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCp5C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCpC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCpC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
featuresCpC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.StartAndEndArabicSegmenterFeatureFactory
featuresCpC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
featuresCpC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
featuresCpCnC(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCpCp2C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCpCp2C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory: Second order clique features
featuresCpCp2Cp3C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
featuresCpCp2Cp3C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
featuresCpCp2Cp3Cp4C(PaddedList<IN>, int, NERFeatureFactory.FeatureCollector) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
FeaturesData(Map<Integer, Pair<Integer, Integer>>, Map<Integer, Sieve.MentionData>, GeneralDataset<String, String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.training.SupervisedSieveTraining.FeaturesData
featureSelectionNumFeaturesRatio - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
featureSimilarityThreshold - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties: Additional features, may not necessarily be used in the public release
featuresTable - Variable in class edu.stanford.nlp.loglinear.model.GraphicalModel.Factor
FEATURESTABLE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
featureStr() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
featureThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
featureVal - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
featureValue(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
featureWeightThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Featurizable<F> - Interface in edu.stanford.nlp.ling: Interface for Objects that can be described by their features.
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.CombinationFeatureFactory
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.DistsimFeatureFactory
featurize(State) - Method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
featurize(SupervisedSieveTraining.SieveData, List<XMLToAnnotation.GoldQuoteInfo>, boolean) - Static method in class edu.stanford.nlp.quoteattribution.Sieves.training.SupervisedSieveTraining
FEBRUARY - Static variable in class edu.stanford.nlp.time.SUTime
FEMALE_FIRST_NAMES_PATH - Static variable in class edu.stanford.nlp.pipeline.GenderAnnotator
FEMALE_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
FEMALE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
femaleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
femaleNames - Variable in class edu.stanford.nlp.pipeline.GenderAnnotator
femalePronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
femalePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
femalePronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
femalePronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
femaleWords - Variable in class edu.stanford.nlp.coref.data.Dictionaries
femaleWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
FetchNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
FetchNode(String) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.FetchNode
FieldExpression(Expression, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FieldExpression
FieldExpression(Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FieldExpression
fields - Static variable in class edu.stanford.nlp.ie.pascal.PascalTemplate
FieldValue(Env, Map<String, Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
fieldValues(Object) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
fifth - Variable in class edu.stanford.nlp.util.Quintuple
fifth() - Method in class edu.stanford.nlp.util.Quintuple
fifthKeySet() - Method in class edu.stanford.nlp.util.FiveDimensionalMap
file - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
file(String) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Output to a file.
file(File) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Output to a file.
fileFilter - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
fileFilter - Variable in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader.Options
fileFilter - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
FileFilters - Class in edu.stanford.nlp.io: Provides some static methods for combination file filters.
FileHandler(String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.FileHandler
FileHandler(String, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.FileHandler
FileHandler(String) - Constructor for class edu.stanford.nlp.util.logging.Redwood.FileHandler
fileIndex - Variable in class edu.stanford.nlp.dcoref.ACEMentionExtractor
fileList - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
fileList - Variable in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
fileList - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
filename - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
filename() - Method in interface edu.stanford.nlp.tagger.io.TaggedFileReader
filename() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
filename() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
filename() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
filename() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
fileNameClean(String) - Static method in class edu.stanford.nlp.util.StringUtils: Returns a "clean" version of the given filename in which spaces have been converted to dashes and all non-alphanumeric chars are underscores.
FilenameMouseInputAdapter(JTextField) - Constructor for class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel.FilenameMouseInputAdapter
fileNameNormalizer - Variable in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
fileNameNormalizer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
FilePanel - Class in edu.stanford.nlp.trees.tregex.gui: Class representing the hierarchy of files in which trees may be searched and allowing users to select whether to search a particular file or not
FilePathProcessor - Class in edu.stanford.nlp.util: The FilePathProcessor traverses a directory structure and applies the processFile method to files meeting some criterion.
filePattern - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
filePattern - Variable in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader.Options
filePattern - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
FileProcessor - Interface in edu.stanford.nlp.util: Interface for a Visitor pattern for Files.
files - Variable in class edu.stanford.nlp.dcoref.ACEMentionExtractor
FileSequentialCollection - Class in edu.stanford.nlp.io: A FileSequentialCollection maintains a read-only collection of Files.
FileSequentialCollection() - Constructor for class edu.stanford.nlp.io.FileSequentialCollection: Creates an empty FileSequentialCollection, with no Files in it.
FileSequentialCollection(Collection<?>) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection: Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(File, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection: Creates a FileSequentialCollection from the passed in File path.
FileSequentialCollection(Collection<?>, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection: Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(Collection<?>, FileFilter) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection: Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(String, FileFilter) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
FileSequentialCollection(String) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
FileSequentialCollection(Collection<?>, FileFilter, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection: Creates a FileSequentialCollection from the passed in Collection.
FileSystem - Class in edu.stanford.nlp.io: Provides various filesystem operations common to scripting languages such as Perl and Python but not present (currently) in the Java standard libraries.
fileToTrainSet(String, Map<String, String[]>) - Method in class edu.stanford.nlp.process.stattok.StatTokSentTrainer
FileTreeModel - Class in edu.stanford.nlp.trees.tregex.gui: Component for managing the data for files containing trees.
FileTreeModel(FileTreeNode) - Constructor for class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
FileTreeNode - Class in edu.stanford.nlp.trees.tregex.gui: Represents a node in a JTree that holds a file and displays the short name of the file in the JTree.
FileTreeNode() - Constructor for class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
FileTreeNode(File, FileTreeNode) - Constructor for class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
FileTreeNode.FileTreeNodeListener - Interface in edu.stanford.nlp.trees.tregex.gui
fill(double[][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(double[][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(double[][][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(boolean[][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(boolean[][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
fill(boolean[][][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
fillerWords - Static variable in class edu.stanford.nlp.patterns.PatternFactory
fillInMention(CoreMap, String, int, int, String, String) - Static method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
fillInMention(CoreMap, Sieve.MentionData, String) - Static method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
fillInParseAnnotations(boolean, boolean, GrammaticalStructureFactory, CoreMap, List<Tree>, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotatorUtils: Put the tree in the CoreMap for the sentence, also add any dependency graphs to the sentence, and fill in missing tag annotations.
fillOptions(Class<?>[], Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate all static options in the given set of classes, as defined by the given properties.
fillOptions(Class<?>[], Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate all static ArgumentParser.Option-tagged fields in the given classes with the given Properties.
fillOptions(Class<?>[], String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate with the given command-line arguments all static ArgumentParser.Option-tagged fields in the given classes.
fillOptions(Class<?>, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate all static options in the given class, as defined by the given properties.
fillOptions(Class<?>, Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate all static options in the given class, as defined by the given properties.
fillOptions(Class<?>, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate all static options in the given class, as defined by the given command-line arguments.
fillOptions(Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate with the given properties all static options in all classes in the current classpath.
fillOptions(String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate with the given command-line arguments all static options in all classes in the current classpath.
fillOptions(Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate all static ArgumentParser.Option-tagged fields in the given classes with the given Properties.
fillOptions(Object[], Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser: Fill all non-static ArgumentParser.Option-tagged fields in the given set of objects with the given properties.
fillOptions(Object[], String[]) - Static method in class edu.stanford.nlp.util.ArgumentParser: Fill all non-static ArgumentParser.Option-tagged fields in the given set of objects with the given command-line arguments.
fillOptions(Object, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser: Fill all non-static ArgumentParser.Option-tagged fields in the given object with the given properties.
fillOptions(Object, Properties, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Populate all static options in the given class, as defined by the given properties.
fillOptions(Object, String...) - Static method in class edu.stanford.nlp.util.ArgumentParser: Fill all non-static ArgumentParser.Option-tagged fields in the given object with the given command-line arguments.
fillOptions(Object, String, Properties) - Static method in class edu.stanford.nlp.util.ArgumentParser: Fill all the options for a given subcomponent.
filter(T[], Predicate<? super T>) - Static method in class edu.stanford.nlp.util.ArrayUtils: Returns an array with only the elements accepted by filter
Implementation notes: creates two arrays, calls filter once for each element, does not alter original
filter(E[], Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters: Applies the given filter to each of the given elements, and returns the array of elements that were accepted.
filter(Iterable<T>, Predicate<T>) - Static method in class edu.stanford.nlp.util.Iterables: Filtered view of the given iterable.
FILTER_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
filterAsList(Collection<? extends T>, Predicate<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Filters the objects in the collection according to the given Filter and returns a list.
filterClustersWithMentionSpans(CorefCluster, Set<Triple<Integer, Integer, Integer>>) - Static method in class edu.stanford.nlp.coref.CorefUtils
FilterConfusingRules - Class in edu.stanford.nlp.parser.dvparser: This filter rejects Trees which have unary or binary productions which the given parser does not contain.
FilterConfusingRules(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.FilterConfusingRules
filterCorefChainWithMentionSpans(CorefChain, Set<Triple<Integer, Integer, Integer>>) - Static method in class edu.stanford.nlp.coref.CorefUtils
filterCorefMentions - Variable in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader.Options
filterCustomerAbstractPronouns - Static variable in class edu.stanford.nlp.coref.CorefUtils
FilteredEval - Class in edu.stanford.nlp.parser.metrics: An AbstractEval which doesn't just evaluate all constituents, but lets you provide a filter to only pay attention to constituents formed from certain subtrees.
FilteredEval(String, boolean, Predicate<Tree>) - Constructor for class edu.stanford.nlp.parser.metrics.FilteredEval
FilteredIterator<T> - Class in edu.stanford.nlp.util: Iterator that suppresses items in another iterator based on a filter function.
FilteredIterator(Iterator<T>, Predicate<T>) - Constructor for class edu.stanford.nlp.util.FilteredIterator
FilterExtractRule(Predicate<I>, SequenceMatchRules.ExtractRule<I, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
FilterExtractRule(Predicate<I>, SequenceMatchRules.ExtractRule<I, O>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
FilterHandler - Class in edu.stanford.nlp.util.logging: Basic support for filtering records via LogFilter objects.
FilterHandler(List<LogFilter>, boolean) - Constructor for class edu.stanford.nlp.util.logging.FilterHandler
filterInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
FilteringTreebank - Class in edu.stanford.nlp.trees: This class wraps another Treebank, and will vend trees that passed a Filter<Tree>.
FilteringTreebank(Treebank, Predicate<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreebank
FilteringTreeReader - Class in edu.stanford.nlp.trees: A FilteringTreeReader filters the output of another TreeReader.
FilteringTreeReader(TreeReader, Predicate<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreeReader
filterMentionSet - Variable in class edu.stanford.nlp.coref.data.Document
filterMentionSet - Variable in class edu.stanford.nlp.coref.data.InputDoc
filterMentionsWithSingletonClusters(Document, List<List<Mention>>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem: Remove singleton clusters
filterNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
filterNaNAndInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
filterOut(Counter<String>, List<String>) - Static method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor
filterPredictedMentions(List<List<Mention>>, Annotation, Dictionaries, Properties) - Method in class edu.stanford.nlp.coref.md.RuleBasedCorefMentionFinder: When mention boundaries are given
filterPredictedMentions(List<List<Mention>>, Annotation, Dictionaries) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder: When mention boundaries are given
filterRule - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
filterRulesForBatch(Collection<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel: Filters the transform and score rules so that we only have the ones which appear in the trees given
filterRulesForBatch(Map<Tree, byte[]>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
filterRulesForBatch(TwoDimensionalSet<String, String>, Set<String>, Set<String>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
Filters - Class in edu.stanford.nlp.util: Static class with some useful Predicate implementations and utility methods for working with Predicates.
Filters.ConjFilter<T> - Class in edu.stanford.nlp.util: Conjunction of a list of filters.
Filters.DisjFilter<T> - Class in edu.stanford.nlp.util: Disjunction of a list of filters.
Filters.RandomFilter<E> - Class in edu.stanford.nlp.util: A filter that accepts a random fraction of the input it sees.
filterTreebank(Treebank) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser: Filters any trees which are obviously unacceptable for the sr parser training.
filterUnknownRoots(List<Tree>) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
filterUnrelatedRelations(Collection<RelationMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
filterXmlTagsFromMentions(List<List<Mention>>) - Static method in class edu.stanford.nlp.coref.CorefUtils
finalize(CoreMap) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor: Indicates that all annotations on the document has been completed Performs cleanup on the document annotation.
finalize(CoreMap) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
finalizeAnnotation(Annotation) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
finalizeClassification(CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classification is finished for the document.
finalizeClassification(CoreMap) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
finalizeTraining() - Method in class edu.stanford.nlp.parser.nndep.Classifier: Finish training this classifier; prepare for a shutdown.
FinalizeTransition - Class in edu.stanford.nlp.parser.shiftreduce: Transition that finishes the processing of a state
FinalizeTransition(Set<String>) - Constructor for class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
finalTags - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
find(List<? extends T>, SequenceMatcher.FindType) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher: Given a sequence, applies our patterns over the sequence and returns all matches, depending on the findType.
find(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher: Reset the matcher and then searches for pattern at the specified start index.
find(int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
find() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher: Searches for the next occurrence of the pattern
find() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher: Find the next match of the pattern in the graph.
find(TokenSequencePattern, Function<TokenSequenceMatcher, T>) - Method in class edu.stanford.nlp.simple.Sentence: Apply a TokensRegex pattern to the sentence.
find(String, Function<TokenSequenceMatcher, T>) - Method in class edu.stanford.nlp.simple.Sentence
find() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Find the next match of the pattern on the tree.
find(T) - Method in interface edu.stanford.nlp.util.DisjointSet
find(T) - Method in class edu.stanford.nlp.util.FastDisjointSet
find(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Say whether this regular expression can be found inside this String.
findAllMatches(K...) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findAllMatches(List<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findAllMatches(List<K>, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findAllMatches(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable: Given a segment of text, returns list of spans (PhraseMatch) that corresponds to a phrase in the table
findAllMatches(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable: Given a list of tokens, returns list of spans (PhraseMatch) that corresponds to a phrase in the table
findAllMatches(List<PhraseTable.Phrase>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable: Given a segment of text, returns list of spans (PhraseMatch) that corresponds to a phrase in the table (filtered by the list of acceptable phrase)
findAllMatches(List<PhraseTable.Phrase>, PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable: Given a list of tokens, returns list of spans (PhraseMatch) that corresponds to a phrase in the table (filtered by the list of acceptable phrase)
findAllMatches(PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findAllMatches(List<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findAllNonOverlapping() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher: Applies the matcher and returns all non overlapping matches
findAllNonOverlappingMatchesPerPattern(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher: Given a sequence, applies each of our patterns over the sequence and returns all non overlapping matches for each of the patterns.
findAllRelns(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Given a semantic graph, and a target relation, returns a list of all relations (edges) matching.
findAllRelns(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Given a semantic graph, and the short name of a target relation, returns a list of all relations (edges) matching.
findAllRelnsWithPrefix(SemanticGraph, String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given a semantic graph, and a relation prefix, returns a list of all relations (edges) that start with the given prefix (e.g., prefix "prep" gives you all the prep relations: prep_by, pref_in,etc.)
findAndAnnotateNumericExpressions(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
findAndAnnotateNumericExpressionsWithRanges(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
findAndMergeNumbers(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer: Takes annotation and identifies numbers in the annotation.
findAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Similar to find(), but matches only if node is the root of the match.
findAvailable(int, int) - Static method in class edu.stanford.nlp.net.Ports: Scan a range of ports to find the first available one.
findBestUsingAnnealing(SequenceModel, CoolingSchedule) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
findBestUsingAnnealing(SequenceModel, CoolingSchedule, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
findBestUsingSampling(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler: Finds the best sequence by collecting numSamples samples, scoring them, and then choosing the highest scoring sample.
findBreakPoints(char[]) - Method in class edu.stanford.nlp.ie.pascal.TeXHyphenator
findChunkEnd(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
findChunkStart(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
findClosestMatches(K[], int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(K[], int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(K[], MatchCostFunction<K, V>, Double, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a target sequence, returns the n closes matches (or sequences of matches) from the trie based on the cost function (lower cost mean better match).
findClosestMatches(List<K>, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(List<K>, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(List<K>, MatchCostFunction<K, V>, double, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a target sequence, returns the n closes matches (or sequences of matches) from the trie based on the cost function (lower cost mean better match).
findClosestMentionInSpanBackward(Pair<Integer, Integer>) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
findClosestMentionInSpanForward(Pair<Integer, Integer>) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
findClosestMentionsInSpanBackward(Pair<Integer, Integer>) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
findClosestMentionsInSpanForward(Pair<Integer, Integer>) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
findClosestPair(List<IndexedWord>, List<IndexedWord>) - Static method in class edu.stanford.nlp.scenegraph.SceneGraphSentenceMatcher: Picks one IndexedWord from subjects and one IndexedWord from objects such that the distance between them is minimal.
findCoreferentAntecedent(Mention, int, Document, Dictionaries, Properties, StringBuilder) - Method in class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
findCoreferentAntecedent(Mention, int, Document, Dictionaries, Properties, StringBuilder) - Method in class edu.stanford.nlp.coref.hybrid.sieve.OracleSieve
findCoreferentAntecedent(Mention, int, Document, Dictionaries, Properties, StringBuilder) - Method in class edu.stanford.nlp.coref.hybrid.sieve.RFSieve
findCoreferentAntecedent(Mention, int, Document, Dictionaries, Properties, StringBuilder) - Method in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
findEmergencyTransition(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.BaseModel: Returns a transition which might not even be part of the model, but will hopefully allow progress in an otherwise stuck parse TODO: perhaps we want to create an EmergencyTransition class which indicates that something has gone wrong
findExactMatch(Tree, int, int) - Static method in class edu.stanford.nlp.dcoref.MentionExtractor: Finds the tree the matches this span exactly
findHead(CoreMap, List<Mention>) - Method in class edu.stanford.nlp.coref.md.CorefMentionFinder
findHead(CoreMap, List<Mention>) - Method in class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder
findHead(CoreMap, List<Mention>) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
findHeadChinese(List<CoreLabel>, Mention) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
findHeadInDependency(CoreMap, List<Mention>) - Static method in class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder
findHeadInDependency(CoreMap, Mention) - Static method in class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder
findHighestScoringTransitions(State, boolean, int, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.BaseModel
findHighestScoringTransitions(State, boolean, int, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
findKnownStates(List<Tree>) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
findKnownStates(Tree, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
findLemma(List<IndexedWord>, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: A way for subclasses for corpora with explicit head markings to return the explicitly marked head
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder: Predicatively marked elements in a sentence should be noted as heads
findMarkedHead(Tree[]) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
findMatches(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findMatches(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findMatches(PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findMatches(String, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findMatches(Collection<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findMatchesNormalized(Collection<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findMatchingNode(IndexedWord, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Finds the vertex in the given SemanticGraph that corresponds to the given node.
findMentions(Annotation, Dictionaries, Properties) - Method in class edu.stanford.nlp.coref.md.CorefMentionFinder: Get all the predicted mentions for a document.
findMentions(Annotation, Dictionaries, Properties) - Method in class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder: Main method of mention detection.
findMentions(Annotation, Dictionaries, Properties) - Method in class edu.stanford.nlp.coref.md.HybridCorefMentionFinder
findMentions(Annotation, Dictionaries, Properties) - Method in class edu.stanford.nlp.coref.md.RuleBasedCorefMentionFinder: Main method of mention detection.
FindNearestNeighbors - Class in edu.stanford.nlp.parser.dvparser: A tool which takes all of the n-grams of a certain length and looks for other n-grams which are close using distance between word vectors.
FindNearestNeighbors() - Constructor for class edu.stanford.nlp.parser.dvparser.FindNearestNeighbors
FindNearestNeighbors.ParseRecord - Class in edu.stanford.nlp.parser.dvparser
findNextMatchingNode() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher: Find the next match of the pattern in the graph such that the matching node (that is, the node matching the root node of the pattern) differs from the previous matching node.
findNextMatchingNode() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Find the next match of the pattern on the tree such that the matching node (that is, the tree node matching the root node of the pattern) differs from the previous matching node.
findNodePattern(Function<NodePattern<T>, OUT>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
findNodePatterns(Function<NodePattern<T>, OUT>, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
findNonOverlapping(K...) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findNonOverlapping(List<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findNonOverlapping(List<K>, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findNonOverlapping(List<K>, int, int, Comparator<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findNonOverlapping(List<K>, int, int, ToDoubleFunction<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a sequence to search through (e.g.
findNonOverlapping(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher: Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlapping(List<? extends T>, Comparator<? super SequenceMatchResult>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher: Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlappingMaxScore(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher: Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlappingMaxScore(List<? extends T>, ToDoubleFunction<? super SequenceMatchResult>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher: Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlappingPhrases(List<PhraseTable.PhraseMatch>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
findNumbers(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer: Find and mark numbers (does not need NumberSequenceClassifier) Each token is annotated with the numeric value and type: - CoreAnnotations.NumericTypeAnnotation.class: ORDINAL, UNIT (hundred, thousand,..., dozen, gross,...), NUMBER - CoreAnnotations.NumericValueAnnotation.class: Number representing the numeric value of the token ( two thousand => 2 1000 ).
findOffsets(Pattern, String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher: Finds pattern in text and returns offsets.
findOffsets(Pattern, String, int, int) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher: Finds pattern in text span from character start to end (exclusive) and returns offsets.
findRegexFileFilter(String) - Static method in class edu.stanford.nlp.io.FileFilters
findRootTree(IdentityHashMap<Tree, SimpleMatrix>) - Static method in class edu.stanford.nlp.parser.dvparser.ParseAndPrintMatrices
findSpace(String, int) - Static method in class edu.stanford.nlp.util.XMLUtils: return either the first space or the first nbsp
findSyntacticHead(Mention, Tree, List<CoreLabel>) - Method in class edu.stanford.nlp.coref.md.CorefMentionFinder
findSyntacticHead(Mention, Tree, List<CoreLabel>) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
findSyntacticHead(EntityMention, Tree, List<CoreLabel>) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader: Finds the syntactic head of the given entity mention.
findTargetStringOffsets(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher: Finds target string in text and returns offsets (matches based on set matchType).
findTargetStringOffsets(String, String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher: Finds target string in text span from character start to end (exclusive) and returns offsets (matches based on set matchType).
findTargetStringOffsetsExct(String, String, int, int) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher: Finds target string in text span from character start to end (exclusive) and returns offsets (does EXCT string matching).
findTargetStringOffsetsRegex(String, String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher: Finds target string in text and returns offsets using regular expressions (matches based on set matchType).
FindTreebankTree - Class in edu.stanford.nlp.trees: This utility looks for a given sentence in a file or directory of tree files.
FindTreebankTree() - Constructor for class edu.stanford.nlp.trees.FindTreebankTree
findTwinMentions(Document, boolean) - Static method in class edu.stanford.nlp.coref.data.DocumentPreprocessor: Mark twin mentions in gold and predicted mentions
findTwinMentions(boolean) - Method in class edu.stanford.nlp.dcoref.Document: Mark twin mentions in gold and predicted mentions
findWord(List<IndexedWord>, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils
FineGrainedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FineGrainedNamedEntityTagAnnotation
FINEGRAINEDNER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
finish() - Method in interface edu.stanford.nlp.coref.CorefDocumentProcessor
finish() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefDataExporter
finish() - Method in class edu.stanford.nlp.coref.misc.MentionDetectionEvaluator
finish() - Method in class edu.stanford.nlp.coref.neural.NeuralCorefDataExporter
finish() - Method in class edu.stanford.nlp.coref.statistical.DatasetBuilder
finish() - Method in class edu.stanford.nlp.coref.statistical.FeatureExtractorRunner
finish() - Method in class edu.stanford.nlp.coref.statistical.MetadataWriter
FinishedRequest(Properties, Annotation) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.FinishedRequest
FinishedRequest(Properties, Annotation, String, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.FinishedRequest
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood: Signal that this thread will not log any more messages in the multithreaded environment
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
finishTraining() - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseMaxentLexicon
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon: Done collecting statistics for the lexicon.
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.MaxMatchSegmenter
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModelTrainer
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer: Returns the trained UWM.
finishTraining() - Method in interface edu.stanford.nlp.process.WordSegmenter
finishTraining() - Method in class edu.stanford.nlp.wordseg.MaxMatchSegmenter
finishUpdating() - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
finishUpdating() - Method in class edu.stanford.nlp.patterns.LuceneSentenceIndex
finishUpdating() - Method in class edu.stanford.nlp.patterns.SentenceIndex
finiteDifferenceStepSize - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction: finiteDifferenceStepSize - this is the fixed step size for the finite difference approximation.
fireTreeStructureChanged(TreePath) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
FIRST - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
first - Variable in class edu.stanford.nlp.util.Pair: Direct access is deprecated.
first() - Method in class edu.stanford.nlp.util.Pair
first - Variable in class edu.stanford.nlp.util.Quadruple
first() - Method in class edu.stanford.nlp.util.Quadruple
first - Variable in class edu.stanford.nlp.util.Quintuple
first() - Method in class edu.stanford.nlp.util.Quintuple
first - Variable in class edu.stanford.nlp.util.Triple
first() - Method in class edu.stanford.nlp.util.Triple
FIRST_NON_NIL - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
firstChild() - Method in class edu.stanford.nlp.trees.Tree: Returns the first child of a tree, or null if none.
FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
firstKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
firstKeySet() - Method in class edu.stanford.nlp.util.FiveDimensionalMap
firstKeySet() - Method in class edu.stanford.nlp.util.FourDimensionalMap
firstKeySet() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
firstMention - Variable in class edu.stanford.nlp.coref.data.CorefCluster: The first mention in this cluster
firstMention - Variable in class edu.stanford.nlp.dcoref.CorefCluster: The first mention in this cluster
firstNameMatch(String, String) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
firstPersonPronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
firstPersonPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
firstPersonPronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
firstPersonPronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
firstRecord(String, String) - Static method in class edu.stanford.nlp.io.RecordIterator: A static convenience method that returns the first line of the specified file as list of strings, using the specified regexp as delimiter.
firstRecord(String) - Static method in class edu.stanford.nlp.io.RecordIterator: A static convenience method that returns the first line of the specified file as list of strings, using the default whitespace delimiter.
FiveDimensionalMap<K1,K2,K3,K4,K5,V> - Class in edu.stanford.nlp.util
FiveDimensionalMap() - Constructor for class edu.stanford.nlp.util.FiveDimensionalMap
fix(String[][]) - Static method in class edu.stanford.nlp.ie.util.FixLocation
fixChunkSentenceBoundaries(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Give an list of character offsets for chunk, fix sentence splitting so sentences doesn't break the chunks.
fixChunkSentenceBoundaries(CoreMap, List<IntPair>, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Give an list of character offsets for chunk, fix sentence splitting so sentences doesn't break the chunks.
fixChunkTokenBoundaries(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Give an list of character offsets for chunk, fix tokenization so tokenization occurs at boundary of chunks.
FIXED - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
fixedIndex - Variable in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: A fixed index for this relation, so that it can be serialized more efficiently.
FixedPrioritiesPriorityQueue<E> - Class in edu.stanford.nlp.util: A priority queue based on a binary heap.
FixedPrioritiesPriorityQueue() - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
FixedPrioritiesPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
FixLocation - Class in edu.stanford.nlp.ie.util: A script that goes through a data file and looks for instances where place, place should have the , tagged as well.
fixMWNWithHyphen(Tree, Tree, int) - Static method in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater: Given a tree with an MWN child that contains a (PUNC -), merge and potentially remove MWN
fixNPWithHyphen(Tree) - Static method in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater: Given a tree with an NP child that contains a (PUNC -), merge and potentially remove MWN
fixPREFEndingWithHyphen(Tree) - Static method in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater: Given a tree with (PREF .*-), merge hypen into next token
fixTokenOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Fix token offsets of sentences to match those in the document (assumes tokens are shared) sentence token indices may not match document token list if certain html elements are ignored.
fixUnkFunctionWords - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseMaxentLexicon
flags - Variable in class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
flags - Variable in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
flags - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Flags() - Constructor for class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass.Flags
flags - Variable in class edu.stanford.nlp.sequences.FeatureFactory
flagsToNumArgs() - Static method in class edu.stanford.nlp.sequences.SeqClassifierFlags
flagsToString() - Method in class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
flagsToString() - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
FLAT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
FLAT_EXPRESSION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
flatFile - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
flatFileName - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
flatMap(Iterable<? extends Iterable<T>>, Function<? super T, U>) - Static method in class edu.stanford.nlp.util.Iterables: Chains together an Iterable of Iterables after transforming each one.
flatten(double[][]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
flatten(List<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
flatten - Variable in class edu.stanford.nlp.pipeline.TokensRegexAnnotator.Options
flatten(Map<E2, Counter<E>>) - Static method in class edu.stanford.nlp.stats.Counters
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
flatten() - Method in class edu.stanford.nlp.trees.Tree: Return a flattened version of a tree.
flatten(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree: Return a flattened version of a tree.
flatten(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
flatten(Collection<List<T>>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Combines all the lists in a collection to a single list.
flattenTallTrees(int, List<Tree>) - Static method in class edu.stanford.nlp.parser.common.ParserUtils: Turn any trees which are taller than maxHeight into x trees
flattenTree(Tree) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils: Returns the string associated with the input parse tree.
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
floatArrayToDoubleArray(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
floatArrayToDoubleArray(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
floatArrToByteArr(float[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
floatArrToByteArr(float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
floatArrToByteArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
FloatFactorTable - Class in edu.stanford.nlp.ie.crf: Stores a factor table as a one dimensional array of floats.
FloatFactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FloatFactorTable
FloatFunction - Interface in edu.stanford.nlp.optimization: An interface for double-valued functions over double arrays.
floatValue() - Method in class edu.stanford.nlp.math.DoubleAD
floatValue() - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble: Returns the value of this AtomicDouble as a float after a narrowing primitive conversion.
floatValue() - Method in class edu.stanford.nlp.util.MutableDouble
floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
floatValue() - Method in class edu.stanford.nlp.util.MutableLong
floodTags - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
flush() - Method in class edu.stanford.nlp.io.NullOutputStream
flush() - Method in class edu.stanford.nlp.io.TeeStream
flush() - Method in class edu.stanford.nlp.pipeline.JSONOutputter.JSONWriter
flush() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler: This is a no-op since Redwood doesn't have this.
flush() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
flush() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
flushSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
fmeasure(int, int) - Method in class edu.stanford.nlp.classify.PRCurve: the f-measure if we just guess as negative the first numleft and guess as positive the last numright
fmeasure(int) - Method in class edu.stanford.nlp.classify.PRCurve: what is the f-measure at this recall if we look at the score as the probability of class 1 given x as if coming from logistic regression same as logPrecision but calculating f-measure
fnCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats: Count of false negatives.
fnCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats: Count of false negatives.
fnum(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
fnumArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve: This contains the number of features active for each pair (x,y)
focusOnList() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
FontDetector - Class in edu.stanford.nlp.swing: Detects which Fonts can be used to display unicode characters in a given language.
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood
force() - Method in class edu.stanford.nlp.util.logging.Redwood.Record: Returns whether this log message wants to be forced to be printed
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
forceCNF - Variable in class edu.stanford.nlp.parser.lexparser.Options: Forces parsing with strictly CNF grammar -- unary chains are converted to XP&YP symbols and back
forceDate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions: If true, give a "best guess" of the right date; if false, backoff to giving a duration for malformed dates.
ForcedSentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
ForcedSentenceUntilEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
forceGenerationOfIndexSpans - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader: If true, it regenerates the index spans for all tree nodes (useful for KBP)
forceGenerationOfIndexSpans - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
forceTagBeginnings - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
forceTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions: Parse using only tags given from correct answer or the POS tagger
forceTrack(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood: Helper method to start a track on the FORCE channel.
forceTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood: Helper method to start an anonymous track on the FORCE channel.
forceTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
forceUnits - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions: Force particular units -- e.g., force 20Y to be 20Y (20 years) rather than 2E (2 decades)
forDependencyDeletion(String) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Returns the natural logic relation corresponding to the given dependency arc being deleted from a sentence.
forDependencyDeletion(String, boolean) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Returns the natural logic relation corresponding to the given dependency arc being deleted from a sentence.
forDependencyDeletion(String, boolean, Optional<String>) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Returns the natural logic relation corresponding to the given dependency arc being deleted from a sentence.
forDependencyInsertion(String) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Returns the natural logic relation corresponding to the given dependency arc being inserted into a sentence.
forDependencyInsertion(String, boolean) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Returns the natural logic relation corresponding to the given dependency arc being inserted into a sentence.
forDependencyInsertion(String, boolean, Optional<String>) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Returns the natural logic relation corresponding to the given dependency arc being inserted into a sentence.
forEach(Consumer<? super E>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
format(double) - Method in class edu.stanford.nlp.ie.qe.Unit
format(double) - Method in class edu.stanford.nlp.ie.qe.Units.MoneyUnit
format - Variable in class edu.stanford.nlp.sentiment.Evaluate
FORMAT - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
format - Variable in class edu.stanford.nlp.util.ConfusionMatrix
format(LogRecord) - Method in class edu.stanford.nlp.util.logging.NewlineLogFormatter
format(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
format(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
FORMAT_FULL - Static variable in class edu.stanford.nlp.time.SUTime
FORMAT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
FORMAT_ISO - Static variable in class edu.stanford.nlp.time.SUTime
FORMAT_PAD_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
FORMAT_TIMEX3_VALUE - Static variable in class edu.stanford.nlp.time.SUTime
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.OutputHandler: Format a channel
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler: Ensure that we don't print duplicate channels when adapting to another logging framework.
formatInDefaultUnit(double) - Method in class edu.stanford.nlp.ie.qe.Unit
formatSemanticGraph(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter: Returns a pretty-printed string representation of the given semantic graph, on one or more lines.
formatter - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexiconTraining
formatTimeDifference(long, StringBuilder) - Static method in class edu.stanford.nlp.util.logging.Redwood: Utility method for formatting a time difference (maybe this should go to a util class?)
formatTimeDifference(long) - Static method in class edu.stanford.nlp.util.logging.Redwood
formResult() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
formResult() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
formResult() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
forNumber(int) - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.RefCase
forNumber(int) - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.ContentsCase
forNumber(int) - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
forNumber(int) - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
forNumber(int) - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Sentiment
FORTNIGHT - Static variable in class edu.stanford.nlp.time.SUTime
FORWARD_ENTAILMENT_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation: FORWARD_ENTAILMENT = 1;
FORWARD_WEIGHT - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
FORWARD_WINDOW - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
FORWARD_WINDOW_BIG - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
ForwardEntailer - Class in edu.stanford.nlp.naturalli: A class to find the forward entailments warranted by a particular sentence or clause.
ForwardEntailer(int, int, NaturalLogicWeights) - Constructor for class edu.stanford.nlp.naturalli.ForwardEntailer: Create a new searcher with the specified parameters.
ForwardEntailer(int, NaturalLogicWeights) - Constructor for class edu.stanford.nlp.naturalli.ForwardEntailer
ForwardEntailer(NaturalLogicWeights) - Constructor for class edu.stanford.nlp.naturalli.ForwardEntailer
forwardEntailer - Variable in class edu.stanford.nlp.naturalli.OpenIE: The forward entailer model, running a search from clauses to maximally shortened clauses.
ForwardEntailerSearchProblem - Class in edu.stanford.nlp.naturalli: A particular instance of a search problem for finding entailed sentences.
ForwardEntailerSearchProblem(SemanticGraph, boolean, int, int, NaturalLogicWeights) - Constructor for class edu.stanford.nlp.naturalli.ForwardEntailerSearchProblem: Create a new search problem, fully specified.
forwardPropagateTree(Tree) - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient: This is the method to call for assigning labels and node vectors to the Tree.
ForwardPropagationException - Exception in edu.stanford.nlp.sentiment: Runtime exception for when a tree is wrong in the forward propagation.
ForwardPropagationException(String) - Constructor for exception edu.stanford.nlp.sentiment.ForwardPropagationException
foundCorrect - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
foundGuessed - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
FourDimensionalMap<K1,K2,K3,K4,V> - Class in edu.stanford.nlp.util
FourDimensionalMap() - Constructor for class edu.stanford.nlp.util.FourDimensionalMap
fourth - Variable in class edu.stanford.nlp.util.Quadruple
fourth() - Method in class edu.stanford.nlp.util.Quadruple
fourth - Variable in class edu.stanford.nlp.util.Quintuple
fourth() - Method in class edu.stanford.nlp.util.Quintuple
fourthKeySet() - Method in class edu.stanford.nlp.util.FiveDimensionalMap
fourthKeySet() - Method in class edu.stanford.nlp.util.FourDimensionalMap
fpCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats: Count of false positives.
fpCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats: Count of false positives.
fractionBeforeUnseenCounting - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Start to aggregate signature-tag pairs only for words unseen in the first this fraction of the data.
FragDiscardingPennTreeReader - Class in edu.stanford.nlp.trees.international.pennchinese
FragDiscardingPennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
FragmentTreeFilter - Class in edu.stanford.nlp.trees.international.pennchinese: Filters the fragments which end documents in Chinese Treebank
FragmentTreeFilter() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.FragmentTreeFilter
freeDependencies - Variable in class edu.stanford.nlp.parser.lexparser.Options: if true, any child can be the head (seems rather bad!)
freeMem - Variable in class edu.stanford.nlp.util.MemoryMonitor
FRENCH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
French_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: French = 6;
FrenchAOverAFilter() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
FrenchDocument - Class in edu.stanford.nlp.simple: A sentence running with the French models.
FrenchDocument(String) - Constructor for class edu.stanford.nlp.simple.FrenchDocument: Create a new document from the passed in text.
FrenchDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.FrenchDocument: Convert a CoreNLP Annotation object to a Document.
FrenchDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.FrenchDocument: Create a Document object from a read Protocol Buffer.
FrenchDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.FrenchDocument: Create a new French document from the passed in text and the given properties.
FrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french: TODO wsg2010: Compare these head finding rules to those found in Arun Abishek's master's thesis.
FrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
FrenchHeadFinder(FrenchTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
FrenchMorphoFeatureSpecification - Class in edu.stanford.nlp.international.french: If MorphoFeatureType.OTHER is active, then the "CC tagset" is produced (see Tbl.2 of (Crabbe and Candito, 2008).
FrenchMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
FrenchSentence - Class in edu.stanford.nlp.simple: A Sentence, but in French.
FrenchSentence(String) - Constructor for class edu.stanford.nlp.simple.FrenchSentence
FrenchSentence(List<String>) - Constructor for class edu.stanford.nlp.simple.FrenchSentence
FrenchSentence(CoreNLPProtos.Sentence) - Constructor for class edu.stanford.nlp.simple.FrenchSentence
FrenchTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.french.process: Tokenizer for raw French text.
FrenchTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean, boolean) - Constructor for class edu.stanford.nlp.international.french.process.FrenchTokenizer: Constructor.
FrenchTokenizer.FrenchTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.french.process: A factory for French tokenizer instances.
FrenchTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.french: Language pack for the French treebank.
FrenchTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
FrenchTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: TreebankLangParserParams for the French Treebank corpus.
FrenchTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
FrenchTreebankTokenReport - Class in edu.stanford.nlp.international.french.scripts
FrenchTreebankTokenReport() - Constructor for class edu.stanford.nlp.international.french.scripts.FrenchTreebankTokenReport
FrenchTreebankUDUpdater - Class in edu.stanford.nlp.international.french.scripts
FrenchTreebankUDUpdater() - Constructor for class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
FrenchTreeNormalizer - Class in edu.stanford.nlp.trees.international.french: Prepares French Treebank trees for parsing.
FrenchTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
FrenchTreeNormalizer.FrenchAOverAFilter - Class in edu.stanford.nlp.trees.international.french
FrenchTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french: A class for reading French Treebank trees that have been converted from XML to PTB format.
FrenchTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
FrenchUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
FrenchUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
FrenchUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel: This constructor creates an UWM with empty data structures.
FrenchUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
FrenchUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
FrenchUnknownWordSignatures - Class in edu.stanford.nlp.international.french: Contains patterns for matching certain word types in French, such as common suffices for nouns, verbs, adjectives and adverbs.
FrenchXMLTreeReader - Class in edu.stanford.nlp.trees.international.french: A reader for XML format French Treebank files.
FrenchXMLTreeReader(Reader, boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader: Read parse trees from a Reader.
FrenchXMLTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader: Read parse trees from a Reader.
FrenchXMLTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french: A class for reading French Treebank trees that have been converted from XML to PTB format.
FrenchXMLTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReaderFactory
FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
FRIDAY - Static variable in class edu.stanford.nlp.time.SUTime
from(E) - Static method in class edu.stanford.nlp.util.Lazy: Create a degenerate Lazy, which simply returns the given pre-computed value.
from(boolean) - Static method in class edu.stanford.nlp.util.Trilean: Create the Trilean value for the given Boolean
FROM_NODE - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
fromArgs(String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
fromCheapString(String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode: Given the node arg string, converts it into an IndexedWord.
fromCheapStrings(Map<String, String>) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep: Given the keys and values of the CoreAnnotation attributes, build a CoreLabel to use as the new word
fromDateString(String) - Static method in class edu.stanford.nlp.ie.pascal.ISODateInstance: Takes a string already formatted in ISODateInstance format (such as one previously written out using toString) and creates a new date instance from it
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure.FromDependenciesFactory
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure.FromDependenciesFactory
FromFileCorefAlgorithm - Class in edu.stanford.nlp.coref.misc: Class for loading coreference links from a file and then performing them on CoNLL data.
FromFileCorefAlgorithm(String) - Constructor for class edu.stanford.nlp.coref.misc.FromFileCorefAlgorithm
fromHTML(String) - Static method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor: Strip off HTML tags before processing.
fromIndex(int) - Static method in enum edu.stanford.nlp.naturalli.ClauseSplitter.ClauseClassifierLabel
fromInt(int) - Static method in enum edu.stanford.nlp.simple.SentimentClass: Get the sentiment class from the Stanford Sentiment Treebank integer encoding.
fromJavaUtilLogging(Logger) - Static method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
fromJSONObject(SceneGraphImage, JsonObject) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
fromJSONObject(SceneGraphImage, JsonObject) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageObject
fromJSONObject(SceneGraphImage, JsonObject) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRegion
fromJSONObject(SceneGraphImage, JsonObject) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRelationship
fromMap(Map<E, N>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter view of the given map.
fromMap(Map<E, N>, Class<N>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a counter view of the given map.
fromMap(String, Map<String, String>) - Static method in class edu.stanford.nlp.time.Timex
fromMatrix(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.ConvertModels
fromPair(Pair<Integer, Integer>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span: A silly translation between a pair and a span.
fromPair(IntPair) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span: Another silly translation between a pair and a span.
fromPairOneIndexed(Pair<Integer, Integer>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span: A silly translation between a pair and a span.
fromPlainText(String) - Static method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
fromPlainText(String, boolean) - Static method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
fromProps(Properties, Dictionaries) - Static method in interface edu.stanford.nlp.coref.CorefAlgorithm
fromProto(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Create a CoreLabel from its serialized counterpart.
fromProto(CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Deprecated.
fromProto(CoreNLPProtos.Document) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Returns a complete document, intended to mimic a document passes as input to ProtobufAnnotationSerializer.toProto(Annotation) as closely as possible.
fromProto(CoreNLPProtos.FlattenedParseTree) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Retrieve a Tree object from a flattened tree protobuf.
fromProto(CoreNLPProtos.ParseTree, List<CoreLabel>) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Retrieve a Tree object and then attach the tokens passed in.
fromProto(CoreNLPProtos.ParseTree) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Retrieve a Tree object from a saved protobuf.
fromProto(CoreNLPProtos.Language) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Return a CoreNLP language from a Protobuf language
fromProto(CoreNLPProtos.Operator) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Return a CoreNLP Operator (Natural Logic operator) from a Protobuf operator
fromProto(CoreNLPProtos.Polarity) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Return a CoreNLP Polarity (Natural Logic polarity) from a Protobuf operator
fromProto(CoreNLPProtos.DependencyGraph, List<CoreLabel>, String) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Voodoo magic to convert a serialized dependency graph into a SemanticGraph.
fromProto(CoreNLPProtos.RelationTriple, Annotation, int) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Return a RelationTriple object from the serialized representation.
fromProto(CoreNLPProtos.SentenceFragment, SemanticGraph) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Returns a sentence fragment from a given protocol buffer, and an associated parse tree.
fromProto(CoreNLPProtos.MapStringString) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Convert a serialized Map back into a Java Map.
fromProto(CoreNLPProtos.MapIntString) - Static method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Convert a serialized Map back into a Java Map.
fromProtoNoTokens(CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer: Create a CoreMap representing a sentence from this protocol buffer.
fromShortName(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle: Convert a String expressing an output format to its internal coding as an OutputStyle.
fromString(String) - Static method in enum edu.stanford.nlp.ie.KBPRelationExtractor.NERTag: Find the slot for a given name
fromString(String) - Static method in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType: Find the slot for a given name
fromString(String, NERClassifierCombiner.Language) - Static method in enum edu.stanford.nlp.ie.NERClassifierCombiner.Language
fromString(String) - Static method in class edu.stanford.nlp.naturalli.NaturalLogicWeights
fromString(String) - Static method in enum edu.stanford.nlp.naturalli.Operator
fromString(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter: Converts from the format printed by the toString method back into a Counter<String>.
fromString(String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Convert from String to Properties.
fromString(String) - Static method in class edu.stanford.nlp.util.Trilean
fromStringReps(List<String>, List<String>, List<String>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure: Create a grammatical structure from its string representation.
fromTagString(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
fromTagString(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures: Assumes that the tag string has been formed using a call to getTag().
fromTensor(SimpleTensor) - Static method in class edu.stanford.nlp.neural.ConvertModels
fromValues(int, int) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span: Safe way to construct Spans if you're not sure which value is higher.
fromValues(Object...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
fromXml(String) - Static method in class edu.stanford.nlp.time.Timex
FScore(Counter<D>, Counter<D>, double) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
fscorer - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
fSize - Variable in class edu.stanford.nlp.maxent.Problem
fSpec - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
FTB_ENCODING - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
FTB_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
FTBCorrector - Class in edu.stanford.nlp.international.french.pipeline: Makes FTB trees consistent with FrenchTreebankLanguagePack.
FTBCorrector() - Constructor for class edu.stanford.nlp.international.french.pipeline.FTBCorrector
FTBCorrectorVisitor - Class in edu.stanford.nlp.international.french.pipeline: Wrapper class for using the ATBCorrector class with TreebankPipeline's TVISITOR parameter.
FTBCorrectorVisitor() - Constructor for class edu.stanford.nlp.international.french.pipeline.FTBCorrectorVisitor
FTBDataset - Class in edu.stanford.nlp.international.french.pipeline: Produces the pre-processed version of the FTB used in the experiments of Green et al.
FTBDataset() - Constructor for class edu.stanford.nlp.international.french.pipeline.FTBDataset
ftbFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer: Returns a factory for FrenchTokenizer that replicates the tokenization of Green, de Marneffe, and Manning (2011).
ftilde() - Method in class edu.stanford.nlp.maxent.Feature
ftilde() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
ftildeArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve: This is an array of empirical expectations for the features
FULLNUM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
FULLWIDTH - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
Function - Interface in edu.stanford.nlp.optimization: An interface for double-valued functions over double arrays.
function - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
FunctionCallExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
FunctionCallExpression(String, List<? extends Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
FunctionDataSeries(String, IntToDoubleFunction, ToIntFunction<Object>, DataSeries) - Constructor for class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries
FunctionDataSeries(String, IntToDoubleFunction, ToIntFunction<Object>) - Constructor for class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries
FunctionDataSeries(String, IntToDoubleFunction, int, DataSeries) - Constructor for class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries
FunctionDataSeries(String, IntToDoubleFunction, int) - Constructor for class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries
functions - Variable in class edu.stanford.nlp.maxent.Problem: These are the features.
Functions - Class in edu.stanford.nlp.util: Utility code for Function.
functionWords - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
FuzzyInterval<E extends FuzzyInterval.FuzzyComparable<E>> - Class in edu.stanford.nlp.util: A FuzzyInterval is an extension of Interval where not all endpoints are always specified or comparable.
FuzzyInterval.FuzzyComparable<T> - Interface in edu.stanford.nlp.util: Interface with a looser ordering than Comparable.
fuzzyMatch - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Whether to do a fuzzy matching when matching seeds to text.
FW_ETC_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
FW_ETC_PAT_target - Static variable in class edu.stanford.nlp.trees.EnglishPatterns

G

gain - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
gain - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
GainCompute(Feature, double) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve: Computes the gain from a feature.
gainSchedule(int, double) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
gainSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Gale2007ChineseSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.wordseg: A Chinese segmenter Feature Factory for the GALE project.
Gale2007ChineseSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
GaleP4LexMapper - Class in edu.stanford.nlp.international.arabic.pipeline: Applies a default set of lexical transformations that have been empirically validated in various Arabic tasks.
GaleP4LexMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.GaleP4LexMapper
GamePlayerBenchmark - Class in edu.stanford.nlp.loglinear.benchmarks: Created on 9/11/15.
GamePlayerBenchmark() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark
GamePlayerBenchmark.SampleState - Class in edu.stanford.nlp.loglinear.benchmarks
gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath: Approximation to gamma function.
Gamma - Class in edu.stanford.nlp.stats: Represents a Gamma distribution.
Gamma(double) - Constructor for class edu.stanford.nlp.stats.Gamma
gapDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
gapEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
gappingTransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
gatherQuotes(CoreMap) - Static method in class edu.stanford.nlp.pipeline.QuoteAnnotator: Helper method to recursively gather all embedded quotes.
GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
gazetteerLocation - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
geDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
gen - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
gen - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
gen - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
gender - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
gender - Variable in class edu.stanford.nlp.coref.data.Mention
gender - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
gender - Variable in class edu.stanford.nlp.dcoref.Mention
gender(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations: Annotate for gender of tokens
gender(Properties, String) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations: Annotate for gender of tokens
gender - Variable in class edu.stanford.nlp.quoteattribution.Person
GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
GENDER_NUMBER_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
GENDER_NUMBER_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
GenderAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.GenderAnnotation
GenderAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenderAnnotation
GenderAnnotator - Class in edu.stanford.nlp.pipeline: This class adds gender information (MALE / FEMALE) to entity mentions as GenderAnnotations.
GenderAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.GenderAnnotator
genderNumber - Variable in class edu.stanford.nlp.coref.data.Dictionaries
genderNumber - Variable in class edu.stanford.nlp.dcoref.Dictionaries
genders - Variable in class edu.stanford.nlp.coref.data.CorefCluster
genders - Variable in class edu.stanford.nlp.dcoref.CorefCluster
gendersAgree(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
gendersAgree(Mention, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
gendersAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
gendersAgree(Mention, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
GeneralDataset<L,F> - Class in edu.stanford.nlp.classify: The purpose of this interface is to unify Dataset and RVFDataset.
GeneralDataset() - Constructor for class edu.stanford.nlp.classify.GeneralDataset
GeneralizedCounter<K> - Class in edu.stanford.nlp.stats: A class for keeping double counts of Lists of a prespecified length.
GeneralizedCounter(int) - Constructor for class edu.stanford.nlp.stats.GeneralizedCounter: Constructs a new GeneralizedCounter of a specified depth
generalizedDependencyPath(List<SemanticGraphEdge>, IndexedWord) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
GeneralizedExpectationObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify: Implementation of Generalized Expectation Objective function for an I.I.D.
GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>) - Constructor for class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
generalizeRelation(GrammaticalRelation) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
GenerateAlignmentData - Class in edu.stanford.nlp.scenegraph: Generates a bitext of sentences and corresponding relations and attributes.
GenerateAlignmentData() - Constructor for class edu.stanford.nlp.scenegraph.GenerateAlignmentData
generateCCProcessedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Deprecated.
Use SemanticGraphFactory.generateEnhancedDependencies(Tree) or SemanticGraphFactory.generateEnhancedPlusPlusDependencies(Tree) instead.
generateCCProcessedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Deprecated.
Use SemanticGraphFactory.generateEnhancedDependencies(GrammaticalStructure) or SemanticGraphFactory.generateEnhancedPlusPlusDependencies(GrammaticalStructure) instead.
generateCCProcessedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Deprecated.
Use SemanticGraphFactory.generateEnhancedDependencies(GrammaticalStructure) or SemanticGraphFactory.generateEnhancedPlusPlusDependencies(GrammaticalStructure) instead.
generateCollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Deprecated.
Use SemanticGraphFactory.generateEnhancedDependencies(Tree) or SemanticGraphFactory.generateEnhancedPlusPlusDependencies(Tree) instead.
generateCollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Deprecated.
Use SemanticGraphFactory.generateEnhancedDependencies(GrammaticalStructure) or SemanticGraphFactory.generateEnhancedPlusPlusDependencies(GrammaticalStructure) instead.
generateCollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Deprecated.
Use SemanticGraphFactory.generateEnhancedDependencies(GrammaticalStructure) or SemanticGraphFactory.generateEnhancedPlusPlusDependencies(GrammaticalStructure) instead.
generateDict(List<String>, int) - Static method in class edu.stanford.nlp.parser.nndep.Util: Build a dictionary of words collected from a corpus.
generateDict(List<String>) - Static method in class edu.stanford.nlp.parser.nndep.Util
generateEnhancedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an enhanced dependencies SemanticGraph.
generateEnhancedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an enhanced dependencies SemanticGraph.
generateEnhancedPlusPlusDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an enhanced++ dependencies SemanticGraph.
generateEnhancedPlusPlusDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an enhanced++ dependencies SemanticGraph.
generateOriginalDependencies - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
generateOriginalDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Whether to generate original Stanford Dependencies or the newer Universal Dependencies.
generateOriginalDependencies - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: For languages where a Universal Dependency converter exists this variable determines whether the original or the Universal converter will be used.
generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
generateOriginalDependencies() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Used for languages where an original Stanford Dependency converter and a Universal Dependency converter exists.
generateParseException() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser: Generate ParseException.
generateSentenceModel(ConcatVectorNamespace, CoNLLBenchmark.CoNLLSentence, List<String>) - Method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark
GenerateTrees - Class in edu.stanford.nlp.trees: Generates trees based on simple grammars.
GenerateTrees() - Constructor for class edu.stanford.nlp.trees.GenerateTrees
generateUncollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an Uncollapsed (basic) SemanticGraph.
generateUncollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Produces an Uncollapsed (basic) SemanticGraph.
generateUncollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory: Deprecated.
Use SemanticGraphFactory.generateUncollapsedDependencies(GrammaticalStructure) instead.
generic - Variable in class edu.stanford.nlp.coref.data.Mention
generic - Variable in class edu.stanford.nlp.dcoref.Mention
GENERIC_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
GENERIC_TIME_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
GenericAnnotationSerializer - Class in edu.stanford.nlp.pipeline: Serializes Annotation objects using the default Java serializer
GenericAnnotationSerializer(boolean) - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer
GenericAnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer
GenericAnnotationSerializer.AppendingObjectOutputStream - Class in edu.stanford.nlp.pipeline: Turns out, an ObjectOutputStream cannot append to a file.
GenericDataSetReader - Class in edu.stanford.nlp.ie.machinereading
GenericDataSetReader() - Constructor for class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
GenericDataSetReader(StanfordCoreNLP, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
genericKeys - Static variable in class edu.stanford.nlp.ling.CoreLabel
Generics - Class in edu.stanford.nlp.util: A collection of utilities to make dealing with Java generics less painful and verbose.
GenericTimeExpressionPatterns - Class in edu.stanford.nlp.time: Provides generic mechanism to convert natural language into temporal representation by reading patterns/rules specifying mapping between text and temporal objects from file.
GenericTimeExpressionPatterns(Options) - Constructor for class edu.stanford.nlp.time.GenericTimeExpressionPatterns
GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
GenericTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
GenericTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
GenericWebServiceAnnotator - Class in edu.stanford.nlp.pipeline: A simple web service annotator that can be defined through properties: annotatorEndpoint: a URL endpoint for annotator the service annotatorRequires: Requirements for the annotator annotatorProvides: Annotations provided by the annotator annotatorStartCommand: command line and arguments to start the service.
GenericWebServiceAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
genre - Variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
genStop - Variable in class edu.stanford.nlp.parser.lexparser.Options
genTrainExamples(List<CoreMap>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
genVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
GERMAN_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
German_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: German = 5;
germanAbbreviations - Variable in class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor
GermanDocument - Class in edu.stanford.nlp.simple: A sentence running with the German models.
GermanDocument(String) - Constructor for class edu.stanford.nlp.simple.GermanDocument: Create a new document from the passed in text.
GermanDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.GermanDocument: Convert a CoreNLP Annotation object to a Document.
GermanDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.GermanDocument: Create a Document object from a read Protocol Buffer.
GermanDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.GermanDocument: Create a new German document from the passed in text and the given properties.
GermanSentence - Class in edu.stanford.nlp.simple: A Sentence, but in German.
GermanSentence(String) - Constructor for class edu.stanford.nlp.simple.GermanSentence
GermanSentence(List<String>) - Constructor for class edu.stanford.nlp.simple.GermanSentence
GermanSentence(CoreNLPProtos.Sentence) - Constructor for class edu.stanford.nlp.simple.GermanSentence
GermanTokenizerPostProcessor - Class in edu.stanford.nlp.international.german.process: German tokenization is handled by PTBLexer.
GermanTokenizerPostProcessor() - Constructor for class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor
GermanTreebankTokenReport - Class in edu.stanford.nlp.international.german.scripts
GermanTreebankTokenReport() - Constructor for class edu.stanford.nlp.international.german.scripts.GermanTreebankTokenReport
GermanTreebankUDUpdater - Class in edu.stanford.nlp.international.german.scripts
GermanTreebankUDUpdater() - Constructor for class edu.stanford.nlp.international.german.scripts.GermanTreebankUDUpdater
GermanUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: An unknown word model for German; relies on BaseUnknownWordModel plus number matching.
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel: This constructor creates an UWM with empty data structures.
GermanUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
GermanUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
get(String) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
get(String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary: Fetches the index of this string If mCreate is true, the entry is created if it does not exist.
get(int) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary: Reverse mapping from integer key to string value
get(Set) - Method in class edu.stanford.nlp.ie.pascal.Prior: Map<String, boolean>
get(double, String) - Method in class edu.stanford.nlp.ie.qe.QuantifiableEntityExtractor
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
get(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
get(Iterable<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
get(K[]) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
get(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher: Returns the ith element
get(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
get() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Value: The Java object representing the value of the expression.
get(int) - Method in class edu.stanford.nlp.maxent.Experiments
get(int) - Method in class edu.stanford.nlp.maxent.Features
get(String) - Method in class edu.stanford.nlp.neural.Embedding
get(String) - Method in class edu.stanford.nlp.parser.shiftreduce.WeightMap
get(String) - Method in class edu.stanford.nlp.pipeline.AnnotatorPool: Retrieve an Annotator from the pool.
get(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
get(int) - Method in class edu.stanford.nlp.stats.DataSeries.ArrayDataSeries
get(int) - Method in class edu.stanford.nlp.stats.DataSeries.AverageDataSeries
get(int) - Method in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries
get(int) - Method in interface edu.stanford.nlp.stats.DataSeries
get(int) - Method in class edu.stanford.nlp.stats.DataSeries.ListDataSeries
get(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Get a tree by index from the Treebank.
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap: Returns the value associated with the given key or null if none is provided.
get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
get(Object) - Method in class edu.stanford.nlp.util.CacheMap
get(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
get() - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble: Gets the current value.
get(int) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
get(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix: Retrieves the number of entries with this guess and gold.
get(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
get(int) - Method in class edu.stanford.nlp.util.DeltaIndex
get(Object) - Method in class edu.stanford.nlp.util.DeltaMap: This may cost twice what it would in the original Map.
get(K1, K2, K3, K4, K5) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
get(K1, K2, K3, K4) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
get(K1, K2, K3) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
get(K1, K2) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
get(K1) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
get(K1, K2, K3, K4) - Method in class edu.stanford.nlp.util.FourDimensionalMap
get(K1, K2, K3) - Method in class edu.stanford.nlp.util.FourDimensionalMap
get(K1, K2) - Method in class edu.stanford.nlp.util.FourDimensionalMap
get(K1) - Method in class edu.stanford.nlp.util.FourDimensionalMap
get(int) - Method in class edu.stanford.nlp.util.HashIndex: Gets the object whose index is the integer argument.
get(int) - Method in interface edu.stanford.nlp.util.Index: Gets the object whose index is the integer argument.
get() - Method in class edu.stanford.nlp.util.IntArray
get(int) - Method in class edu.stanford.nlp.util.IntTuple
get() - Method in class edu.stanford.nlp.util.Lazy: Get the value of this Lazy, computing it if necessary.
get(U, int) - Method in class edu.stanford.nlp.util.MapList
get(int) - Method in class edu.stanford.nlp.util.PaddedList
get(Properties, String, E, Type) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Get the value of a property and automatically cast it to a specific type.
get(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap
get(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
get(K1, K2) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
get(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
get(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap: Returns the value associated with the given key or null if none is provided.
get1GramRank(String) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked: Return rank of 1 gram in google ngeams if it is less than 20k.
GET_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
GET_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
getAccCoverage() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
getAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
getAccuracyDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats: Returns a String summarizing overall accuracy that will print nicely.
getAccuracyInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats: Return overall per token accuracy
getAcl(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
getAcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "acl" grammatical relation.
getAcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
getAction() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
getActivePair() - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
getActiveTreebanks() - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel: Returns all treebanks corresponding to the files stored in the panel that are selected
getAdaptationPrior(double[], LogPrior) - Static method in class edu.stanford.nlp.classify.LogPrior
getAdvcl(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
getAdvcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "advcl" grammatical relation.
getAdvcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
getAffixFeatures() - Method in class edu.stanford.nlp.ie.ChineseMorphFeatureSets
getAfter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The whitespace/xml after the token
getAfter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The whitespace/xml after the token
getAfter() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The whitespace/xml after the token
getAfterBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The whitespace/xml after the token
getAfterBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The whitespace/xml after the token
getAfterBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The whitespace/xml after the token
getAggregator(Map<Class, CoreMapAttributeAggregator>) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
getAggregator(Map<Class, CoreMapAttributeAggregator>, Class) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
getAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
getAggregator(String) - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
getAlignments() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Get all values corresponding to the indices (if they exist in the map).
getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.Maps: get all values corresponding to the indices (if they exist in the map)
getAllAnnotations() - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
getAllAnnotations(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
getAllEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getAllEdges() - Method in interface edu.stanford.nlp.graph.Graph
getAllEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getAllEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getAllEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getAllHighestScoringTreesTest(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
getAllHolidays(Holidays, Set<Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
getAllHolidays(Configuration, Set<Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
getAllHolidays(Configuration) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
getAllHolidaysCVMap(Set<Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
getAllHolidaysCVMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
getAllHolidaysMap(Set<Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
getAllHolidaysMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
getAllNodesByPartOfSpeechPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getAllNodesByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns all nodes of type IndexedWord in this SemanticGraph having the given word or regex, or returns empty list if no such found.
getAllOptions() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getAllOptions() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
getAllPatterns(Map<String, DataInstance>, Properties, ConstantsAndVariables.PatternForEachTokenWay) - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns: creates all patterns and saves them in the correct PatternsForEachToken* class appropriately
getAllRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getAllRelations(RelationMentionFactory, CoreMap, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils: Get list of all relations and non-relations between EntityMentions in this sentence Use with care.
getAllRelations(RelationMentionFactory) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence: Get list of all relations and non-relations between ArgForRelations in this sentence Use with care.
getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
getAllUnrelatedRelations(RelationMentionFactory, CoreMap, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
getAllUnrelatedRelations(RelationMentionFactory) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
getAllVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getAllVertices() - Method in interface edu.stanford.nlp.graph.Graph
getAllWeights() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefModel
getAlternateForms() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
getAlternativeDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAltTag() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures: An alternate tag form than the one produced by getTag().
getAltValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional string altValue = 2;
getAltValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex: optional string altValue = 2;
getAltValue() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder: optional string altValue = 2;
getAltValueBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional string altValue = 2;
getAltValueBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex: optional string altValue = 2;
getAltValueBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder: optional string altValue = 2;
getAmbClass(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getAmount() - Method in class edu.stanford.nlp.ie.qe.SimpleQuantifiableEntity
getAnaphorEmbedding(SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
getAnaphoricityExamples(List<DocumentExamples>) - Static method in class edu.stanford.nlp.coref.statistical.PairwiseModelTrainer
getAnaphoricityFeatures(Mention, Document, Map<Integer, List<Mention>>) - Method in class edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor
getAnaphoricityModel() - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
getAnaphoricityScore(SimpleMatrix, SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
getAnaphorMatrix() - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
getAnchor() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
getAnchor() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
getAndAdd(double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble: Atomically adds the given value to the current value.
getAndSet(double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble: Atomically sets to the given value and returns the old value.
getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string animacy = 5;
getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string animacy = 5;
getAnimacy() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string animacy = 5;
getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string animacy = 5;
getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string animacy = 5;
getAnimacy() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string animacy = 5;
getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string animacy = 5;
getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string animacy = 5;
getAnimacyBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string animacy = 5;
getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string animacy = 5;
getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string animacy = 5;
getAnimacyBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string animacy = 5;
getAnnotatedBinaryTreebankFromTreebank(Treebank) - Method in class edu.stanford.nlp.international.arabic.parsesegment.JointParsingModel
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
getAnnotatedChunk(List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Create a new chunk Annotation with basic chunk information.
getAnnotatedChunk(List<CoreLabel>, int, int, int, Class, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Create a new chunk Annotation with basic chunk information.
getAnnotatedChunk(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Create a new chunk Annotation with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + annotation's TokenBeginAnnotation TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + annotation's TokenBeginAnnotation TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunk(CoreMap, int, int, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Create a new chunk Annotation with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + annotation's TokenBeginAnnotation TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + annotation's TokenBeginAnnotation TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunks(List<CoreLabel>, int, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier: Find and annotate chunks.
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier: Find and annotate chunks.
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>, boolean, Class, Class, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Create a list of new chunk Annotation with basic chunk information.
getAnnotatedChunkUsingCharOffsets(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Returns a chunk annotation based on char offsets.
getAnnotatedFile(String, String, Properties) - Static method in class edu.stanford.nlp.quoteattribution.XMLToAnnotation
getAnnotatedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTree() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotation() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
getAnnotation() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
getAnnotation() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
getAnnotationPatterns() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
getAnnotations(String, int) - Method in interface edu.stanford.nlp.pipeline.AnnotationSource: Returns a iterable of annotations given input string (i.e.
getAnnotations(String) - Method in interface edu.stanford.nlp.pipeline.AnnotationSource: Returns a iterable of annotations given input string (i.e.
getAnnotations(StanfordCoreNLP, SentimentPipeline.Input, String, boolean) - Static method in class edu.stanford.nlp.sentiment.SentimentPipeline: Reads an annotation from the given filename using the requested input.
getAnnotationString(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams: Build a string of annotations for the given tree.
getAnnotatorImplementations() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Get the implementation of each relevant annotator in the pipeline.
getAnswer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: A temporary annotation which is occasionally left in
getAnswer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: A temporary annotation which is occasionally left in
getAnswer() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: A temporary annotation which is occasionally left in
getAnswerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: A temporary annotation which is occasionally left in
getAnswerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: A temporary annotation which is occasionally left in
getAnswerBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: A temporary annotation which is occasionally left in
getAnswerClass() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getAnswers(List<IN>, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
getAntecedentEmbedding(SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
getAntecedentMatrix() - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
getAntecedentType(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getAntecedentTypeStr(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
getAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 appositions = 54;
getAppositions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 appositions = 54;
getAppositionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
getAppositionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 appositions = 54;
getAppositionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 appositions = 54;
getAppositionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
getAppositionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 appositions = 54;
getAppositionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 appositions = 54;
getArabicIBMNormalizerMap() - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicUtils
getArabicSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Arabic character info
getArabicSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Arabic character info
getArabicSeg() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Arabic character info
getArabicSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Arabic character info
getArabicSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Arabic character info
getArabicSegBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Arabic character info
getArc(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Slow implementation.
getArcBySourceAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Can only be one because automaton is deterministic.
getArch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getArcs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
getArcsByInput(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getArcsBySource(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getArcsByTarget(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getArcsByTargetAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph: Returns a Set of type TransducerGraph.Arc.
getArg(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
getArg(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
getArg(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
getArg(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArg(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArg(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgName(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
getArgName(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated string argName = 6;
getArgName(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated string argName = 6;
getArgNameBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
getArgNameBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated string argName = 6;
getArgNameBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated string argName = 6;
getArgNameCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
getArgNameCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated string argName = 6;
getArgNameCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated string argName = 6;
getArgNameList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
getArgNameList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated string argName = 6;
getArgNameList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated string argName = 6;
getArgNames() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
getArgOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgs() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
getArgs() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
getArgs() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
getArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
getAssignmentValue(int[]) - Method in class edu.stanford.nlp.loglinear.inference.TableFactor: Just a pass through to the NDArray version, plus a Math.exp to ensure that to the outside world the TableFactor doesn't look like it's in log-space
getAssignmentValue(int[]) - Method in class edu.stanford.nlp.loglinear.model.NDArray: Retrieve a single value for an assignment.
getAssignmentValue(int[]) - Method in class edu.stanford.nlp.loglinear.model.NDArrayDoubles: Retrieve a single value for an assignment.
getAssumedTruth() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: optional bool assumedTruth = 3;
getAssumedTruth() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment: optional bool assumedTruth = 3;
getAssumedTruth() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragmentOrBuilder: optional bool assumedTruth = 3;
getAttr(String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
getAttribute(Element, String) - Static method in class edu.stanford.nlp.time.XMLUtils
getAttribute(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
getAttributes() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
getAttributes() - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
getAttributeValue(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader: Fetches the value of a given attribute
getAttributeValue(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
getAttributionDependencyGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string author = 11;
getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string author = 11;
getAuthor() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string author = 11;
getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional string author = 3;
getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: optional string author = 3;
getAuthor() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: optional string author = 3;
getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string author = 11;
getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string author = 11;
getAuthorBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string author = 11;
getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional string author = 3;
getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: optional string author = 3;
getAuthorBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: optional string author = 3;
getAuthorCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional uint32 authorCharBegin = 7;
getAuthorCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: optional uint32 authorCharBegin = 7;
getAuthorCharBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: optional uint32 authorCharBegin = 7;
getAuthorCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional uint32 authorCharEnd = 8;
getAuthorCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: optional uint32 authorCharEnd = 8;
getAuthorCharEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: optional uint32 authorCharEnd = 8;
getAuxReader() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
getb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier
getBase() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
getBaseName(String) - Static method in class edu.stanford.nlp.util.StringUtils: Strip directory from filename.
getBaseName(String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Strip directory and suffix from filename.
getBaseName(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils: Strip directory and suffix from the given name.
getBaseParser() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
getBaseTag(int, TreebankLanguagePack) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
getBasicCategoryFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory() method.
getBasicCategoryFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory method.
getBasicDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicSemanticGraph() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRegion
getBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction: getBatch is used to generate the next sequence of indices to be passed to the actual function.
getBeamSize() - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getBefore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The whitespace/xml before the token
getBefore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The whitespace/xml before the token
getBefore() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The whitespace/xml before the token
getBeforeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The whitespace/xml before the token
getBeforeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The whitespace/xml before the token
getBeforeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The whitespace/xml before the token
getBegin() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 begin = 2;
getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional uint32 begin = 2;
getBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional uint32 begin = 2;
getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder: required uint32 begin = 1;
getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span: required uint32 begin = 1;
getBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpanOrBuilder: required uint32 begin = 1;
getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder: optional int32 begin = 2;
getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation: optional int32 begin = 2;
getBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocationOrBuilder: optional int32 begin = 2;
getBegin() - Method in class edu.stanford.nlp.util.Interval: Returns the start point.
getBeginChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The character offset begin, in the document
getBeginChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The character offset begin, in the document
getBeginChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The character offset begin, in the document
getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional uint32 beginIndex = 6;
getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional uint32 beginIndex = 6;
getBeginIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional uint32 beginIndex = 6;
getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The begin index of, e.g., a span
getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The begin index of, e.g., a span
getBeginIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The begin index of, e.g., a span
getBeginPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional uint32 beginPoint = 6;
getBeginPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex: optional uint32 beginPoint = 6;
getBeginPoint() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder: optional uint32 beginPoint = 6;
getBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
getBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 belongToLists = 58;
getBelongToLists(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 belongToLists = 58;
getBelongToListsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
getBelongToListsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 belongToLists = 58;
getBelongToListsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 belongToLists = 58;
getBelongToListsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
getBelongToListsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 belongToLists = 58;
getBelongToListsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 belongToLists = 58;
getBestBinarizedParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getBestDependencyParse(boolean) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getBestDependencyParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getBestFactoredParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getBestMatched(List<T>, ToDoubleFunction<MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
getBestParse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getBestParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Return the best dependency parse for a sentence.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestParse() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getBestParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getBestParse() - Method in interface edu.stanford.nlp.parser.ViterbiParser: Returns a best parse of the last sentence on which parse was called, or null if none exists.
getBestParses() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestPCFGParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestPCFGParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery: TODO: can we get away with not calling this PCFG?
getBestPCFGParses() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery: TODO: if this is a beam, return all equal parses
getBestScore() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getBestScore() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Gets the score (typically a log probability) of the best parse of a sentence.
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getBestScore(String) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Checks which parser (factored, PCFG, or dependency) was used and returns the score of the best parse from this parser.
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getBestScore() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getBestScore() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getBestScoredParse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getBestTransitionSequence() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getBiasedDataset(ObjectBank<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
getBinarizedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTree() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinaryClassification(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
getBinaryClassifier(L) - Method in class edu.stanford.nlp.classify.OneVsAllClassifier
getBinaryMatrixNames(List<TwoDimensionalMap<String, String, SimpleMatrix>>) - Static method in class edu.stanford.nlp.parser.dvparser.AverageDVModels
getBinaryTensor(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
getBinaryTransform(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
getBlock(Object) - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
getBlock(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getBool(Map<String, String>, String) - Static method in class edu.stanford.nlp.util.Maps: Load a boolean property from a Map.
getBool(Map<String, String>, String, boolean) - Static method in class edu.stanford.nlp.util.Maps: Load a boolean property from a Map.
getBool(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a boolean property.
getBool(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a boolean property.
getBooleanArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
getBoundaryCharacter() - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
getBuffer(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration: Get the sentence index of the kth word on the buffer.
getBufferedFileReader(String) - Static method in class edu.stanford.nlp.io.IOUtils: Deprecated.
Just call readerFromString(filename)
getBufferedReader(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader: Wraps the given Reader in a BufferedReader or returns it directly if it is already a BufferedReader.
getBufferedReaderFromClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils: Deprecated.
Just call readerFromString(filename)
getBufferSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
getByteEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
getByteEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getByteOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
getByteOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getByteStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
getByteStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getC() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory: Get the C parameter (for the slack variables) for training the SVM.
getCalendar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional uint64 calendar = 8;
getCalendar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: optional uint64 calendar = 8;
getCalendar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: optional uint64 calendar = 8;
getCalibratedCliqueTree(int[][][], List<Index<CRFLabel>>, int, Index<E>, E, CliquePotentialFunction, double[][][]) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
getCalibratedCliqueTree(double[], double, int[][], int[][][], List<Index<CRFLabel>>, int, Index<E>, E) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree: This function assumes a LinearCliquePotentialFunction is used for wrapping the weights
getCalibratedCliqueTree(float[][], int[][][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
getCanonicalEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional uint32 canonicalEntityMentionIndex = 11;
getCanonicalEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional uint32 canonicalEntityMentionIndex = 11;
getCanonicalEntityMentionIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional uint32 canonicalEntityMentionIndex = 11;
getCanonicalMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string canonicalMention = 19;
getCanonicalMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string canonicalMention = 19;
getCanonicalMention() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string canonicalMention = 19;
getCanonicalMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 canonicalMentionBegin = 20;
getCanonicalMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional uint32 canonicalMentionBegin = 20;
getCanonicalMentionBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional uint32 canonicalMentionBegin = 20;
getCanonicalMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string canonicalMention = 19;
getCanonicalMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string canonicalMention = 19;
getCanonicalMentionBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string canonicalMention = 19;
getCanonicalMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 canonicalMentionEnd = 21;
getCanonicalMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional uint32 canonicalMentionEnd = 21;
getCanonicalMentionEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional uint32 canonicalMentionEnd = 21;
getCase() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getCategory() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's 'category' (e.g., parse tree node)
getCategory() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's 'category' (e.g., parse tree node)
getCategory() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's 'category' (e.g., parse tree node)
getCategoryAndFunctionFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction() method.
getCategoryAndFunctionFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction method.
getCategoryBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's 'category' (e.g., parse tree node)
getCategoryBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's 'category' (e.g., parse tree node)
getCategoryBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's 'category' (e.g., parse tree node)
getChainID() - Method in class edu.stanford.nlp.coref.data.CorefChain
getChainID() - Method in class edu.stanford.nlp.dcoref.CorefChain
getChainID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: required int32 chainID = 1;
getChainID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain: required int32 chainID = 1;
getChainID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder: required int32 chainID = 1;
getChanged() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder: optional bool changed = 2;
getChanged() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult: optional bool changed = 2;
getChanged() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder: optional bool changed = 2;
getChapterIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: quote stuff
getChapterIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: quote stuff
getChapterIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: quote stuff
getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacter(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacter(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacter(char) - Static method in class edu.stanford.nlp.util.Characters
getCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterNgrams(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils: Build a list of character-based ngrams from the given string.
getCharacterOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 characterOffsetBegin = 5;
getCharacterOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional uint32 characterOffsetBegin = 5;
getCharacterOffsetBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional uint32 characterOffsetBegin = 5;
getCharacterOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 characterOffsetEnd = 6;
getCharacterOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional uint32 characterOffsetEnd = 6;
getCharacterOffsetEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional uint32 characterOffsetEnd = 6;
getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: required uint32 charBegin = 1;
getCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: required uint32 charBegin = 1;
getCharBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: required uint32 charBegin = 1;
getCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: required uint32 charEnd = 2;
getCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: required uint32 charEnd = 2;
getCharEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: required uint32 charEnd = 2;
getCharOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
getChars(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap: What are the Characters with this primary radical?
getChild(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) - Method in class edu.stanford.nlp.trees.Tree: Return the child at some daughter index.
getChild(Object, int) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
getChildBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildByAttribute(Node, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader: Searches for children that have the given attribute
getChildByName(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader: Searches (recursively) for the first child that has the given name
getChildByNameAndAttribute(Node, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader: Searches for children that have the given name and attribute
getChildCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount(Object) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
getChildList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getChildOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildren(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getChildren(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it is just the neighbors
getChildren() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
getChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
getChildren() - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree: Returns a List of children for the current node.
getChildrenByName(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader: Searches for all immediate children with the given name
getChildrenWithPrepC(SemanticGraph, IndexedWord) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Since graphs can be have preps collapsed, finds all the immediate children of this node that are linked by a collapsed preposition edge.
getChildrenWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a set of all children bearing a certain grammatical relation, or an empty set if none.
getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Returns a list of all children bearing a grammatical relation starting with the given string, relnPrefix
getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, Collection<String>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Returns a list of all children bearing a grammatical relation starting with the given set of relation prefixes
getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a set of all children bearing one of a set of grammatical relations, or an empty set if none.
getChildTrie(K) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
getChildTrie(Iterable<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
getChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the first IndexedFeatureLabel bearing a certain grammatical relation, or null if none.
getChineseChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Chinese character info
getChineseChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Chinese character info
getChineseChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Chinese character info
getChineseCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Chinese character info
getChineseCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Chinese character info
getChineseCharBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Chinese character info
getChineseSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string chineseSeg = 55;
getChineseSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string chineseSeg = 55;
getChineseSeg() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string chineseSeg = 55;
getChineseSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string chineseSeg = 55;
getChineseSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string chineseSeg = 55;
getChineseSegBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string chineseSeg = 55;
getChineseXMLChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string chineseXMLChar = 60;
getChineseXMLChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string chineseXMLChar = 60;
getChineseXMLChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string chineseXMLChar = 60;
getChineseXMLCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string chineseXMLChar = 60;
getChineseXMLCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string chineseXMLChar = 60;
getChineseXMLCharBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string chineseXMLChar = 60;
getChunk() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getChunker() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
getChunkOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
getChunkOffsetsUsingCharOffsets(List<? extends CoreMap>, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Return chunk offsets
getClass(String, Dictionary, int, TTags) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
getClassifier(String) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier: Return a new ColumnDataClassifier object based on a serialized object.
getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier: Return a new ColumnDataClassifier object based on a serialized object.
getClassifier() - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
getClassifier() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
getClassifier(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier: Loads a CRF classifier from a filepath, and returns it.
getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier: Loads a CRF classifier from an InputStream, and returns it.
getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
getClassifier(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
getClassifier(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifier(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner: Static method for getting an NERClassifierCombiner from a string path.
getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
getClassifier() - Method in class edu.stanford.nlp.quoteattribution.ExtractQuotesClassifier
getClassifierCreator(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
getClassifierNoExceptions(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifierNoExceptions(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
getClassifierType(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getClasss() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
getClassWeight(int) - Method in class edu.stanford.nlp.sentiment.RNNTrainOptions: The classWeights can be passed in as a comma separated list of weights using the -classWeights flag.
getClassWForNode(Tree) - Method in class edu.stanford.nlp.sentiment.SentimentModel
getCliqueFeatures(PaddedList, int, Clique) - Method in class edu.stanford.nlp.ie.EmbeddingFeatureFactory
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.ie.NERFeatureFactory: Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory: Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.sequences.FeatureFactory: This method returns a Collection of the features calculated for the word at the specified position in info (the list of words) for the specified Clique.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.sequences.MalletFeatureFactory
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory: Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory: Extracts all the features from the input data at a certain index.
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) - Method in interface edu.stanford.nlp.ie.crf.HasCliquePotentialFunction
getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
getCliques() - Method in class edu.stanford.nlp.sequences.FeatureFactory
getCliques(int, int) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
getCliqueTree(Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
getCliqueTree(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
getCliqueTrees(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Want to make arbitrary probability queries? Then this is the method for you.
getClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getClosedTagThreshold() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getCloseNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder: bool closeNode = 2;
getCloseNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node: bool closeNode = 2;
getCloseNode() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.NodeOrBuilder: bool closeNode = 2;
getClosestIndices(IndexedWord, IndexedWord) - Static method in class edu.stanford.nlp.scenegraph.SceneGraphUtils
getClosestMention(CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ClosestMentionSieve
getClusterID() - Method in class edu.stanford.nlp.coref.data.CorefCluster
getClusterID() - Method in class edu.stanford.nlp.dcoref.CorefCluster
getClusterMerges(ClustererDataLoader.ClustererDoc) - Method in class edu.stanford.nlp.coref.statistical.Clusterer
getCmd() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
getCmd() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
getCmd(String) - Static method in class edu.stanford.nlp.optimization.CmdEvaluator
getCoarseNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's coarse NER tag
getCoarseNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's coarse NER tag
getCoarseNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's coarse NER tag
getCoarseNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's coarse NER tag
getCoarseNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's coarse NER tag
getCoarseNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's coarse NER tag
getCoarseTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The coarse POS tag (used to store the UPOS tag)
getCoarseTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The coarse POS tag (used to store the UPOS tag)
getCoarseTag() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The coarse POS tag (used to store the UPOS tag)
getCoarseTagBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The coarse POS tag (used to store the UPOS tag)
getCoarseTagBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The coarse POS tag (used to store the UPOS tag)
getCoarseTagBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The coarse POS tag (used to store the UPOS tag)
getCodepointOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 codepointOffsetBegin = 74;
getCodepointOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional uint32 codepointOffsetBegin = 74;
getCodepointOffsetBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional uint32 codepointOffsetBegin = 74;
getCodepointOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 codepointOffsetEnd = 75;
getCodepointOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional uint32 codepointOffsetEnd = 75;
getCodepointOffsetEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional uint32 codepointOffsetEnd = 75;
getCollapsedCCProcessedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollectionValuedMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
getCombinedF1(double, List<List<Integer>>, List<Clusterer.Cluster>, Map<Integer, List<Integer>>, Map<Integer, Clusterer.Cluster>) - Static method in class edu.stanford.nlp.coref.statistical.EvalUtils
getComments() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Return the list of comments stored with this graph.
getCommonAncestor(SemanticGraph, IndexedWord, IndexedWord) - Static method in class edu.stanford.nlp.scenegraph.SceneGraphUtils
getCommonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the least common ancestor.
getCommonEngWords() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getCompatible(SUTime.PartialTime, SUTime.PartialTime) - Static method in class edu.stanford.nlp.time.SUTime.PartialTime
getComponent(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponent(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponent(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentOrBuilder(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getComponentOrBuilderList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree: Computes the distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
getCondProbs(CRFCliqueTree<String>, int[][][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
getConfidence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The [optional] confidence of the extraction
getConfidence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The [optional] confidence of the extraction
getConfidence() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The [optional] confidence of the extraction
getConfiguration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.MyXMLManager
getConj(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "conj" grammatical relation.
getConj(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
getConj(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "conj" grammatical relation.
getConjs() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
getConjs() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
getConllEvalString(boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
getConllEvalSummary(String, String, String) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
getConllUFeatures() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeatures() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeatures() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string conllUMisc = 35;
getConllUMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string conllUMisc = 35;
getConllUMisc() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string conllUMisc = 35;
getConllUMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string conllUMisc = 35;
getConllUMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string conllUMisc = 35;
getConllUMiscBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string conllUMisc = 35;
getConllUSecondaryDeps() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDeps() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDeps() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUTokenSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpan() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConnectedComponents(Graph<V, E>) - Static method in class edu.stanford.nlp.graph.ConnectedComponents
getConnectedComponents() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getConnectedComponents() - Method in interface edu.stanford.nlp.graph.Graph
getConnection() - Static method in class edu.stanford.nlp.patterns.SQLConnection
getConstrainedSet(String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary: Get the allowed label set for an observation.
getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getContent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
getContentsCase() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
getContentsCase() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
getContentsCase() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.NodeOrBuilder
getContentType(Properties, StanfordCoreNLP.OutputFormat) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.CoreNLPHandler: Get the response data type to send to the client, based off of the output format requested from CoreNLP.
getContext() - Method in class edu.stanford.nlp.coref.data.Mention
getContext() - Method in class edu.stanford.nlp.dcoref.Mention
getContext(DataInstance, int, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.dep.DepPatternFactory
getContext(PatternFactory.PatternType, DataInstance, int, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.Pattern: Get set of patterns around this token.
getContext(List<CoreLabel>, int, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePatternFactory
getContextStr(String) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
getContextToken(CoreLabel) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
getContingency(U) - Method in class edu.stanford.nlp.util.ConfusionMatrix: Returns the contingency table for the given class label, where all other class labels are treated as negative.
getConversationalNextPrediction(List<CoreMap>, int, Person.Gender) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
getConversationalPreviousPrediction(List<CoreMap>, int, Person.Gender) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
getConversions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConversionsOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
getConverterOptions(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
getCoordination() - Method in class edu.stanford.nlp.coref.data.Mention
getCoordination() - Method in class edu.stanford.nlp.dcoref.Mention
getCopy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
getCopy() - Method in class edu.stanford.nlp.util.IntPair
getCopy() - Method in class edu.stanford.nlp.util.IntQuadruple
getCopy() - Method in class edu.stanford.nlp.util.IntTriple
getCopy() - Method in class edu.stanford.nlp.util.IntTuple
getCopy() - Method in class edu.stanford.nlp.util.IntUni
getCopyAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder: optional uint32 copyAnnotation = 3;
getCopyAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node: optional uint32 copyAnnotation = 3;
getCopyAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.NodeOrBuilder: optional uint32 copyAnnotation = 3;
getCopyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder: optional uint32 copyCount = 4;
getCopyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord: optional uint32 copyCount = 4;
getCopyCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWordOrBuilder: optional uint32 copyCount = 4;
getCorefChain(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChain(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChain(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainMap() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
getCorefChainMap() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
getCorefChainOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefClusterId() - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
getCorefClusterId() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 corefClusterID = 15;
getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional int32 corefClusterID = 15;
getCorefClusterID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional int32 corefClusterID = 15;
getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The [primary] cluster id for this token
getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The [primary] cluster id for this token
getCorefClusterID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The [primary] cluster id for this token
getCorefID() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
getCorefID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string corefID = 11;
getCorefID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional string corefID = 11;
getCorefID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional string corefID = 11;
getCorefIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string corefID = 11;
getCorefIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional string corefID = 11;
getCorefIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional string corefID = 11;
getCorefMentionFilter(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
getCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
getCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: mention index info
getCorefMentionIndex(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: mention index info
getCorefMentionIndexCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
getCorefMentionIndexCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: mention index info
getCorefMentionIndexCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: mention index info
getCorefMentionIndexList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
getCorefMentionIndexList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: mention index info
getCorefMentionIndexList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: mention index info
getCorefMentions() - Method in class edu.stanford.nlp.coref.data.CorefCluster
getCorefMentions() - Method in class edu.stanford.nlp.dcoref.CorefCluster
getCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappings(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated int32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated int32 corefMentionToEntityMentionMappings = 17;
getCoreLabel(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
getCoreLabels() - Method in class edu.stanford.nlp.parser.nndep.Configuration
getCoreMapQuotes(List<Pair<Integer, Integer>>, List<CoreLabel>, List<CoreMap>, String, String, boolean) - Static method in class edu.stanford.nlp.pipeline.QuoteAnnotator
getCorrect() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats: Return overall number of correct answers
getCorrect(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
getCost() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
getCost(V) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
getCost() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
getCount(int) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
getCount(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns the count for this key as a double.
getCount(Object) - Method in interface edu.stanford.nlp.stats.Counter: Returns the count for this key as a double.
getCount(E) - Method in class edu.stanford.nlp.stats.Distribution: Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: Equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o}); works only for depth 1 GeneralizedCounters
getCount(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2}); works only for depth 2 GeneralizedCounters
getCount(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2,o3}); works only for depth 3 GeneralizedCounters
getCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter: Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
getCount(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCount(Object) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
getCount(String) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked: Queries the SQL tables for the count of the phrase.
getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
getCounter() - Method in class edu.stanford.nlp.stats.Distribution
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getCounter(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
getCountIn() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCountPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCountRB() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCounts(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
getCounts(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter: returns a double[] array of length depth+1, containing the conditional counts on a depth-length list given each level of conditional distribution from 0 to depth.
getCounts(Collection<String>) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
getCountThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
getCountThat(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
getCurEncoding() - Static method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
getCurrentFilename() - Method in class edu.stanford.nlp.trees.DiskTreebank: Returns the absolute path of the file currently being read.
getCurrentPaths() - Method in class edu.stanford.nlp.trees.DiskTreebank
getCurrentSieveForTrain(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getCurrentTime() - Static method in class edu.stanford.nlp.time.SUTime
getCurWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getCustom() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
getData() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
getData(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder: repeated double data = 2;
getData(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component: repeated double data = 2;
getData(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.ComponentOrBuilder: repeated double data = 2;
getDataArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
getDataCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder: repeated double data = 2;
getDataCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component: repeated double data = 2;
getDataCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.ComponentOrBuilder: repeated double data = 2;
getDataInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
getDataList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder: repeated double data = 2;
getDataList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component: repeated double data = 2;
getDataList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.ComponentOrBuilder: repeated double data = 2;
getDataOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
getDataset(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier: Build a Dataset from some data.
getDataset(Collection<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier: Build a Dataset from some data.
getDataset(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier: Build a Dataset from some data.
getDataset(Dataset<String, String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier: Build a Dataset from some data.
getDatasets() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
getDate() - Method in class edu.stanford.nlp.time.Timex: Gets the Calendar matching the year, month and day of this Timex.
getDateString() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance: Provided for backwards compatibility with DateInstance; returns the same thing as toString()
getDatetime() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional string datetime = 5;
getDatetime() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: optional string datetime = 5;
getDatetime() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: optional string datetime = 5;
getDatetimeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: optional string datetime = 5;
getDatetimeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section: optional string datetime = 5;
getDatetimeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder: optional string datetime = 5;
getDateTimeFields() - Method in class edu.stanford.nlp.time.SUTime.Duration
getDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
getDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
getDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
getDay() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
getDebug() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDebugPrefix() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDeepTrees() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
getDefaultAggregator() - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
getDefaultAggregators() - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
getDefaultAnnotatorPool(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Construct the default annotator pool, and save it as the static annotator pool for CoreNLP.
getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier: Used to get the default supplied classifier inside the jar file.
getDefaultClassifier(Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier: Used to get the default supplied classifier inside the jar file.
getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier: Used to obtain the default classifier which is stored inside a jar file.
getDefaultColor() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
getDefaultNegTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
getDefaultNestedResultsAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultNestedResultsAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultOptions() - Method in enum edu.stanford.nlp.pipeline.TokenizerAnnotator.TokenizerType
getDefaultOutputPath() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
getDefaultPosTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
getDefaultResultAnnotationExtractor(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultResultsAnnotationExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaults() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultScore() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig: Returns a default score to be used for each tag that is incompatible with the current word (e.g., the tag CC for the word "apple").
getDefaultStringMatchFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultStringPatternFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultTagSeparator() - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getDefaultTextAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultTextAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultTokensAggregator() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultTokensAggregator(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultTokensAggregators() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultTokensAggregators(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultTokensAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultTokensAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultTokensResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
getDefaultTokensResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
getDefaultUnit() - Method in class edu.stanford.nlp.ie.qe.Unit
getDefaultUnitScale() - Method in class edu.stanford.nlp.ie.qe.Unit
getDeleteTempFilesOnExitFlag() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
getDemonyms(String) - Method in class edu.stanford.nlp.coref.data.Dictionaries: Returns a set of demonyms for a country (or city or region).
getDemonyms(String) - Method in class edu.stanford.nlp.dcoref.Dictionaries: Returns a set of demonyms for a country (or city or region).
getDenseComponent(int) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector: This function will throw an assert if the component you're requesting isn't dense
getDep() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional string dep = 3;
getDep() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge: optional string dep = 3;
getDep() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder: optional string dep = 3;
getDepBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional string dep = 3;
getDepBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge: optional string dep = 3;
getDepBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder: optional string dep = 3;
getDependencies(String, String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient: Returns the String output of the dependencies.
getDependencyBlanket(SemanticGraph, Collection<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given a SemanticGraph, and a set of nodes, finds the "blanket" of nodes that are one edge away from the set of nodes passed in.
getDependencyParser() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getDependencyParser() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getDependencyParser() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getDependent() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getDependentIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
getDependents(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
getDependents(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated string dependents = 52;
getDependents(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated string dependents = 52;
getDependentsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
getDependentsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated string dependents = 52;
getDependentsBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated string dependents = 52;
getDependentsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
getDependentsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated string dependents = 52;
getDependentsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated string dependents = 52;
getDependentsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
getDependentsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated string dependents = 52;
getDependentsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated string dependents = 52;
getDependingVerb() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerb() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerb() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDepName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge
getDerivative() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
getDerivatives() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve: assuming we have the lambdas in the array and we need only the derivatives now.
getDerivativesExpectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve: assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
getDerivativesLossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve: Using the arrays calculated when computing the loss, it should not be too hard to get the derivatives.
getDerivativesNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve: assuming we have the lambdas in the array and we need only the derivatives now.
getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter: Returns a description of what extension is being used (for file choosers).
getDescription() - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction: Returns a string describing what this function does.
getDescription() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
getDescription(int) - Method in class edu.stanford.nlp.stats.AccuracyStats
getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats: Returns a String summarizing F1 that will print nicely.
getDescription(int) - Method in interface edu.stanford.nlp.stats.Scorer
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
getDescriptor() - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
getDescriptor() - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
getDescriptor() - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Sentiment
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
getDescriptorForType() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
getDescriptorForType() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
getDescriptorForType() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Sentiment
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
getDevDataPath(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
getDiag(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
getDictOddsScore(CandidatePhrase, String, double) - Method in class edu.stanford.nlp.patterns.PhraseScorer
getDiffConstituents() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
getDiffDecoratedTree() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
getDimensions() - Method in class edu.stanford.nlp.loglinear.model.NDArray
getDimensions() - Method in class edu.stanford.nlp.loglinear.model.NDArrayDoubles
getDimensionSize(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated int32 dimensionSize = 1;
getDimensionSize(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated int32 dimensionSize = 1;
getDimensionSize(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated int32 dimensionSize = 1;
getDimensionSizeCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated int32 dimensionSize = 1;
getDimensionSizeCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated int32 dimensionSize = 1;
getDimensionSizeCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated int32 dimensionSize = 1;
getDimensionSizeList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated int32 dimensionSize = 1;
getDimensionSizeList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated int32 dimensionSize = 1;
getDimensionSizeList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated int32 dimensionSize = 1;
getDimirMunfasala() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
getDimirMutasala() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
getDirPath(Properties, String, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Get the value of a property as a path to a directory.
getDisplay() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
getDisplayName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
getDisplayName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.WordlistTest
getDistribution(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a Distribution from the given counter.
getDistributionFromLogValues(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution: Creates a Distribution from the given counter, ie makes an internal copy of the counter and divides all counts by the total count.
getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution: Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
getDistributionWithReservedMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
getDistSimWtScore(String, String) - Method in class edu.stanford.nlp.patterns.PhraseScorer
getDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: required .edu.stanford.nlp.pipeline.Document doc = 1;
getDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest: required .edu.stanford.nlp.pipeline.Document doc = 1;
getDoc() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequestOrBuilder: required .edu.stanford.nlp.pipeline.Document doc = 1;
getDocBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: required .edu.stanford.nlp.pipeline.Document doc = 1;
getDocCnt() - Method in class edu.stanford.nlp.pipeline.AnnotationIterator
getDocDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional string docDate = 7;
getDocDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: optional string docDate = 7;
getDocDate() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: optional string docDate = 7;
getDocDateBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional string docDate = 7;
getDocDateBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: optional string docDate = 7;
getDocDateBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: optional string docDate = 7;
getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional string docID = 4;
getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: optional string docID = 4;
getDocID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: optional string docID = 4;
getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder: optional int32 docID = 3;
getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord: optional int32 docID = 3;
getDocID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWordOrBuilder: optional int32 docID = 3;
getDocid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string docid = 9;
getDocid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string docid = 9;
getDocid() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string docid = 9;
getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: doc id
getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: doc id
getDocID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: doc id
getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional string docID = 4;
getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: optional string docID = 4;
getDocIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: optional string docID = 4;
getDocidBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string docid = 9;
getDocidBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string docid = 9;
getDocidBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string docid = 9;
getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: doc id
getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: doc id
getDocIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: doc id
getDocIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
getDocIterator(Reader, boolean) - Method in class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
getDocOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder: required .edu.stanford.nlp.pipeline.Document doc = 1;
getDocOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest: required .edu.stanford.nlp.pipeline.Document doc = 1;
getDocOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequestOrBuilder: required .edu.stanford.nlp.pipeline.Document doc = 1;
getDocument() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder: required .edu.stanford.nlp.pipeline.Document document = 1;
getDocument() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest: required .edu.stanford.nlp.pipeline.Document document = 1;
getDocument() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequestOrBuilder: required .edu.stanford.nlp.pipeline.Document document = 1;
getDocumentBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder: required .edu.stanford.nlp.pipeline.Document document = 1;
getDocumentEmbedding(Document) - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
getDocumentID() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
getDocumentID() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
getDocumentId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
getDocumentId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
getDocumentOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder: required .edu.stanford.nlp.pipeline.Document document = 1;
getDocumentOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest: required .edu.stanford.nlp.pipeline.Document document = 1;
getDocumentOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequestOrBuilder: required .edu.stanford.nlp.pipeline.Document document = 1;
getDomainNgramScore(String) - Method in class edu.stanford.nlp.patterns.PhraseScorer
getdot() - Method in class edu.stanford.nlp.math.DoubleAD
getDouble(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a double property.
getDouble(Properties, String, double) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load a double property.
getDoubleArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Loads a comma-separated list of doubles from Properties.
getDownsamplingRate(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getDuration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
getDuration() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
getDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
getDuration(Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
getDuration() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
getDuration() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
getDuration() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
getDuration() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
getDuration() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Range
getDuration() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
getDuration() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Temporal
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Time
getDuration() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
getDuration() - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
getDVModel() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
getE() - Method in class edu.stanford.nlp.parser.nndep.Classifier
getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdge(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getEdge(IndexedWord, IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Given a governor, dependent, and the relation between them, returns the SemanticGraphEdge object of that arc if it exists, otherwise returns null.
getEdge(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
getEdge() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
getEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveNamedEdge
getEdgeNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher: Returns the set of names for named edges in this pattern
getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdgeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
getEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
getEdges(Hook) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
getEdgesOverSpan(int, int) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getEdgesSpannedByVertices(Collection<IndexedWord>, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given a set of nodes from a SemanticGraph, returns the set of edges that are spanned between these nodes.
getEditDistanceFromEnglishWords() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEditDistanceFromEnglishWordsMatches() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEditDistanceFromOtherClasses(String, String, int) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEditDistanceFromThisClass(String, String, int) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEditDistanceScoresOtherClass(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEditDistanceScoresOtherClassThreshold(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables: 1 if lies in edit distance, 0 if not close to any words
getEditDistanceScoresThisClass(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEditDistanceScoresThisClassThreshold(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEditScript() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
getEltText(Element) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon: For a given Element, treats the first child as a text element and returns its value.
getEmbeddingExtractor() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefModel
getEmbeddings(String, List<CoNLLBenchmark.CoNLLSentence>) - Method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark
getEmbeddingSize() - Method in class edu.stanford.nlp.neural.Embedding
getEmptyIndex() - Method in class edu.stanford.nlp.ling.CoreLabel: Similar to a copy node in IndexedWord, but not exactly, as the word can have its own attributes.
getEmptyIndex() - Method in class edu.stanford.nlp.ling.IndexedWord
getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder: optional uint32 emptyIndex = 4;
getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node: optional uint32 emptyIndex = 4;
getEmptyIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.NodeOrBuilder: optional uint32 emptyIndex = 4;
getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 emptyIndex = 80;
getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional uint32 emptyIndex = 80;
getEmptyIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional uint32 emptyIndex = 80;
getEnableTsurgeon() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getEncoding() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
getEncoding(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
getEncoding() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getEncoding() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
getEncoding() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack: Return the input Charset encoding for the Treebank.
getEncoding() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Return the charset encoding of the Treebank.
getEncoding() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
getEnd() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 end = 3;
getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional uint32 end = 3;
getEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional uint32 end = 3;
getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder: required uint32 end = 2;
getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span: required uint32 end = 2;
getEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpanOrBuilder: required uint32 end = 2;
getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder: optional int32 end = 3;
getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation: optional int32 end = 3;
getEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocationOrBuilder: optional int32 end = 3;
getEnd() - Method in class edu.stanford.nlp.util.Interval: Returns the end point.
getEndChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The character offset end, in the document
getEndChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The character offset end, in the document
getEndChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The character offset end, in the document
getEndDate() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance: Returns this date or if it is a range, the date the range ends.
getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional uint32 endIndex = 7;
getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional uint32 endIndex = 7;
getEndIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional uint32 endIndex = 7;
getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional uint32 endIndex = 9;
getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional uint32 endIndex = 9;
getEndIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional uint32 endIndex = 9;
getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The begin index of, e.g., a span
getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The begin index of, e.g., a span
getEndIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The begin index of, e.g., a span
getEndIndex(int, List<CoreLabel>, String) - Static method in class edu.stanford.nlp.quoteattribution.XMLToAnnotation
getEndNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph
getEndPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder: optional uint32 endPoint = 7;
getEndPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex: optional uint32 endPoint = 7;
getEndPoint() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder: optional uint32 endPoint = 7;
getEndWordVector() - Method in class edu.stanford.nlp.neural.Embedding
getEndWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
getEnglishSplitCategories(String) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats: This is hardwired to calculate the split categories from English Penn Treebank sections 2-21 with a default cutoff of 300 (as used in ACL03PCFG).
getEnglishWords() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getEnhancedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedPlusPlusDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedSemanticGraph() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRegion
getEnhancedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: the quote annotator can soometimes add merged sentences
getEnhancedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: the quote annotator can soometimes add merged sentences
getEnhancedSentence() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: the quote annotator can soometimes add merged sentences
getEnhancedSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: the quote annotator can soometimes add merged sentences
getEnhancedSentenceOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: the quote annotator can soometimes add merged sentences
getEnhancedSentenceOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: the quote annotator can soometimes add merged sentences
getEnhancedSentenceOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: the quote annotator can soometimes add merged sentences
getEntailedClause(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
getEntailedClause(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed clauses, by natural logic
getEntailedClause(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed clauses, by natural logic
getEntailedClauseBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
getEntailedClauseBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
getEntailedClauseCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
getEntailedClauseCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed clauses, by natural logic
getEntailedClauseCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed clauses, by natural logic
getEntailedClauseList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
getEntailedClauseList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed clauses, by natural logic
getEntailedClauseList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed clauses, by natural logic
getEntailedClauseOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
getEntailedClauseOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed clauses, by natural logic
getEntailedClauseOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed clauses, by natural logic
getEntailedClauseOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
getEntailedClauseOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed clauses, by natural logic
getEntailedClauseOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed clauses, by natural logic
getEntailedSentence(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
getEntailedSentence(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed sentences, by natural logic
getEntailedSentence(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed sentences, by natural logic
getEntailedSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
getEntailedSentenceBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
getEntailedSentenceCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
getEntailedSentenceCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed sentences, by natural logic
getEntailedSentenceCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed sentences, by natural logic
getEntailedSentenceList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
getEntailedSentenceList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed sentences, by natural logic
getEntailedSentenceList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed sentences, by natural logic
getEntailedSentenceOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
getEntailedSentenceOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed sentences, by natural logic
getEntailedSentenceOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed sentences, by natural logic
getEntailedSentenceOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
getEntailedSentenceOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The entailed sentences, by natural logic
getEntailedSentenceOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The entailed sentences, by natural logic
getEntity(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEntity(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntity(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntity(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityMention(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEntityMentionArgs() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: Fetches the arguments of this relation that are entity mentions
getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional uint32 entityMentionIndex = 10;
getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional uint32 entityMentionIndex = 10;
getEntityMentionIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional uint32 entityMentionIndex = 10;
getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint32 entityMentionIndex = 65;
getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional uint32 entityMentionIndex = 65;
getEntityMentionIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional uint32 entityMentionIndex = 65;
getEntityMentions(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEntityMentions(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
getEntityMentions(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.Entity
getEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
getEntityMentionText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string entityMentionText = 12;
getEntityMentionText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string entityMentionText = 12;
getEntityMentionText() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string entityMentionText = 12;
getEntityMentionTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string entityMentionText = 12;
getEntityMentionTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string entityMentionText = 12;
getEntityMentionTextBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string entityMentionText = 12;
getEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappings(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: repeated int32 entityMentionToCorefMentionMappings = 18;
getEntityOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityResultsPrinterSet() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
getEntityType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string entityType = 6;
getEntityType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string entityType = 6;
getEntityType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string entityType = 6;
getEntityTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string entityType = 6;
getEntityTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string entityType = 6;
getEntityTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string entityType = 6;
getEntityTypeForTag(String) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
getEntityTypeForTag(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.roth.RothEntityExtractor
getEnv() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
getEpsilon() - Method in class edu.stanford.nlp.classify.LogPrior
getError() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
getEvalbF1Percent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getEvals() - Method in class edu.stanford.nlp.parser.dvparser.CombinedDVModelReranker
getEvals() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
getEvals() - Method in interface edu.stanford.nlp.parser.lexparser.Reranker
getEvals() - Method in class edu.stanford.nlp.parser.lexparser.TaggerReranker
getEvalSummary(String, String, String) - Static method in class edu.stanford.nlp.coref.CorefScorer
getEvent(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEventMention(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEventMentions(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
getEventMentions(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
getEventMentions(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.Event
getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
getExact() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getExactPercent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getExamples(List<DocumentExamples>) - Static method in class edu.stanford.nlp.coref.statistical.PairwiseModelTrainer
getExctWsRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
getExistingAnnotator(String) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
getExponentialSchedule(double, double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
getExpression(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
getExpressionExtractor(Env, Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
getExtension(String) - Static method in class edu.stanford.nlp.io.IOUtils
getExtent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
getExtent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
getExtent() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 extentEnd = 3;
getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional uint32 extentEnd = 3;
getExtentEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional uint32 extentEnd = 3;
getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: optional uint32 extentEnd = 3;
getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: optional uint32 extentEnd = 3;
getExtentEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: optional uint32 extentEnd = 3;
getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 extentStart = 2;
getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional uint32 extentStart = 2;
getExtentStart() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional uint32 extentStart = 2;
getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: optional uint32 extentStart = 2;
getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: optional uint32 extentStart = 2;
getExtentStart() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: optional uint32 extentStart = 2;
getExtentString() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
getExtentTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
getExtentTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
getExtractorFrames(String) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
getExtractorFramesRare(String, TTags) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare: Get an array of rare word feature Extractor identified by a name.
getExtraEvals() - Method in class edu.stanford.nlp.parser.common.ParserGrammar: Returns a list of extra Eval objects to use when scoring the parser.
getExtraEvals() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getExtraEvals() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser: TODO: add an eval which measures transition accuracy?
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Get extra dependencies that do not depend on the tree structure, but rather only depend on the existing dependency structure.
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
getF1() - Method in class edu.stanford.nlp.coref.statistical.EvalUtils.AbstractEvaluator
getF1() - Method in class edu.stanford.nlp.coref.statistical.EvalUtils.CombinedEvaluator
getF1() - Method in interface edu.stanford.nlp.coref.statistical.EvalUtils.Evaluator
getF1() - Method in class edu.stanford.nlp.dcoref.CorefScorer
getF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder: required double f1 = 1;
getF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse: required double f1 = 1;
getF1() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponseOrBuilder: required double f1 = 1;
getF1Description(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats: Returns a String summarizing F1 that will print nicely.
getF1Description(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
getF1Description(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Returns a String summarizing F1 that will print nicely.
getF1History() - Method in class edu.stanford.nlp.parser.metrics.EvaluateTreebank
getFactor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactor(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactoredParser() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getFactoredParser() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getFactoredParser() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getFactorList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorOrBuilder(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorOrBuilderList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
getFactorTable(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTable(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTable(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableOrBuilder(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTableOrBuilderList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder: repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
getFactorTables() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
getFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator: Returns a factory that vends DelimitRegExIterators that read the contents of the given Reader, splits on the specified delimiter, then returns the result.
getFactory(String, Function<String, T>) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator: Returns a factory that vends DelimitRegExIterators that reads the contents of the given Reader, splits on the specified delimiter, applies op, then returns the result.
getFactory() - Static method in class edu.stanford.nlp.objectbank.LineIterator: Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory(Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.LineIterator: Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory(String) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator: Returns a factory that vends BeginEndIterators that reads the contents of the given Reader, extracts text between the specified Strings, then returns the result.
getFactory(String, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
getFactory(String, Function<String, E>) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
getFactory(String, Function<String, E>, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
getFactory() - Method in class edu.stanford.nlp.stats.ClassicCounter: Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in interface edu.stanford.nlp.stats.Counter: Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in class edu.stanford.nlp.stats.IntCounter
getFactory() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
getFamilyAnimateVocative(List<CoreMap>, int, Person.Gender, List<String>) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
getFCounter(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
getFeature(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
getFeature(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
getFeatureCount(double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier: Returns number of features with weight above a certain threshold (across all labels).
getFeatureCount(Set<L>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier: Returns number of features with weight above a certain threshold.
getFeatureCount(F) - Method in class edu.stanford.nlp.ling.RVFDatum
getFeatureCounter() - Method in class edu.stanford.nlp.classify.Dataset: Get Number of datums a given feature appears in.
getFeatureCountLabelIndices(Set<Integer>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier: Returns number of features with weight above a certain threshold.
getFeatureCounts() - Method in class edu.stanford.nlp.classify.GeneralDataset: Get the total count (over all data instances) of each feature
getFeatureCounts() - Method in class edu.stanford.nlp.classify.WeightedDataset
getFeatureCountThreshold(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getFeatureFromCoreLabel(CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
getFeatureGrouping() - Method in interface edu.stanford.nlp.optimization.HasFeatureGrouping
getFeatureIndex() - Method in class edu.stanford.nlp.classify.LogisticClassifier
getFeatures(Example, Map<Integer, CompressedFeatureVector>, Compressor<String>) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor
getFeatures(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
getFeatures(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
getFeatures(Configuration) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
getFeatures() - Method in class edu.stanford.nlp.patterns.CandidatePhrase
getFeatures() - Method in class edu.stanford.nlp.patterns.dep.ExtractedPhrase
getFeatures(SemanticGraph, IndexedWord, boolean, Collection<String>, GrammaticalRelation) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
getFeaturesTable() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
getFeaturesTable() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
getFeaturesTable() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
getFeaturesTableBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
getFeaturesTableOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
getFeaturesTableOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
getFeaturesTableOrBuilder() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder: required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
getFeatureValue(String) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
getFieldIndex(String) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
getFile(boolean) - Method in class edu.stanford.nlp.ie.crf.NERGUI
getFile(boolean) - Method in class edu.stanford.nlp.ie.NERGUI
getFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getFile() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
getFileInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils: Get a input file stream (automatically gunzip depending on file extension)
getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
getFilenames() - Method in class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset.ArabicTreeDecimatedNormalizer
getFilenames() - Method in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
getFilenames() - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
getFilenames() - Method in interface edu.stanford.nlp.trees.treebank.Dataset: Returns the filenames written by Dataset.build().
getFileOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils: Get a output file stream (automatically gzip depending on file extension)
getFileOutputStream(String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
getFiles(File) - Method in class edu.stanford.nlp.ui.JarFileChooser
getFileSentIds(CollectionValuedMap<String, String>) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
getFileSentIdsFromPats(Collection<E>) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
getFinalConllScore(String) - Static method in class edu.stanford.nlp.coref.CorefScorer
getFinalConllScoreFromOutputDir(String, String) - Static method in class edu.stanford.nlp.coref.CorefScorer
getFindType() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
getFineGrainedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's fine-grained NER tag
getFineGrainedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's fine-grained NER tag
getFineGrainedNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's fine-grained NER tag
getFineGrainedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's fine-grained NER tag
getFineGrainedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's fine-grained NER tag
getFineGrainedNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's fine-grained NER tag
getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Finds the E with the highest priority and returns it, without modifying the queue.
getFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue: Returns the highest-priority element without removing it from the queue.
getFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue: Finds the object with the highest priority and returns it, without modifying the queue.
getFirstArg() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention: Retrieves the argument that appears *first* in the sentence
getFirstKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
getFirstMention() - Method in class edu.stanford.nlp.coref.data.CorefCluster
getFirstMention() - Method in class edu.stanford.nlp.dcoref.CorefCluster
getFirstNonNullAttributeFromList(List<String>) - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag: Given a list of attributes, return the first one that is non-null
getFirstRoot() - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the (first) root of this SemanticGraph.
getFirstSyntacticHeadPosition() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: Find the left-most position of an argument's syntactic head
getFirstTranslation(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
getFloatFactorTable(float[][], int[][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
getFMeasure(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
getFMeasure() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
getFMeasure() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Returns the current F1 measure (alpha=0.5).
getFMeasure(double) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Returns the F-Measure with the given mixing parameter (must be between 0 and 1).
getFN() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Returns the current count of false negatives.
getFolds() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
getFont() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getFontName() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
getFontSize() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getFontSize() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
getFourDimensionalMap(K1) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
getFP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Returns the current count of false positives.
getFreshOptimizationState(ConcatVector) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer: This is called at the beginning of each batch optimization.
getFreshOptimizationState(ConcatVector) - Method in class edu.stanford.nlp.loglinear.learning.BacktrackingAdaGradOptimizer
getFullValue() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject: Always returns the text corresponding to the extent of this object, even when getValue is overridden by subclass.
getFunc(int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string gender = 4;
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string gender = 4;
getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string gender = 4;
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string gender = 4;
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string gender = 4;
getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string gender = 4;
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string gender = 9;
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string gender = 9;
getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string gender = 9;
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Fields set by other annotators in CoreNLP
getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Fields set by other annotators in CoreNLP
getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Fields set by other annotators in CoreNLP
getGender(Sieve.MentionData) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string gender = 4;
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string gender = 4;
getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string gender = 4;
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string gender = 4;
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string gender = 4;
getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string gender = 4;
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string gender = 9;
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string gender = 9;
getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string gender = 9;
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Fields set by other annotators in CoreNLP
getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Fields set by other annotators in CoreNLP
getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Fields set by other annotators in CoreNLP
getGenderNumber(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getGeneralizeClasses() - Static method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getGeneralWordClassClusters() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getGeneric() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool generic = 25;
getGeneric() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool generic = 25;
getGeneric() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool generic = 25;
getGenericity() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
getGenre() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
getGfCharacter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
getGlobal() - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner: For getting the instance that global methods use.
getGlobal() - Static method in class edu.stanford.nlp.util.Interner: For getting the instance that global methods use.
getGold() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
getGold() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
getGold() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResultOrBuilder: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
getGoldBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
getGoldClass(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
getGoldCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 goldCorefClusterID = 14;
getGoldCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional int32 goldCorefClusterID = 14;
getGoldCorefClusterID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional int32 goldCorefClusterID = 14;
getGoldLinks() - Method in class edu.stanford.nlp.coref.data.Document
getGoldLinks() - Method in class edu.stanford.nlp.dcoref.Document
getGoldOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
getGoldOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
getGoldOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResultOrBuilder: required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
getGoldTrees(CoreNLPProtos.EvaluateParserRequest) - Static method in class edu.stanford.nlp.parser.metrics.EvaluateExternalParser: Extract the gold trees from a list of requests
getGoogleNgramScore(CandidatePhrase) - Static method in class edu.stanford.nlp.patterns.PhraseScorer
getGovernor() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
getGovernorIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
getGovName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge
getGradb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
getGradE() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
getGradW1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
getGradW2() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
getGrammaticalRelation(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep.
getGrammaticalRelation(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep.
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Build a GrammaticalStructure from a Tree.
getGranularity() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Temporal
getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Time
getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
getGraph() - Method in class edu.stanford.nlp.patterns.dep.DataInstanceDep
getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversionOrBuilder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.DependenciesOrBuilder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraph(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraph(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraph(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraph() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher: Returns the graph associated with this match.
getGraph(SequenceModel, Index<String>) - Static method in class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
getGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphFromMap(Map<String, TransducerGraph>, String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
getGraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: when processing multiple dependency graphs at once, which dependency graph this applies to indexed from 0
getGraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: when processing multiple dependency graphs at once, which dependency graph this applies to indexed from 0
getGraphIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: when processing multiple dependency graphs at once, which dependency graph this applies to indexed from 0
getGraphList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversionOrBuilder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.DependenciesOrBuilder: required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder: optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
getGraphOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGraphOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
getGroup(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroup(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroup(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getGroupOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
getHasBasicDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasBasicDependency = 27;
getHasBasicDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool hasBasicDependency = 27;
getHasBasicDependency() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool hasBasicDependency = 27;
getHasContextParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasContextParseTree = 29;
getHasContextParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool hasContextParseTree = 29;
getHasContextParseTree() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool hasContextParseTree = 29;
getHasCorefAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional bool hasCorefAnnotation = 16;
getHasCorefAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: optional bool hasCorefAnnotation = 16;
getHasCorefAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: optional bool hasCorefAnnotation = 16;
getHasCorefMentionAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: optional bool hasCorefMentionAnnotation = 15;
getHasCorefMentionAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: optional bool hasCorefMentionAnnotation = 15;
getHasCorefMentionAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: optional bool hasCorefMentionAnnotation = 15;
getHasCorefMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional bool hasCorefMentionsAnnotation = 57;
getHasCorefMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional bool hasCorefMentionsAnnotation = 57;
getHasCorefMentionsAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional bool hasCorefMentionsAnnotation = 57;
getHasEnhancedDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasEnhancedDependency = 28;
getHasEnhancedDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool hasEnhancedDependency = 28;
getHasEnhancedDependency() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool hasEnhancedDependency = 28;
getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: used to differentiate between null and empty list
getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: used to differentiate between null and empty list
getHasEntityMentionsAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: used to differentiate between null and empty list
getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: check if there are entity mentions
getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: check if there are entity mentions
getHasEntityMentionsAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: check if there are entity mentions
getHash() - Method in class edu.stanford.nlp.coref.statistical.Clusterer.Cluster
getHasKBPTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: check if there are KBP triples
getHasKBPTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: check if there are KBP triples
getHasKBPTriplesAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: check if there are KBP triples
getHasNumerizedTokensAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional bool hasNumerizedTokensAnnotation = 54;
getHasNumerizedTokensAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional bool hasNumerizedTokensAnnotation = 54;
getHasNumerizedTokensAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional bool hasNumerizedTokensAnnotation = 54;
getHasOpenieTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: check if there are OpenIE triples
getHasOpenieTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: check if there are OpenIE triples
getHasOpenieTriplesAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: check if there are OpenIE triples
getHasRelationAnnotations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: Fields set by other annotators in CoreNLP
getHasRelationAnnotations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: Fields set by other annotators in CoreNLP
getHasRelationAnnotations() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: Fields set by other annotators in CoreNLP
getHasTwin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool hasTwin = 24;
getHasTwin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool hasTwin = 24;
getHasTwin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool hasTwin = 24;
getHasXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
getHasXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Used by clean xml annotator
getHasXmlContext() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Used by clean xml annotator
getHead() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
getHead() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
getHead(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
getHeadEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 headEnd = 7;
getHeadEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional uint32 headEnd = 7;
getHeadEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional uint32 headEnd = 7;
getHeadFinder(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
getHeadFinder() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getHeadFinder() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
getHeadIndex(Tree, HeadFinder) - Static method in class edu.stanford.nlp.coref.data.DocumentPreprocessor
getHeadIndex(Tree) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional uint32 headIndex = 9;
getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional uint32 headIndex = 9;
getHeadIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional uint32 headIndex = 9;
getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 headIndex = 10;
getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional int32 headIndex = 10;
getHeadIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional int32 headIndex = 10;
getHeadIndexedWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWord() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 headStart = 6;
getHeadStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional uint32 headStart = 6;
getHeadStart() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional uint32 headStart = 6;
getHeadString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string headString = 11;
getHeadString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string headString = 11;
getHeadString() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string headString = 11;
getHeadStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string headString = 11;
getHeadStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string headString = 11;
getHeadStringBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string headString = 11;
getHeadTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
getHeadTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional uint32 headTokenIndex = 10;
getHeadTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional uint32 headTokenIndex = 10;
getHeadTokenIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional uint32 headTokenIndex = 10;
getHeadTokenPosition() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
getHeadTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
getHeadWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWord() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
getHeadWordIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
getHeadWordIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
getHeadWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeldOutPercent() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
getHighestScoringTree(Tree, double) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
getHighlightColor() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getHistories(String[], History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence: This computes scores of tags at a position in a sentence (the so called "History").
getHistory() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
getHistoryList() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
getHistorySize() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getHistoryString() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
getID() - Method in class edu.stanford.nlp.fsm.DFSATransition
getId() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
getId() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string id = 3;
getId() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon: optional string id = 3;
getId() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder: optional string id = 3;
getID() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
getID() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.WordlistTest
getID() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonWordlist
getIdBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string id = 3;
getIdBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon: optional string id = 3;
getIdBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder: optional string id = 3;
getIfDefined() - Method in class edu.stanford.nlp.util.Lazy: Get the value of this Lazy if it's been initialized, or else return null.
getIgnoreWordswithClassesDuringSelection() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getIncomingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getIncomingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it is just the edges from the node
getIncomingEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getInDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getInDegree(V) - Method in interface edu.stanford.nlp.graph.Graph: for undirected graph, it should just be the degree
getIndex() - Method in class edu.stanford.nlp.coref.statistical.Compressor
getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder: required uint32 index = 2;
getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node: required uint32 index = 2;
getIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.NodeOrBuilder: required uint32 index = 2;
getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 index = 10;
getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional uint32 index = 10;
getIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional uint32 index = 10;
getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Most serialized annotations will not have this Some code paths may not correctly process this if serialized, since many places will read the index off the position in a sentence In particular, deserializing a Document using ProtobufAnnotationSerializer will clobber any index value But Semgrex and Ssurgeon in particular need a way to pass around nodes where the node's index is not strictly 1, 2, 3, ...
getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: Most serialized annotations will not have this Some code paths may not correctly process this if serialized, since many places will read the index off the position in a sentence In particular, deserializing a Document using ProtobufAnnotationSerializer will clobber any index value But Semgrex and Ssurgeon in particular need a way to pass around nodes where the node's index is not strictly 1, 2, 3, ...
getIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: Most serialized annotations will not have this Some code paths may not correctly process this if serialized, since many places will read the index off the position in a sentence In particular, deserializing a Document using ProtobufAnnotationSerializer will clobber any index value But Semgrex and Ssurgeon in particular need a way to pass around nodes where the node's index is not strictly 1, 2, 3, ...
getIndex(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns the index of the first occurrence in the list of the specified object, using object identity (==) not equality as the criterion for object presence.
getIndex(List<T>, T, int) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns the index of the first occurrence after the startIndex (exclusive) in the list of the specified object, using object equals function.
getIndexAndCount(String) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
getIndexOfChild(Object, Object) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
getIndices() - Method in class edu.stanford.nlp.patterns.dep.ExtractedPhrase
getInDict(String) - Method in class edu.stanford.nlp.wordseg.AffixDictionary
getInexactDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
getInexactDuration(Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
getInformationGains() - Method in class edu.stanford.nlp.classify.Dataset
getInnaSisters() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
getInput() - Method in class edu.stanford.nlp.fsm.DFSATransition
getInput() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
getInputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Returns the input encoding being used.
getInputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams: Returns the input encoding being used.
getInputPath(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
getInputs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
getInputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
getInputStreamFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils: Locates this file either using the given URL, or in the CLASSPATH, or in the file system The CLASSPATH takes priority over the file system! This stream is buffered and gunzipped (if necessary).
getInsertNPinPP() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.EmpiricalNERPriorBIOFactory
getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.EmpiricalNERPriorFactory
getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in interface edu.stanford.nlp.ie.PriorModelFactory
getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.UniformPriorFactory
getInstance() - Static method in class edu.stanford.nlp.international.arabic.ArabicVerbStemBank
getInstance() - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper: Singleton pattern function for getting a default verb stripper.
getInstance(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper: Singleton pattern function for getting a verb stripper based on the dictionary at dictPath.
getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: A method for getting a singleton instance of this class.
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel: Returns the singleton instance of the MatchesPanel
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
getInstant(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
getInstant(Partial, ZoneId) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
getInt(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load an integer property.
getInt(Properties, String, int) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load an integer property.
getIntArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Loads a comma-separated list of integers from Properties.
getIntCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter: Returns the current count for the given key, which is 0 if it hasn't been seen before.
getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
getInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
getInterval() - Method in class edu.stanford.nlp.time.SUTime.Time
getInterval() - Method in interface edu.stanford.nlp.util.HasInterval: Returns the interval
getInterval() - Method in class edu.stanford.nlp.util.Interval: Returns this interval.
getInterval() - Method in class edu.stanford.nlp.util.ValuedInterval
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
getInverseArcs(Object, Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getInverseArcs(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getInverseImages(ExactAutomatonMinimizer.ExactBlock<TransducerGraph.Arc>, Object) - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
getInverseImages(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
getIsDirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isDirectObject = 21;
getIsDirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool isDirectObject = 21;
getIsDirectObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool isDirectObject = 21;
getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional bool isExtra = 4;
getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge: optional bool isExtra = 4;
getIsExtra() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder: optional bool isExtra = 4;
getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: optional bool isExtra = 5;
getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge: optional bool isExtra = 5;
getIsExtra() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder: optional bool isExtra = 5;
getIsFirstMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional bool isFirstMWT = 68;
getIsFirstMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional bool isFirstMWT = 68;
getIsFirstMWT() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional bool isFirstMWT = 68;
getIsIndirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isIndirectObject = 22;
getIsIndirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool isIndirectObject = 22;
getIsIndirectObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool isIndirectObject = 22;
getIsMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mwt stuff
getIsMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: mwt stuff
getIsMWT() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: mwt stuff
getIsNewline() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional bool isNewline = 38;
getIsNewline() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional bool isNewline = 38;
getIsNewline() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional bool isNewline = 38;
getIsPrepositionObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isPrepositionObject = 23;
getIsPrepositionObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool isPrepositionObject = 23;
getIsPrepositionObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool isPrepositionObject = 23;
getIsSingleton() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isSingleton = 26;
getIsSingleton() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool isSingleton = 26;
getIsSingleton() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool isSingleton = 26;
getIsSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional bool isSubject = 20;
getIsSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional bool isSubject = 20;
getIsSubject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional bool isSubject = 20;
getIstmod() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: If true, this expresses an implicit tmod relation
getIstmod() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: If true, this expresses an implicit tmod relation
getIstmod() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: If true, this expresses an implicit tmod relation
getIterations() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter: Iterate over an input document.
getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory: Return an iterator over the contents read from r.
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory: Returns a tokenizer wrapping the given Reader.
getIterator(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.LibSVMReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.MalletReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.MUCDocumentReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory: Same as getTokenizer().
getIterator(Reader) - Method in class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
getIterator(Reader) - Method in class edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter
getJNLPLocalScratch() - Static method in class edu.stanford.nlp.io.IOUtils: A JavaNLP specific convenience routine for obtaining the current scratch directory for the machine you're currently running on.
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.Time
getJodaTimeInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.Time
getJodaTimePeriod(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.Duration
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
getJsonStringList(JsonObject, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils: A utility method for javax json: extract a list of strings from the object
getJustification() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
getJustText(Node) - Static method in class edu.stanford.nlp.quoteattribution.XMLToAnnotation
getKanSisters() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
getKbestF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder: optional double kbestF1 = 2;
getKbestF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse: optional double kbestF1 = 2;
getKbestF1() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponseOrBuilder: optional double kbestF1 = 2;
getKBestParses(List<? extends HasWord>, int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getKBestParses(List<? extends HasWord>, int, boolean) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getKBestParses(Iterable<List<? extends HasWord>>, int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getKBestParses(Iterable<List<? extends HasWord>>, int, boolean) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getKBestParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getKBestParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Return the k best parses of the sentence most recently parsed.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getKBestParses(int) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getKBestParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getKBestParseTrees(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTrees(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTrees(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestPCFGParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery: Returns the trees (and scores) corresponding to the k-best derivations of the sentence.
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery: TODO: return more if this used a beam
getKbpTriple(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
getKbpTriple(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The KBP triples in this sentence
getKbpTriple(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The KBP triples in this sentence
getKbpTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
getKbpTripleBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
getKbpTripleCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
getKbpTripleCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The KBP triples in this sentence
getKbpTripleCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The KBP triples in this sentence
getKbpTripleList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
getKbpTripleList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The KBP triples in this sentence
getKbpTripleList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The KBP triples in this sentence
getKbpTripleOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
getKbpTripleOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The KBP triples in this sentence
getKbpTripleOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The KBP triples in this sentence
getKbpTripleOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
getKbpTripleOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: The KBP triples in this sentence
getKbpTripleOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: The KBP triples in this sentence
getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader: Returns whether created documents will store their source text along with tokenized words.
getKey(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
getKey(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData: repeated string key = 1;
getKey(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder: repeated string key = 1;
getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString: repeated uint32 key = 1;
getKey(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntStringOrBuilder: repeated uint32 key = 1;
getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString: repeated string key = 1;
getKey(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder: repeated string key = 1;
getKeyBytes(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
getKeyBytes(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData: repeated string key = 1;
getKeyBytes(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder: repeated string key = 1;
getKeyBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
getKeyBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString: repeated string key = 1;
getKeyBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder: repeated string key = 1;
getKeyCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
getKeyCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData: repeated string key = 1;
getKeyCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder: repeated string key = 1;
getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString: repeated uint32 key = 1;
getKeyCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntStringOrBuilder: repeated uint32 key = 1;
getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString: repeated string key = 1;
getKeyCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder: repeated string key = 1;
getKeyForClass(Class) - Static method in class edu.stanford.nlp.patterns.surface.Token
getKeyList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder: repeated string key = 1;
getKeyList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData: repeated string key = 1;
getKeyList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder: repeated string key = 1;
getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString: repeated uint32 key = 1;
getKeyList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntStringOrBuilder: repeated uint32 key = 1;
getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString: repeated string key = 1;
getKeyList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder: repeated string key = 1;
getKeySetEntities() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
getKGoodFactoredParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
getKGoodParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Return the list of k "good" parses of the sentence most recently parsed.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Return the list of N "good" parses of the sentence most recently parsed.
getKnownLCWords() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
getKSampledParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser: Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser: Get k parse samples for the sentence.
getL1NormalizedTFIDFDataset() - Method in class edu.stanford.nlp.classify.Dataset: Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
getL1NormalizedTFIDFDatum(Datum<L, F>, Counter<F>) - Method in class edu.stanford.nlp.classify.Dataset: Method to convert features from counts to L1-normalized TFIDF based features
getLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
getLabel(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
getLabel() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
getLabeledMentionPairs(Document) - Static method in class edu.stanford.nlp.coref.CorefUtils
getLabeledToDescriptiveCoreLabelTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions: Returns a function which takes a tree with any label class where the labels might have an interesting description, such as a CategoryWordTag which goes "cat [T/W]", and returns a new tree with CoreLabels which contain the toString() of each of the input labels.
getLabeledTreeToCategoryWordTagTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions: Return a Function that maps from StringLabel labeled trees to LabeledScoredTrees with a CategoryWordTag label.
getLabeledTreeToStringLabeledTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions: Return an Function that maps from Label-labeled trees (any implementing class) to LabeledScored trees with a StringLabel label.
getLabelForInternalNegativeClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
getLabelForInternalPositiveClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
getLabelID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
getLabelIndices(Set<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier: Returns indices of labels
getLabels() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
getLabels() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getLabels() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
getLabelsArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
getLang() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getLanguage(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
getLanguage(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getLanguage(String) - Static method in class edu.stanford.nlp.parser.nndep.Config: Get the Language object corresponding to the given language string.
getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder: .edu.stanford.nlp.pipeline.Language language = 2;
getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest: .edu.stanford.nlp.pipeline.Language language = 2;
getLanguage() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequestOrBuilder: .edu.stanford.nlp.pipeline.Language language = 2;
getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder: optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge: optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder: optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string language = 5;
getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon: optional string language = 5;
getLanguage() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder: optional string language = 5;
getLanguage() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
getLanguage() - Method in class edu.stanford.nlp.trees.GrammaticalRelation: Get the language of the grammatical relation.
getLanguageBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string language = 5;
getLanguageBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon: optional string language = 5;
getLanguageBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder: optional string language = 5;
getLanguageFromString(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo: convert various input strings to language enum
getLanguageProperties(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo: return an actual properties object for a given language
getLanguagePropertiesFile(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo: return the properties file name for a specific language
getLastArg() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention: Retrieves the argument that appears *last* in the sentence
getLastF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval: Return the evalb F1% from the last call to AbstractEval.evaluate(edu.stanford.nlp.trees.Tree, edu.stanford.nlp.trees.Tree).
getLastSyntacticHeadPosition() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: Find the right-most position of an argument's syntactic head
getLatticeWords() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
getLBScore() - Method in class edu.stanford.nlp.parser.metrics.EvaluateTreebank
getLdctype() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees: Gets the ith leaf of a tree from the left.
getLeafVertices() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
getLearnClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getLearnedPatterns(String) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
getLearnedPatterns() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
getLearnedPatternsEachIter() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
getLearnedPatternsEachIter(String) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
getLearnedWords(String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getLearnedWordsAsJson() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getLearnedWordsAsJsonLastIteration() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getLearnedWordsEachIter(String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getLearnedWordsEachIter() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
getLearningRate(String) - Method in interface edu.stanford.nlp.coref.statistical.SimpleLinearClassifier.LearningRateSchedule
getLeaves() - Method in class edu.stanford.nlp.trees.Tree: Gets the leaves of the tree.
getLeaves(List<T>) - Method in class edu.stanford.nlp.trees.Tree: Gets the leaves of the tree.
getLeftAsKey(L) - Method in class edu.stanford.nlp.util.OneToOneMap
getLeftChild(int, int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
getLeftChild(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
getLeftLabelSet(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
getLeftmostNode(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
getLeftValency(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
getLemma() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder: required string lemma = 3;
getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma: required string lemma = 3;
getLemma() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemmaOrBuilder: required string lemma = 3;
getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's lemma
getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's lemma
getLemma() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's lemma
getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder: required string lemma = 3;
getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma: required string lemma = 3;
getLemmaBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemmaOrBuilder: required string lemma = 3;
getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's lemma
getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's lemma
getLemmaBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's lemma
getLemmas(String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient: Get the lemmas for the text according to the parser's lemmatizer (only applies to English), return it as whitespace tokenized text.
getLexicalCondition() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Get the lexicon associated with this unknown word model; usually not used, but might be useful to tell you if a related word is known or unknown, for example.
getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getLexicon() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Returns the lexicon used by this unknown word model.
getLinearSchedule(double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
getLineIterable(Reader, boolean) - Static method in class edu.stanford.nlp.io.IOUtils: Given a reader, returns the lines from the reader as an Iterable.
getLineIterable(Reader, int, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
getLineIterator(String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(String, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(String, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Reader) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Reader, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(File, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Collection<?>, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Collection<?>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineIterator(Collection<?>, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
getLineNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: optional uint32 lineNumber = 20;
getLineNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: optional uint32 lineNumber = 20;
getLineNumber() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: optional uint32 lineNumber = 20;
getLinks(Map<Integer, CorefChain>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
getLinks(Map<Integer, CorefChain>) - Static method in class edu.stanford.nlp.pipeline.CorefAnnotator
getLinks(Map<Integer, CorefChain>) - Static method in class edu.stanford.nlp.pipeline.HybridCorefAnnotator
getListComparator() - Static method in class edu.stanford.nlp.util.CollectionUtils
getListComparator() - Static method in class edu.stanford.nlp.util.Comparators
getListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
getListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 listMembers = 57;
getListMembers(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 listMembers = 57;
getListMembersCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
getListMembersCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 listMembers = 57;
getListMembersCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 listMembers = 57;
getListMembersList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
getListMembersList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: repeated int32 listMembers = 57;
getListMembersList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: repeated int32 listMembers = 57;
getLiteral() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getLnrmRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
getLoc() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
getLocalizedMessage() - Method in exception edu.stanford.nlp.time.SUTimeSimpleParser.SUTimeParsingError
getLoggerLevel() - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
getLong(Properties, String, long) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Load an integer property as a long.
getLongestPhrase(List<PhraseTable.Phrase>) - Static method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
getLongName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
getLowestCommonAncestor(List<Tree>, Tree) - Static method in class edu.stanford.nlp.trees.Trees: Get lowest common ancestor of all the nodes in the list with the tree rooted at root
getLowestCommonAncestor(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees: returns the node of a tree which represents the lowest common ancestor of nodes t1 and t2 dominated by root.
getLWsRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
getMainStrs(List<String>) - Static method in class edu.stanford.nlp.util.AcronymMatcher
getMangledTree() - Method in class edu.stanford.nlp.trees.CollocationFinder: Returns the "collocations included" parse tree.
getMap(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
getMap() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
getMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
getMapping(String) - Method in class edu.stanford.nlp.tagger.maxent.Distsim: Returns the cluster for the given word as a string.
getMargin(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
getMarkLineBreaks() - Method in class edu.stanford.nlp.process.StripTagsProcessor: Returns whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
getMassiBbn() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getMassiClass() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getMassiWnss() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatch(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
getMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
getMatch() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatch(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatch(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatch() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher: Get the last matching node -- that is, the node that matches the root node of the pattern.
getMatch() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
getMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
getMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatched() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
getMatchedColor() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getMatchedColor() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
getMatchedLength() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
getMatchedPartCoordinates() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
getMatchedSentences() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel: Returns all currently displayed sentences in plain text form.
getMatchedTokensByAllPhrases() - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
getMatchedTokensByPhrase(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
getMatcher(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
getMatcher(List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Returns a TokenSequenceMatcher that can be used to match this pattern against the specified list of tokens.
getMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
getMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel: Returns all currently displayed matches in string buffer, penn treebank form (suitable for writing out, for instance)
getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: required int32 matchIndex = 1;
getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: required int32 matchIndex = 1;
getMatchIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: required int32 matchIndex = 1;
getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder: required int32 matchIndex = 2;
getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode: required int32 matchIndex = 2;
getMatchIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder: required int32 matchIndex = 2;
getMatchingMentionsSpans(Annotation, Collection<CorefChain>, Predicate<Pair<CorefChain.CorefMention, List<CoreLabel>>>, boolean) - Static method in class edu.stanford.nlp.coref.CorefUtils
getMatchingSpans(Annotation) - Static method in class edu.stanford.nlp.coref.CorefUtils
getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
getMatchOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
getMatchOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder: required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
getMatchOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder: repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
getMatchPortionOnly() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getMatchType() - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
getMaxAvailableMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
getMaxAvailableMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
getMaxedMarginals() - Method in class edu.stanford.nlp.loglinear.inference.TableFactor: Convenience function to max out all but one variable, and return the marginal array.
getMaxMatches() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
getMaxMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
getMaxNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
getMaxSentDistForSieve(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getMaxSentenceLength() - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
getMaxSize() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
getMaxTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention: Returns the largest start of all argument heads (or the beginning of the mention's extent if there are no arguments)
getMaxTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention: Returns the largest end of the two args heads
getMembers() - Method in interface edu.stanford.nlp.fsm.Block
getMemoryInUse() - Static method in class edu.stanford.nlp.util.SystemUtils: Returns the number of megabytes (MB) of memory in use.
getMention(Integer, String, List<CoreLabel>) - Static method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
getMention(Integer, String, List<CoreLabel>) - Static method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
getMention() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
getMention(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
getMention(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
getMention(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mention = 12;
getMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string mention = 12;
getMention() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string mention = 12;
getMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 mentionBegin = 13;
getMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional uint32 mentionBegin = 13;
getMentionBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional uint32 mentionBegin = 13;
getMentionBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mention = 12;
getMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string mention = 12;
getMentionBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string mention = 12;
getMentionCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
getMentionCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
getMentionCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionData(CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
getMentionDetectionModel(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
getMentionEmbeddings(Mention, SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
getMentionEmbeddingsForFast(Mention) - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
getMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional uint32 mentionEnd = 14;
getMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional uint32 mentionEnd = 14;
getMentionEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional uint32 mentionEnd = 14;
getMentionFeatureIds() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefModel
getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional int32 mentionID = 1;
getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional int32 mentionID = 1;
getMentionID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional int32 mentionID = 1;
getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 mentionID = 1;
getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional int32 mentionID = 1;
getMentionID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional int32 mentionID = 1;
getMentionList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionMap() - Method in class edu.stanford.nlp.coref.data.CorefChain
getMentionMap() - Method in class edu.stanford.nlp.dcoref.CorefChain
getMentionNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional int32 mentionNum = 16;
getMentionNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional int32 mentionNum = 16;
getMentionNum() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional int32 mentionNum = 16;
getMentionOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionPairs(Document) - Static method in class edu.stanford.nlp.coref.CorefUtils
getMentions() - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
getMentions() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
getMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: This field is for entity mentions across the document.
getMentions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: This field is for entity mentions across the document.
getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo: repeated int32 mentions = 2;
getMentions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfoOrBuilder: repeated int32 mentions = 2;
getMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
getMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
getMentionsBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: This field is for entity mentions across the document.
getMentionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: This field is for entity mentions across the document.
getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo: repeated int32 mentions = 2;
getMentionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfoOrBuilder: repeated int32 mentions = 2;
getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: coref mentions for entire document *
getMentionsForCoref(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: coref mentions for entire document *
getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCoref(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
getMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
getMentionsForCorefBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: coref mentions for entire document *
getMentionsForCorefCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: coref mentions for entire document *
getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: coref mentions for entire document *
getMentionsForCorefList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: coref mentions for entire document *
getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: coref mentions for entire document *
getMentionsForCorefOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: coref mentions for entire document *
getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: coref mentions for entire document *
getMentionsForCorefOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: coref mentions for entire document *
getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mentionSieve = 16;
getMentionSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string mentionSieve = 16;
getMentionSieve() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string mentionSieve = 16;
getMentionSieveBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mentionSieve = 16;
getMentionSieveBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string mentionSieve = 16;
getMentionSieveBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string mentionSieve = 16;
getMentionsInTextualOrder() - Method in class edu.stanford.nlp.coref.data.CorefChain: get List of CorefMentions
getMentionsInTextualOrder() - Method in class edu.stanford.nlp.dcoref.CorefChain: get List of CorefMentions
getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: This field is for entity mentions across the document.
getMentionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: This field is for entity mentions across the document.
getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo: repeated int32 mentions = 2;
getMentionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfoOrBuilder: repeated int32 mentions = 2;
getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: This field is for entity mentions across the document.
getMentionsOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: This field is for entity mentions across the document.
getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document: This field is for entity mentions across the document.
getMentionsOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder: This field is for entity mentions across the document.
getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsWithSameHead(IntPair) - Method in class edu.stanford.nlp.coref.data.CorefChain: get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
getMentionsWithSameHead(int, int) - Method in class edu.stanford.nlp.coref.data.CorefChain: get CorefMention by position
getMentionsWithSameHead(IntPair) - Method in class edu.stanford.nlp.dcoref.CorefChain: get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
getMentionsWithSameHead(int, int) - Method in class edu.stanford.nlp.dcoref.CorefChain: get CorefMention by position
getMentionType(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getMentionType() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string mentionType = 2;
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string mentionType = 2;
getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string mentionType = 2;
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string mentionType = 8;
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional string mentionType = 8;
getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional string mentionType = 8;
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string mentionType = 2;
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string mentionType = 2;
getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string mentionType = 2;
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mentionType = 15;
getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string mentionType = 15;
getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string mentionType = 15;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string mentionType = 2;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string mentionType = 2;
getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string mentionType = 2;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string mentionType = 8;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional string mentionType = 8;
getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional string mentionType = 8;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string mentionType = 2;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string mentionType = 2;
getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string mentionType = 2;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder: optional string mentionType = 15;
getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote: optional string mentionType = 15;
getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder: optional string mentionType = 15;
getMentionTypeStr(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getMergedChunk(List<? extends CoreMap>, String, int, int, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive).
getMergedChunk(List<? extends CoreMap>, int, int, Map<Class, CoreMapAttributeAggregator>, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
getMergedList() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
getMergedList(int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
getMergeThreshold(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaData() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaData() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataByReference() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel.Factor
getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataOrBuilder() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMetaDataOrBuilder() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder: optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
getMidPoint(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
getMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getMinimizer() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
getMinimizer(int, Evaluator[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
getMinNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
getMinTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention: Returns the smallest start of all argument heads (or the beginning of the mention's extent if there are no arguments)
getMinTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention: Returns the smallest start of the two args heads
getMinWordsLockTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getMod() - Method in class edu.stanford.nlp.time.SUTime.Temporal
getModal(Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
getModal(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
getModality() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
getMode() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getModel() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
getModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getModelFromLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
getModelMetaDataByReference() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel
getModification() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
getModifiers(Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
getModifiers(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
getMonth() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
getMostGeneral(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
getMostGeneral(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
getMostSpecific(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
getMostSpecific(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
getmPolarity() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
getMultimatched() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
getMultimatches() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
getMultioffsets() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
getMultiPatternMatcher(Collection<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
getMultiPatternMatcher(TokenSequencePattern...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
getMultiPatternMatcher(String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern: Create a multi-pattern matcher for matching across multiple TokensRegex patterns from Strings.
getMultivalues() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
getMwtMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: setting this to a map might be nice, but there are a couple issues for one, there can be values with no key for another, it's a pain to correctly parse, since different treebanks can have different standards for how to write out the misc field
getMwtMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: setting this to a map might be nice, but there are a couple issues for one, there can be values with no key for another, it's a pain to correctly parse, since different treebanks can have different standards for how to write out the misc field
getMwtMisc() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: setting this to a map might be nice, but there are a couple issues for one, there can be values with no key for another, it's a pain to correctly parse, since different treebanks can have different standards for how to write out the misc field
getMwtMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: setting this to a map might be nice, but there are a couple issues for one, there can be values with no key for another, it's a pain to correctly parse, since different treebanks can have different standards for how to write out the misc field
getMwtMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: setting this to a map might be nice, but there are a couple issues for one, there can be values with no key for another, it's a pain to correctly parse, since different treebanks can have different standards for how to write out the misc field
getMwtMiscBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: setting this to a map might be nice, but there are a couple issues for one, there can be values with no key for another, it's a pain to correctly parse, since different treebanks can have different standards for how to write out the misc field
getMwtText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string mwtText = 69;
getMwtText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string mwtText = 69;
getMwtText() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string mwtText = 69;
getMwtTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string mwtText = 69;
getMwtTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string mwtText = 69;
getMwtTextBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string mwtText = 69;
getNAEmbedding() - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
getName() - Method in interface edu.stanford.nlp.coref.CorefDocumentProcessor
getName() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefDataExporter
getName() - Method in class edu.stanford.nlp.ie.qe.Unit
getName() - Method in class edu.stanford.nlp.ie.qe.UnitPrefix
getName() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
getName() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
getName() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
getName() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
getName() - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
getName() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
getName() - Method in class edu.stanford.nlp.optimization.SparseAdaGradMinimizer
getName() - Method in class edu.stanford.nlp.optimization.SQNMinimizer
getName() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
getName() - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required string name = 1;
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator: required string name = 1;
getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder: required string name = 1;
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: required string name = 1;
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge: required string name = 1;
getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder: required string name = 1;
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder: required string name = 1;
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode: required string name = 1;
getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder: required string name = 1;
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder: required string name = 1;
getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation: required string name = 1;
getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelationOrBuilder: required string name = 1;
getName() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
getName() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory: Returns the full class name for the objects being produced
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required string name = 1;
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator: required string name = 1;
getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder: required string name = 1;
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder: required string name = 1;
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge: required string name = 1;
getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder: required string name = 1;
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder: required string name = 1;
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode: required string name = 1;
getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder: required string name = 1;
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder: required string name = 1;
getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation: required string name = 1;
getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelationOrBuilder: required string name = 1;
getNamedNode(String, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit: Used to retrieve the named node.
getNamedNode(String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
getNamesInParagraph(CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
getNColors(int) - Static method in class edu.stanford.nlp.ie.NERGUI
getNegation(Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
getNegation(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
getNegLabel() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
getNegLabel() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
getNeighbor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: repeated int32 neighbor = 2;
getNeighbor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor: repeated int32 neighbor = 2;
getNeighbor(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder: repeated int32 neighbor = 2;
getNeighborCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: repeated int32 neighbor = 2;
getNeighborCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor: repeated int32 neighbor = 2;
getNeighborCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder: repeated int32 neighbor = 2;
getNeighborList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder: repeated int32 neighbor = 2;
getNeighborList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor: repeated int32 neighbor = 2;
getNeighborList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder: repeated int32 neighbor = 2;
getNeighbors(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph: Gets both parents and children nodes
getNeighbors(V) - Method in interface edu.stanford.nlp.graph.Graph
getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: required string ner = 4;
getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: required string ner = 4;
getNer() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: required string ner = 4;
getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's NER tag
getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's NER tag
getNer() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's NER tag
getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: required string ner = 4;
getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: required string ner = 4;
getNerBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: required string ner = 4;
getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's NER tag
getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's NER tag
getNerBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's NER tag
getNerc() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
getNerLabelProbs(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
getNerLabelProbs(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: listing of probs
getNerLabelProbs(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: listing of probs
getNerLabelProbsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
getNerLabelProbsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: listing of probs
getNerLabelProbsBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: listing of probs
getNerLabelProbsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
getNerLabelProbsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: listing of probs
getNerLabelProbsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: listing of probs
getNerLabelProbsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
getNerLabelProbsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: listing of probs
getNerLabelProbsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: listing of probs
getNerString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string nerString = 12;
getNerString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string nerString = 12;
getNerString() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string nerString = 12;
getNerStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string nerString = 12;
getNerStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string nerString = 12;
getNerStringBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string nerString = 12;
getNewEnv() - Static method in class edu.stanford.nlp.ie.NumberNormalizer
getNewEnv() - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
getNewInstance(PatternFactory.PatternType, CoreMap) - Static method in class edu.stanford.nlp.patterns.DataInstance
getNewLineCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
getNewlineToken() - Static method in class edu.stanford.nlp.process.PTBTokenizer: Returns the string literal inserted for newlines when the -tokenizeNLs options is set.
getNewSurfaceInstance(List<CoreLabel>) - Static method in class edu.stanford.nlp.patterns.DataInstance
getNext() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
getNext() - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
getNext() - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
getNext() - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.LexerTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.TokenizerAdapter: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WhitespaceTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WordSegmentingTokenizer
getNext() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer: Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer: Internally fetches the next token.
getNextContext() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
getNextContextLen() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
getNextContextStr() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
getNextDocument() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
getNextDocument() - Method in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
getNextDocument() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
getNextToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser: Get the next Token.
getNGrams(List<T>, int, int) - Static method in class edu.stanford.nlp.util.CollectionUtils: Get all sub-lists of the given list of the given sizes.
getNgrams(List<String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils: n grams for already split string.
getNgramsFromTokens(List<CoreLabel>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils: n grams for already split string.
getNgramsString(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils: The string is split on whitespace and the ngrams are joined with a single space
getNmod(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
getNmod(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "nmod" grammatical relation.
getNmods() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNode(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNode(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher: Returns the node labeled with name in the pattern.
getNode(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
getNode(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
getNode(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher: Returns the node labeled with name in the pattern.
getNode(IntervalTree.TreeNode<E, T>, int) - Method in class edu.stanford.nlp.util.IntervalTree
getNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeByIndex(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the first IndexedWord in this SemanticGraph having the given integer index, or throws IllegalArgumentException if no such node is found.
getNodeByIndexAndCopyCount(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the first IndexedWord in this SemanticGraph having the given integer index, or throws IllegalArgumentException if no such node is found.
getNodeByIndexAndCopyCountSafe(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Same as above, but returns null if the index does not exist (instead of throwing an exception).
getNodeByIndexSafe(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Same as above, but returns null if the index does not exist (instead of throwing an exception).
getNodeByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns the first IndexedWord in this SemanticGraph having the given word or regex, or return null if no such found.
getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher: Returns the set of names for named nodes in this pattern.
getNodeNames() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree: Fetches the ith node in the tree, with node numbers defined as in Tree.nodeNumber(Tree).
getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder: repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
getNodePattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
getNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph: Just does union of keysets of maps.
getNodes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodes(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
getNodes(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
getNodesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodesOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder: repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
getNodeTest(String, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.SsurgTestManager: Given the id of the test, and the match name argument, returns a new instance of the given NodeTest, otherwise throws an exception if not available.
getNodeText(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
getNodeText(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
getNodeTexts(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
getNodeVector(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations: Get the vector (distributed representation) at a particular node.
getNonBackgroundLabels(CoreLabel) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
getNonNested(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
getNonOverlapping(List<Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, Comparator<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher: Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, ToDoubleFunction<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>) - Static method in class edu.stanford.nlp.util.IntervalTree
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
getNonOverlapping(List<? extends T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
getNonOverlapping(List<? extends T>) - Static method in class edu.stanford.nlp.util.IntervalTree
getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Interval<E>>, ToDoubleFunction<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
getNonOverlappingMaxScore(List<? extends T>, ToDoubleFunction<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
getNormalized(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
getNormalizedCount(E) - Method in class edu.stanford.nlp.stats.IntCounter: This has been de-deprecated in order to reduce compilation warnings, but really you should create a Distribution instead of using this method.
getNormalizedForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
getNormalizedName() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
getNormalizedName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string normalizedName = 9;
getNormalizedName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional string normalizedName = 9;
getNormalizedName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional string normalizedName = 9;
getNormalizedNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: optional string normalizedName = 9;
getNormalizedNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: optional string normalizedName = 9;
getNormalizedNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: optional string normalizedName = 9;
getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string normalizedNER = 5;
getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string normalizedNER = 5;
getNormalizedNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string normalizedNER = 5;
getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's normalized NER tag
getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's normalized NER tag
getNormalizedNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's normalized NER tag
getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder: optional string normalizedNER = 5;
getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention: optional string normalizedNER = 5;
getNormalizedNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder: optional string normalizedNER = 5;
getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: The word's normalized NER tag
getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: The word's normalized NER tag
getNormalizedNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: The word's normalized NER tag
getNotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string notes = 4;
getNotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon: optional string notes = 4;
getNotes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder: optional string notes = 4;
getNotes() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
getNotesBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder: optional string notes = 4;
getNotesBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon: optional string notes = 4;
getNotesBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder: optional string notes = 4;
getNotNullString(String) - Static method in class edu.stanford.nlp.util.StringUtils
getNotNullTrueStringRep() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags: note that this does *not* return string representation of arrays, lists and enums
getNThreads() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
getNum() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getNumber() - Method in class edu.stanford.nlp.maxent.Experiments
getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string number = 3;
getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string number = 3;
getNumber() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string number = 3;
getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.RefCase
getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.ContentsCase
getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string number = 3;
getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string number = 3;
getNumber() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string number = 3;
getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Sentiment
getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder: optional string number = 3;
getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention: optional string number = 3;
getNumberBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder: optional string number = 3;
getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: optional string number = 3;
getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention: optional string number = 3;
getNumberBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder: optional string number = 3;
getNumberOfComponents() - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
getNumberOfKeys() - Method in class edu.stanford.nlp.stats.Distribution
getNumberOfTemporalExprs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
getNumberOfTemporalFuncs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
getNumberOfTemporals() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
getNumClasses() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior: get the number of classes in the sequence model.
getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO: get the number of classes in the sequence model.
getNumEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getNumEdges() - Method in interface edu.stanford.nlp.graph.Graph
getNumEdges() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getNumElements() - Method in class edu.stanford.nlp.neural.SimpleTensor: Total number of elements in the tensor
getNumEpochs() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
getNumericCompositeType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string numericCompositeType = 73;
getNumericCompositeType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string numericCompositeType = 73;
getNumericCompositeType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string numericCompositeType = 73;
getNumericCompositeTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string numericCompositeType = 73;
getNumericCompositeTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string numericCompositeType = 73;
getNumericCompositeTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string numericCompositeType = 73;
getNumericCompositeValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional uint64 numericCompositeValue = 72;
getNumericCompositeValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional uint64 numericCompositeValue = 72;
getNumericCompositeValue() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional uint64 numericCompositeValue = 72;
getNumericType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string numericType = 71;
getNumericType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string numericType = 71;
getNumericType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string numericType = 71;
getNumericTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: optional string numericType = 71;
getNumericTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: optional string numericType = 71;
getNumericTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: optional string numericType = 71;
getNumericValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: number info
getNumericValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token: number info
getNumericValue() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder: number info
getNumFeatures(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getNumLattices() - Method in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
getNumNodes() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
getNumStates() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
getNumTrainingExamples() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
getNumTrees(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
getNumValues() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
getNumVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
getNumVertices() - Method in interface edu.stanford.nlp.graph.Graph
getNumWeights() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier: Returns the total number of weights associated with this classifier.
getObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The surface form of the object
getObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The surface form of the object
getObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The surface form of the object
getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Searches for the object in the queue and returns it.
getObjectBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The surface form of the object
getObjectBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The surface form of the object
getObjectBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The surface form of the object
getObjectId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: inherited from ExtractionObject
getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: inherited from ExtractionObject
getObjectID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: inherited from ExtractionObject
getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: inherited from ExtractionObject
getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: inherited from ExtractionObject
getObjectID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: inherited from ExtractionObject
getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder: inherited from ExtractionObject
getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity: inherited from ExtractionObject
getObjectIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder: inherited from ExtractionObject
getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: inherited from ExtractionObject
getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation: inherited from ExtractionObject
getObjectIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder: inherited from ExtractionObject
getObjective(AbstractStochasticCachingDiffUpdateFunction, double[], double, int[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
getObjectSpan() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.KBPInput
getObjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 objectSpanBegin = 6;
getObjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator: required int32 objectSpanBegin = 6;
getObjectSpanBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder: required int32 objectSpanBegin = 6;
getObjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder: required int32 objectSpanEnd = 7;
getObjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator: required int32 objectSpanEnd = 7;
getObjectSpanEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder: required int32 objectSpanEnd = 7;
getObjectText() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.KBPInput
getObjectTokens(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
getObjectTokens(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The tokens comprising the object of the triple
getObjectTokens(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The tokens comprising the object of the triple
getObjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
getObjectTokensBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
getObjectTokensCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
getObjectTokensCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The tokens comprising the object of the triple
getObjectTokensCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The tokens comprising the object of the triple
getObjectTokensList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
getObjectTokensList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The tokens comprising the object of the triple
getObjectTokensList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The tokens comprising the object of the triple
getObjectTokensOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
getObjectTokensOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The tokens comprising the object of the triple
getObjectTokensOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The tokens comprising the object of the triple
getObjectTokensOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
getObjectTokensOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple: The tokens comprising the object of the triple
getObjectTokensOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder: The tokens comprising the object of the triple
getObl(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
getObl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "obl" grammatical relation.
getObls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
getOneSmallerLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
getOp() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
getOp() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
getOp() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
getOp() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
getOpenClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig