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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];
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;
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
 
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
 
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;
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.util.LuceneFieldType
 
ANALYZED_NO_POSITION - Static variable in class edu.stanford.nlp.util.LuceneFieldType
 
ANALYZED_NOT_STORED - Static variable in class edu.stanford.nlp.util.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(StanfordCoreNLP, Annotation) - Method in class edu.stanford.nlp.naturalli.demo.OpenIEServlet
Annotate a document (which is usually just a sentence).
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
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_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.stan