- 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
-
- AbstractLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
-
- AbstractListProcessor<IN,OUT,L,F> - Class in edu.stanford.nlp.process
-
Class AbstractListProcessor
- AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
-
- AbstractMatchCostFunction() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
-
- AbstractPronounResolver - Class in edu.stanford.nlp.scenegraph
-
- AbstractPronounResolver() - Constructor for class edu.stanford.nlp.scenegraph.AbstractPronounResolver
-
- AbstractPronounResolver.TestExample - Class in edu.stanford.nlp.scenegraph
-
- AbstractSceneGraphParser - Class in edu.stanford.nlp.scenegraph
-
- AbstractSceneGraphParser() - Constructor for class edu.stanford.nlp.scenegraph.AbstractSceneGraphParser
-
- AbstractSequenceClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
This class provides common functionality for (probabilistic) sequence models.
- AbstractSequenceClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Construct a SeqClassifierFlags object based on the passed in properties,
and then call the other constructor.
- AbstractSequenceClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Initialize the featureFactory and other variables based on the passed in
flags.
- AbstractStochasticCachingDiffFunction - Class in edu.stanford.nlp.optimization
-
- AbstractStochasticCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- AbstractStochasticCachingDiffFunction.SamplingMethod - Enum in edu.stanford.nlp.optimization
-
- AbstractStochasticCachingDiffUpdateFunction - Class in edu.stanford.nlp.optimization
-
Function for stochastic calculations that does update in place
(instead of maintaining and returning the derivative).
- AbstractStochasticCachingDiffUpdateFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
- AbstractStringAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
-
- AbstractTextAnnotationCreator - Class in edu.stanford.nlp.pipeline
-
Creates a stub implementation for creating annotation from
various input sources using String as the main input source
- AbstractTextAnnotationCreator() - Constructor for class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
-
- AbstractToken - Interface in edu.stanford.nlp.ling
-
An abstract token.
- AbstractTokenizer<T> - Class in edu.stanford.nlp.process
-
An abstract tokenizer.
- AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
-
- AbstractTreebankLanguagePack - Class in edu.stanford.nlp.trees
-
This provides an implementation of parts of the TreebankLanguagePack
API to reduce the load on fresh implementations.
- AbstractTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Gives a handle to the TreebankLanguagePack.
- AbstractTreebankLanguagePack(char) - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Gives a handle to the TreebankLanguagePack.
- AbstractTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
An abstract class providing a common method base from which to
complete a TreebankLangParserParams
implementing class.
- AbstractTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Stores the passed-in TreebankLanguagePack and sets up charset encodings.
- AbstractTreebankParserParams.AnnotatePunctuationFunction - Class in edu.stanford.nlp.parser.lexparser
-
Annotation function for mapping punctuation to PTB-style equivalence classes.
- AbstractTreebankParserParams.RemoveGFSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
-
The job of this class is to remove subcategorizations from
tag and category nodes, so as to put a tree in a suitable
state for evaluation.
- AbstractTreebankParserParams.SubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
-
The job of this class is to remove subcategorizations from
tag and category nodes, so as to put a tree in a suitable
state for evaluation.
- AbstractTreeExtractor<T> - Class in edu.stanford.nlp.parser.lexparser
-
An abstract superclass for parser classes that extract counts from Trees.
- AbstractTreeExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- AbstractUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
-
- AbstractUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
-
- AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
-
- accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter
-
Checks whether a file satisfies the selection filter.
- ACCEPT - Static variable in interface edu.stanford.nlp.io.Lexer
-
- accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter
-
Checks whether a file satisfies the number range selection filter.
- accept(File) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
-
Checks whether a file satisfies the number range selection filter.
- accept(String) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
-
Checks whether a String satisfies the number range selection filter.
- accept(File) - Method in class edu.stanford.nlp.io.RegExFileFilter
-
Checks whether a file satisfies the selection filter.
- accept(File) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.SplitFilter
-
- accept(File) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset.SplitFilter
-
- acceptableHyphenMergeTags - Static variable in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
-
- acceptableMWTPostSplitTags - Static variable in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
-
- acceptFilter() - Static method in class edu.stanford.nlp.util.Filters
-
The acceptFilter accepts everything.
- accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
-
- accuracy(Iterator<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
-
- accuracy() - Method in class edu.stanford.nlp.classify.PRCurve
-
- Accuracy() - Constructor for class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
-
- AccuracyStats<L> - Class in edu.stanford.nlp.stats
-
Utility class for aggregating counts of true positives, false positives, and
false negatives and computing precision/recall/F1 stats.
- AccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
-
- AccuracyStats(L, String) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
-
- ACE2004_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- ACE2005_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- AceCharSeq - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Implements the ACE <charseq> construct.
- AceCharSeq(String, int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
-
Token that incorporates this whole char sequence, e.g.
- AceDocument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Stores the ACE elements annotated in this document
- AceDocument(String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- AceDomReader - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
DOM reader for an ACE specification.
- AceDomReader() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDomReader
-
- AceElement - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Base class for all ACE annotation elements.
- AceElement(String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
-
- AceEntity - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Implements the ACE <entity> construct.
- AceEntity(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
-
- AceEntityMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Implements the ACE <entity_mention>
construct.
- AceEntityMention(String, String, String, AceCharSeq, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- AceEvent - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Stores one ACE event
- AceEvent(String, String, String, String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- AceEventMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Stores one ACE event mention
- AceEventMention(String, AceCharSeq, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
- AceEventMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
- AceEventMentionArgument(String, AceEntityMention) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMentionArgument
-
- AceMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
- AceMention(String, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
-
- AceMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
- AceMentionArgument(String, AceEntityMention, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
-
- ACEMentionExtractor - Class in edu.stanford.nlp.dcoref
-
Extracts <COREF>
mentions from a file annotated in ACE format (ACE2004, ACE2005).
- ACEMentionExtractor(Dictionaries, Properties, Semantics) - Constructor for class edu.stanford.nlp.dcoref.ACEMentionExtractor
-
- ACEMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) - Constructor for class edu.stanford.nlp.dcoref.ACEMentionExtractor
-
- AceReader - Class in edu.stanford.nlp.ie.machinereading.domains.ace
-
Simple wrapper of Mihai's ACE code to ie.machinereading.structure objects.
- AceReader() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
-
Make an AceReader.
- AceReader(StanfordCoreNLP, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
-
- AceReader(StanfordCoreNLP, boolean, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
-
- AceRelation - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Stores one ACE relation
- AceRelation(String, String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
-
- AceRelationMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
Stores one ACE relation mention
- AceRelationMention(String, AceCharSeq, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
- AceRelationMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
- AceRelationMentionArgument(String, AceEntityMention) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMentionArgument
-
- AceSentenceSegmenter - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
- AceSentenceSegmenter() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceSentenceSegmenter
-
- AceToken - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
- AceToken(String, String, String, String, String, String, String, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
Constructs an AceToken from a tokenized line generated by Tokey
- ACL_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- acos(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Compute acos very quickly by directly looking up the value.
- ACRONYM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- acronymCache - Variable in class edu.stanford.nlp.coref.data.Document
-
- acronymCache - Variable in class edu.stanford.nlp.dcoref.Document
-
- acronymMatch(String, String, HashMap) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
-
- AcronymMatcher - Class in edu.stanford.nlp.util
-
A simple class with a variety of acronym matching utilities.
- Action(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
-
- actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
-
- actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI.TransferActionListener
-
- activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- active - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
-
- adaAlpha - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Initial global learning rate for AdaGrad training
- adaDeltaRho - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- adaEps - Variable in class edu.stanford.nlp.parser.nndep.Config
-
An epsilon value added to the denominator of the AdaGrad
expression for numerical stability
- adaGrad(double, double) - Static method in class edu.stanford.nlp.coref.statistical.SimpleLinearClassifier
-
- adaGradEps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- AdaGradOptimizationState() - Constructor for class edu.stanford.nlp.loglinear.learning.BacktrackingAdaGradOptimizer.AdaGradOptimizationState
-
- adagradResetFrequency - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
-
How many epochs between resets of the adagrad learning rates.
- adapt(String, Dataset<String, String>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- adapt(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- adapt() - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
-
- AdaptedGaussianPriorObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
-
Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weights
- AdaptedGaussianPriorObjectiveFunction(GeneralDataset<L, F>, LogPrior, double[][]) - Constructor for class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
-
- adaptFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
NER adaptation (Gaussian prior) parameters.
- adaptSigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- adaptWeights(Dataset<L, F>, LinearClassifierFactory<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- adaptWeights(double[][], GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Adapt classifier (adjust the mean of Gaussian prior).
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.Dataset
-
- add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.Dataset
-
- add(Collection<F>, L, boolean) - Method in class edu.stanford.nlp.classify.Dataset
-
- add(int[], int) - Method in class edu.stanford.nlp.classify.Dataset
-
Adds a datums defined by feature indices and label index
Careful with this one! Make sure that all indices are valid!
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(Datum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(Collection<F>, L, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- add(RVFDatum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
-
Add a datum, with a given weight.
- add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
- add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
- add(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
adds vertices (if not already in the graph) and the edge between them
- add(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
-
Adds vertices (if not already in the graph) and the edge between them.
- add() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
End the current feature, and add with suffixes.
- add(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Add a feature (+ suffix).
- add(K, NodePattern) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- add(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- add(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- add(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- add(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- add(Experiments) - Method in class edu.stanford.nlp.maxent.Experiments
-
- add(Feature) - Method in class edu.stanford.nlp.maxent.Features
-
- add(Feature) - Method in class edu.stanford.nlp.maxent.Problem
-
- add(E) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- add(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Adds an Object to the underlying Collection of input sources.
- add(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
-
- add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
-
- add(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.LuceneSentenceIndex
-
- add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.LuceneSentenceIndex
-
- add(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.SentenceIndex
-
addProcessedText is true when inserting sentences for the first time
- add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.SentenceIndex
-
- add(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both.
- add(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- add(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
increments every key in the counter by value
- add(double) - Method in class edu.stanford.nlp.stats.DataSeries.ListDataSeries
-
- add(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
-
Adds a FeatureKey to the set of known FeatureKeys.
- add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- add(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RefTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.SimpleTime
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- add(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- add(Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- add(E) - Method in class edu.stanford.nlp.util.ArrayHeap
-
Adds an object to the heap.
- add(E) - Method in class edu.stanford.nlp.util.ArraySet
-
Adds element to set.
- add(T) - Method in class edu.stanford.nlp.util.Beam
-
- add(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Adds an object to the queue with the minimum priority
(Double.NEGATIVE_INFINITY).
- add(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Convenience method for if you want to pretend relaxPriority doesn't exist,
or if you really want to use the return conditions of add().
- add(E) - Method in class edu.stanford.nlp.util.BoundedPriorityQueue
-
- add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Adds the value to the Collection mapped to by the key.
- add(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
- add(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Increments the entry for this guess and gold by 1.
- add(U, U, int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Increments the entry for this guess and gold by the given increment amount.
- add(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- add(E) - Method in class edu.stanford.nlp.util.DeltaIndex
-
- add(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Adds a key to the queue with the given priority.
- add(E) - Method in class edu.stanford.nlp.util.HashIndex
-
Adds an object to the Index.
- add(E) - Method in interface edu.stanford.nlp.util.Heap
-
Adds the object to the heap.
- add(E) - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Adds the specified element to this set if it is not already present.
- add(E) - Method in interface edu.stanford.nlp.util.Index
-
- add(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- add(IntervalTree.TreeNode<E, T>, T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- add(IntervalTree.TreeNode<E, T>, T, double) - Method in class edu.stanford.nlp.util.IntervalTree
-
- add(int) - Method in class edu.stanford.nlp.util.IntUni
-
- add(K, V) - Method in class edu.stanford.nlp.util.LeastRecentlyUsedCache
-
- add(U, V) - Method in class edu.stanford.nlp.util.MapList
-
- add(U, Collection<V>) - Method in class edu.stanford.nlp.util.MapList
-
Using the iterator order of values in the value, adds the
individual elements into the list under the given key.
- add(E) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
Adds the element if the set is not already full.
- add(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Convenience method for if you want to pretend relaxPriority doesn't exist,
or if you really want to use the return conditions of add().
- add(K1, K2, K3, V) - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap
-
Adds the value to the Collection mapped to by the key.
- add(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Adds the value to the Collection mapped to by the key.
- add(K1, K2, Collection<V>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
Adds a collection of values to the Collection mapped to by the key.
- add(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
-
- ADD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- addActivePair(Pair<ExactAutomatonMinimizer.ExactBlock<TransducerGraph.Arc>, TransducerGraph.Arc>) - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Adds all Datums in the given collection of data to this dataset
- addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- addAll(Collection<? extends String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- addAll(List<Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Unsupported Operation.
- addAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
Adds all Objects in Collection c to the underlying Collection of
input sources.
- addAll(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Not yet implemented.
- addAll(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Not yet implemented.
- addAll(Collection<? extends List<IN>>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(Counter<E>) - Method in interface edu.stanford.nlp.stats.Counter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Adds the counts in the given Counter to the counts in this Counter.
- addAll(TwoDimensionalCounterInterface<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- addAll(TwoDimensionalIntCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- addAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- addAll(int, Collection<? extends Tree>) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
- addAll(Collection<T>, Iterable<? extends T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Add all the items from an iterable to a collection.
- addAll(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Adds the values to the Collection mapped to by the key.
- addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Adds all of the mappings in m to this CollectionValuedMap.
- addAll(CollectionValuedMap<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- addAll(Counter<E>) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
- addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
Adds all of the mappings in m to this CollectionValuedMap.
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.DeltaIndex
-
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.HashIndex
-
Adds every member of Collection to the Index.
- addAll(Collection<? extends E>) - Method in interface edu.stanford.nlp.util.Index
-
- addAll(Iterator<? extends T>, Collection<T>) - Static method in class edu.stanford.nlp.util.Iterables
-
Adds all of the Objects returned by the given Iterator into the given Collection.
- addAll(Map<K, V1>, Map<K, V2>, Function<V2, V1>) - Static method in class edu.stanford.nlp.util.Maps
-
Adds all of the keys in from
to to
,
applying function
to the values to transform them
from V2
to V1
.
- addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
Add all the items.
- addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
Adds all of the entries in the other
map, performing
function
on them to transform the values
- addAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
-
- addAllAppositions(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 appositions = 54;
- addAllArg(Iterable<? extends CoreNLPProtos.Entity>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addAllArgName(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- addAllBelongToLists(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 belongToLists = 58;
- addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addAllChild(Iterable<? extends CoreNLPProtos.ParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addAllComponent(Iterable<? extends ConcatVectorProto.ConcatVector.Component>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addAllConversions(Iterable<? extends CoreNLPProtos.DependencyConverterResponse.DependencyConversion>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addAllCorefChain(Iterable<? extends CoreNLPProtos.CorefChain>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addAllCorefMentionIndex(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mention index info
- addAllCorefMentionToEntityMentionMappings(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- addAllData(Iterable<? extends Double>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
repeated double data = 2;
- addAllDependents(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- addAllDimensionSize(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated int32 dimensionSize = 1;
- addAllEdge(Iterable<? extends CoreNLPProtos.DependencyGraph.Edge>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addAllEdge(Iterable<? extends CoreNLPProtos.SemgrexResponse.NamedEdge>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addAllEntailedClause(Iterable<? extends CoreNLPProtos.SentenceFragment>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addAllEntailedSentence(Iterable<? extends CoreNLPProtos.SentenceFragment>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addAllEntity(Iterable<? extends CoreNLPProtos.Entity>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addAllEntityMentionToCorefMentionMappings(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- addAllFactor(Iterable<? extends GraphicalModelProto.Factor>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addAllFactorTable(Iterable<? extends ConcatVectorProto.ConcatVector>) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addAllGraph(Iterable<? extends CoreNLPProtos.DependencyGraph>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addAllGroup(Iterable<? extends CoreNLPProtos.TokensRegexResponse.MatchLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addAllInterningAndSuffixing(Collection<String>, Collection<String>, String) - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
Makes more complete feature names out of partial feature names, by
adding a suffix to the String feature name, adding results to an
accumulator
- addAllKBestParseTrees(Iterable<? extends CoreNLPProtos.ParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addAllKbpTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addAllKey(Iterable<String>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- addAllKey(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated uint32 key = 1;
- addAllKey(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- addAllKeys(TwoDimensionalMap<? extends K1, ? extends K2, ?>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
-
Adds all the keys in the given TwoDimensionalMap.
- addAllListMembers(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 listMembers = 57;
- addAllMacros(TregexPatternCompiler, String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- addAllMacros(TregexPatternCompiler, BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
-
- addAllMatch(Iterable<? extends CoreNLPProtos.SemgrexResponse.Match>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addAllMatch(Iterable<? extends CoreNLPProtos.TokensRegexResponse.PatternMatch>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addAllMatch(Iterable<? extends CoreNLPProtos.TokensRegexResponse.Match>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addAllMention(Iterable<? extends CoreNLPProtos.CorefChain.CorefMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addAllMentions(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
repeated int32 mentions = 2;
- addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addAllNeighbor(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
repeated int32 neighbor = 2;
- addAllNerLabelProbs(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- addAllNode(Iterable<? extends CoreNLPProtos.DependencyGraph.Node>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addAllNode(Iterable<? extends CoreNLPProtos.SemgrexResponse.NamedNode>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addAllNodes(Iterable<? extends CoreNLPProtos.FlattenedParseTree.Node>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addAllObjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addAllOpenieTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addAllOperation(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
repeated string operation = 2;
- addAllOperations(Iterable<? extends CoreNLPProtos.TsurgeonRequest.Operation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addAllOriginalSpan(Iterable<? extends CoreNLPProtos.IndexedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addAllPattern(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
repeated string pattern = 2;
- addAllPredicateNominatives(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 predicateNominatives = 55;
- addAllPredicted(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addAllPreprocessedTerms(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string preprocessedTerms = 53;
- addAllQuery(Iterable<? extends CoreNLPProtos.SemgrexRequest.Dependencies>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addAllQuote(Iterable<? extends CoreNLPProtos.Quote>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addAllQuotes(Iterable<? extends CoreNLPProtos.Quote>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addAllRelation(Iterable<? extends CoreNLPProtos.Relation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addAllRelationTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addAllRelativePronouns(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 relativePronouns = 56;
- addAllReln(Iterable<? extends CoreNLPProtos.SemgrexResponse.NamedRelation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addAllResult(Iterable<? extends CoreNLPProtos.SemgrexResponse.GraphResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addAllResult(Iterable<? extends CoreNLPProtos.SemgrexResponse.SemgrexResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addAllResult(Iterable<? extends CoreNLPProtos.SsurgeonResponse.SsurgeonResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addAllRoot(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated uint32 root = 3 [packed = true];
- addAllRootNode(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
The values in this field will index directly into the node list
This is useful so that additional information such as emptyIndex
can be considered without having to pass it around a second time
- addAllSections(Iterable<? extends CoreNLPProtos.Section>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addAllSemgrex(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated string semgrex = 1;
- addAllSentence(Iterable<? extends CoreNLPProtos.Sentence>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addAllSentenceIndexes(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated uint32 sentenceIndexes = 4;
- addAllSentencelessToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addAllSentenceWords(Iterable<? extends CoreNLPProtos.IndexedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addAllSsurgeon(Iterable<? extends CoreNLPProtos.SsurgeonRequest.Ssurgeon>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addAllSubjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addAllTokenIndex(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
repeated uint32 tokenIndex = 1;
- addAllTreebank(Iterable<? extends CoreNLPProtos.EvaluateParserRequest.ParseResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addAllTreeF1(Iterable<? extends Double>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
keep track of the individual tree F1 scores
- addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addAllTsurgeon(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
repeated string tsurgeon = 2;
- addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string value = 2;
- addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated string value = 2;
- addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string value = 2;
- addAllVariableMetaData(Iterable<? extends GraphicalModelProto.MetaData>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addAllWithSourcesAndIds(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- addAllWords(Iterable<? extends CoreNLPProtos.MorphologyRequest.TaggedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addAllWords(Iterable<? extends CoreNLPProtos.MorphologyResponse.WordTagLemma>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addAllXmlContext(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- addAndGet(double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Atomically adds the given value to the current value.
- addAnnotator(Annotator) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
- addApposition(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find apposition
- addApposition(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find apposition
- addAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 appositions = 54;
- addArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- addArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- addArc(int, int, String) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- addArg(AceEntityMention, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
- addArg(ExtractionObject, String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- addArg(ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
- addArg(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArg(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArg(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArg(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArgBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArgBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArgName(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- addArgNameBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- addArgs(List<ExtractionObject>, List<String>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- addAttribute(SceneGraphImageAttribute) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
-
- addAttribute(IndexedWord) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
-
- addAttribute(SceneGraphAttribute) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
-
- addBelongsToList(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
- addBelongsToList(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
- addBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 belongToLists = 58;
- addBiasToEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- addBinaryClassifier(L, Classifier<String, F>) - Method in class edu.stanford.nlp.classify.OneVsAllClassifier
-
- addBinaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addBinaryFeatures(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addBoundary() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- addCapitalFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- addCaseMarkerForConjunctions(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
Post-process graph and copy over case markers in case the PP-complement
is conjoined.
- addCaseMarkerInformation(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
- addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addChild(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Adds the tree t at the index position among the daughters.
- addChild(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Adds the tree t at the last index position among the daughters.
- addChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Adds a child in the ith location.
- addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- addChildBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChildBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChildTree(Redwood.RecordHandlerTree) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- addComment(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Store a comment line with this semantic graph.
- addComponent(ConcatVectorProto.ConcatVector.Component) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponent(int, ConcatVectorProto.ConcatVector.Component) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponent(ConcatVectorProto.ConcatVector.Component.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponent(int, ConcatVectorProto.ConcatVector.Component.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponentBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponentBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addConjInformation(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
Adds the type of conjunction to all conjunct relations.
- addConstraint(ParserConstraint) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- addContains(String, String, String, Boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- addConversions(CoreNLPProtos.DependencyConverterResponse.DependencyConversion) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversions(int, CoreNLPProtos.DependencyConverterResponse.DependencyConversion) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversions(CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversions(int, CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addCopyNodes - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- addCorefChain(CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChain(int, CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChain(CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChain(int, CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChainBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChainBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mention index info
- addCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- addCounts(PrecisionRecallStats) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the counts from the given stats to the counts of this stats.
- addData(double) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
repeated double data = 2;
- addDenseConstraint(int, double[]) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer
-
This adds a constraint on the weight vector, that a certain component must be set to a dense array
- AddDep - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
Adds a new dependent node, based off of a prototype IndexedWord, with the given relation.
- AddDep(String, GrammaticalRelation, Map<String, String>, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
-
- AddDep(String, GrammaticalRelation, Map<String, String>, String, double) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
-
- addDependencyPathFeatures(Counter<String>, RelationMention, EntityMention, EntityMention, List<String>, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- addDependents(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- addDependentsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- addDeterminer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- addDimensionSize(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated int32 dimensionSize = 1;
- addDistsimFeatures(List<String>, CoreLabel, String) - Method in class edu.stanford.nlp.parser.shiftreduce.DistsimFeatureFactory
-
- addedFactor - Variable in class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState
-
- addEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
-
- addEdge(LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- addEdge(CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(int, CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(int, CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(CoreNLPProtos.SemgrexResponse.NamedEdge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(int, CoreNLPProtos.SemgrexResponse.NamedEdge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(CoreNLPProtos.SemgrexResponse.NamedEdge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(int, CoreNLPProtos.SemgrexResponse.NamedEdge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(SceneGraphNode, SceneGraphNode, String) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
-
- addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- AddEdge - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
This adds a given GrammaticalRelation between
two named nodes in the graph.
- AddEdge(String, String, GrammaticalRelation) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
- AddEdge(String, String, GrammaticalRelation, double) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
- addEdgeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdgeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdgeFeatures(List<String>, State, String, String, Tree, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
Could potentially add the tags and words for the left and right
ends of the tree.
- addEdgeFeatures2(List<String>, State, String, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
This option also does not seem to help
- addEdit(SsurgeonEdit) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- addEnhancedSentences(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
-
- addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively applies different enhancements to the dependency graph.
- addEnhancements(SemanticGraph, Embedding) - Static method in class edu.stanford.nlp.trees.ud.UniversalGappingEnhancer
-
- addEnhancements(SemanticGraph, EnhancementOptions) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Manipulates the given SemanticGraph to add enhancements.
- addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- addEntailedClause(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClause(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClause(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClause(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClauseBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClauseBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedSentence(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentence(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentence(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentence(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntity(AceEntity) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEntity(String, EntityMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Entity
-
- addEntity(String, EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Event
-
- addEntity(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntity(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntity(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntity(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntityBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntityBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntityMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEntityMention(CoreMap, EntityMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addEntityMention(EntityMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addEntityMentions(CoreMap, Collection<EntityMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addEntityMentions(Collection<EntityMention>) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- addEvent(AceEvent) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- addEventMention(CoreMap, EventMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addEventMention(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addEventMentions(CoreMap, Collection<EventMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addExample(List<Integer>, List<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Dataset
-
- addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Document, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Sentence, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Token, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- addExtraNSubj(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
- addExtraTrigramFeatures(List<String>, CoreLabel, CoreLabel, CoreLabel, CoreLabel, CoreLabel) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
Also did not seem to help
- addFactor(int[], int[], Function<int[], ConcatVector>) - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel
-
This is the preferred way to add factors to a graphical model.
- addFactor(ConcatVectorTable, int[]) - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel
-
Creates an instantiated factor in this graph, with neighborIndices representing the neighbor variables by integer
index.
- addFactor(GraphicalModelProto.Factor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactor(int, GraphicalModelProto.Factor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactor(GraphicalModelProto.Factor.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactor(int, GraphicalModelProto.Factor.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactorBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactorBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactorTable(ConcatVectorProto.ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTable(int, ConcatVectorProto.ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTable(ConcatVectorProto.ConcatVector.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTable(int, ConcatVectorProto.ConcatVector.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTableBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTableBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- addFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Enable an annotation feature.
- addFeature(String, double) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- addFeatureIndices(int[]) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Collection<F>) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Collection<F>, boolean) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Counter<String>, RelationMention, List<String>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- addFeatures(Counter<String>, RelationMention, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
Creates all features for the datum corresponding to this relation mention
Note: this assumes binary relations where both arguments are EntityMention
- addFeatures(Collection<String>) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- addFeatures(ArrayList<Pair<String, String>>, int) - Method in class edu.stanford.nlp.process.stattok.StatTokSentTrainer
-
This method adds features for building the training input for the classifier.
- addFeatures(SemanticGraph, Tree, boolean, boolean) - Method in class edu.stanford.nlp.trees.ud.UniversalDependenciesFeatureAnnotator
-
- addFileFolder(EnumMap<TregexGUI.FilterType, String>, File[]) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
Forks off a new thread to load your files based on the filters you set in the interface
- addFiles(List<String>) - Method in class edu.stanford.nlp.trees.treebank.DistributionPackage
-
Adds a listing of files to the distribution archive
- addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
-
- addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
-
- addFN(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the given number to the count of false negatives.
- addForce(Partial, Period, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- addForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- addFP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the given number to the count of false positives.
- addGoldMentions(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, List<List<Mention>>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- addGraph(CoreNLPProtos.DependencyGraph) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraph(int, CoreNLPProtos.DependencyGraph) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraph(CoreNLPProtos.DependencyGraph.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraph(int, CoreNLPProtos.DependencyGraph.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraphBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGroup(CoreNLPProtos.TokensRegexResponse.MatchLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroup(int, CoreNLPProtos.TokensRegexResponse.MatchLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroup(CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroup(int, CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroupBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroupBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGuess(String, String, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- addGuess(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- addGuess(L, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addGuess(L, L, boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addGuesses(List<L>, List<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addHighlight(JTextField, MouseEvent, MouseEvent) - Static method in class edu.stanford.nlp.trees.tregex.gui.HighlightUtils
-
Highlight the given label from the first mouse event to the second
Returns true if the highlight was successful, false otherwise.
- addHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
-
- addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.coref.data.Document
-
- addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.Document
-
- addIndvWordsFromPhrasesExceptLastAsNeg - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
For example, if positive seed dict contains "cancer" and "breast cancer" then "breast" is included as negative
- addingSingletonEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Increases the values in the first array a by b.
- addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Increases the values in this array by b.
- addInPlace(double[][], double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add the two 2d arrays and write the answer in place of m1
.
- addInPlace(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+scale*arg[k] for all keys k in
target.
- addInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+arg[k] for all keys k in arg.
- addInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of double[] target to be
target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
- addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale *
arg[u,v].
- addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v].
- addInPlace(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+
value*(num-of-times-it-occurs-in-collection) if the key is present in the arg
collection.
- addInPlace(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
- addInPlace(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+
num-of-times-it-occurs-in-collection if the key is present in the arg
collection.
- addInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Increments all keys in a Counter by a specific value.
- addInstances(Collection<RVFDatum<K, V>>) - Method in class edu.stanford.nlp.classify.KNNClassifier
-
- addIntervalRelationFlags(int, boolean) - Static method in class edu.stanford.nlp.util.Interval
-
- addKBestParseTrees(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTrees(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTrees(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTrees(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKbpTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKey(String) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- addKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated uint32 key = 1;
- addKey(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Just add the key (empty collection, but key is in the keySet).
- addKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
yes, this is a weird method, but i need it.
- addKeyBytes(ByteString) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- addKeyBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- addLabel(L) - Method in class edu.stanford.nlp.classify.Dataset
-
- addLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
-
Adds the given Label to the List of labels for this Datum if it is not
null.
- addLabel(L) - Method in class edu.stanford.nlp.ling.BasicDocument
-
Adds the given label to the List of labels for this Document if it is not null.
- addLabelIndex(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- addListener(FileTreeNode.FileTreeNodeListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
-
- addListener(MatchesPanel.MatchesPanelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
Become a listener to changes in the trees the matches panel is showing
- addListener(ListSelectionListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
Become a listener to changes in which tree is selected
- addListMember(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
- addListMember(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
- addListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 listMembers = 57;
- addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
Define a macro for rewriting a pattern in any tregex expression compiled
by this compiler.
- addMap(Map<String, Set<String>>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Add all of the mappings from the specified map to the current map.
- addMatch(CoreNLPProtos.SemgrexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.SemgrexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(CoreNLPProtos.SemgrexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.SemgrexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.PatternMatch) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.PatternMatch) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMention(Mention) - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
-
- addMention(Mention) - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
-
- addMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
-
- addMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- addMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
-
- addMention(CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMention(int, CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMention(CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMention(int, CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMentionBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMentionBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
repeated int32 mentions = 2;
- addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMissingAnnotations(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- addMissingFinalPunctuation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If a token list does not have sentence final punctuation near the
end, then automatically add the default one.
- addMod(String) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- addMod() - Method in class edu.stanford.nlp.time.TimeExpression
-
- addModApprox(String, boolean) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- AddMorphoAnnotations - Class in edu.stanford.nlp.international.morph
-
Reads in the tree files without any kind of pre-processing.
- AddMorphoAnnotations() - Constructor for class edu.stanford.nlp.international.morph.AddMorphoAnnotations
-
- addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add c times the array b to array a.
- addMultInto(double[], double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- addNamedEntityStrings(CoreMap, Set<String>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- addNamedNode(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit
-
- addNamedNode(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
Adds the node to the set of named nodes registered, using the given name.
- addNeighbor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
repeated int32 neighbor = 2;
- addNerLabelProbs(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- addNerLabelProbsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- addNode(CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(int, CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(int, CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(CoreNLPProtos.SemgrexResponse.NamedNode) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(int, CoreNLPProtos.SemgrexResponse.NamedNode) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(CoreNLPProtos.SemgrexResponse.NamedNode.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(int, CoreNLPProtos.SemgrexResponse.NamedNode.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(IndexedWord) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
-
- addNode(SceneGraphNode) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
-
- AddNode - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
- AddNode(String, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
- addNodeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNodeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNodes(CoreNLPProtos.FlattenedParseTree.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodes(int, CoreNLPProtos.FlattenedParseTree.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodes(CoreNLPProtos.FlattenedParseTree.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodes(int, CoreNLPProtos.FlattenedParseTree.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNonNested(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- addNonOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- addNormalizedQuantitiesToEntities(List<E>, CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addNormalizedQuantitiesToEntities(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addNormalizedQuantitiesToEntities(List<E>, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- addNormalizedQuantitiesToEntities(List<E>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addObjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addOneBinaryRule(BinaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- addOnePathToGraph(List, double, int, TransducerGraph) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
-
- addOneUnaryRule(UnaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- addOpenieTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOperation(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
repeated string operation = 2;
- addOperationBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
repeated string operation = 2;
- addOperations(CoreNLPProtos.TsurgeonRequest.Operation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperations(int, CoreNLPProtos.TsurgeonRequest.Operation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperations(CoreNLPProtos.TsurgeonRequest.Operation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperations(int, CoreNLPProtos.TsurgeonRequest.Operation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperationsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperationsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOriginalSpan(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpan(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpan(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpan(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpanBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpanBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addORRestriction(Class, String) - Method in class edu.stanford.nlp.patterns.surface.Token
-
- addParent(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- addPattern(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
repeated string pattern = 2;
- addPatternBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
repeated string pattern = 2;
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
-
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
-
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
-
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
-
- addPatWithoutPOS - Static variable in class edu.stanford.nlp.patterns.surface.SurfacePatternFactory
-
Add patterns without POS restriction as well: One of this and
usePOS4Pattern
has to be true.
- addPhrasalBranch(String, int) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
-
- addPhrase(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(String, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrases(Collection<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrases(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPositionFeatures(List<String>, State) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find predicate nominatives
- addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find predicate nominatives
- addPredicateNominatives(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 predicateNominatives = 55;
- addPredicted(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredicted(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredicted(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredicted(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredictedBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredictedBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPreprocessedTerms(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string preprocessedTerms = 53;
- addPreprocessedTermsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string preprocessedTerms = 53;
- addPrev(int, History) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], double[][][][], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Adds the List of Lists of CRFDatums to the data and labels arrays, treating
each datum as if it were its own document.
- addQuery(CoreNLPProtos.SemgrexRequest.Dependencies) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuery(int, CoreNLPProtos.SemgrexRequest.Dependencies) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuery(CoreNLPProtos.SemgrexRequest.Dependencies.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuery(int, CoreNLPProtos.SemgrexRequest.Dependencies.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQueryBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQueryBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuote(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuote(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuote(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuote(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuoteBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuoteBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuotes(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotes(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotes(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotes(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addRandomBinaryMatrix(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
-
- addRandomColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
- addRandomUnaryMatrix(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
-
- addRef(SemanticGraph, Pattern) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
- addReferent - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- addRelation(AceRelation) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addRelation(String, RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Relation
-
- addRelation(CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelation(int, CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelation(CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelation(int, CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelationBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelationBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- addRelationMention(CoreMap, RelationMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addRelationMention(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addRelationMentions(CoreMap, Collection<RelationMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addRelationship(SceneGraphImageRelationship) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
-
- addRelationTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelativePronoun(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find relative pronouns
- addRelativePronoun(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find relative pronouns
- addRelativePronouns(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 relativePronouns = 56;
- addReln(CoreNLPProtos.SemgrexResponse.NamedRelation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addReln(int, CoreNLPProtos.SemgrexResponse.NamedRelation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addReln(CoreNLPProtos.SemgrexResponse.NamedRelation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addReln(int, CoreNLPProtos.SemgrexResponse.NamedRelation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addRelnBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addRelnBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- addResult(CoreNLPProtos.SemgrexResponse.GraphResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.GraphResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(CoreNLPProtos.SemgrexResponse.GraphResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.GraphResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(CoreNLPProtos.SemgrexResponse.SemgrexResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.SemgrexResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(CoreNLPProtos.SsurgeonResponse.SsurgeonResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResult(int, CoreNLPProtos.SsurgeonResponse.SsurgeonResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResult(CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResult(int, CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResults(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
-
- addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
- addRoot(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated uint32 root = 3 [packed = true];
- addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addRoot - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- addRootNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
The values in this field will index directly into the node list
This is useful so that additional information such as emptyIndex
can be considered without having to pass it around a second time
- addRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Add this dependency with the given count to the grammar.
- addRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- addRules(SequenceMatchRules.ExtractRule<I, O>...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- addScaled(Weight, float) - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
-
- addSections(CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSections(int, CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSections(CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSections(int, CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSectionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSectionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSeedWords(String, Collection<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- addSemgrex(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated string semgrex = 1;
- addSemgrexBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated string semgrex = 1;
- addSentence(List<String[]>) - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
-
- addSentence(List<String[]>) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
-
- addSentence(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addSentence(ExtractionSentence) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
-
- addSentence(CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentence(int, CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentence(CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentence(int, CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentenceData(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
Add sentence data for this sentence
- addSentenceIndexes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated uint32 sentenceIndexes = 4;
- addSentencelessToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentences(CoreMap, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addSentences(List<ExtractionSentence>) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
-
- addSentenceWords(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWords(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWords(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWords(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSeparatorFeature(List<String>, String, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeatures(List<String>, String, CoreLabel, String, CoreLabel, String, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeatures(List<String>, CoreLabel, CoreLabel, State.HeadPosition, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSparseConstraint(int, int, double) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer
-
This adds a constraint on the weight vector, that a certain component must be set to a sparse index=value
- addSplit(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- addSplits(FastExactAutomatonMinimizer.Block) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- addSRLArcs - Static variable in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addSsurgeon(CoreNLPProtos.SsurgeonRequest.Ssurgeon) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeon(int, CoreNLPProtos.SsurgeonRequest.Ssurgeon) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeon(CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeon(int, CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeonBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeonBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addStatsForTree(int, int, int) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
-
- addSubjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- addTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- addTag(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Will return the index of a tag, adding it if it doesn't already exist
- AddTaggerToParser - Class in edu.stanford.nlp.parser.lexparser
-
A simple tool to add a tagger to the parser for reranking purposes.
- AddTaggerToParser() - Constructor for class edu.stanford.nlp.parser.lexparser.AddTaggerToParser
-
- addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Adds the tagging with count to the data structures in this Lexicon.
- addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
-
Adds the tagging with count to the data structures in this Lexicon.
- addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Adds the tagging with count to the data structures in this Lexicon.
- addTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndex(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
- addToIndex(E) - Method in class edu.stanford.nlp.util.DeltaIndex
-
- addToIndex(E) - Method in class edu.stanford.nlp.util.HashIndex
-
- addToIndex(E) - Method in interface edu.stanford.nlp.util.Index
-
Takes an Object and returns the integer index of the Object.
- addToIndexTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexUnsafe(E) - Method in class edu.stanford.nlp.util.HashIndex
-
Add the given item to the index, but without taking any locks.
- addToken(AceToken) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
repeated uint32 tokenIndex = 1;
- addToKeySet(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Insures that object is in keyset (with possibly zero value)
- addTP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the given number to the count of true positives.
- addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- addTransition(DFSATransition<T, S>) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- addTreebank(CoreNLPProtos.EvaluateParserRequest.ParseResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebank(int, CoreNLPProtos.EvaluateParserRequest.ParseResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebank(CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebank(int, CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebankBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebankBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreeF1(double) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
keep track of the individual tree F1 scores
- addTreeModelListener(TreeModelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- addTreeNormalizer(TreeNormalizer) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
-
Adds the given tree normalizer to this combination; the tree normalizers
are applied in the order they were added, with the first to be added being
the first to be applied.
- addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrigramFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addTsurgeon(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
repeated string tsurgeon = 2;
- addTsurgeonBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
repeated string tsurgeon = 2;
- addUnaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addUnaryQueueFeatures(List<String>, CoreLabel, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addUnaryStackFeatures(List<String>, CoreLabel, String, String, String, String, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- addValue(String) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string value = 2;
- addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated string value = 2;
- addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string value = 2;
- addValueBytes(ByteString) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string value = 2;
- addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated string value = 2;
- addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string value = 2;
- addVariableMetaData(GraphicalModelProto.MetaData) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaData(int, GraphicalModelProto.MetaData) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaData(GraphicalModelProto.MetaData.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaData(int, GraphicalModelProto.MetaData.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaDataBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaDataBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVectorInPlace(ConcatVector, double) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
-
This will add the vector "other" to this vector, scaling other by multiple.
- addVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
For adding a zero degree vertex
- addVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
-
For adding a zero degree vertex
- addVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- addWords(CoreNLPProtos.MorphologyRequest.TaggedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(int, CoreNLPProtos.MorphologyRequest.TaggedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(CoreNLPProtos.MorphologyRequest.TaggedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(int, CoreNLPProtos.MorphologyRequest.TaggedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(CoreNLPProtos.MorphologyResponse.WordTagLemma) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWords(int, CoreNLPProtos.MorphologyResponse.WordTagLemma) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWords(CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWords(int, CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWordShapes(String, Set<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- addXmlContext(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- addXmlContextBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- addXSubj - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- ADJ_MOD_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- ADJ_PRED_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- ADJECTIVAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adjectival complement" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adjectival modifier" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "adjetive modifier" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "adjective modifier" (amod) grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adjectival modifier" grammatical relation.
- AdjoinToFootNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Adjoin in a tree (like in TAG), but retain the target of adjunction as the foot of the auxiliary tree.
- AdjoinToFootNode(AuxiliaryTree, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
-
- adjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- adjustBias(List<List<IN>>, DoubleUnaryOperator, double, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
Adjust the bias parameter to optimize some objective function.
- adjustFinalToken(List<CoreLabel>) - Static method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
-
- adjustPhrasePositions(int, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
Recomputes start/end phrase positions by removing SGML tag strings This is
required because ACE annotations skip over SGML tags when computing
positions in stream, hence annotations do not match with our preprocessing
positions, which count everything
- ADMath - Class in edu.stanford.nlp.math
-
The class ADMath
was created to extend the
current calculations of gradient to automatically include a calculation of the
hessian vector product with another vector v
.
- ADV_CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adverbial clause modifier" grammatical relation.
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adverbial clause modifier" grammatical relation.
- advanceLeft(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
-
- advanceRight(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
-
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "adverbial modifier" (advmod) grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- adverbSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- advSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- AffixDictionary - Class in edu.stanford.nlp.wordseg
-
Affixation information.
- AffixDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.AffixDictionary
-
- after(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
Verifies if this mention appears after the parameter in textual order
- after() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the whitespace String after the word.
- after() - Method in interface edu.stanford.nlp.ling.HasContext
-
Return the whitespace String after the word.
- after() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- after() - Method in class edu.stanford.nlp.simple.Sentence
-
The whitespace after each token in the sentence.
- after(int) - Method in class edu.stanford.nlp.simple.Sentence
-
The whitespace after this token in the sentence.
- after() - Method in class edu.stanford.nlp.simple.Token
-
- AFTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
-
- afterIsEmpty - Variable in class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor
-
Check that after() is not null and the empty string
- afterIsEmpty - Static variable in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
-
Check that after() is not null and the empty string
- AFTERNOON - Static variable in class edu.stanford.nlp.time.SUTime
-
- agenda - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "agent" grammatical relation.
- AGENT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- AGENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "agent" grammatical relation.
- AGENT_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatTextAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
-
- AGGREGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- aggregateToTokens - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Whether we should merge and output CoreLabels or not.
- algorithm(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- algorithms() - Method in class edu.stanford.nlp.simple.Sentence
-
Return a class that can perform common algorithms on this sentence.
- aliases - Variable in class edu.stanford.nlp.quoteattribution.Person
-
- AliasMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
-
- AliasMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.AliasMatch
-
- AliasMatch - Class in edu.stanford.nlp.dcoref.sievepasses
-
- AliasMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.AliasMatch
-
- align(List<CoreMap>, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter
-
If the same set of sentences is contained in two lists, order the lists so that their sentences are in the same order (and return true).
- alignDDAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignLeft(JComponent) - Static method in class edu.stanford.nlp.trees.tregex.gui.PreferencesPanel
-
- Alignment - Class in edu.stanford.nlp.ie.pascal
-
Container class for aligning acronyms.
- Alignment(char[], char[], int[]) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
-
- Alignment(BufferedReader) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
-
- Alignment - Class in edu.stanford.nlp.semgraph.semgrex
-
Represents an alignment between a text and a hypothesis as a map from
hypothesis words to text words, along with a real-valued score and
(optionally) a justification string.
- Alignment(Map<IndexedWord, IndexedWord>, double, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- alignmentDecodeThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignmentPruneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignSentence(CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
Copies one sentence replicating only information necessary for SUTime
- allBrackets(Tree) - Method in class edu.stanford.nlp.trees.TreeToBracketProcessor
-
- allCandidatePhrases - Variable in class edu.stanford.nlp.patterns.ScorePatterns
-
- allEdgesInSet(Iterable<IndexedWord>, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given a set of vertices from the same graph, returns the set of all edges between these
vertices.
- allGoldMentions - Variable in class edu.stanford.nlp.dcoref.Document
-
- allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- allLabels(int, Index<String>) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- ALLOW_EMBEDDED_SAME - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- ALLOW_REPARSING - Static variable in class edu.stanford.nlp.dcoref.Constants
-
Whether or not the RuleBasedCorefMentionFinder can reparse a phrase to find its head
- ALLOW_REPARSING_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- allowedNERsforLabels - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- allowedTagsInitials - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- allowReparsing - Variable in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- allPatternsDir - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
Cached file of all patterns for all tokens
- allPositions - Variable in class edu.stanford.nlp.coref.data.Document
-
- allPositions - Variable in class edu.stanford.nlp.dcoref.Document
-
- allPredictedMentions - Variable in class edu.stanford.nlp.dcoref.Document
-
For all mentions in a document, map mentionID to mention.
- allPronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- allPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- AllRelationMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.AllRelationMentionsAnnotation
-
- allSpans(Function<Sentence, List<E>>, int) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
Return all the spans of a sentence.
- allSpans(Function<Sentence, List<E>>) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
- allSpans() - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
- allTokens() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Returns all the tokens in the extraction, in the order subject then relation then object.
- allTypedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- allTypedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns all the typed dependencies of this grammatical structure.
- allValues() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- alpha - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- alpha - Variable in class edu.stanford.nlp.stats.Gamma
-
- alphaFile - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- alsoHide(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all the channels currently being printed, with the exception
of this new one
- alsoShow(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all the channels currently being printed, in addition
to a new one
- altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alternateTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ALTERNATION_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
-
ALTERNATION = 4;
- ALTERNATIVEDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- AlternativeDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
-
- altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- altVal() - Method in class edu.stanford.nlp.time.Timex
-
- ALTVALUE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
- am - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
-
- AmbiguityClass - Class in edu.stanford.nlp.tagger.maxent
-
An ambiguity class for a word is the word by itself or its set of observed tags.
- AmbiguityClass(String, boolean, Dictionary, TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- AmbiguityClasses - Class in edu.stanford.nlp.tagger.maxent
-
A collection of Ambiguity Class.
- AmbiguityClasses(TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
-
- Americanize - Class in edu.stanford.nlp.process
-
Takes a HasWord or String and returns an Americanized version of it.
- Americanize() - Constructor for class edu.stanford.nlp.process.Americanize
-
- Americanize(int) - Constructor for class edu.stanford.nlp.process.Americanize
-
Make an object for Americanizing spelling.
- americanize(String) - Static method in class edu.stanford.nlp.process.Americanize
-
Convert the spelling of a word from British to American English.
- americanize(String, boolean) - Static method in class edu.stanford.nlp.process.Americanize
-
Convert the spelling of a word from British to American English.
- AmericanizeFunction - Class in edu.stanford.nlp.process
-
- AmericanizeFunction() - Constructor for class edu.stanford.nlp.process.AmericanizeFunction
-
- AMPERSAND - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- ANALYZED - Static variable in class edu.stanford.nlp.patterns.LuceneFieldType
-
- ANALYZED_NO_POSITION - Static variable in class edu.stanford.nlp.patterns.LuceneFieldType
-
- ANALYZED_NOT_STORED - Static variable in class edu.stanford.nlp.patterns.LuceneFieldType
-
- ANAPHORICITY_MODEL - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- anaphoricityClassifier(boolean) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
-
- anaphoricityMFE() - Static method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor
-
- anaphoricityModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
-
- anaphoricityScores - Variable in class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
-
- ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Return the ancestor tree node height
nodes up from the current node.
- ANCORA_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- ancoraFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
Returns a tokenizer with Ancora tokenization.
- AnCoraPOSStats - Class in edu.stanford.nlp.international.spanish.pipeline
-
A utility to build unigram part-of-speech tagging data from XML
corpus files from the AnCora corpus.
- AnCoraPOSStats(List<File>, String) - Constructor for class edu.stanford.nlp.international.spanish.pipeline.AnCoraPOSStats
-
- AnCoraProcessor - Class in edu.stanford.nlp.international.spanish.pipeline
-
A tool which accepts raw AnCora-3.0 Spanish XML files and produces
normalized / pre-processed PTB-style treebanks for use with CoreNLP
tools.
- AnCoraProcessor(List<File>, Properties) - Constructor for class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
-
- AnCoraPronounDisambiguator - Class in edu.stanford.nlp.international.spanish.process
-
A utility for preprocessing the AnCora Spanish corpus.
- AnCoraPronounDisambiguator() - Constructor for class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
-
- AnCoraPronounDisambiguator.PersonalPronounType - Enum in edu.stanford.nlp.international.spanish.process
-
- and(Trilean) - Method in class edu.stanford.nlp.util.Trilean
-
Returns the logical and of this and the other value.
- AND_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- AndExpression(List<Expression>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AndExpression
-
- andFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
-
Filter that accepts only when both filters accept (AND).
- AndPatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- AndPatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- animacies - Variable in class edu.stanford.nlp.coref.data.CorefCluster
-
- animacies - Variable in class edu.stanford.nlp.dcoref.CorefCluster
-
- animaciesAgree(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
- animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
-
- animaciesAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
- animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
-
- animacy - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
- animacy - Variable in class edu.stanford.nlp.coref.data.Mention
-
- animacy - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
- animacy - Variable in class edu.stanford.nlp.dcoref.Mention
-
- ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- ANIMACY_WORD_LIST - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- animacySet - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- ANIMATE_NOUN - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- ANIMATE_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- ANIMATE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- animatePronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- animatePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- animatePronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- animatePronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- animateWords - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- animateWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- annotate(Annotation) - Method in class edu.stanford.nlp.coref.CorefSystem
-
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
-
Annotate an ExtractionDataSet with entities.
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- annotate(Annotation) - Method in interface edu.stanford.nlp.ie.machinereading.Extractor
-
Annotates the given dataset with the current model This works in place,
i.e., it adds ExtractionObject objects to the sentences in the dataset To
make sure you are not messing with gold annotation create a copy of the
ExtractionDataSet first!
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
-
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
-
- annotate(Annotation, int) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
-
- annotate(MatchedExpression, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- annotate(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- annotate(GraphicalModel, List<String>, ConcatVectorNamespace, Map<String, double[]>) - Static method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLFeaturizer
-
- annotate(Annotation) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Given an Annotation, perform a task on this Annotation.
- annotate(CoreMap, AnnotationPipeline) - Static method in class edu.stanford.nlp.naturalli.Util
-
TODO(gabor) JavaDoc
- annotate(Annotation) - Method in class edu.stanford.nlp.paragraphs.ParagraphAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Run the pipeline on an input annotation.
- annotate(Iterable<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
- annotate(Iterable<Annotation>, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
- annotate(Iterable<Annotation>, int) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads.
- annotate(Iterable<Annotation>, int, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads
- annotate(Annotation) - Method in interface edu.stanford.nlp.pipeline.Annotator
-
Given an Annotation, perform a task on this Annotation.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CharniakParserAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefMentionAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.HybridCorefAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.KBPAnnotator
-
Annotate this document for KBP relations.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MorphaAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MWTAnnotator
-
The annotation process runs in two steps.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NumberAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RegexNERAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
-
- annotate(CoreDocument) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Annotate the CoreDocument wrapper.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Run the pipeline on an input annotation.
- annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient
-
Run the pipeline on an input annotation.
- annotate(Iterable<Annotation>, int, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient
-
This method fires off a request to the server.
- annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient
-
The canonical entry point of the client annotator.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StatTokSentAnnotator
-
Method that performs the actual tokenization of CoreAnnotation.TextAnnotation object
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
-
Does the actual work of splitting TextAnnotation into CoreLabels,
which are then attached to the TokensAnnotation.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator
-
Given an Annotation, perform a task on this Annotation.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
-
If setCountLineNumbers is set to true, we count line numbers by
telling the underlying splitter to return empty lists of tokens
and then treating those empty lists as empty lines.
- annotate(Annotation) - Method in class edu.stanford.nlp.quoteattribution.ChapterAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
-
- annotate(CoreMap) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
-
- annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.HeidelTimeKBPAnnotator
-
- annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeKBPAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.TimeAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.TimexTreeAnnotator
-
- AnnotateAction(Map<String, String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
-
- AnnotateAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- annotateChunk(CoreMap, List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with basic chunk information.
- annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunk(CoreMap, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunks(List<? extends CoreMap>, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunkText(CoreMap, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String representing tokens in this chunks (token text separated by space)
- annotateChunkText(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
- annotateChunkTokens(CoreMap, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates tokens in chunk.
- ANNOTATEDPARSETREE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- AnnotatedTextReader - Class in edu.stanford.nlp.patterns.surface
-
CanNOT handle overlapping labeled text (that is one token cannot belong to
multiple labels)! Note that there has to be spaces around the tags
<label> and </label> for the reader to work correctly!
- AnnotatedTextReader() - Constructor for class edu.stanford.nlp.patterns.surface.AnnotatedTextReader
-
- annotateEntityMention(CoreMap, String) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
-
- annotateForDependencyParse(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
-
- annotateGroup(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- annotateGroup(int, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- AnnotateHeadFunction(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- AnnotateHeadFunction(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- annotateImpl(Annotation) - Method in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- annotateImpl(Annotation) - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator
-
Actually annotate a document with the server.
- annotateMulticlass(List<Datum<String, String>>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- annotateSentence(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- annotateSentence(CoreMap, Map<CoreLabel, List<CoreLabel>>) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Annotate a single sentence.
- annotateSingleSentence(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeAnnotator
-
Helper method for people not working from a complete Annotation.
- annotateTokenCoref - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTokenNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTokenPos - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenPos - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTokenSpeaker - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenSpeaker - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTreeCoref - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTreeCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTreeNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTreeNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- annotation - Variable in class edu.stanford.nlp.coref.data.Document
-
Document annotation
- annotation - Variable in class edu.stanford.nlp.coref.data.InputDoc
-
- annotation - Variable in class edu.stanford.nlp.dcoref.Document
-
Document annotation
- annotation - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- Annotation - Class in edu.stanford.nlp.pipeline
-
An annotation representing a span of text in a document.
- Annotation(Annotation) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Copy constructor.
- Annotation(String) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
The text becomes the CoreAnnotations.TextAnnotation of the newly
created Annotation.
- Annotation(List<CoreMap>) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Make a new Annotation from a List of tokenized sentences.
- Annotation() - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Deprecated.
- annotation() - Method in class edu.stanford.nlp.pipeline.CoreDocument
-
provide access to the underlying annotation if needed
- annotation() - Method in enum edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.DependenciesType
-
- Annotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.Annotation
-
- ANNOTATION_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- AnnotationCreator - Interface in edu.stanford.nlp.pipeline
-
Creates a annotation from an input source
- annotationDocument - Variable in class edu.stanford.nlp.pipeline.CoreDocument
-
- AnnotationExtractRule() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- AnnotationExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
-
- annotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field to apply rule over: text or tokens or numerizedtokens
- AnnotationIterator - Class in edu.stanford.nlp.pipeline
-
Helper iterator to read a file with stored annotations
- AnnotationIterator(String) - Constructor for class edu.stanford.nlp.pipeline.AnnotationIterator
-
- AnnotationIterator(String, int) - Constructor for class edu.stanford.nlp.pipeline.AnnotationIterator
-
- AnnotationLookup - Class in edu.stanford.nlp.ling
-
Provides a mapping between CoreAnnotation keys, which are classes, and a text String that names them,
which is needed for things like text serializations and the Semgrex query language.
- AnnotationMatchedFilter(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
-
- AnnotationOutputter - Class in edu.stanford.nlp.pipeline
-
An interface for outputting CoreNLP Annotations to different output
formats.
- AnnotationOutputter() - Constructor for class edu.stanford.nlp.pipeline.AnnotationOutputter
-
- AnnotationOutputter.Options - Class in edu.stanford.nlp.pipeline
-
- AnnotationPipeline - Class in edu.stanford.nlp.pipeline
-
This class is designed to apply multiple Annotators
to an Annotation.
- AnnotationPipeline(List<Annotator>) - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
-
- AnnotationPipeline() - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
-
- annotations - Variable in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
This data structure dictates how an arbitrary tree should be
annotated.
- annotations - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
-
- AnnotationSerializer - Class in edu.stanford.nlp.pipeline
-
- AnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer
-
- AnnotationSerializer.IntermediateEdge - Class in edu.stanford.nlp.pipeline
-
- AnnotationSerializer.IntermediateNode - Class in edu.stanford.nlp.pipeline
-
- AnnotationSerializer.IntermediateSemanticGraph - Class in edu.stanford.nlp.pipeline
-
- AnnotationSource - Interface in edu.stanford.nlp.pipeline
-
Data source from which annotations comes from
- annotationsToSkip - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
-
- annotationToDoc(Annotation, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
-
Converts the given annotation to an XML document using options taken from the StanfordCoreNLP pipeline
- annotationToDoc(Annotation, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
-
Converts the given annotation to an XML document using the specified options
- annotationToTmlTextElement(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
-
- annotationToXmlDocument(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
-
- AnnotationUtils - Class in edu.stanford.nlp.ie.machinereading.structure
-
Utilities to manipulate Annotations storing datasets or sentences with Machine Reading info
- Annotator - Interface in edu.stanford.nlp.pipeline
-
This is an interface for adding annotations to a partially annotated
Annotation.
- annotatorEndpoint - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- AnnotatorImplementations - Class in edu.stanford.nlp.pipeline
-
A class abstracting the implementation of various annotators.
- AnnotatorImplementations() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
- AnnotatorPool - Class in edu.stanford.nlp.pipeline
-
An object for keeping track of Annotators.
- AnnotatorPool() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorPool
-
Create an empty AnnotatorPool.
- annotatorProvides - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- annotatorRequires - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- AnnotatorSignature(String, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP.AnnotatorSignature
-
- announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- anonymyizeNodes(Iterable<IndexedWord>, String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given an iterable set of distinct vertices, creates a new mapping that maps the
original vertices to a set of "generic" versions.
- ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
-
- ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
-
- ANSWER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
-
- answerClass - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
-
- answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- answerLabel - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
-
- AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
-
- AnswerProbAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
-
- answers - Static variable in class edu.stanford.nlp.ie.util.FixLocation
-
- AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
-
- antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Is the speaker for mention the same entity as the ant entity?
- antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Is the speaker for mention the same entity as the ant entity?
- antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) - Static method in class edu.stanford.nlp.coref.CorefRules
-
The antecedent matches the speaker annotation found in the mention
- antecedentMatchesMentionSpeakerAnnotation(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Is the speaker for mention the same entity as the ant entity?
- antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) - Static method in class edu.stanford.nlp.dcoref.Rules
-
The antecedent matches the speaker annotation found in the mention
- antecedentOrdering - Variable in class edu.stanford.nlp.coref.data.Mention
-
- ANY - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- ANY - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- ANY_DISTANCE_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- ANY_NODE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- ANY_NODE_PATTERN - Static variable in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- ANY_NODE_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- ANY_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- Any_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
Any = 1;
- ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- AnyNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
-
- aOverAFilter - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
-
- aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
-
- APOSTROPHE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- appearEarlierThan(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find which mention appears first in a document
- appearEarlierThan(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find which mention appears first in a document
- append(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append to the current feature name
- append(char) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append to the current feature name
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
-
Append to replacement list our list of replacement items.
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.GroupMatchReplacement
-
Append to replacement list the matched group with the specified group id
- append(SequenceMatchResult<T>, List<T>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatcher.MatchReplacement
-
Append to replacement list.
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement
-
Append to replacement list the matched group with the specified group name
- append(CharSequence) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- append(CharSequence, int, int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- append(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- appendCoreMap(List<T>, CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- appendDateFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- appendingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- AppendingObjectOutputStream(OutputStream) - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer.AppendingObjectOutputStream
-
- appendLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- appendOffset(StringBuilder, int) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
-
- appendRules(List<SequenceMatchRules.Rule>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Add specified rules to this extractor.
- appendTimeFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- appliesNumericClassifiers() - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- apply(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Maps a String input to an XML-formatted rendition of applying NER to the
String.
- apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- apply(List<HasWord>) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper
-
Converts an input list of
HasWord
in IBM Arabic to
LDC ATBv3 representation.
- apply(String) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper
-
Applies escaping to a single word.
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
-
- apply(SequenceMatchResult<CoreMap>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
-
- apply(SequenceMatchResult<T>, int...) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchAction
-
- apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
-
- apply(MR) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
-
- apply(SequenceMatchResult<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
-
- apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
-
- apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
-
- apply(String) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- apply(Env, List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
-
Applies the function to the list values using the environment as context
and returns the evaluated value.
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- apply(SemanticGraph, Boolean) - Method in class edu.stanford.nlp.naturalli.ForwardEntailer
-
Create a new search problem instance, given a sentence (possibly fragment), and the corresponding
parse tree.
- apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
-
- apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
-
Parses the list of HasWord.
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- apply(Pair<UnaryGrammar, BinaryGrammar>) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
-
Destructively modifies the input and returns it as a convenience.
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
-
- apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Apply the given transition to the given configuration, modifying
the configuration's state in place.
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
-
Add a binary node to the existing node on top of the stack
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
-
Add a binary node to the existing node on top of the stack
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
-
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
-
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
-
Do nothing
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
-
Do nothing
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
-
Add the new preterminal to the stack, increment the queue position.
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
-
Add the new preterminal to the stack, increment the queue position.
- apply(State) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition
-
Applies this transition to get a new state.
- apply(State, double) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition
-
Applies this transition to get a new state.
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize
-
Americanize the HasWord or String coming in.
- apply(String) - Method in class edu.stanford.nlp.process.AmericanizeFunction
-
- apply(String) - Method in class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
-
- apply(String) - Method in class edu.stanford.nlp.process.LowercaseFunction
-
- apply(Object) - Method in class edu.stanford.nlp.process.Morphology
-
- apply(List<IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
-
Escape a List of HasWords.
- apply(Word) - Method in class edu.stanford.nlp.process.Stemmer
-
Stems word
(which must be a Word
,
or else
a ClassCastException will be thrown, and returns stemmed
Word
.
- apply(String) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
-
- apply(String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.common.Tagger
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Expects a sentence and returns a tagged sentence.
- apply(SUTime.Temporal, SUTime.Temporal, int) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(SUTime.Temporal, SUTime.Temporal) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(SUTime.Temporal...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(Object...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(String) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- apply(MatchResult) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JavaDateFormatExtractor
-
- apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
-
- apply(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Applies the TreeVisitor to to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.FilteringTreebank
-
Applies the TreeVisitor, but only to the trees that pass the
filter.
- apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.arabic.ATBEscaper
-
- apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
-
Note: At present this clobbers the input list items.
- apply(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.TraditionalSimplifiedCharacterMap
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Apply the TreeVisitor tp to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
Applies the TreeVisitor to to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank
-
Apply a TreeVisitor to each tree in the Treebank.
- apply(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
-
- apply(String) - Method in enum edu.stanford.nlp.util.logging.Color
-
- apply() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Apply this configuration to Redwood
- apply(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Parses a properties file and applies it immediately to Redwood
- apply(RedwoodConfiguration, Redwood.RecordHandlerTree) - Method in interface edu.stanford.nlp.util.logging.RedwoodConfiguration.Thunk
-
- apply(Properties) - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration
-
Configures the Redwood logger using a reasonable set of defaults,
which can be overruled by the supplied Properties file.
- apply(String) - Method in enum edu.stanford.nlp.util.logging.Style
-
- apply(String) - Method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
-
- APPLY_NUMERIC_CLASSIFIERS_DEFAULT - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- APPLY_NUMERIC_CLASSIFIERS_PROPERTY - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- ApplyDepPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.dep
-
Applying Dependency patterns to sentences.
- ApplyDepPatterns(Map<String, DataInstance>, List<String>, Map<SemgrexPattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.dep.ApplyDepPatterns
-
- applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) - Method in class edu.stanford.nlp.classify.Dataset
-
Applies feature count thresholds to the Dataset.
- applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Applies a feature count threshold to the Dataset.
- applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Applies a feature count threshold to the RVFDataset.
- applyFeatureCountThreshold(Collection<String>, int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseWordFeatureExtractor
-
- applyFeatureCountThreshold(Collection<String>, int) - Method in interface edu.stanford.nlp.parser.lexparser.WordFeatureExtractor
-
- applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Applies a max feature count threshold to the Dataset.
- applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Applies a feature max count threshold to the RVFDataset.
- applyNERPenalty - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- applyNumericClassifiers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- applyPats(Counter<E>, String, TwoDimensionalCounter<CandidatePhrase, E>, CollectionValuedMap<E, Triple<String, Integer, Integer>>, Set<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ScorePhrases
-
- ApplyPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.surface
-
Applying SurfacePattern to sentences.
- ApplyPatterns(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatterns
-
- ApplyPatternsMulti<E extends Pattern> - Class in edu.stanford.nlp.patterns.surface
-
- ApplyPatternsMulti(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatternsMulti
-
- applyPrior(double[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- applySpecializedNER(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Runs a deterministic named entity classifier which is good at recognizing
numbers and money and date expressions not recognized by our statistical
NER.
- applyTo(SemanticGraph, ClauseSplitterSearchProblem.State, SemanticGraphEdge, SemanticGraphEdge, SemanticGraphEdge) - Method in interface edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.Action
-
Apply this action to the given state.
- applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
-
- applyToTruthValue(boolean) - Method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation
-
Implements the finite state automata of composing the truth value of a sentence with a natural logic relation being
applied.
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "appositional modifier" grammatical relation.
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "appositional modifier" (appos) grammatical relation (abstract).
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "appositional modifier" grammatical relation.
- appositions - Variable in class edu.stanford.nlp.coref.data.Mention
-
Set of other mentions in the same sentence that are syntactic appositions to this
- appositions - Variable in class edu.stanford.nlp.dcoref.Mention
-
Set of other mentions in the same sentence that are syntactic appositions to this
- APPOSITIONS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- APPROVE_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
-
- approx - Variable in class edu.stanford.nlp.time.SUTime.Temporal
-
- approxAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- approxCombinedAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- APPROXIMATE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- approximate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
-
Treat durations as approximate
- APPROXIMATE - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
- APPROXIMATE_EQUIVALENCE_CLASSES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
-
- approximateEntityMatchScore(String, String) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
-
Approximately check if two entities are equivalent.
- ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- ApproxMatch<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
-
Represents an approximate match with a cost
- ApproxMatch() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- ApproxMatch(List<K>, V, int, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double, Interval[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- APRIL - Static variable in class edu.stanford.nlp.time.SUTime
-
- ARABIC - Static variable in class edu.stanford.nlp.swing.FontDetector
-
- ARABIC_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
list of properties files for each language
- Arabic_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
Arabic = 2;
- arabicAoverAFilter(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
-
- ArabicCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
-
- arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- ArabicDocument - Class in edu.stanford.nlp.simple
-
A sentence running with the Arabic models.
- ArabicDocument(String) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Create a new document from the passed in text.
- ArabicDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Convert a CoreNLP Annotation object to a Document.
- ArabicDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Create a Document object from a read Protocol Buffer.
- ArabicDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Create a new Arabic document from the passed in text and the given properties.
- ArabicDocumentReaderAndWriter - Class in edu.stanford.nlp.international.arabic.process
-
Reads newline delimited UTF-8 Arabic sentences with or without
gold segmentation markers.
- ArabicDocumentReaderAndWriter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation - Class in edu.stanford.nlp.international.arabic.process
-
- ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
-
- ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic
-
Find the head of an Arabic tree, using the usual kind of heuristic
head finding rules.
- ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
- ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
-
- ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
-
- ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic
-
Extracts morphosyntactic features from BAMA/SAMA analyses.
- ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
- ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic
-
Converts features specifications to labels for tagging
- arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- ArabicRawTreeNormalizer(PrintWriter, PrintWriter) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
-
- ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
-
- ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
-
- ARABICSEG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- ArabicSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
-
- ArabicSegmenter - Class in edu.stanford.nlp.international.arabic.process
-
Arabic word segmentation model based on conditional random fields (CRF).
- ArabicSegmenter(Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
-
Make an Arabic Segmenter.
- ArabicSegmenter(ArabicSegmenter) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
-
Copy constructor.
- ArabicSegmenterAnnotator - Class in edu.stanford.nlp.pipeline
-
This class will add segmentation information to an Annotation.
- ArabicSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.international.arabic.process
-
Feature factory for the IOB clitic segmentation model described by
Green and DeNero (2012).
- ArabicSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
-
- ArabicSentence - Class in edu.stanford.nlp.simple
-
- 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
-
- 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
-
- ATBCorrector - Class in edu.stanford.nlp.international.arabic.pipeline
-
Makes ATB trees consistent with ArabicTreebankLanguagePack.
- ATBCorrector() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrector
-
- ATBCorrectorVisitor - Class in edu.stanford.nlp.international.arabic.pipeline
-
Wrapper class for using the ATBCorrector class with TreebankPipeline's
TVISITOR parameter.
- ATBCorrectorVisitor() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrectorVisitor
-
- ATBEscaper - Class in edu.stanford.nlp.trees.international.arabic
-
Escapes an Arabic string by replacing ATB reserved words with the appropriate
escape sequences.
- ATBEscaper() - Constructor for class edu.stanford.nlp.trees.international.arabic.ATBEscaper
-
- atbFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- ATBTreeUtils - Class in edu.stanford.nlp.trees.international.arabic
-
Various static convenience methods for processing Arabic parse trees.
- ATOM_DELIMITER - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
- AtomicDouble - Class in edu.stanford.nlp.util.concurrent
-
A double
value that may be updated atomically.
- AtomicDouble(double) - Constructor for class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Creates a new AtomicDouble
with the given initial value.
- AtomicDouble() - Constructor for class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Creates a new AtomicDouble
with initial value 0.0
.
- attachedNegatedVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- attachLabels(Tree, Class<? extends CoreAnnotation<Integer>>) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
-
- attachModelToLexicalizedParser() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
-
- attribute - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
-
- Attribute - Class in edu.stanford.nlp.semgraph.semgrex
-
- ATTRIBUTE_PATTERNS - Static variable in class edu.stanford.nlp.scenegraph.EntityExtractor
-
- ATTRIBUTE_QUOTES - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- attributeGloss - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
-
- attributeGloss() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
-
- attributeLemmaGloss() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
-
- attributeMap - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
This stores any optional attributes of ExtractionObjects
- attributeMap() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- attributes - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
-
- attributes - Variable in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRegion
-
- attributes() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Stores attributes as a Map from keys to values.
- attributesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
-
Detects if the mention and candidate antecedent agree on all attributes respectively.
- attributesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
-
Detects if the mention and candidate antecedent agree on all attributes respectively.
- AttributesEqualMatchChecker(K...) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AttributesEqualMatchChecker
-
- AttributesEqualMatchChecker(Class...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
-
- ATTRIBUTIONDEPENDENCYGRAPH_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "attributive" grammatical relation.
- attrs - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
-
- AttrValue(Env, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- aType - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
-
type of mention we want to compare to.
- aTypeStr - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
-
- augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- augmentSubsentences - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
-
Some training trees will be repeated, with gold transitions given
for the first several steps to ensure the parser starts from a
good place.
- AUGUST - Static variable in class edu.stanford.nlp.time.SUTime
-
- AUTHOR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- AUTHOR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- AuthorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
-
- AUTHORCHARBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- AUTHORCHAREND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- AutomatonCompactor - Interface in edu.stanford.nlp.fsm
-
Compacts a weighted finite automaton.
- AutomatonMinimizer - Interface in edu.stanford.nlp.fsm
-
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "auxiliary" grammatical relation.
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "copula" grammatical relation.
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "auxiliary" (aux) grammatical relation.
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
An auxiliary of a clause is a non-main verb of the clause,
e.g., a modal auxiliary, or a form of be, do or have in a
periphrastic tense.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "passive auxiliary" grammatical relation.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "passive" grammatical relation.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "auxiliary passive" (auxpass) grammatical relation.
- AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "passive auxiliary" grammatical relation.
- auxDataPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- auxiliaries - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- AuxiliaryTree - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
- AuxiliaryTree(Tree, boolean) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
-
- auxTagConversion - Static variable in class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
-
- auxTrueCaseModels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- available() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
- available(int) - Static method in class edu.stanford.nlp.net.Ports
-
Checks to see if a specific port is available.
- average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- average(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns a new Counter with counts averaged from the two given Counters.
- average(Distribution<K>, Distribution<K>) - Static method in class edu.stanford.nlp.stats.Distributions
-
- averageBinaryMatrices(List<TwoDimensionalMap<String, String, SimpleMatrix>>) - Static method in class edu.stanford.nlp.parser.dvparser.AverageDVModels
-
- averageCount() - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the mean of all the counts (totalCount/size).
- AverageDataSeries(DataSeries[]) - Constructor for class edu.stanford.nlp.stats.DataSeries.AverageDataSeries
-
- averagedModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
-
If set to 0, training outputs the last model produced, regardless
of its score.
- AverageDVModels - Class in edu.stanford.nlp.parser.dvparser
-
Given a list of input DVParser models, this tool will output a new
DVParser which is the average of all of those models.
- AverageDVModels() - Constructor for class edu.stanford.nlp.parser.dvparser.AverageDVModels
-
- averageModels(Collection<PerceptronModel>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
-
- averagePerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- averageScoredModels(Collection<ScoredObject<PerceptronModel>>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
-
- averageUnaryMatrices(List<Map<String, SimpleMatrix>>) - Static method in class edu.stanford.nlp.parser.dvparser.AverageDVModels
-
- awaitTermination(long, TimeUnit) - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
-
After a shutdown request, await for the final termination of all
threads.
- C - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
C can be tuned using held-out set or cross-validation.
- c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
The underlying Collection of input sources.
- cache(Supplier<E>) - Static method in class edu.stanford.nlp.util.Lazy
-
Create a lazy value from the given provider, allowing the value
stored in the lazy to be garbage collected if necessary.
- cachedMarginal - Variable in class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState
-
- CacheMap<K,V> - Class in edu.stanford.nlp.util
-
A fixed size hash map with LRU replacement.
- CacheMap(int, float, boolean, String) - Constructor for class edu.stanford.nlp.util.CacheMap
-
Constructor.
- CacheMap(int, float, boolean) - Constructor for class edu.stanford.nlp.util.CacheMap
-
- CacheMap(int, float) - Constructor for class edu.stanford.nlp.util.CacheMap
-
- CacheMap(int) - Constructor for class edu.stanford.nlp.util.CacheMap
-
- cacheNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- CacheParseHypotheses - Class in edu.stanford.nlp.parser.dvparser
-
- CacheParseHypotheses(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
-
- cacheVectors() - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorTable
-
This is an optimization that will fault all the ConcatVectors into memory, and future .get() on the Supplier objs
will result in a very fast return by reference.
- calculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
-
Calculate the conditional likelihood.
- calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Calculate the conditional likelihood.
- calculate(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.classify.ShiftParamsLogisticObjectiveFunction
-
- calculate(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
Calculates both value and partial derivatives at the point x, and save them internally.
- calculate(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
Calculate the value at x and the derivative and save them in the respective fields
- calculate(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
Calculate the value at x and the derivative
and save them in the respective fields.
- calculate(double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
-
- calculate(double[]) - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient
-
- calculateFeatureImportance(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- calculateHeadSpan - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
-
If true, sets the head span to match the syntactic head of the extent.
- calculateMAP() - Method in class edu.stanford.nlp.loglinear.inference.CliqueTree
-
This assumes that factors represent joint probabilities.
- calculateMarginals() - Method in class edu.stanford.nlp.loglinear.inference.CliqueTree
-
This assumes that factors represent joint probabilities.
- calculateMarginalsJustSingletons() - Method in class edu.stanford.nlp.loglinear.inference.CliqueTree
-
This will calculate marginals, but skip the stuff that is created for gradient descent: joint marginals and
partition functions.
- calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
-
- calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerBCubed
-
- calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerMUC
-
- calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerPairwise
-
- calculateProbs(double[][][]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
calculateProbs puts log probs of taggings in the probabilities array.
- calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
-
- calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerBCubed
-
- calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerMUC
-
- calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerPairwise
-
- calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
-
- calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
-
- calculateScore(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
-
- calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
-
- calculateSigmoids(double[][], int[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
-
- calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
This function is used to come up with an estimate of the value / gradient based on only a small
portion of the data (referred to as the batchSize for lack of a better term.
- calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
calculateStochastic needs to calculate a stochastic approximation to the derivative and value of
of a function for a given batch of the data.
- calculateStochasticAlgorithmicDifferentiation(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticFiniteDifference(double[], double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Performs stochastic gradient update based
on samples indexed by batch, but does not apply regularization.
- calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic gradient calculation based
on samples indexed by batch and does not apply regularization.
- calculateStochasticGradient(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic gradient updates based
on samples indexed by batch and do not apply regularization.
- calculateStochasticGradientLocal(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
- calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
- calculateStochasticUpdate(double[], double, int, double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
-
Performs stochastic update of weights x (scaled by xScale) based
on next batch of batchSize.
- calculateSums(double[][], int[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
-
- calculateSums(double[][], int[], double[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
-
- calculateWeird1(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- CALENDAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
-
- call() - Method in class edu.stanford.nlp.patterns.dep.ApplyDepPatterns
-
- call() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass.LabelWithSeedWords
-
- call() - Method in class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt.ChooseDatumsThread
-
- call() - Method in class edu.stanford.nlp.patterns.surface.ApplyPatterns
-
- call() - Method in class edu.stanford.nlp.patterns.surface.ApplyPatternsMulti
-
- call() - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns.CreatePatternsThread
-
- CALL_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- callback(Object...) - Method in class edu.stanford.nlp.util.CallbackFunction
-
- CallbackFunction - Class in edu.stanford.nlp.util
-
A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
- CallbackFunction() - Constructor for class edu.stanford.nlp.util.CallbackFunction
-
- calls - Static variable in class edu.stanford.nlp.time.SUTimeSimpleParser
-
- canAddArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Determine whether the given transition is legal for this
configuration.
- CANCEL_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
-
- canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.GaleP4LexMapper
-
- canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
-
- canChangeEncoding(String, String) - Method in class edu.stanford.nlp.trees.treebank.DefaultMapper
-
- canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
-
Indicates whether child
can be converted to another encoding.
- CandidatePartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.parser.common.ParserAnnotations.CandidatePartOfSpeechAnnotation
-
- CandidatePhrase - Class in edu.stanford.nlp.patterns
-
- canonicalEntityMention() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention
-
return the canonical entity mention for this entity mention
- CANONICALENTITYMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- CanonicalEntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CanonicalEntityMentionIndexAnnotation
-
- CANONICALMENTION_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- CanonicalMentionAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionAnnotation
-
- CANONICALMENTIONBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- CanonicalMentionBeginAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionBeginAnnotation
-
- CANONICALMENTIONEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- CanonicalMentionEndAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionEndAnnotation
-
- canonicalMentionMapFromEntityMentions(List<CoreMap>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
-
- canonicalName - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType
-
A canonical name for this relation type.
- canonicalObject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
The object (third argument) of this triple, in its canonical mention (i.e., coref resolved).
- canonicalSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreQuote
-
retrieve the text of the canonical speaker
- canonicalSpeakerCharOffsets() - Method in class edu.stanford.nlp.pipeline.CoreQuote
-
retrieve the character offsets of the canonical speaker
- canonicalSpeakerEntityMention() - Method in class edu.stanford.nlp.pipeline.CoreQuote
-
retrieve the entity mention corresponding to the canonical speaker if there is one
- canonicalSpeakerTokens() - Method in class edu.stanford.nlp.pipeline.CoreQuote
-
retrieve the tokens of the canonical speaker
- canonicalSubject - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
The subject (first argument) of this triple, in its canonical mention (i.e., coref resolved)
- capacity() - Method in class edu.stanford.nlp.util.Beam
-
- capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Uppercases the first character of a string.
- capture(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Capture a system stream.
- captureSystemStreams(boolean, boolean) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Captures System.out and System.err and redirects them
to Redwood logging.
- cardinality - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType
-
The cardinality of this entity.
- CASE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "case" grammatical relation.
- CASE_ALLCAPS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- CASE_ALLCAPSORDOTS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- CASE_ALLDIGITS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- CASE_ALLDIGITSORDOTS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- CASE_CAPINI - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- CASE_INCAP - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- CASE_INSENSITIVE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- CASE_MARKER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CASE_MARKER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "prepositional modifier" grammatical relation.
- CASE_OTHER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- cased() - Method in class edu.stanford.nlp.simple.Document
-
Make this document case sensitive.
- cased() - Method in class edu.stanford.nlp.simple.Sentence
-
Make this sentence case sensitive.
- casedDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
Whether to (not) lowercase tokens before looking them up in distsim
lexicon.
- CaseExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CaseExpression(List<Pair<Expression, Expression>>, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CaseExpression
-
- caseInsensitive - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- caseless() - Method in class edu.stanford.nlp.simple.Document
-
Make this document caseless.
- caseless() - Method in class edu.stanford.nlp.simple.Sentence
-
Make this sentence caseless.
- cast(Iterable<?>, Class<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables
-
Casts all values in the given Iterable to the given type.
- cast(String, Type) - Static method in class edu.stanford.nlp.util.MetaClass
-
Cast a String representation of an object into that object.
- castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- castWithoutKnowingType(String) - Static method in class edu.stanford.nlp.util.MetaClass
-
- CategoricalFeatureExtractor - Class in edu.stanford.nlp.coref.neural
-
Extracts string matching, speaker, distance, and document genre features from mentions.
- CategoricalFeatureExtractor(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor
-
- category() - Method in class edu.stanford.nlp.ling.CategoryWordTag
-
- category() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the category value of the label (or null if none).
- category() - Method in interface edu.stanford.nlp.ling.HasCategory
-
Return the category value of the label (or null if none).
- CATEGORY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- categoryAndFunction(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns the syntactic category and 'function' of a String.
- categoryAndFunction(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns the syntactic category and 'function' of a String.
- CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
-
- CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
-
- CategoryWordTag - Class in edu.stanford.nlp.ling
-
A CategoryWordTag
object acts as a complex Label
which contains a category, a head word, and a tag.
- CategoryWordTag() - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
- CategoryWordTag(String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
This one argument constructor sets just the value.
- CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
- CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
-
Creates a new CategoryWordTag label from an existing label.
- CategoryWordTagFactory - Class in edu.stanford.nlp.ling
-
A CategoryWordTagFactory
is a factory that makes
a Label
which is a CategoryWordTag
triplet.
- CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.ling.CategoryWordTagFactory
-
- CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
- catType - Static variable in class edu.stanford.nlp.trees.WordCatConstituent
-
- CBEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb.CBEval
-
- cCommands(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Given nodes t1
and t2
which are
dominated by this node, returns true
iff
t1
c-commands t2
.
- ccompObjVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- ccompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
A list of verbs where the answer to a question involving that
verb would be a ccomp.
- CCtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
Transforms t if it contains a coordination in a flat structure
- cdcTokenizer(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Tokenize, ssplit, and mwt all at once, using ColumnDataClassifier
- CEDict - Class in edu.stanford.nlp.trees.international.pennchinese
-
- CENT - Static variable in class edu.stanford.nlp.ie.qe.Units.Currencies
-
- Centuries - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- CENTURY - Static variable in class edu.stanford.nlp.time.SUTime
-
- cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
-
- cf - Variable in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- CGMinimizer - Class in edu.stanford.nlp.optimization
-
Conjugate-gradient implementation based on the code in Numerical
Recipes in C.
- CGMinimizer() - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
-
Basic constructor, use this.
- CGMinimizer(boolean) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
-
Pass in false
to get per-iteration progress reports
(to stderr).
- CGMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
-
Perform minimization with monitoring.
- CGRunner - Class in edu.stanford.nlp.maxent
-
This class will call an optimization method such as Conjugate Gradient or
Quasi-Newton on a LambdaSolve object to find
optimal parameters, including imposing a Gaussian prior on those
parameters.
- CGRunner(LambdaSolve, String) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer.
- CGRunner(LambdaSolve, String, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer,
specifying a value for sigma2.
- CGRunner(LambdaSolve, String, double, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer.
- CGRunner(LambdaSolve, String, double, double[]) - Constructor for class edu.stanford.nlp.maxent.CGRunner
-
Set up a LambdaSolve problem for solution by a Minimizer.
- chain(Comparator<? super T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a new Comparator
which is the result of chaining the
given Comparator
s.
- chain(List<Comparator<? super T>>) - Static method in class edu.stanford.nlp.util.Comparators
-
Returns a new Comparator
which is the result of chaining the
given Comparator
s.
- chain(Comparator<T>...) - Static method in class edu.stanford.nlp.util.Comparators
-
- chain(Iterable<? extends Iterable<T>>) - Static method in class edu.stanford.nlp.util.Iterables
-
Chains together a set of Iterables of compatible types.
- chain(Iterable<T>...) - Static method in class edu.stanford.nlp.util.Iterables
-
Chains together all Iterables of type T as given in an array or
varargs parameter.
- chain(T[]...) - Static method in class edu.stanford.nlp.util.Iterables
-
Chains together all arrays of type T[] as given in an array or
varargs parameter.
- chain(LogRecordHandler[], RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Apply each of the handlers to incoming log messages, in sequence.
- chain(LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
- CHAINID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
- CHANGED_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
- changeFeatureIndex(Index<F>) - Method in class edu.stanford.nlp.classify.Dataset
-
- changeIfNecessary(int, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
-
- changeLabelIndex(Index<L>) - Method in class edu.stanford.nlp.classify.Dataset
-
- changePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Changes a priority, either up or down, adding the key it if it wasn't there already.
- changePriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Not supported in this implementation.
- changePriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Changes a priority, either up or down, adding the key it if it wasn't there already.
- changeScore(double) - Method in class edu.stanford.nlp.naturalli.SentenceFragment
-
Changes the score of this fragment in place.
- channelColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
- channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Create an object representing a group of channels.
- channels() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
-
Returns the channels for this record, in sorted order (special channels first, then alphabetical)
- channels(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Creates a new RedwoodChannels object, concatenating the channels from
this RedwoodChannels with some additional channels.
- channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- channelSeparatorChar - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
Character used to join multiple channel names
- channelStyles - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
- channelWidth(int) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Set the width of the channels (or 0 to not show channels).
- CHAPTER_BREAK - Variable in class edu.stanford.nlp.quoteattribution.ChapterAnnotator
-
- ChapterAnnotation() - Constructor for class edu.stanford.nlp.quoteattribution.ChapterAnnotator.ChapterAnnotation
-
- ChapterAnnotator - Class in edu.stanford.nlp.quoteattribution
-
Created by mjfang on 12/18/16.
- ChapterAnnotator() - Constructor for class edu.stanford.nlp.quoteattribution.ChapterAnnotator
-
- ChapterAnnotator.ChapterAnnotation - Class in edu.stanford.nlp.quoteattribution
-
- CHAPTERINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- CHARACTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- CHARACTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- CharacterLevelTagExtender - Class in edu.stanford.nlp.trees.international.pennchinese
-
A transformer to extend tags down to the level of individual characters.
- CharacterLevelTagExtender() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CharacterLevelTagExtender
-
- CharacterLevelTagExtender(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CharacterLevelTagExtender
-
- characterMap - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- characterOffsetBegin() - Method in class edu.stanford.nlp.simple.Sentence
-
- characterOffsetBegin(int) - Method in class edu.stanford.nlp.simple.Sentence
-
The character offset of the given index in the sentence.
- characterOffsetBegin() - Method in class edu.stanford.nlp.simple.Token
-
- CHARACTEROFFSETBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
-
- characterOffsetEnd() - Method in class edu.stanford.nlp.simple.Sentence
-
- characterOffsetEnd(int) - Method in class edu.stanford.nlp.simple.Sentence
-
The end character offset of the given index in the sentence.
- characterOffsetEnd() - Method in class edu.stanford.nlp.simple.Token
-
- CHARACTEROFFSETEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
-
- characters(char[], int, int) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- Characters - Class in edu.stanford.nlp.util
-
Character-level utilities.
- CHARACTERS_FILE - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- CharactersAnnotation() - Constructor for class edu.stanford.nlp.ling.SegmenterCoreAnnotations.CharactersAnnotation
-
- CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
-
- charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- CHARBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- CHAREND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- CharniakParser - Class in edu.stanford.nlp.parser.charniak
-
Runs the Charniak parser via the command line.
- CharniakParser() - Constructor for class edu.stanford.nlp.parser.charniak.CharniakParser
-
- CharniakParser(String, String) - Constructor for class edu.stanford.nlp.parser.charniak.CharniakParser
-
- CharniakParserAnnotator - Class in edu.stanford.nlp.pipeline
-
This class will add parse information to an Annotation from the BLLIP parser.
- CharniakParserAnnotator(String, String, boolean, int) - Constructor for class edu.stanford.nlp.pipeline.CharniakParserAnnotator
-
- CharniakParserAnnotator() - Constructor for class edu.stanford.nlp.pipeline.CharniakParserAnnotator
-
- CharniakScoredParsesReaderWriter - Class in edu.stanford.nlp.parser.charniak
-
Utility routines for printing/reading scored parses for the Charniak Parser.
- charOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Character offsets (relative to original text).
- charOffsets() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention
-
char offsets of mention
- charOffsets() - Method in class edu.stanford.nlp.pipeline.CoreSentence
-
char offsets of mention
- chart - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- charTags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- cheapWordToString(IndexedWord) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
This converts the node into a simple string based representation.
- cheatPCFG - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Add all test set trees to training data for PCFG.
- check() - Method in class edu.stanford.nlp.util.IntervalTree
-
- check(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- checkArgs(List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
-
Checks if the arguments are valid.
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
-
- checkClean() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
-
- checkClusters(Logger, String, Document) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
- checkConstructor(Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
- checkCorrectness() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Check whether the constraints are satisfied, the probabilities sum to one, etc.
- checkCorrectness() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
-
Works out whether the model expectations match the empirical
expectations.
- checkCrossing(Set<Constituent>, Set<Constituent>) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
-
- checkDic(String, SeqClassifierFlags) - Method in class edu.stanford.nlp.wordseg.NonDict2
-
- checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
-
- checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.coref.hybrid.sieve.NameMatch
-
- checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
-
- checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.dcoref.sievepasses.NameMatch
-
- checkError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- checkExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
-
- checkFile(File) - Method in class edu.stanford.nlp.ie.NERGUI
-
- checkFlagExclusiveSet(int, int, int) - Static method in class edu.stanford.nlp.util.Interval
-
Utility function to check if a particular flag is set exclusively
given a particular set of flags and a mask.
- checkFlagSet(int, int) - Static method in class edu.stanford.nlp.util.Interval
-
Utility function to check if a particular flag is set
given a particular set of flags.
- checkForInterrupt() - Static method in class edu.stanford.nlp.coref.CorefUtils
-
- checkGradient - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- checkIllegalAttributes(Map<String, String>) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
-
Certain attributes cannot be edited, especially docid, sentid, idx,
or they mess up the hashmaps in the SemanticGraph
- checkLeafBranching(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
-
If an internal node goes directly to a leaf, that is an illegal tree.
- checkMemory(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- checkMultipleBitSet(int) - Static method in class edu.stanford.nlp.util.Interval
-
Utility function to check if multiple bits are set for flags
- checkNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- checkNotExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
-
- checkOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Checks if offsets of doc and sentence matches.
- checkProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Checks to make sure that all properties specified in properties
are known to the program by checking that each simply overrides
a default value.
- checkRequiredProperties(Properties, String...) - Static method in class edu.stanford.nlp.util.StringUtils
-
If any of the given list of properties are not found, returns the
name of that property.
- checkRootTransition(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
-
Some trees in the English datasets have a binary transition at
the top, which we don't like as it teaches the parser to
sometimes make binary transitions in normal trees
- checkStatus(URL) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient
-
Return true if the referenced server is alive and returns a non-error response code.
- checkTime(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- checkWordListMatch(PhraseTable.Phrase, PhraseTable.WordList, int, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- child - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule
-
- CHILD_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
- childFilteredEval(String, boolean, TreebankLanguagePack, String) - Static method in class edu.stanford.nlp.parser.metrics.FilteredEval
-
Returns an eval which is good for counting the attachment of
specific node types.
- childPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of pairs of a relation name and the child
IndexedFeatureLabel that bears that relation.
- childRelns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a list of relations which this node has with its children.
- children - Variable in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
Child tries
- children - Variable in class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState
-
- children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
-
Returns an array of children for the current node, or null
if it is a leaf.
- children() - Method in class edu.stanford.nlp.trees.SimpleTree
-
Returns an array of children for the current node, or null
if it is a leaf.
- children() - Method in class edu.stanford.nlp.trees.Tree
-
Returns an array of children for the current node.
- children - Variable in class edu.stanford.nlp.trees.TreeGraphNode
-
Children of this node.
- children() - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Returns an array of the children of this node.
- children() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- ChildrenAnnotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.ChildrenAnnotation
-
- childrenNamesSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
-
- childSpi(String) - Method in class edu.stanford.nlp.util.DisabledPreferences
-
- childTab - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
-
- CHINESE - Static variable in class edu.stanford.nlp.swing.FontDetector
-
- CHINESE_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- Chinese_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
Chinese = 3;
- CHINESECHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- ChineseCharacterBasedLexicon - Class in edu.stanford.nlp.parser.lexparser
-
- ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
-
- ChineseCharacterBasedLexiconTraining - Class in edu.stanford.nlp.parser.lexparser
-
Includes a main file which trains a ChineseCharacterBasedLexicon.
- ChineseCharacterBasedLexiconTraining() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexiconTraining
-
- ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
-
- ChineseCollinizer - Class in edu.stanford.nlp.trees.international.pennchinese
-
Performs collinization operations on Chinese trees similar to
those for English Namely:
strips all functional & automatically-added tags
strips all punctuation
merges PRN and ADVP
eliminates ROOT (note that there are a few non-unary ROOT nodes;
these are not eliminated)
- ChineseCollinizer(ChineseTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- ChineseCollinizer(ChineseTreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
-
- chineseColonAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseCommaAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseDashAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseDictionary - Class in edu.stanford.nlp.wordseg
-
This class provides a main method that loads various dictionaries, and
saves them in a serialized version, and runtime compiles them into a word list used as a feature in the segmenter.
- ChineseDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
-
- ChineseDictionary(String[]) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
-
- ChineseDictionary(String[], ChineseDocumentToSentenceProcessor) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
-
- ChineseDictionary(String, ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
-
The first argument can be one file path, or multiple files separated by
commas.
- ChineseDictionary(String[], ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
-
- ChineseDocument - Class in edu.stanford.nlp.simple
-
A sentence running with the Chinese models.
- ChineseDocument(String) - Constructor for class edu.stanford.nlp.simple.ChineseDocument
-
Create a new document from the passed in text.
- ChineseDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.ChineseDocument
-
Convert a CoreNLP Annotation object to a Document.
- ChineseDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.ChineseDocument
-
Create a Document object from a read Protocol Buffer.
- ChineseDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.ChineseDocument
-
Create a new chinese document from the passed in text and the given properties.
- ChineseDocumentToSentenceProcessor - Class in edu.stanford.nlp.process
-
Convert a Chinese Document into a List of sentence Strings.
- ChineseDocumentToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
-
- ChineseDocumentToSentenceProcessor(String) - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
-
- chineseDouHaoAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseEndSentenceAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseEnglishWordMap - Class in edu.stanford.nlp.trees.international.pennchinese
-
A class for mapping Chinese words to English.
- ChineseEnglishWordMap() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Make a ChineseEnglishWordMap with a default CEDict path.
- ChineseEnglishWordMap(String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Make a ChineseEnglishWordMap
- ChineseEnglishWordMap(String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Make a ChineseEnglishWordMap
- ChineseEnglishWordMap(String, String, String, String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- ChineseEnglishWordMap(String, String, String, String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- ChineseEscaper - Class in edu.stanford.nlp.trees.international.pennchinese
-
An Escaper for Chinese normalization to match Treebank.
- ChineseEscaper() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
-
- ChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese
-
- ChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese
-
A GrammaticalStructure for Chinese.
- ChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
Construct a new GrammaticalStructure
from an
existing parse tree.
- ChineseGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- ChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
Used for postprocessing CoNLL X dependencies
- ChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
- ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
- ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- ChineseGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
-
- ChineseHcorefDemo - Class in edu.stanford.nlp.coref.hybrid.demo
-
A simple example of Stanford Chinese coreference resolution.
- ChineseHcorefDemo() - Constructor for class edu.stanford.nlp.coref.hybrid.demo.ChineseHcorefDemo
-
- ChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
-
HeadFinder for the Penn Chinese Treebank.
- ChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
-
- ChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
-
- ChineseHeadMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
-
- ChineseHeadMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ChineseHeadMatch
-
- ChineseHeadMatch(Properties) - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ChineseHeadMatch
-
- ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
-
- chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseLexicon - Class in edu.stanford.nlp.parser.lexparser
-
A lexicon class for Chinese.
- ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexicon
-
- ChineseLexiconAndWordSegmenter - Class in edu.stanford.nlp.parser.lexparser
-
This class lets you train a lexicon and segmenter at the same time.
- ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
- ChineseLexiconAndWordSegmenter(String, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
-
Construct a new ChineseLexiconAndWordSegmenter.
- ChineseMarkovWordSegmenter - Class in edu.stanford.nlp.parser.lexparser
-
Performs word segmentation with a hierarchical markov model over POS
and over characters given POS.
- ChineseMarkovWordSegmenter(ChineseCharacterBasedLexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
-
- ChineseMarkovWordSegmenter(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
-
- ChineseMaxentLexicon - Class in edu.stanford.nlp.parser.lexparser
-
A Lexicon class that computes the score of word|tag according to a maxent model
of tag|word (divided by MLE estimate of P(tag)).
- ChineseMaxentLexicon(Options, Index<String>, Index<String>, int) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMaxentLexicon
-
- ChineseMorphFeatureSets - Class in edu.stanford.nlp.ie
-
A class for holding Chinese morphological features used for word segmentation and POS tagging.
- ChineseMorphFeatureSets(String) - Constructor for class edu.stanford.nlp.ie.ChineseMorphFeatureSets
-
- ChineseNumberSequenceClassifier - Class in edu.stanford.nlp.ie.regexp
-
A simple rule-based classifier that detects NUMBERs in a sequence of Chinese tokens.
- ChineseNumberSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- ChineseNumberSequenceClassifier(boolean) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- ChineseNumberSequenceClassifier(Properties, boolean, Properties) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
-
- chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseQuantifiableEntityNormalizer - Class in edu.stanford.nlp.ie
-
A Chinese correspondence of the
QuantifiableEntityNormalizer
that normalizes NUMBER, DATE, TIME,
MONEY, PERCENT and ORDINAL amounts expressed in Chinese.
- chineseQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseRightParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- chineseRightQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- CHINESESEG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
-
- ChineseSegmenterAnnotator - Class in edu.stanford.nlp.pipeline
-
This class will add segmentation information to an Annotation.
- ChineseSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
-
- ChineseSegmenterAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
-
- ChineseSegmenterAnnotator(String, boolean, String, String) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
-
- ChineseSegmenterAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
-
- ChineseSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.wordseg
-
A Chinese segmenter Feature Factory for GALE project.
- ChineseSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
-
- chineseSelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- ChineseSemanticHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
-
Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
- ChineseSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
-
- ChineseSemanticHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
-
- ChineseSentence - Class in edu.stanford.nlp.simple
-
- ChineseSentence(String) - Constructor for class edu.stanford.nlp.simple.ChineseSentence
-
- ChineseSentence(List<String>) - Constructor for class edu.stanford.nlp.simple.ChineseSentence
-
- ChineseSentence(CoreNLPProtos.Sentence) - Constructor for class edu.stanford.nlp.simple.ChineseSentence
-
- ChineseSimWordAvgDepGrammar - Class in edu.stanford.nlp.parser.lexparser
-
A Dependency grammar that smoothes by averaging over similar words.
- ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- chineseSplitDouHao - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: Split the dou hao (a punctuation mark separating
members of a list) from other punctuation.
- chineseSplitPunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: split Chinese punctuation several ways, along the lines
of English punctuation plus another category for the dou hao.
- chineseSplitPunctLR - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese: split left right/paren quote (if chineseSplitPunct is also
true.
- chineseSplitVP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Chinese VP splitting.
- ChineseStringUtils - Class in edu.stanford.nlp.wordseg
-
- ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese
-
Language pack for the UPenn/Colorado/Brandeis Chinese treebank.
- ChineseTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- ChineseTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
Parameter file for parsing the Penn Chinese Treebank.
- ChineseTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- ChineseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
-
Stores, trains, and scores with an unknown word model.
- ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, boolean, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
-
- ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
-
This constructor creates an UWM with empty data structures.
- ChineseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
-
- ChineseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
-
- ChineseUtils - Class in edu.stanford.nlp.trees.international.pennchinese
-
This class contains a few String constants and
static methods for dealing with Chinese text.
- chineseVerySelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- ChineseWordFeatureExtractor - Class in edu.stanford.nlp.parser.lexparser
-
- ChineseWordFeatureExtractor(int) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseWordFeatureExtractor
-
- CHINESEXMLCHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- chiSquare2by2(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Find a 2x2 chi-square value.
- chomp(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns the supplied string with any trailing '\n' or '\r\n' removed.
- chomp(Object) - Static method in class edu.stanford.nlp.util.StringUtils
-
Returns the result of calling toString() on the supplied Object, but with
any trailing '\n' or '\r\n' removed.
- choosedatums(boolean, String, TwoDimensionalCounter<CandidatePhrase, E>, Counter<E>, boolean) - Method in class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt
-
- ChooseDatumsThread(String, Map<String, DataInstance>, Collection<String>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<E>, Counter<Integer>, Map<String, Collection<CandidatePhrase>>, boolean, boolean) - Constructor for class edu.stanford.nlp.patterns.ScorePhrasesLearnFeatWt.ChooseDatumsThread
-
- chooseTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Figures out what tokenizer factory might be described by the
config.
- chooseTokenizerFactory(boolean, String, String, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- chooseTopWords(Counter<CandidatePhrase>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<CandidatePhrase>, Set<CandidatePhrase>, double) - Method in class edu.stanford.nlp.patterns.ScorePhrases
-
- CHTBTokenizer - Class in edu.stanford.nlp.trees.international.pennchinese
-
A simple tokenizer for tokenizing Penn Chinese Treebank files.
- CHTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
-
Constructs a new tokenizer from a Reader.
- ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
-
- ChunkAnnotationUtils - Class in edu.stanford.nlp.pipeline
-
Utility functions for annotating chunks
- chunkOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Chunk offsets (relative to chunking on top of original text)
- CL - Static variable in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
-
- CL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "clause modifier of a preposition" grammatical relation.
- classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ClassComparator() - Constructor for class edu.stanford.nlp.patterns.surface.Token.ClassComparator
-
- ClassicCounter<E> - Class in edu.stanford.nlp.stats
-
A specialized kind of hash table (or map) for storing numeric counts for
objects.
- ClassicCounter() - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Constructs a new (empty) Counter backed by a HashMap.
- ClassicCounter(int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
- ClassicCounter(MapFactory<E, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Pass in a MapFactory and the map it vends will back your Counter.
- ClassicCounter(MapFactory<E, MutableDouble>, int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Pass in a MapFactory and the map it vends will back your Counter.
- ClassicCounter(Counter<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Constructs a new Counter with the contents of the given Counter.
- ClassicCounter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
-
Constructs a new Counter by counting the elements in the given Collection.
- CLASSIFICATION_MODEL - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- classificationModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
-
- classificationScores - Variable in class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
-
- Classifier<L,F> - Interface in edu.stanford.nlp.classify
-
A simple interface for classifying and scoring data points, implemented
by most of the classifiers in this package.
- classifier - Variable in class edu.stanford.nlp.coref.statistical.PairwiseModel
-
- classifier - Variable in class edu.stanford.nlp.ie.KBPStatisticalExtractor
-
The implementing classifier of this extractor.
- classifier - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- Classifier - Class in edu.stanford.nlp.parser.nndep
-
Neural network classifier which powers a transition-based dependency parser.
- Classifier(Config, float[][], float[][], float[], float[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier
-
Instantiate a classifier with previously learned parameters in
order to perform new inference.
- Classifier(Config, Dataset, float[][], float[][], float[], float[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier
-
Instantiate a classifier with training data and randomly
initialized parameter matrices in order to begin training.
- CLASSIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- Classifier.Cost - Class in edu.stanford.nlp.parser.nndep
-
Describes the result of feedforward + backpropagation through
the neural network for the batch provided to a `CostFunction.`
- CLASSIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "classifier marker" grammatical relation.
- ClassifierCombiner<IN extends CoreMap & HasWord> - Class in edu.stanford.nlp.ie
-
Merges the outputs of two or more AbstractSequenceClassifiers according to
a simple precedence scheme: any given base classifier contributes only
classifications of labels that do not exist in the base classifiers specified
before, and that do not have any token overlap with labels assigned by
higher priority classifiers.
- ClassifierCombiner(Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
- ClassifierCombiner(Properties, ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Loads a series of base classifiers from the paths specified using the
Properties specified.
- ClassifierCombiner(ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Loads a series of base classifiers from the paths specified using the
Properties specified.
- ClassifierCombiner(String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Loads a series of base classifiers from the paths specified.
- ClassifierCombiner(AbstractSequenceClassifier<IN>...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
Combines a series of base classifiers.
- ClassifierCombiner(ObjectInputStream, Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
-
- ClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify
-
Creates a classifier with given weights
- ClassifierDemo - Class in edu.stanford.nlp.classify.demo
-
- ClassifierExample - Class in edu.stanford.nlp.classify
-
Sample code that illustrates the training and use of a linear classifier.
- ClassifierFactory<L,F,C extends Classifier<L,F>> - Interface in edu.stanford.nlp.classify
-
A simple interface for training a Classifier from a Dataset of training
examples.
- classifierFactory - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.TrainingOptions
-
- classifierType - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
-
- classifierType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- classify(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the tokens in a String.
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify a
List
of something that extends
CoreMap
.
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
Generates the AnswerAnnotation labels of the combined model for the given
tokens, storing them in place in the tokens.
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPEnsembleExtractor
-
- classify(KBPRelationExtractor.KBPInput) - Method in interface edu.stanford.nlp.ie.KBPRelationExtractor
-
Classify the given sentence into the relation it expresses, with the associated
confidence.
- classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPSemgrexExtractor
-
- classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPStatisticalExtractor
-
Score the given input, returning both the classification decision and the
probability of that decision.
- classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPTokensregexExtractor
-
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- classify(List<IN>) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
- classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
Use a set of heuristic rules to assign NER tags to tokens.
- classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
-
- classify(CoreMap) - Method in class edu.stanford.nlp.sentiment.SimpleSentiment
-
Get the sentiment of a sentence.
- classify(String) - Method in class edu.stanford.nlp.sentiment.SimpleSentiment
-
- classifyAndWriteAnswers(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a text file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswers(String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswers(String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswers(String, OutputStream, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
If the flag
outputEncoding
is defined, the output is written in that
character encoding, otherwise in the system default character encoding.
- classifyAndWriteAnswers(String, String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyAndWriteAnswers(Collection<List<IN>>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyAndWriteAnswers(Collection<List<IN>>, PrintWriter, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
- classifyAndWriteAnswersKBest(ObjectBank<List<IN>>, int, PrintWriter, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Run the classifier on the documents in an ObjectBank, and print the
answers to a given PrintWriter (with timing to stderr).
- classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Load a test file, run the classifier on it, and then write a Viterbi search
graph for each sequence.
- classifyFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a file.
- classifyFilesAndWriteAnswers(Collection<File>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Run the classifier on a collection of text files.
- classifyFilesAndWriteAnswers(Collection<File>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyGibbs(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classifyGibbs(List<IN>, Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classifyKBest(List<IN>, Class<? extends CoreAnnotation<String>>, int) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Takes a list of tokens and provides the K best sequence labelings of these tokens with their scores.
- classifyMaxEnt(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Do standard sequence inference, using either Viterbi or Beam inference
depending on the value of flags.inferenceType
.
- classifyMentions(List<List<Mention>>, Dictionaries, Properties) - Method in class edu.stanford.nlp.coref.md.MentionDetectionClassifier
-
- classifyRaw(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the tokens in a String.
- classifySentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify a List of IN.
- classifySentenceWithGlobalInformation(List<? extends HasWord>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify a List of IN using whatever additional information is passed in globalInfo.
- classifyStdin() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyStdin(DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classifyToCharacterOffsets(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a String
to classified character offset
spans.
- classifyToString(String, String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a String
to one of several String
representations that shows the classes.
- classifyToString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a String to a tagged word/class String.
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify a
List
of something that extends
CoreMap
using as
additional information whatever is stored in the document and sentence.
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
-
- classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
-
- classifyWithInlineXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Classify the contents of a String
.
- classIndex - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- classIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- classIndex - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- classIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- classIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- classIndex - Variable in class edu.stanford.nlp.ie.UniformPrior
-
- classLine - Static variable in class edu.stanford.nlp.misc.DependencyAnalyzer
-
- className - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
-
- classNames - Variable in class edu.stanford.nlp.sentiment.RNNOptions
-
- classOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
-
- classOf(Datum<String, String>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
-
- classOf(Datum<K, V>) - Method in class edu.stanford.nlp.classify.KNNClassifier
-
NOTE: currently does not support standard Datums, only RVFDatums.
- classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
- classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Deprecated.
- classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
-
- classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
-
Deprecated.
- classOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
-
- classOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
-
- classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.MultinomialLogisticClassifier
-
- classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.MultinomialLogisticClassifier
-
- classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
-
- classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
-
- classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.OneVsAllClassifier
-
- classOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
-
- classOf(Datum<String, String>, ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- classOf(List<IN>, int) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Returns the most likely class for the word at the given position.
- classORRestrictionsAsString() - Method in class edu.stanford.nlp.patterns.surface.Token
-
- classShorthandToFull - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
shorthands for CoreAnnotations
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "clausal complement" grammatical relation.
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "clausal" grammatical relation.
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "clausal complement" (ccomp) grammatical relation.
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal complement" grammatical relation.
- CLAUSAL_LOCALIZER_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal modifier of noun" relation.
- CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "clausal passive subject" grammatical relation.
- CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal passive subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "clausal subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "clausal subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "clausal subject" grammatical relation.
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "clausal subject" grammatical relation.
- clausalComplementRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- clauseIntermWeight - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.TrainingOptions
-
- clauseRelations - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- clausesInSentence(SemanticGraph, boolean) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Find the clauses in a sentence, where the sentence is expressed as a dependency tree.
- clausesInSentence(CoreMap) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Find the clauses in a sentence.
- ClauseSplitter - Interface in edu.stanford.nlp.naturalli
-
Just a convenience alias for a clause splitting search problem factory.
- clauseSplitter - Variable in class edu.stanford.nlp.naturalli.OpenIE
-
The clause splitter model, if one is to be used.
- ClauseSplitter.ClauseClassifierLabel - Enum in edu.stanford.nlp.naturalli
-
- ClauseSplitterSearchProblem - Class in edu.stanford.nlp.naturalli
-
A search problem for finding clauses in a sentence.
- ClauseSplitterSearchProblem(SemanticGraph, boolean, Optional<Classifier<ClauseSplitter.ClauseClassifierLabel, String>>, Optional<Function<Triple<ClauseSplitterSearchProblem.State, ClauseSplitterSearchProblem.Action, ClauseSplitterSearchProblem.State>, Counter<String>>>) - Constructor for class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem
-
Create a searcher manually, suppling a dependency tree, an optional classifier for when to split clauses,
and a featurizer for that classifier.
- ClauseSplitterSearchProblem(SemanticGraph, boolean) - Constructor for class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem
-
Create a clause searcher which searches naively through every possible subtree as a clause.
- ClauseSplitterSearchProblem.Action - Interface in edu.stanford.nlp.naturalli
-
An action being taken; that is, the type of clause splitting going on.
- ClauseSplitterSearchProblem.Featurizer - Interface in edu.stanford.nlp.naturalli
-
Mostly just an alias, but make sure our featurizer is serializable!
- ClauseSplitterSearchProblem.State - Class in edu.stanford.nlp.naturalli
-
A search state.
- ClauseSplitterSearchProblem.TrainingOptions - Class in edu.stanford.nlp.naturalli
-
The options used for training the clause searcher.
- clauseSplitWeight - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.TrainingOptions
-
- clean() - Method in class edu.stanford.nlp.maxent.Features
-
- clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- cleanGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- cleanTree(SemanticGraph, SemanticGraph) - Static method in class edu.stanford.nlp.naturalli.Util
-
Fix some bizarre peculiarities with certain trees.
- cleanupImage(SceneGraphImage) - Method in class edu.stanford.nlp.scenegraph.SceneGraphImageCleaner
-
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
-
Remove things like hyphened functional tags and equals from the
end of a node label.
- cleanUpRoot(String) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- cleanXML(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Clean XML input
- CleanXmlAnnotator - Class in edu.stanford.nlp.pipeline
-
An annotator which removes all XML tags (as identified by the
tokenizer) and possibly selectively keeps the text between them.
- CleanXmlAnnotator() - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- CleanXmlAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- CleanXmlAnnotator(String, String, String, boolean) - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- clear() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear() - Method in class edu.stanford.nlp.classify.RVFDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Resets the Dataset so that it is empty and ready to collect data.
- clear() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
clears the graph, removes all edges and nodes
- clear() - Method in interface edu.stanford.nlp.graph.Graph
-
clears the graph, removes all edges and nodes
- clear() - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
-
- clear() - Method in class edu.stanford.nlp.io.StringOutputStream
-
- clear() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
-
- clear() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
Clears this table
- clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- clear() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- clear() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- clear() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- clear() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- clear() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- clear() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
- clear() - Method in class edu.stanford.nlp.pipeline.AnnotatorPool
-
Clear this pool, and unmount all the annotators mounted on it.
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- clear() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- clear() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- clear() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Removes all entries from the counter.
- clear() - Method in interface edu.stanford.nlp.stats.Counter
-
Removes all entries from the counter.
- clear() - Method in class edu.stanford.nlp.stats.IntCounter
-
Removes all counts from this Counter.
- clear() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
clears the map, total and default value
- clear() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- clear() - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- clear() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.trees.FilteringTreebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.trees.Treebank
-
Empty a Treebank
.
- clear() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Clears the heap.
- clear() - Method in class edu.stanford.nlp.util.ArrayMap
-
- clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Clears the queue.
- clear() - Method in class edu.stanford.nlp.util.BoundedPriorityQueue
-
- clear() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Clears this Map.
- clear() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- clear() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
- clear() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- clear() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
This is more expensive than normal.
- clear() - Method in class edu.stanford.nlp.util.DeltaIndex
-
We don't want to change the backing index in any way, and "clear"
would have to entail doing that, so we just throw an
UnsupportedOperationException instead
- clear() - Method in class edu.stanford.nlp.util.DeltaMap
-
This is more expensive than normal.
- clear(int, int) - Method in class edu.stanford.nlp.util.EditDistance
-
- clear() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
- clear() - Method in class edu.stanford.nlp.util.HashIndex
-
Clears this Index.
- clear() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Removes all of the elements from this set.
- clear() - Method in interface edu.stanford.nlp.util.Index
-
- clear() - Method in class edu.stanford.nlp.util.Interner
-
- clear(int) - Method in class edu.stanford.nlp.util.Interner
-
- clear() - Method in class edu.stanford.nlp.util.IntervalTree
-
- clear() - Method in class edu.stanford.nlp.util.IntervalTree.TreeNode
-
- clear() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Clear any custom configurations to Redwood
- clear() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- clear() - Method in class edu.stanford.nlp.util.OneToOneMap
-
- clear() - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap
-
- clear() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- clear() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- clear() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
-
- clear2D(double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- clearAfter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The whitespace/xml after the token
- clearAll() - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
-
Removes all files from the panel
- clearAlternativeDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- clearAltValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional string altValue = 2;
- clearAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string animacy = 5;
- clearAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string animacy = 5;
- clearAnnotatedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- clearAnnotatorPool() - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Call this if you are no longer using StanfordCoreNLP and want to
release the memory associated with the annotators.
- clearAnswer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
A temporary annotation which is occasionally left in
- clearAppositions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 appositions = 54;
- clearArabicSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Arabic character info
- clearArg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- clearArgName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- clearAssumedTruth() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
optional bool assumedTruth = 3;
- clearAttributionDependencyGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- clearAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string author = 11;
- clearAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional string author = 3;
- clearAuthorCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional uint32 authorCharBegin = 7;
- clearAuthorCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional uint32 authorCharEnd = 8;
- clearBasicDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- clearBefore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The whitespace/xml before the token
- clearBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 begin = 2;
- clearBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
required uint32 begin = 1;
- clearBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
optional int32 begin = 2;
- clearBeginChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The character offset begin, in the document
- clearBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional uint32 beginIndex = 6;
- clearBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The begin index of, e.g., a span
- clearBeginPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional uint32 beginPoint = 6;
- clearBelongToLists() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 belongToLists = 58;
- clearBinarizedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- clearCache() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
Clears the cache in a way that doesn't require reallocation :-)
- clearCache() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
Clears the cache in a way that doesn't require reallocation :-).
- clearCalendar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional uint64 calendar = 8;
- clearCanonicalEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional uint32 canonicalEntityMentionIndex = 11;
- clearCanonicalMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string canonicalMention = 19;
- clearCanonicalMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 canonicalMentionBegin = 20;
- clearCanonicalMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 canonicalMentionEnd = 21;
- clearCategory() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's 'category' (e.g., parse tree node)
- clearChainID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
required int32 chainID = 1;
- clearChanged() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
optional bool changed = 2;
- clearChapterIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
quote stuff
- clearCharacter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- clearCharacter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- clearCharacterOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 characterOffsetBegin = 5;
- clearCharacterOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 characterOffsetEnd = 6;
- clearCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
required uint32 charBegin = 1;
- clearCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
required uint32 charEnd = 2;
- clearChild() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- clearChineseChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Chinese character info
- clearChineseSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string chineseSeg = 55;
- clearChineseXMLChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string chineseXMLChar = 60;
- clearCloseNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
bool closeNode = 2;
- clearCoarseNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's coarse NER tag
- clearCoarseTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The coarse POS tag (used to store the UPOS tag)
- clearCodepointOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 codepointOffsetBegin = 74;
- clearCodepointOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 codepointOffsetEnd = 75;
- clearCollapsedCCProcessedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- clearCollapsedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- clearComponent() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- clearConfidence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The [optional] confidence of the extraction
- clearConllUFeatures() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- clearConllUMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string conllUMisc = 35;
- clearConllUSecondaryDeps() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- clearConllUTokenSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- clearContents() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- clearConversions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- clearCopyAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
optional uint32 copyAnnotation = 3;
- clearCopyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
optional uint32 copyCount = 4;
- clearCorefChain() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- clearCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 corefClusterID = 15;
- clearCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The [primary] cluster id for this token
- clearCorefID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string corefID = 11;
- clearCorefMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mention index info
- clearCorefMentionToEntityMentionMappings() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- clearData() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
repeated double data = 2;
- clearDatetime() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional string datetime = 5;
- clearDep() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional string dep = 3;
- clearDependents() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- clearDependingVerb() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- clearDimensionSize() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated int32 dimensionSize = 1;
- clearDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- clearDocDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional string docDate = 7;
- clearDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional string docID = 4;
- clearDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
optional int32 docID = 3;
- clearDocid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string docid = 9;
- clearDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
doc id
- clearDocument() - Method in class edu.stanford.nlp.ie.NERGUI
-
- clearDocument() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- clearEdge() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- clearEdge() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- clearEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
optional uint32 emptyIndex = 4;
- clearEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 emptyIndex = 80;
- clearEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 end = 3;
- clearEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
required uint32 end = 2;
- clearEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
optional int32 end = 3;
- clearEndChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The character offset end, in the document
- clearEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional uint32 endIndex = 7;
- clearEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional uint32 endIndex = 9;
- clearEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The begin index of, e.g., a span
- clearEndPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional uint32 endPoint = 7;
- clearEnhancedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- clearEnhancedPlusPlusDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- clearEnhancedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
the quote annotator can soometimes add merged sentences
- clearEntailedClause() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- clearEntailedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- clearEntity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- clearEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional uint32 entityMentionIndex = 10;
- clearEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 entityMentionIndex = 65;
- clearEntityMentionText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string entityMentionText = 12;
- clearEntityMentionToCorefMentionMappings() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- clearEntityType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string entityType = 6;
- clearError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- clearExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Document, T>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- clearExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Sentence, T>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- clearExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Token, T>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- clearExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 extentEnd = 3;
- clearExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
optional uint32 extentEnd = 3;
- clearExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 extentStart = 2;
- clearExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
optional uint32 extentStart = 2;
- clearF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
required double f1 = 1;
- clearFactor() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- clearFactorTable() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- clearFeaturesTable() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- clearField(Descriptors.FieldDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- clearFineGrainedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's fine-grained NER tag
- clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string gender = 4;
- clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string gender = 4;
- clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string gender = 9;
- clearGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Fields set by other annotators in CoreNLP
- clearGeneric() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool generic = 25;
- clearGold() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- clearGoldCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 goldCorefClusterID = 14;
- clearGradientHistories() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
Clear all gradient histories used for AdaGrad training.
- clearGradientsPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config
-
During training, clear AdaGrad gradient histories after every
clearGradientsPerIter
iterations.
- clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- clearGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- clearGraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
when processing multiple dependency graphs at once,
which dependency graph this applies to
indexed from 0
- clearGroup() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- clearHandlers() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Remove all log handlers from Redwood, presumably in order to
construct a custom pipeline afterwards
- clearHasBasicDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasBasicDependency = 27;
- clearHasContextParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasContextParseTree = 29;
- clearHasCorefAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional bool hasCorefAnnotation = 16;
- clearHasCorefMentionAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional bool hasCorefMentionAnnotation = 15;
- clearHasCorefMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional bool hasCorefMentionsAnnotation = 57;
- clearHasEnhancedDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasEnhancedDependency = 28;
- clearHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
used to differentiate between null and empty list
- clearHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
check if there are entity mentions
- clearHasKBPTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
check if there are KBP triples
- clearHasNumerizedTokensAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional bool hasNumerizedTokensAnnotation = 54;
- clearHasOpenieTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
check if there are OpenIE triples
- clearHasRelationAnnotations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
Fields set by other annotators in CoreNLP
- clearHasTwin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasTwin = 24;
- clearHasXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- clearHeadEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 headEnd = 7;
- clearHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional uint32 headIndex = 9;
- clearHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 headIndex = 10;
- clearHeadIndexedWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- clearHeadStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 headStart = 6;
- clearHeadString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string headString = 11;
- clearHeadTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 headTokenIndex = 10;
- clearHeadWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- clearHeadWordIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
- clearId() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string id = 3;
- clearIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
required uint32 index = 2;
- clearIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 index = 10;
- clearIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Most serialized annotations will not have this
Some code paths may not correctly process this if serialized,
since many places will read the index off the position in a sentence
In particular, deserializing a Document using ProtobufAnnotationSerializer
will clobber any index value
But Semgrex and Ssurgeon in particular need a way
to pass around nodes where the node's index is not strictly 1, 2, 3, ...
- clearIsDirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isDirectObject = 21;
- clearIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional bool isExtra = 4;
- clearIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
optional bool isExtra = 5;
- clearIsFirstMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional bool isFirstMWT = 68;
- clearIsIndirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isIndirectObject = 22;
- clearIsMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mwt stuff
- clearIsNewline() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional bool isNewline = 38;
- clearIsPrepositionObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isPrepositionObject = 23;
- clearIsSingleton() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isSingleton = 26;
- clearIsSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isSubject = 20;
- clearIstmod() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
If true, this expresses an implicit tmod relation
- clearKbestF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
optional double kbestF1 = 2;
- clearKBestParseTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- clearKbpTriple() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- clearKey() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- clearKey() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated uint32 key = 1;
- clearKey() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- clearLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
.edu.stanford.nlp.pipeline.Language language = 2;
- clearLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
- clearLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string language = 5;
- clearLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
required string lemma = 3;
- clearLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's lemma
- clearLineNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 lineNumber = 20;
- clearListMembers() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 listMembers = 57;
- clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- clearMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- clearMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
-
Remove all trees from the display
- clearMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
required int32 matchIndex = 1;
- clearMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
required int32 matchIndex = 2;
- clearMemory() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- clearMemory() - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
If you are keeping the contents in memory,
this will clear the memory, and they will be
recomputed the next time iterator() is
called.
- clearMemory() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- clearMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- clearMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mention = 12;
- clearMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 mentionBegin = 13;
- clearMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 mentionEnd = 14;
- clearMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional int32 mentionID = 1;
- clearMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 mentionID = 1;
- clearMentionNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 mentionNum = 16;
- clearMentions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- clearMentions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- clearMentions() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
repeated int32 mentions = 2;
- clearMentionsForCoref() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- clearMentionsForCoref() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- clearMentionSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mentionSieve = 16;
- clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string mentionType = 2;
- clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string mentionType = 8;
- clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string mentionType = 2;
- clearMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mentionType = 15;
- clearMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- clearMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- clearMwtMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
setting this to a map might be nice, but there are a couple issues
for one, there can be values with no key
for another, it's a pain to correctly parse, since different treebanks
can have different standards for how to write out the misc field
- clearMwtText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string mwtText = 69;
- clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required string name = 1;
- clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
required string name = 1;
- clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
required string name = 1;
- clearName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
required string name = 1;
- clearNeighbor() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
repeated int32 neighbor = 2;
- clearNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
required string ner = 4;
- clearNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's NER tag
- clearNerLabelProbs() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- clearNerString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string nerString = 12;
- clearNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- clearNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- clearNodes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- clearNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- clearNormalizedName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string normalizedName = 9;
- clearNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string normalizedNER = 5;
- clearNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's normalized NER tag
- clearNotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string notes = 4;
- clearNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string number = 3;
- clearNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string number = 3;
- clearNumericCompositeType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string numericCompositeType = 73;
- clearNumericCompositeValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint64 numericCompositeValue = 72;
- clearNumericType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string numericType = 71;
- clearNumericValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
number info
- clearObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The surface form of the object
- clearObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
inherited from ExtractionObject
- clearObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
inherited from ExtractionObject
- clearObjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 objectSpanBegin = 6;
- clearObjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 objectSpanEnd = 7;
- clearObjectTokens() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- clearOneof(Descriptors.OneofDescriptor) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- clearOpenieTriple() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- clearOpenNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
bool openNode = 1;
- clearOperation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
repeated string operation = 2;
- clearOperations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- clearOperator() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
- clearOriginalRef() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 originalRef = 13;
- clearOriginalSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- clearOriginalText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The original text for this token
- clearParagraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 paragraph = 19;
- clearParagraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 paragraph = 11;
- clearParagraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 paragraphIndex = 67;
- clearParent() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
French tokens have parents
- clearParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
- clearPattern() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
repeated string pattern = 2;
- clearPerson() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string person = 6;
- clearPolarity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The polarity of this word, according to Natural Logic
- clearPolarityDir() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The polarity of this word, either "up", "down", or "flat"
- clearPos() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's part of speech tag
- clearPosition() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
the second element of position
- clearPredicateNominatives() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 predicateNominatives = 55;
- clearPredicted() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- clearPrefixBe() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
If true, this relation string is missing a 'be' prefix
- clearPreprocessedTerms() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string preprocessedTerms = 53;
- clearProjectAlternation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
- clearProjectCover() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
- clearProjectEquivalence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
- clearProjectForwardEntailment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
- clearProjectIndependence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
- clearProjectNegation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
- clearProjectReverseEntailment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
- clearQuantifierSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 quantifierSpanBegin = 2;
- clearQuantifierSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 quantifierSpanEnd = 3;
- clearQuery() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- clearQuotationIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The index of the quotation this token refers to
- clearQuote() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- clearQuotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- clearRef() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- clearRelation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The surface form of the relation (required)
- clearRelation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- clearRelationTokens() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- clearRelativePronouns() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
The expected value of this is a regex which matches relative pronouns
- clearRelativePronouns() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 relativePronouns = 56;
- clearReln() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- clearReln() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
optional string reln = 4;
- clearReln() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
required string reln = 2;
- clearRepresentative() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
required uint32 representative = 3;
- clearResult() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- clearResult() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- clearResult() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- clearRoot() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated uint32 root = 3 [packed = true];
- clearRoot() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
optional uint32 root = 2;
- clearRootNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
The values in this field will index directly into the node list
This is useful so that additional information such as emptyIndex
can be considered without having to pass it around a second time
- clearScore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
optional double score = 4;
- clearScore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
optional double score = 5;
- clearScore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
optional double score = 4;
- clearSectionAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
author of section
- clearSectionAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string sectionAuthor = 57;
- clearSectionDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
date of section
- clearSectionDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string sectionDate = 58;
- clearSectionEndLabel() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string sectionEndLabel = 59;
- clearSectionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
section index for this sentence's section
- clearSectionName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
name of section
- clearSectionName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Section info
- clearSectionQuoted() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
is this sentence in an xml quote in a post
- clearSections() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- clearSemgrex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated string semgrex = 1;
- clearSemgrex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string semgrex = 1;
- clearSemgrexIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
index of the semgrex expression this match applies to
indexed from 0
- clearSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- clearSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
required int32 sentence = 1;
- clearSentenceBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 sentenceBegin = 5;
- clearSentenceEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 sentenceEnd = 6;
- clearSentenceID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
Useful when storing sentences (e.g.
- clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional uint32 sentenceIndex = 10;
- clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
required uint32 sentenceIndex = 1;
- clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional uint32 sentenceIndex = 1;
- clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 sentenceIndex = 4;
- clearSentenceIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
optional uint32 sentenceIndex = 1;
- clearSentenceIndexes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated uint32 sentenceIndexes = 4;
- clearSentencelessToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- clearSentenceNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
optional int32 sentenceNum = 1;
- clearSentenceWords() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- clearSentiment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
- clearSentiment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional string sentiment = 33;
- clearSentiment() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The final sentiment of the sentence
- clearSentNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 sentNum = 17;
- clearSignature() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
optional string signature = 8;
- clearSource() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
required uint32 source = 1;
- clearSource() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
required int32 source = 2;
- clearSourceCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional uint32 sourceCopy = 5;
- clearSourceCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
optional uint32 sourceCopy = 6;
- clearSourceEmpty() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional uint32 sourceEmpty = 8;
- clearSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The span of a leaf node of a tree
- clearSparse() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
required bool sparse = 1;
- clearSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string speaker = 17;
- clearSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
speaker stuff
- clearSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The speaker speaking this word
- clearSpeakerInfo() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
- clearSpeakerName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
optional string speakerName = 1;
- clearSpeakerSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string speakerSieve = 18;
- clearSpeakerType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The type of speaker speaking this sentence
- clearSpeakerType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The type of speaker speaking this word
- clearSsurgeon() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- clearStartIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional uint32 startIndex = 7;
- clearSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The surface form of the subject
- clearSubjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 subjectSpanBegin = 4;
- clearSubjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 subjectSpanEnd = 5;
- clearSubjectTokens() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- clearSubtype() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
Implicit
uint32 sentence @see implicit in sentence
- clearSubtype() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
Implicit
uint32 sentence @see implicit in sentence
- clearSuffixBe() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
If true, this relation string is missing a 'be' suffix
- clearSuffixOf() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
If true, this relation string is missing a 'of' prefix
- clearTarget() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
required uint32 target = 2;
- clearTarget() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
required int32 target = 3;
- clearTargetCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional uint32 targetCopy = 6;
- clearTargetCopy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
optional uint32 targetCopy = 7;
- clearTargetEmpty() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional uint32 targetEmpty = 9;
- clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
required string text = 1;
- clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string text = 1;
- clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
Only needed if we're only saving the sentence.
- clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional string text = 3;
- clearText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
optional string text = 1;
- clearTid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional string tid = 5;
- clearTimex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
- clearTimexValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The time this word refers to
- clearToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- clearToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- clearToken() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- clearTokenBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 tokenBegin = 7;
- clearTokenBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The begin index of the token
- clearTokenEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 tokenEnd = 8;
- clearTokenEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The end index of the token
- clearTokenEndInSentenceExclusive() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
required uint32 tokenEndInSentenceExclusive = 3;
- clearTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
optional int32 tokenIndex = 2;
- clearTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
repeated uint32 tokenIndex = 1;
- clearTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
optional uint32 tokenIndex = 2;
- clearTokenOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
required uint32 tokenOffsetBegin = 2;
- clearTokenOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
required uint32 tokenOffsetEnd = 3;
- clearTokenStartInSentenceInclusive() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
required uint32 tokenStartInSentenceInclusive = 2;
- clearTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
optional .edu.stanford.nlp.pipeline.FlattenedParseTree tree = 2;
- clearTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The dependency graph fragment for this triple
- clearTreebank() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- clearTreeF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
keep track of the individual tree F1 scores
- clearTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- clearTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- clearTrees() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- clearTregex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
required string tregex = 1;
- clearTrueCase() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
true case type of token
- clearTrueCaseText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
true case gloss of token
- clearTsurgeon() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
repeated string tsurgeon = 2;
- clearType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string type = 4;
- clearType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
optional string type = 4;
- clearType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional string type = 4;
- clearUtter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 utter = 18;
- clearUtterance() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The utterance tag used in dcoref
- clearValue() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string value = 2;
- clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
string value = 3;
- clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated string value = 2;
- clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string value = 2;
- clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
optional string value = 2;
- clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional string value = 1;
- clearValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's 'value', (e.g., parse tree node)
- clearVariableMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- clearVariables() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- clearWikipediaEntity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string wikipediaEntity = 8;
- clearWikipediaEntity() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string wikipediaEntity = 37;
- clearWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
required string word = 1;
- clearWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
required string word = 1;
- clearWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Fields set by the default annotators [new CoreNLP(new Properties())]
- clearWords() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- clearWords() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- clearXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- clearXmlDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
xml information
- clearXmlTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
- clearXpos() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
optional string xpos = 2;
- clearXpos() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
optional string xpos = 2;
- clearYieldBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
optional uint32 yieldBeginIndex = 3;
- clearYieldEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
optional uint32 yieldEndIndex = 4;
- Clique - Class in edu.stanford.nlp.sequences
-
This class is meant to represent a clique in a (directed
or undirected) linear-chain graphical model.
- cliqueC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2Cp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2Cp3Cp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliqueCpCp2Cp3Cp4Cp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
-
- cliquePotentialFunc - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- CliquePotentialFunction - Interface in edu.stanford.nlp.ie.crf
-
- CliqueTemplates - Class in edu.stanford.nlp.ie.pascal
-
Template information and counters corresponding to sampling on one document.
- CliqueTemplates() - Constructor for class edu.stanford.nlp.ie.pascal.CliqueTemplates
-
- CliqueTree - Class in edu.stanford.nlp.loglinear.inference
-
Created on 8/11/15.
- CliqueTree(GraphicalModel, ConcatVector) - Constructor for class edu.stanford.nlp.loglinear.inference.CliqueTree
-
Create an Inference object for a given set of weights, and a model.
- CliqueTree.MarginalResult - Class in edu.stanford.nlp.loglinear.inference
-
Little data structure for passing around the results of marginal computations.
- clone() - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- clone() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- clone() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- clone() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- clone() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- clone() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- clone() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- clone() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- clone() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
-
- clone() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRelationship
-
- clone() - Method in class edu.stanford.nlp.stats.IntCounter
-
- clone() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns a clone of this priority queue.
- clone() - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns a shallow copy of this IdentityHashSet
instance:
the elements themselves are not cloned.
- cloneArray() - Method in class edu.stanford.nlp.loglinear.model.NDArray
-
Clones the table, but keeps the values by reference.
- cloneFactor() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel.Factor
-
Duplicates this factor.
- cloneModel() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel
-
The point here is to allow us to save a copy of the model with a current set of factors and metadata mappings,
which can come in super handy with gameplaying applications.
- cloneTable() - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorTable
-
Clones the table, but keeps the values by reference.
- close() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
-
- close() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
-
- close() - Method in class edu.stanford.nlp.io.ReaderInputStream
-
Closes the Stringreader.
- close() - Method in class edu.stanford.nlp.io.TeeStream
-
- close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
-
- close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
-
- close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
-
- close() - Method in class edu.stanford.nlp.pipeline.AnnotationIterator
-
- close() - Method in class edu.stanford.nlp.trees.FilteringTreeReader
-
Close the Reader behind this TreeReader
.
- close() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- close() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishXMLTreeReader
-
- close() - Method in class edu.stanford.nlp.trees.PennTreeReader
-
Closes the underlying Reader
used to create this
class.
- close() - Method in interface edu.stanford.nlp.trees.TreeReader
-
Close the Reader behind this TreeReader
.
- close() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
-
This is a no-op since Redwood doesn't have this.
- close() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- close() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
-
- closeConnection() - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
-
- CLOSED_CLASS_THRESHOLD - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- closedRuleIterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- closedRuleIteratorByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- closedRuleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- closedRulesByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- closedRulesByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- closeEVALBfiles() - Static method in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
-
- closeFiles() - Method in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
-
- closeIgnoringExceptions(Closeable) - Static method in class edu.stanford.nlp.io.IOUtils
-
Provides an implementation of closing a file for use in a finally block so
you can correctly close a file without even more exception handling stuff.
- CLOSENODE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
-
- closeNodeScope(Node, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- closeNodeScope(Node, boolean) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
-
- closeOutputFiles() - Method in class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset.ArabicTreeDecimatedNormalizer
-
- closest(SUTime.Time, SUTime.Time...) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- ClosestMentionSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.QMSieves
-
Created by mjfang on 7/7/16.
- ClosestMentionSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ClosestMentionSieve
-
- clubNeighboringLabeledWords - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- Cluster(int) - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer.Cluster
-
- Cluster(Clusterer.Cluster) - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer.Cluster
-
- clusterEntityMentions(List<CoreMap>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
-
- Clusterer - Class in edu.stanford.nlp.coref.statistical
-
System for building up coreference clusters incrementally, merging a pair of clusters each step.
- Clusterer() - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer
-
- Clusterer(String) - Constructor for class edu.stanford.nlp.coref.statistical.Clusterer
-
- Clusterer.Cluster - Class in edu.stanford.nlp.coref.statistical
-
- ClustererDataLoader - Class in edu.stanford.nlp.coref.statistical
-
- ClustererDataLoader() - Constructor for class edu.stanford.nlp.coref.statistical.ClustererDataLoader
-
- ClustererDataLoader.ClustererDoc - Class in edu.stanford.nlp.coref.statistical
-
- ClustererDoc(int, Counter<Pair<Integer, Integer>>, Counter<Pair<Integer, Integer>>, Counter<Integer>, Map<Pair<Integer, Integer>, Boolean>, List<List<Integer>>, Map<Integer, String>) - Constructor for class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
-
- clusterID - Variable in class edu.stanford.nlp.coref.data.CorefCluster
-
- clusterID - Variable in class edu.stanford.nlp.dcoref.CorefCluster
-
- CLUSTERING_MODEL_NAME - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- ClusteringCorefAlgorithm - Class in edu.stanford.nlp.coref.statistical
-
Builds up coreference clusters incrementally with agglomerative clustering.
- ClusteringCorefAlgorithm(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.statistical.ClusteringCorefAlgorithm
-
- ClusteringCorefAlgorithm(Properties, Dictionaries, String, String, String, String, String) - Constructor for class edu.stanford.nlp.coref.statistical.ClusteringCorefAlgorithm
-
- clusteringModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
-
- clusteringModelsPath - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- CmdEvaluator - Class in edu.stanford.nlp.optimization
-
Runs a cmdline to evaluate a dataset (assumes cmd takes input from stdin)
- CmdEvaluator() - Constructor for class edu.stanford.nlp.optimization.CmdEvaluator
-
- CMMClassifier<IN extends CoreLabel> - Class in edu.stanford.nlp.ie.ner
-
Does Sequence Classification using a Conditional Markov Model.
- CMMClassifier() - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
-
- CMMClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
-
- CMMClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
-
- CmpToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CNFTransformers - Class in edu.stanford.nlp.parser.lexparser
-
- coarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Use coarser distance (4 bins) in dependency calculations
- coarseDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- coarseDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- CoarseNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseNamedEntityTagAnnotation
-
- COARSENER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- COARSETAG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
-
- CodepointCoreLabelProcessor - Class in edu.stanford.nlp.process
-
Processor to add codepoint counts to tokens
In general this will be the same as the character offsets, but
certain fancy characters such as 𝒚̂𝒊 will change that.
- CodepointCoreLabelProcessor() - Constructor for class edu.stanford.nlp.process.CodepointCoreLabelProcessor
-
- CODEPOINTOFFSETBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CodepointOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetBeginAnnotation
-
- CODEPOINTOFFSETEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CodepointOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CodepointOffsetEndAnnotation
-
- COLLAPSE_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
-
- collapseApproximate - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Collapse records in a heuristic way to make reading easier.
- collapseCompounds(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.SemanticGraphEnhancer
-
- COLLAPSED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Deprecated.
- COLLAPSEDCCPROCESSEDDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- CollapsedCCProcessedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
-
Deprecated.
- COLLAPSEDDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- CollapsedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
-
Deprecated.
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies.
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively modify the Collection<TypedDependency>
to collapse
language-dependent transitive dependencies.
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
-
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
-
- collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies or
by adding additional information from the dependents to the relation
of the governor.
- collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively modify the Collection<TypedDependency>
to collapse
language-dependent transitive dependencies but keeping a tree structure.
- collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- collapseExact - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Collapse records which are duplicates into a single message, followed by a message detailing how many times
it was repeated.
- collapseNERLabels(List<CoreLabel>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Currently this populates a
List<CoreLabel>
with words from the passed List,
but NER entities are collapsed and
CoreLabel
constituents of entities have
NER information in their "quantity" fields.
- collapseParticles(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.SemanticGraphEnhancer
-
Collapses verbs with verbal particles.
- collapseRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
collapse the "ref" edges
- collapseReferent(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
- CollapseSubtree - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
Collapses a subtree into a single node.
- CollapseSubtree(String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CollapseSubtree
-
- CollapseUnaryTransformer - Class in edu.stanford.nlp.sentiment
-
This transformer collapses chains of unary nodes so that the top
node is the only node left.
- CollapseUnaryTransformer() - Constructor for class edu.stanford.nlp.sentiment.CollapseUnaryTransformer
-
- collapseWhCategories - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Collapse WHPP with PP, etc., in training and perhaps in evaluation.
- collectionAcceptFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionAcceptFilter accepts a certain collection.
- collectionAcceptFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionAcceptFilter accepts a certain collection.
- CollectionFactory<T> - Class in edu.stanford.nlp.util
-
Factory for vending Collections.
- CollectionFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory
-
- CollectionFactory.ArrayListFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
-
- CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
-
- collectionRejectFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionRejectFilter rejects a certain collection.
- collectionRejectFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
-
The collectionRejectFilter rejects a certain collection.
- CollectionUtils - Class in edu.stanford.nlp.util
-
Collection of useful static methods for working with Collections.
- CollectionValuedMap<K,V> - Class in edu.stanford.nlp.util
-
Map from keys to Collection
s.
- CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new empty CollectionValuedMap.
- CollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new CollectionValuedMap with all of the mappings from cvm.
- CollectionValuedMap() - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
- CollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map.
- collectionValuedTrieMap() - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapUtils
-
- collectionValuedTrieMap(CollectionFactory<V>) - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapUtils
-
- collectOperations(List<TsurgeonPattern>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
-
Collects a list of operation patterns into a sequence of operations to be applied.
- collectSamples(SequenceModel, int, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
- collectSamples(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
the tree transformer used to produce trees for evaluation.
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
The collinizer eliminates punctuation
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Returns a ChineseCollinizer
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
The tree transformer used to produce trees for evaluation.
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams
-
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
returns a NegraPennCollinizer
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- collinizer() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
The tree transformer applied to trees prior to evaluation.
- collinizer() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
the tree transformer used to produce trees for evaluation.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Stand-in collinizer does nothing to the tree.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Returns a ChineseCollinizer that doesn't delete punctuation
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
Stand-in collinizer does nothing to the tree.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams
-
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
returns a NegraPennCollinizer
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- collinizerEvalb() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
the tree transformer used to produce trees for evaluation.
- collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
-
- CollinsDependency - Class in edu.stanford.nlp.trees
-
Extracts bilexical dependencies from Penn Treebank-style phrase structure trees
as described in (Collins, 1999) and the later Comp.
- CollinsDependency(CoreLabel, CoreLabel, CollinsRelation) - Constructor for class edu.stanford.nlp.trees.CollinsDependency
-
Modifier must have IndexAnnotation.
- CollinsDepEval - Class in edu.stanford.nlp.parser.metrics
-
Compute P/R/F1 for the dependency representation of Collins (1999; 2003).
- CollinsDepEval(String, boolean, HeadFinder, String) - Constructor for class edu.stanford.nlp.parser.metrics.CollinsDepEval
-
- CollinsHeadFinder - Class in edu.stanford.nlp.trees
-
Implements the HeadFinder found in Michael Collins' 1999 thesis.
- CollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
-
- CollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
-
This constructor provides the traditional behavior, where there is
no special avoidance of punctuation categories.
- CollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
-
- collinsPunc - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Promote/delete punctuation like Collins.
- CollinsPuncTransformer - Class in edu.stanford.nlp.parser.lexparser
-
This class manipulates punctuation in trees (used with training trees)
in the same manner that Collins manipulated punctuation in trees when
building his parsing model.
- CollinsPuncTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
-
- CollinsRelation - Class in edu.stanford.nlp.trees
-
A relation 4-tuple for the dependency representation of Collins (1999; 2003).
- CollinsRelation(String, String, String, CollinsRelation.Direction) - Constructor for class edu.stanford.nlp.trees.CollinsRelation
-
- CollinsRelation.Direction - Enum in edu.stanford.nlp.trees
-
- CollocationFinder - Class in edu.stanford.nlp.trees
-
Finds WordNet collocations in parse trees.
- CollocationFinder(Tree, WordNetConnection) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
-
Construct a new CollocationFinder
over the Tree
t.
- CollocationFinder(Tree, WordNetConnection, HeadFinder) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
-
Construct a new CollocationFinder
over the Tree
t.
- Color - Enum in edu.stanford.nlp.util.logging
-
ANSI supported colors.
- colorChannel(String, Color) - Method in class edu.stanford.nlp.util.logging.OutputHandler
-
Color the tag for a particular channel this color
- colorToHTML(Color) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
-
- colorToHTML(Color) - Static method in class edu.stanford.nlp.ie.NERGUI
-
- columnCount - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- columnData(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Annotate with the column data classifier.
- ColumnDataClassifier - Class in edu.stanford.nlp.classify
-
ColumnDataClassifier provides a command-line interface for doing
context-free (independent) classification of a series of data items,
where each data item is represented by a line of
a file, as a list of String variables, in tab-separated columns.
- ColumnDataClassifier(String) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
-
Construct a ColumnDataClassifier.
- ColumnDataClassifier(Properties) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
-
Construct a ColumnDataClassifier.
- ColumnDataClassifier(Pair<ColumnDataClassifier.Flags[], Classifier<String, String>>) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
-
Construct a ColumnDataClassifier.
- ColumnDataClassifierAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
-
- ColumnDataClassifierAnnotator - Class in edu.stanford.nlp.pipeline
-
This annotator takes a properties file that was used to
train a ColumnDataClassifier and creates an annotator that
classifies the text by loading the classifier and running it.
- ColumnDataClassifierAnnotator(String) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
-
- ColumnDataClassifierAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
-
- ColumnDataClassifierAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
-
- ColumnDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
-
DocumentReader for column format.
- ColumnDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
-
- columnNamesArray() - Static method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.HistoryEntry
-
- columnStringToObject(Class, String, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Converts a tab delimited string into an object with given fields
Requires the object has setXxx functions for the specified fields
- columnStringToObject(Class<?>, String, Pattern, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
-
Converts a tab delimited string into an object with given fields
Requires the object has public access for the specified fields
- ColumnTabDocumentReaderWriter<IN extends CoreMap> - Class in edu.stanford.nlp.sequences
-
Version of ColumnDocumentReaderAndWriter that doesn't read in entire file and
stores it in memory before parsing it.
- ColumnTabDocumentReaderWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
-
- CombinationFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
-
Combines multiple feature factories into one feature factory
- CombinationFeatureFactory(FeatureFactory[]) - Constructor for class edu.stanford.nlp.parser.shiftreduce.CombinationFeatureFactory
-
- combinationMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- combinatorialNeighborStatesCount() - Method in class edu.stanford.nlp.loglinear.model.NDArray
-
- combinatorialNeighborStatesCount() - Method in class edu.stanford.nlp.loglinear.model.NDArrayDoubles
-
- combine(CRFClassifier<IN>, double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Combines weighted crf with this crf.
- combine(Edge, Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- combine(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- combine(double, double) - Method in class edu.stanford.nlp.util.EditDistance
-
- combine2DArr(double[][], double[][], double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combine2DArr(double[][], double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combine2DArr(double[][], Map<Integer, double[]>) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combine2DArr(double[][], Map<Integer, double[]>, double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- combineAndScaleLopWeights(int, double[][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- combineAndScaleLopWeights2D(int, double[][][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- combineClassification - Variable in class edu.stanford.nlp.sentiment.RNNOptions
-
If this option is true, then the binary and unary classification
matrices are combined.
- CombinedDVModelReranker - Class in edu.stanford.nlp.parser.dvparser
-
- CombinedDVModelReranker(Options, List<DVModel>) - Constructor for class edu.stanford.nlp.parser.dvparser.CombinedDVModelReranker
-
- CombinedDVModelReranker.Query - Class in edu.stanford.nlp.parser.dvparser
-
- CombinedEvaluator(double) - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils.CombinedEvaluator
-
- CombineDVModels - Class in edu.stanford.nlp.parser.dvparser
-
This class combines multiple DVParsers into one by adding their
scores.
- CombineDVModels() - Constructor for class edu.stanford.nlp.parser.dvparser.CombineDVModels
-
- combineMoreGeneralFields(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- combineMoreGeneralFields(Partial, Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- CombineMWT - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
Combines two or more words into one MWT
For the most part, the nodes themselves are unchanged, but the
nodes now have the CoreAnnotations representing MWTness added
This is a convenience operation which exists because the basic
version of it using EditNode is a bit of a pain
- CombineMWT(List<String>, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CombineMWT
-
- combineMWTs(SemanticGraph) - Method in class edu.stanford.nlp.trees.ud.EnglishMWTCombiner
-
- combineObjectRoles(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- combineSegmentedSentence(List<CoreLabel>, SeqClassifierFlags) - Static method in class edu.stanford.nlp.wordseg.ChineseStringUtils
-
- combo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- COMMA - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- CommandLineTokenizer - Class in edu.stanford.nlp.util
-
A utility class to parse a command line contained in a single String into
an array of argument tokens, much as the JVM (or more accurately, your
operating system) does before calling your programs' public static
void main(String[] args)
methods.
- COMMENT_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
patterns to match in CoNLL-U file
- COMMENTS - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- commonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Return the maximum distance to a least common ancestor.
- commonSpeechWords - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
-
- CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
-
- commonWordsPatternFiles - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
Words to be ignored when learning phrases if
removePhrasesWithStopWords
or
removeStopWordsFromSelectedPhrases
is true.
- commonWordTagTypeBrackets(Tree, Tree) - Static method in class edu.stanford.nlp.trees.TreeToBracketProcessor
-
- communicateWithNERServer(String, int, String) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
-
- communicateWithNERServer(String, int, String, BufferedReader, BufferedWriter, boolean) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
-
- compact() - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Reduces memory consumption to the minimum for representing the values
currently stored stored in this object.
- compactFA(TransducerGraph) - Method in interface edu.stanford.nlp.fsm.AutomatonCompactor
-
- compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Map<String, List<List<String>>>, Map<String, List<List<String>>>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
Compacts the grammar specified by the Pair.
- compactGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How to compact grammars as FSMs.
- compactGrammar() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- ComparableComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
-
- Comparators - Class in edu.stanford.nlp.util
-
- compare(CorefChain.CorefMention, CorefChain.CorefMention) - Method in class edu.stanford.nlp.coref.data.CorefChain.CorefMentionComparator
-
- compare(Mention, Mention) - Method in class edu.stanford.nlp.coref.data.CorefChain.MentionComparator
-
- compare(CorefChain.CorefMention, CorefChain.CorefMention) - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMentionComparator
-
- compare(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.CorefChain.MentionComparator
-
- compare(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.LongestStringComparator
-
- compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
-
- compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- compare(Number, Number) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericComparator
-
- compare(Class, Class) - Method in class edu.stanford.nlp.patterns.surface.Token.ClassComparator
-
- compare(Tree, Tree) - Method in class edu.stanford.nlp.trees.TreeLengthComparator
-
Compare the two objects.
- compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUFeatures.FeatureNameComparator
-
- compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUFeatures.LowercaseComparator
-
- compare(String, String) - Method in class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
-
- compare(V1, V2) - Method in interface edu.stanford.nlp.util.Iterables.IncrementComparator
-
Returns -1 if the value of a should come before the value of b,
+1 if the value of b should come before the value of a, or 0 if
the two should be merged together.
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstPairComparator
-
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
-
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondPairComparator
-
- compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
-
- compare(Scored, Scored) - Method in class edu.stanford.nlp.util.ScoredComparator
-
- compareAndSet(double, double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Atomically sets the value to the given updated value
if the current value is
bitwise equal
to the expected value.
- compareArrays(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Provides a consistent ordering over arrays.
- compareBooleanArrays(boolean[], boolean[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- CompareFunction(String, Comparator<T>, ValueFunctions.CompareType, Class) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- compareIntervalOrder(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Returns order of another interval compared to this one
- compareLists(List<T>, List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Provides a consistent ordering over lists.
- compareTo(RelationTriple) - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
- compareTo(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord
-
NOTE: For this compareTo, you must have a DocIDAnnotation,
SentenceIndexAnnotation, and IndexAnnotation for it to make sense and
be guaranteed to work properly.
- compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel
-
Orders by value()
's lexicographic ordering.
- compareTo(WordLemmaTag) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Orders first by word, then by lemma, then by tag.
- compareTo(WordTag) - Method in class edu.stanford.nlp.ling.WordTag
-
Orders first by word, then by tag.
- compareTo(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
-
- compareTo(HTKLatticeReader.LatticeWord) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
-
- compareTo(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- compareTo(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
-
- compareTo(Object) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- compareTo(Object) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables.ScorePhraseMeasures
-
- compareTo(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- compareTo(SceneGraphNode) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
-
- compareTo(SceneGraphRelation) - Method in class edu.stanford.nlp.scenegraph.SceneGraphRelation
-
- compareTo(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
Compares SemanticGraphEdges.
- compareTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- compareTo(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- compareTo(TypedDependency) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- compareTo(IntTuple) - Method in class edu.stanford.nlp.util.IntTuple
-
- compareTo(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble
-
Compares two MutableDouble
objects numerically.
- compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger
-
Compares two MutableInteger
objects numerically.
- compareTo(MutableLong) - Method in class edu.stanford.nlp.util.MutableLong
-
Compares two MutableLong
objects numerically.
- compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair
-
Compares this Pair
to another object.
- compareTo(Quadruple<T1, T2, T3, T4>) - Method in class edu.stanford.nlp.util.Quadruple
-
- compareTo(Quintuple<T1, T2, T3, T4, T5>) - Method in class edu.stanford.nlp.util.Quintuple
-
- compareTo(Triple<T1, T2, T3>) - Method in class edu.stanford.nlp.util.Triple
-
- compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.UnorderedPair
-
- compatibleWith(Language) - Method in enum edu.stanford.nlp.international.Language
-
Returns whether these two languages can be considered compatible with each other.
- compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- compile(String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a regular expression over tokens into a TokenSequencePattern
using the default environment.
- compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a regular expression over tokens into a TokenSequencePattern
using the specified environment.
- compile(String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a sequence of regular expressions into a TokenSequencePattern
using the default environment.
- compile(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a sequence of regular expressions into a TokenSequencePattern
using the specified environment.
- compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Compiles a PatternExpr into a TokenSequencePattern.
- compile(String, Env) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
Creates a pattern from the given string.
- compile(String) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- compile(String) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
-
Creates a pattern from the given string using the default HeadFinder and
BasicCategoryFunction.
- compile(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
Create a TregexPattern from this tregex string using the headFinder and
basicCat function this TregexPatternCompiler was created with.
- compileAnnotations(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
- compileStream(InputStream) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexBatchParser
-
- compileStream(InputStream, Env) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexBatchParser
-
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "complement" grammatical relation.
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "comp" grammatical relation.
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "complement" (comp) grammatical relation.
- COMPLEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "complement" grammatical relation.
- COMPLEMENTIZER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "cp marker" grammatical relation.
- ComplexNodePattern<M,K> - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching a complex data structure
- ComplexNodePattern(BiFunction<M, K, Object>, List<Pair<K, NodePattern>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- ComplexNodePattern(BiFunction<M, K, Object>, Pair<K, NodePattern>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- ComplexNodePattern(BiFunction<M, K, Object>, K, NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- ComplexNodePattern.AbstractStringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.AttributesEqualMatchChecker<K> - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.IntegerAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.NilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.NotNilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.NumericAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.SequenceRegexPattern<T> - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.StringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.StringAnnotationRegexPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- ComplexNodePattern.StringInSetAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
-
- COMPONENT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
- compose(Function<T1, T2>, Function<? super T2, T3>) - Static method in class edu.stanford.nlp.util.Functions
-
Returns the Function
g o f.
- compose(Map<X, Y>, Map<Y, Z>) - Static method in class edu.stanford.nlp.util.Maps
-
Compose two maps map1:x->y and map2:y->z to get a map x->z
- COMPOSITE_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- COMPOSITE_KEYS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- COMPOSITE_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- COMPOSITE_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- CompositeExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
-
- CompositeFieldValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CompositePartialTime(SUTime.PartialTime, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- CompositePartialTime(SUTime.PartialTime, Partial, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- CompositeTreebank - Class in edu.stanford.nlp.trees
-
- CompositeTreebank(Treebank, Treebank) - Constructor for class edu.stanford.nlp.trees.CompositeTreebank
-
- CompositeTreeTransformer - Class in edu.stanford.nlp.trees
-
A TreeTransformer that applies component TreeTransformers in order.
- CompositeTreeTransformer() - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- CompositeTreeTransformer(List<TreeTransformer>) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- CompositeTreeTransformer(TreeTransformer...) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- CompositeValue(String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- CompositeValue(Map<String, Expression>, boolean, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "compound" grammatical relation (abstract).
- COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "compound modifier" grammatical relation.
- CompoundLemmaAnnotation() - Constructor for class edu.stanford.nlp.scenegraph.SceneGraphCoreAnnotations.CompoundLemmaAnnotation
-
- compoundUnaries - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
-
- CompoundUnaryTransition - Class in edu.stanford.nlp.parser.shiftreduce
-
Transition that makes a compound unary parse node in a partially
finished tree.
- CompoundUnaryTransition(List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
-
- CompoundWordAnnotation() - Constructor for class edu.stanford.nlp.scenegraph.SceneGraphCoreAnnotations.CompoundWordAnnotation
-
- compress(Counter<K>) - Method in class edu.stanford.nlp.coref.statistical.Compressor
-
- CompressedFeatureVector - Class in edu.stanford.nlp.coref.statistical
-
- CompressedFeatureVector(List<Integer>, List<Double>) - Constructor for class edu.stanford.nlp.coref.statistical.CompressedFeatureVector
-
- Compressor<K> - Class in edu.stanford.nlp.coref.statistical
-
Converts a
Counter<K>
to a
CompressedFeatureVector
(i.e., parallel lists of integer
keys and double values), which takes up much less memory.
- Compressor() - Constructor for class edu.stanford.nlp.coref.statistical.Compressor
-
- compressorFile - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- compute(double[], double[]) - Method in class edu.stanford.nlp.classify.LogPrior
-
Adjust the given grad array by adding the prior's gradient component
and return the value of the logPrior
- compute(Boolean...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- compute(Number...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- compute(String...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- compute() - Method in class edu.stanford.nlp.util.Lazy
-
Compute the value of this lazy.
- computeAccuracy(Stream<Pair<KBPRelationExtractor.KBPInput, String>>, Optional<PrintStream>) - Method in interface edu.stanford.nlp.ie.KBPRelationExtractor
-
- computeAllPatterns - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
If all patterns should be computed.
- computeAverage(ToDoubleFunction<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>>) - Method in class edu.stanford.nlp.classify.CrossValidator
-
This computes the average over all folds of the function we're trying to optimize.
- computeCliquePotential(int, int, int[], double[], int) - Method in interface edu.stanford.nlp.ie.crf.CliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.LinearCliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NoisyLabelLinearCliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearCliquePotentialFunction
-
- computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearSecondOrderCliquePotentialFunction
-
- computeCostFunction(int, double, double) - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
Determine the total cost on the dataset associated with this
classifier using the current learned parameters.
- computeFeatSimilarity - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- computeFinalValues() - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
-
- computeInputPrior(Map<String, List<List<String>>>) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- computeLambda(TransducerGraph) - Static method in class edu.stanford.nlp.fsm.QuasiDeterminizer
-
Takes time linear in number of arcs.
- computeProb(PascalTemplate) - Method in interface edu.stanford.nlp.ie.pascal.RelationalModel
-
- computeRawFreqIfNull(int, boolean) - Static method in class edu.stanford.nlp.patterns.Data
-
- computeRawFreqIfNull(Map<String, DataInstance>, int) - Static method in class edu.stanford.nlp.patterns.Data
-
- computeStochastic(double[], double[], double) - Method in class edu.stanford.nlp.classify.LogPrior
-
- CONCAT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
-
- CONCAT_COREMAP - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- CONCAT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- CONCAT_TEXT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- CONCAT_TOKENS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- ConcatAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
-
- ConcatCoreMapListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
-
- ConcatCoreMapListAggregator(boolean) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
-
- concatenate(SimpleMatrix...) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Concatenates several column vectors into one large column vector
- concatenate(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Concatenates two arrays and returns the result
- concatenateTypes(String, String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
Concatenates two types
- concatenateWithBias(SimpleMatrix...) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Concatenates several column vectors into one large column
vector, adds a 1.0 at the end as a bias term
- ConcatenationIterator<T> - Class in edu.stanford.nlp.util
-
Iterator that represents the concatenation of two other iterators.
- ConcatenationIterator(Iterator<T>, Iterator<T>) - Constructor for class edu.stanford.nlp.util.ConcatenationIterator
-
- concatIterators(Iterator<E>...) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Concatenate a number of iterators together, to form one big iterator.
- ConcatListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
-
- ConcatTextAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatTextAggregator
-
- ConcatVector - Class in edu.stanford.nlp.loglinear.model
-
Created on 12/7/14.
- ConcatVector(int) - Constructor for class edu.stanford.nlp.loglinear.model.ConcatVector
-
Constructor that initializes space for this concat vector.
- ConcatVectorBenchmark - Class in edu.stanford.nlp.loglinear.benchmarks
-
- ConcatVectorBenchmark() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark
-
- ConcatVectorBenchmark.ConcatVectorConstructionRecord - Class in edu.stanford.nlp.loglinear.benchmarks
-
- ConcatVectorConstructionRecord(Random) - Constructor for class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark.ConcatVectorConstructionRecord
-
- ConcatVectorConstructionRecord(Random, int[]) - Constructor for class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark.ConcatVectorConstructionRecord
-
- ConcatVectorNamespace - Class in edu.stanford.nlp.loglinear.model
-
Created on 10/20/15.
- ConcatVectorNamespace() - Constructor for class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace
-
- ConcatVectorProto - Class in edu.stanford.nlp.loglinear.model.proto
-
- ConcatVectorProto.ConcatVector - Class in edu.stanford.nlp.loglinear.model.proto
-
Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector
- ConcatVectorProto.ConcatVector.Builder - Class in edu.stanford.nlp.loglinear.model.proto
-
Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector
- ConcatVectorProto.ConcatVector.Component - Class in edu.stanford.nlp.loglinear.model.proto
-
Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component
- ConcatVectorProto.ConcatVector.Component.Builder - Class in edu.stanford.nlp.loglinear.model.proto
-
Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component
- ConcatVectorProto.ConcatVector.ComponentOrBuilder - Interface in edu.stanford.nlp.loglinear.model.proto
-
- ConcatVectorProto.ConcatVectorOrBuilder - Interface in edu.stanford.nlp.loglinear.model.proto
-
- ConcatVectorTable - Class in edu.stanford.nlp.loglinear.model
-
Created on 8/9/15.
- ConcatVectorTable(int[]) - Constructor for class edu.stanford.nlp.loglinear.model.ConcatVectorTable
-
Constructor takes a list of neighbor variables to use for this factor.
- ConcatVectorTableProto - Class in edu.stanford.nlp.loglinear.model.proto
-
- ConcatVectorTableProto.ConcatVectorTable - Class in edu.stanford.nlp.loglinear.model.proto
-
Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable
- ConcatVectorTableProto.ConcatVectorTable.Builder - Class in edu.stanford.nlp.loglinear.model.proto
-
Protobuf type edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable
- ConcatVectorTableProto.ConcatVectorTableOrBuilder - Interface in edu.stanford.nlp.loglinear.model.proto
-
- CONCURRENT_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
-
- ConcurrentHashCounter<E> - Class in edu.stanford.nlp.util.concurrent
-
A threadsafe counter implemented as a lightweight wrapper around a
ConcurrentHashMap.
- ConcurrentHashCounter() - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- ConcurrentHashCounter(int) - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- ConcurrentHashIndex<E> - Class in edu.stanford.nlp.util.concurrent
-
A fast threadsafe index that supports constant-time lookup in both directions.
- ConcurrentHashIndex() - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
Constructor.
- ConcurrentHashIndex(int) - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
Constructor.
- CONDENSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- CondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CondGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- ConditionalExpression(Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- ConditionalExpression(String, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- conditionalize(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
returns a GeneralizedCounter conditioned on the objects in the
List
argument.
- conditionalizeOnce(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns a GeneralizedCounter conditioned on the given top level object.
- conditionalLogProb(int[], int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- conditionalLogProbGivenFirst(int, int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probability of the sequence OF being at the end of the table
given that the first tag in table is GIVEN.
- conditionalLogProbGivenNext(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probability of the tag OF being at the beginning of the table
given that the tag sequence GIVEN is at the end of the table.
- conditionalLogProbGivenPrevious(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probability of the tag OF being at the end of the table given
that the previous tag sequence in table is GIVEN.
- conditionalLogProbsGivenPrevious(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
Computes the probabilities of the tag at the end of the table given that
the previous tag sequence in table is GIVEN.
- conditionalSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- condLogProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Gives the probability of a tag at a single position conditioned on a
sequence of previous labels.
- condLogProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenNext(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenNext(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenPrevious(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condLogProbsGivenPrevious(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- condProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- confidence - Variable in class edu.stanford.nlp.ie.util.RelationTriple
-
An optional score (confidence) for this triple
- CONFIDENCE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
- confidenceGloss() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
A textual representation of the confidence.
- confidenceWeightedAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- Config - Class in edu.stanford.nlp.parser.nndep
-
Defines configuration settings for training and testing the
neural-network dependency parser.
- Config(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.Config
-
- ConfigParser - Class in edu.stanford.nlp.trees.treebank
-
- ConfigParser(String) - Constructor for class edu.stanford.nlp.trees.treebank.ConfigParser
-
- Configuration - Class in edu.stanford.nlp.parser.nndep
-
Describe the current configuration of a parser (i.e., parser state).
- Configuration(Configuration) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
-
- Configuration(CoreMap) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
-
- configuredOptions - Variable in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
-
- configuredOptions - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- confusion - Variable in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
-
- confusionMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ConfusionMatrix<U> - Class in edu.stanford.nlp.util
-
This implements a confusion table over arbitrary types of class labels.
- ConfusionMatrix() - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
-
- ConfusionMatrix(Locale) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
-
- ConfusionMatrix.Contingency - Class in edu.stanford.nlp.util
-
Contingency table, listing precision ,recall, specificity, and f1 given
the number of true and false positives, true and false negatives.
- ConfusionMatrixTSV - Class in edu.stanford.nlp.international.spanish.scripts
-
- ConfusionMatrixTSV() - Constructor for class edu.stanford.nlp.international.spanish.scripts.ConfusionMatrixTSV
-
- ConjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
-
- ConjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
-
- ConjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
-
- conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- conjugateEnglish(String, boolean) - Method in enum edu.stanford.nlp.naturalli.VerbTense
-
Apply this tense to the given verb.
- conjugateEnglish(String) - Method in enum edu.stanford.nlp.naturalli.VerbTense
-
- conjugateEnglish(CoreLabel, boolean) - Method in enum edu.stanford.nlp.naturalli.VerbTense
-
- conjugateEnglish(CoreLabel) - Method in enum edu.stanford.nlp.naturalli.VerbTense
-
- ConjugatePrior<T extends ProbabilityDistribution<E>,E> - Interface in edu.stanford.nlp.stats
-
An interface for classes which are probability distributions over other probability distributions.
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "conjunct" grammatical relation.
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "conjunct" grammatical relation.
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "conjunct" (conj) grammatical relation.
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CONJUNCT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "conjunct" grammatical relation.
- conjunctionFileFilter(FileFilter, FileFilter) - Static method in class edu.stanford.nlp.io.FileFilters
-
- conll(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
When conll() is true, the neural and statistical (but not fastneural) coref models:
Use provided POS, NER, Parsing, etc.
- CONLL2011_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- CoNLL2011DocumentReader - Class in edu.stanford.nlp.dcoref
-
Read _conll file format from CoNLL2011.
- CoNLL2011DocumentReader(String) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
-
- CoNLL2011DocumentReader(String, CoNLL2011DocumentReader.Options) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
-
- CoNLL2011DocumentReader.CorefMentionAnnotation - Class in edu.stanford.nlp.dcoref
-
- CoNLL2011DocumentReader.CorpusStats - Class in edu.stanford.nlp.dcoref
-
- CoNLL2011DocumentReader.Document - Class in edu.stanford.nlp.dcoref
-
- CoNLL2011DocumentReader.NamedEntityAnnotation - Class in edu.stanford.nlp.dcoref
-
- CoNLL2011DocumentReader.Options - Class in edu.stanford.nlp.dcoref
-
Flags
- CONLL_OUTPUT_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- CONLL_SCORER - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- CoNLLBenchmark - Class in edu.stanford.nlp.loglinear.benchmarks
-
Created on 8/26/15.
- CoNLLBenchmark() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark
-
- CoNLLBenchmark.CoNLLSentence - Class in edu.stanford.nlp.loglinear.benchmarks
-
- CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
-
- CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
-
- CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
-
- conllDoc - Variable in class edu.stanford.nlp.coref.data.Document
-
for conll shared task 2011
- conllDoc - Variable in class edu.stanford.nlp.coref.data.InputDoc
-
optional for CoNLL document
- conllDoc - Variable in class edu.stanford.nlp.dcoref.Document
-
for conll shared task 2011
- CoNLLDocument() - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
-
- CoNLLDocumentReader - Class in edu.stanford.nlp.coref.docreader
-
Read _conll file format from CoNLL2011.
- CoNLLDocumentReader(String) - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
-
- CoNLLDocumentReader(String, CoNLLDocumentReader.Options) - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
-
- CoNLLDocumentReader.CoNLLDocument - Class in edu.stanford.nlp.coref.docreader
-
- CoNLLDocumentReader.CorefMentionAnnotation - Class in edu.stanford.nlp.coref.docreader
-
- CoNLLDocumentReader.CorpusStats - Class in edu.stanford.nlp.coref.docreader
-
- CoNLLDocumentReader.NamedEntityAnnotation - Class in edu.stanford.nlp.coref.docreader
-
- CoNLLDocumentReader.Options - Class in edu.stanford.nlp.coref.docreader
-
Flags
- CoNLLDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
-
DocumentReader for the original CoNLL 03 format.
- CoNLLDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
- CoNLLFeaturizer - Class in edu.stanford.nlp.loglinear.benchmarks
-
Created on 10/23/15.
- CoNLLFeaturizer() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.CoNLLFeaturizer
-
- conllMentionEvalScript - Static variable in class edu.stanford.nlp.dcoref.Constants
-
Default path for conll scorer script
- conllMentionEvalScript - Variable in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
Path for the official CoNLL scorer
- CoNLLMentionExtractor - Class in edu.stanford.nlp.dcoref
-
Extracts coref mentions from CoNLL2011 data files.
- CoNLLMentionExtractor(Dictionaries, Properties, Semantics) - Constructor for class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
-
- CoNLLMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) - Constructor for class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
-
- conllOutputPath(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- CoNLLOutputter - Class in edu.stanford.nlp.pipeline
-
Write a subset of our CoreNLP output in CoNLL format.
- CoNLLOutputter() - Constructor for class edu.stanford.nlp.pipeline.CoNLLOutputter
-
- CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
-
- conllPrint(Annotation, OutputStream) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
-
- conllPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
-
- conllPrint(Annotation, OutputStream, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
-
- conllPrint(Annotation, Writer) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Displays the output of many annotators in CoNLL format.
- CoNLLSentence(List<String>, List<String>, List<String>, List<String>) - Constructor for class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark.CoNLLSentence
-
- CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
-
- CoNLLU_GovField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_IndexField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
field constants
- CoNLLU_LemmaField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_MiscField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_RelnField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_UPOSField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_WordField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLU_XPOSField - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLUDocument() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
- CoNLLUDocumentReader - Class in edu.stanford.nlp.trees.ud
-
Reader for ConLL-U formatted dependency treebanks.
- CoNLLUDocumentReader() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
-
- CoNLLUDocumentReader(Language) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
-
- CoNLLUDocumentWriter - Class in edu.stanford.nlp.trees.ud
-
- CoNLLUDocumentWriter() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUDocumentWriter
-
- CoNLLUFeats() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUFeats
-
- CoNLLUFeatures - Class in edu.stanford.nlp.trees.ud
-
A subclass of TreeMap with a toString() that looks like a CoNLLUFeatures
and a method for extracting the features from a CoNLLU string
This is a TreeMap so that the features are sorted by their key,
which is necessary for the CoNLLU format
- CoNLLUFeatures(String) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUFeatures
-
Parses the value of the feature column in a CoNLL-U file
and returns them in a HashMap with the feature names as keys
and the feature values as values.
- CoNLLUFeatures(Map<String, String>) - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUFeatures
-
- CoNLLUFeatures() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUFeatures
-
- CoNLLUFeatures.FeatureNameComparator - Class in edu.stanford.nlp.trees.ud
-
- CoNLLUFeatures.LowercaseComparator - Class in edu.stanford.nlp.trees.ud
-
- CONLLUFEATURES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CoNLLUMisc() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUMisc
-
- CONLLUMISC_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CoNLLUOutputter - Class in edu.stanford.nlp.pipeline
-
Write a subset of our CoreNLP output in CoNLL-U format.
- CoNLLUOutputter() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUOutputter
-
- CoNLLUOutputter(String) - Constructor for class edu.stanford.nlp.pipeline.CoNLLUOutputter
-
- CoNLLUOutputter(Properties) - Constructor for class edu.stanford.nlp.pipeline.CoNLLUOutputter
-
- conllUPrint(Annotation, OutputStream) - Static method in class edu.stanford.nlp.pipeline.CoNLLUOutputter
-
- conllUPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.CoNLLUOutputter
-
- conllUPrint(Annotation, OutputStream, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.CoNLLUOutputter
-
- CoNLLUReader - Class in edu.stanford.nlp.pipeline
-
A class for reading in CoNLL-U data and creating Annotations.
- CoNLLUReader() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLUReader(Properties) - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader
-
- CoNLLUReader.CoNLLUDocument - Class in edu.stanford.nlp.pipeline
-
class to store info for a CoNLL-U document
- CoNLLUReader.CoNLLUSentence - Class in edu.stanford.nlp.pipeline
-
class to store info for a CoNLL-U sentence
- CONLLUSECONDARYDEPS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CoNLLUSecondaryDepsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUSecondaryDepsAnnotation
-
- CoNLLUSentence() - Constructor for class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
- CoNLLUTagUpdater - Class in edu.stanford.nlp.trees.ud
-
Load a CoNLL-U file, retag it using the specified tagger, and output back to stdout
- CoNLLUTagUpdater() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUTagUpdater
-
- CONLLUTOKENSPAN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CoNLLUTokenSpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLUTokenSpanAnnotation
-
- CoNLLUUtils - Class in edu.stanford.nlp.trees.ud
-
Utility functions for reading and writing CoNLL-U files.
- CoNLLUUtils() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils
-
- CoNLLUUtils.DepIndexComparator - Class in edu.stanford.nlp.trees.ud
-
- CoNLLX_FieldCount - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_GovField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_POSField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_RelnField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- CoNLLX_WordField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- ConnectedComponents<V,E> - Class in edu.stanford.nlp.graph
-
Finds connected components in the graph, currently uses inefficient list for
variable 'verticesLeft'.
- ConnectedComponents() - Constructor for class edu.stanford.nlp.graph.ConnectedComponents
-
- consistencyCheck - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- console(String, Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils
-
Start a simple console.
- console(Consumer<String>) - Static method in class edu.stanford.nlp.io.IOUtils
-
- constant(double) - Static method in class edu.stanford.nlp.coref.statistical.SimpleLinearClassifier
-
- Constants - Class in edu.stanford.nlp.dcoref
-
- Constants() - Constructor for class edu.stanford.nlp.dcoref.Constants
-
- ConstantsAndVariables - Class in edu.stanford.nlp.patterns
-
- ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- ConstantsAndVariables(Properties, Map<String, Set<CandidatePhrase>>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- ConstantsAndVariables(Properties, String, Class<? extends TypesafeMap.Key<String>>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- ConstantsAndVariables.DataSentsIterator - Class in edu.stanford.nlp.patterns
-
- ConstantsAndVariables.PatternForEachTokenWay - Enum in edu.stanford.nlp.patterns
-
- ConstantsAndVariables.PatternIndexWay - Enum in edu.stanford.nlp.patterns
-
- ConstantsAndVariables.ScorePhraseMeasures - Class in edu.stanford.nlp.patterns
-
- constituencyParse() - Method in class edu.stanford.nlp.pipeline.CoreSentence
-
constituency parse
- constituencyTreePrinter - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
-
How to print a constituency tree for display.
- Constituent - Class in edu.stanford.nlp.trees
-
A Constituent
object defines a generic edge in a graph.
- Constituent() - Constructor for class edu.stanford.nlp.trees.Constituent
-
- ConstituentFactory - Interface in edu.stanford.nlp.trees
-
A ConstituentFactory
is a factory for creating objects
of class Constituent
, or some descendent class.
- constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
-
Return a factory for this kind of constituent.
- constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
-
Return a factory for this kind of constituent.
- constituentFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
Return a factory for this kind of constituent.
- constituentFactory() - Method in class edu.stanford.nlp.trees.Span
-
Return a factory for this kind of constituent.
- constituents() - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory, int) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the Constituents generated by the parse tree.
- constituents(ConstituentFactory, boolean, Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
-
- ConstraintAnnotation() - Constructor for class edu.stanford.nlp.parser.common.ParserAnnotations.ConstraintAnnotation
-
- constraints - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
When you want to force the parser to parse a particular
subsequence into a particular state.
- constructEntityMention(String, CoreMap, Span, Span, String, String, String) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMentionFactory
-
Always use this method to construct EntityMentions
Other factories that inherit from this (e.g., NFLEntityMentionFactory) may override this
- constructRelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>, Counter<String>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMentionFactory
-
Always use this method to construct RelationMentions
Other factories that inherit from this (e.g., NFLRelationFactory) may override this
- constructSentenceRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- constVars - Variable in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- contains(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.AbbreviationMap
-
- contains(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- contains(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns true if this span contains otherSpan.
- contains(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns true if i is inside this span.
- contains(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns true iff this date
contains the date represented by other.
- contains(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- contains(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- contains(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- contains(Word) - Method in class edu.stanford.nlp.process.StopList
-
Returns true if the word is in the stoplist.
- contains(String) - Method in class edu.stanford.nlp.process.StopList
-
Returns true if the word is in the stoplist.
- contains(String) - Method in class edu.stanford.nlp.quoteattribution.Person
-
- contains() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- contains(String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonWordlist
-
- contains(Object) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- contains(SUTime.Range) - Method in class edu.stanford.nlp.time.SUTime.Range
-
Checks if the provided range r is within the current range.
- contains(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Range
-
Checks if the provided time is within the current range.
- contains(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
-
- contains(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
-
Detects whether this constituent contains a constituent, that is
whether they are nested.
- contains(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Returns true iff object o equals (not ==) some element of array a.
- contains(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Returns whether the queue contains the given key.
- contains(Object) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
- contains(Object) - Method in class edu.stanford.nlp.util.DeltaIndex
-
- contains(Object) - Method in class edu.stanford.nlp.util.HashIndex
-
Checks whether an Object already has an index in the Index
- contains(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
-
Returns true if this set contains the specified element.
- contains(Object) - Method in interface edu.stanford.nlp.util.Index
-
- contains(E) - Method in class edu.stanford.nlp.util.Interval
-
Checks whether the point p is contained inside this interval.
- contains(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
- contains(Object) - Method in class edu.stanford.nlp.util.IntervalTree
-
- contains(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- contains(Object) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- contains(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
-
- contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
-
- contains(String) - Method in class edu.stanford.nlp.wordseg.ChineseDictionary
-
- contains(String) - Method in class edu.stanford.nlp.wordseg.CorpusDictionary
-
- CONTAINS_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
-
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
-
Can be slow.
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
-
- containsAll(Collection<?>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- containsAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
-
- containsAny(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
if any item in toCheck is present in collection
- containsEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- containsEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- containsFirstKey(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- containsFuzzy(Set<CandidatePhrase>, CandidatePhrase, int) - Static method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- containsIgnoreCase(Collection<String>, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Convenience method: a case-insensitive variant of Collection.contains.
- containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- containsInterval(T, boolean) - Method in class edu.stanford.nlp.util.IntervalTree
-
- containsInterval(IntervalTree<E, T>, E, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- containsInterval(IntervalTree<E, T>, Interval<E>, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
-
- containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- containsKey(String) - Method in class edu.stanford.nlp.parser.shiftreduce.WeightMap
-
- containsKey(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns whether a Counter contains a key.
- containsKey(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Returns whether a Counter contains a key.
- containsKey(E) - Method in class edu.stanford.nlp.stats.Distribution
-
- containsKey(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Like
ClassicCounter
, this currently returns true if the count is
explicitly 0.0 for something
- containsKey(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
- containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- containsKey(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- containsKey(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Does the word exist in the dictionary?
- containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Returns true if contains the given key.
- containsKey(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- containsKey(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaMap
-
This is more expensive.
- containsKey(U) - Method in class edu.stanford.nlp.util.MapList
-
- containsKey(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap
-
- containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Returns true if contains the given key.
- containsLeftAsKey(L) - Method in class edu.stanford.nlp.util.OneToOneMap
-
- containsLemma(Iterable<? extends HasLemma>, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils
-
- containsMention(Mention) - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
-
- containsMention(Mention) - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
-
- ContainsMessage(String) - Constructor for class edu.stanford.nlp.util.logging.LogFilter.ContainsMessage
-
- containsObject(Collection<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Checks whether a Collection contains a specified Object.
- containsOpen(E) - Method in class edu.stanford.nlp.util.Interval
-
- containsRightAsKey(R) - Method in class edu.stanford.nlp.util.OneToOneMap
-
- containsSentId(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- containsSentId(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
-
- containsValue(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
-
- containsValue(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Unsupported.
- containsValue(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- containsValue(IntervalTree<E, T>, T) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- containsVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- containsVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
-
- containsVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- containsWord(String) - Method in class edu.stanford.nlp.neural.Embedding
-
- containsWord(Iterable<? extends HasWord>, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils
-
- content - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- context - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
Function indicating how to extract an value from annotation built from this expression
- contextIncompatible(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- contextIncompatible(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- contextParseTree - Variable in class edu.stanford.nlp.coref.data.Mention
-
- contextParseTree - Variable in class edu.stanford.nlp.dcoref.Mention
-
- ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
-
- Contingency(int, int, int, int) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix.Contingency
-
- ContinuationSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
-
- continuingInputs() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "xsubj" grammatical relation.
- CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "xsubj" grammatical relation, replaced with "nsubj:xsubj".
- CONTROLLING_CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling clausal passive subject" relation.
- CONTROLLING_CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling clausal subject" relation.
- CONTROLLING_NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CONTROLLING_NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling nominal passive subject" relation.
- CONTROLLING_NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- CONTROLLING_NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "controlling nominal subject" relation.
- ConversationalSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.QMSieves
-
Created by mjfang on 7/7/16.
- ConversationalSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ConversationalSieve
-
- ConversionOptions() - Constructor for class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
-
- CONVERSIONS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
- convert(String) - Static method in class edu.stanford.nlp.util.DataFilePaths
-
- ConvertByteArray - Class in edu.stanford.nlp.util
-
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
- convertCoNLLUDocumentToAnnotation(CoNLLUReader.CoNLLUDocument) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader
-
Convert a CoNLLUDocument into an Annotation
The convention is that a CoNLLU document represents a list of sentences,
one sentence per line, separated by newline.
- convertCoNLLUSentenceToCoreMap(CoNLLUReader.CoNLLUDocument, CoNLLUReader.CoNLLUSentence) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader
-
Convert a list of CoNLL-U token lines into a sentence CoreMap
- convertDataset(List<Tree>, List<List<Tree>>) - Method in class edu.stanford.nlp.parser.metrics.EvaluateExternalParser
-
- ConvertGenderFile - Class in edu.stanford.nlp.dcoref.util
-
This tool converts the gender file from the following:
w1 w2...
- convertGrammarToGraphs(Pair<UnaryGrammar, BinaryGrammar>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- convertGraphsToGrammar(Set<TransducerGraph>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- convertIntermediateGraph(List<CoreLabel>) - Method in class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
-
- convertItemSpan(Item) - Method in interface edu.stanford.nlp.parser.lexparser.LatticeScorer
-
- ConvertMatlabModel - Class in edu.stanford.nlp.sentiment
-
This tool is of very limited scope: it converts a model built with
the Matlab version of the code to the Java version of the code.
- ConvertModels - Class in edu.stanford.nlp.neural
-
- ConvertModels() - Constructor for class edu.stanford.nlp.neural.ConvertModels
-
- ConvertModels.Model - Enum in edu.stanford.nlp.neural
-
- ConvertModels.Stage - Enum in edu.stanford.nlp.neural
-
- convertPath(List<V>, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- convertStringEquality(List<Collection<TypedDependency>>) - Static method in class edu.stanford.nlp.trees.DependencyScoring
-
- convertStringPhrases(Collection<String>) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- convertTextMatrix(String) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
- convertToArray(Collection<Double>) - Static method in class edu.stanford.nlp.classify.LogisticUtils
-
- convertToBytes(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
-
- convertToBytes(IdentityHashMap<Tree, List<Tree>>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
-
- convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
-
Converts the tree labels to CoreLabels.
- convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Converts the tree labels to CoreLabels.
- convertToString(Collection<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- convertToTrees(byte[]) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
-
- convertToTrees(IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
-
- convertToTrees(Collection<Tree>, IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
-
- convertToUPOS - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- convertTree(List<Integer>, List<String>, Map<List<String>, Integer>, Map<Integer, Double>, PTBEscapingProcessor, int) - Static method in class edu.stanford.nlp.sentiment.ReadSentimentDataset
-
- convertTrees(String[], String) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
Given sentences or trees, output the typed dependencies.
- ConvertTreesToTags - Class in edu.stanford.nlp.tagger.util
-
A short utility program that dumps out trees from multiple files
into one file of tagged text.
- convertTreeTagsToUD(Tree) - Static method in class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
-
- convertValueToBoolean(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- convertValueToBooleanValue(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- CoolingSchedule - Class in edu.stanford.nlp.sequences
-
- CoolingSchedule() - Constructor for class edu.stanford.nlp.sequences.CoolingSchedule
-
- COORDINATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "coordination" grammatical relation.
- COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "coordination" grammatical relation.
- COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "coordination" grammatical relation.
- COORDINATION - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- COORDINATION - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "coordination" grammatical relation.
- CoordinationPattern - Class in edu.stanford.nlp.semgraph.semgrex
-
- CoordinationPattern(boolean, List<SemgrexPattern>, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- CoordinationTransformer - Class in edu.stanford.nlp.trees
-
Coordination transformer transforms a PennTreebank tree containing
a coordination in a flat structure in order to get the dependencies
right.
- CoordinationTransformer(HeadFinder) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
-
- CoordinationTransformer(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
-
Constructor
- COPULA - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "copula" grammatical relation.
- COPULA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "copula" grammatical relation.
- COPULA - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- COPULA - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "copula" grammatical relation.
- CopulaHeadFinder - Interface in edu.stanford.nlp.trees
-
A mix-in interface for HeadFinders which support the
makesCopulaHead method, which says how the HeadFinder in question
handles "to be" verbs.
- COPULAR_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- copularVerbs - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- copularWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- copulas - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- copulas - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- copulasEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- copulasZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
-
Make a deep copy of the sequence pattern expressions
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
-
- copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
-
- copy(float[], float[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- copy(double[], double[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- copy() - Method in class edu.stanford.nlp.patterns.surface.PatternToken
-
- copy() - Method in class edu.stanford.nlp.pipeline.Annotation
-
Copies the map, but not a deep copy.
- copy(int[]) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
-
- copy(TsurgeonMatcher, TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
-
Copies the Auxiliary tree.
- copy(long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(short[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(double[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(float[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- copy(float[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- COPYANNOTATION_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
- copyCount() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- COPYCOUNT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
- copyEmptyNodes(SemanticGraph, SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalEnhancer
-
- copyFile(File, File) - Static method in class edu.stanford.nlp.io.FileSystem
-
Copies a file.
- copyLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- copyNewToken() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- CopySerializedObject - Class in edu.stanford.nlp.io
-
Copies a serialized object from one file to another.
- CopySerializedObject() - Constructor for class edu.stanford.nlp.io.CopySerializedObject
-
- copyTokens(List<CoreLabel>, CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
Create a copy of srcTokens, detecting on the fly if character offsets need adjusting
- copyUnsetAnnotations(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Copies annotation over to this CoreMap if not already set.
- copyWordVector(Map<String, SimpleMatrix>, String, String) - Static method in class edu.stanford.nlp.sentiment.ConvertMatlabModel
-
Will not overwrite an existing word vector if it is already there
- CoreAnnotation<V> - Interface in edu.stanford.nlp.ling
-
The base class for any annotation that can be marked on a
CoreMap
,
parameterized by the type of the value associated with the annotation.
- CoreAnnotations - Class in edu.stanford.nlp.ling
-
Set of common annotations for
CoreMap
s.
- CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling
-
Annotation for the whitespace characters appear after this word.
- CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the answer which is a String
- CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.AnswerProbAnnotation - Class in edu.stanford.nlp.ling
-
The matching probability for the AnswerAnnotation
- CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the annotation's antecedent.
- CoreAnnotations.ArabicCharAnnotation - Class in edu.stanford.nlp.ling
-
for Arabic: character level information, segmentation
- CoreAnnotations.ArabicSegAnnotation - Class in edu.stanford.nlp.ling
-
For Arabic: the segmentation information from the segmenter.
- CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for a propbank label which is of type Argument
- CoreAnnotations.AuthorAnnotation - Class in edu.stanford.nlp.ling
-
Author for the document
(really should be a set of authors, but just have single string for simplicity)
- CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling
-
Annotation for the whitespace characters appearing before this word.
- CoreAnnotations.BeginIndexAnnotation - Class in edu.stanford.nlp.ling
-
This indexes the beginning of a span of words, e.g., a constituent in a
tree.
- CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling
-
Used in Task3 Pascal system
- CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the date and time associated with an
annotation.
- CoreAnnotations.CanonicalEntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling
-
Index into the list of entity mentions in a document for canonical entity mention.
- CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for storing category with functional tags.
- CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the offset of the first char of an
annotation.
- CoreAnnotations.CharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the offset of the last character after the end
of an annotation.
- CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling
-
For Chinese: character level information, segmentation.
- CoreAnnotations.ChineseIsSegmentedAnnotation - Class in edu.stanford.nlp.ling
-
Not sure exactly what this is, but it is different from
ChineseSegAnnotation and seems to indicate if the text is segmented
- CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
-
For Chinese: the segmentation info existing in the original text.
- CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
-
For Chinese: the segmentation information from the segmenter.
- CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CoarseNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the coarse named entity tag (i.e.
- CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - coarser POS tags.
- CoreAnnotations.CodepointOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
-
Some codepoints count as more than one character.
- CoreAnnotations.CodepointOffsetEndAnnotation - Class in edu.stanford.nlp.ling
-
Some codepoints count as more than one character.
- CoreAnnotations.ColumnDataClassifierAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
- CoreAnnotations.CoNLLDepParentIndexAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - the index of the word which is the parent of this word
in the dependency tree
- CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
- CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL SRL/dep parsing - whether the word is a predicate
- CoreAnnotations.CoNLLSRLAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL SRL/dep parsing - map which, for the current word, specifies its
specific role for each predicate
- CoreAnnotations.CoNLLUFeats - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - Map of morphological features
- CoreAnnotations.CoNLLUMisc - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - Any other annotation
- CoreAnnotations.CoNLLUSecondaryDepsAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - List of secondary dependencies
- CoreAnnotations.CoNLLUTokenSpanAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL-U dep parsing - span of multiword tokens
- CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation - Class in edu.stanford.nlp.ling
-
mapping from coref mentions to corresponding ner derived entity mentions
- CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling
-
Key for relative value of a word - used in RTE
- CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.DocIDAnnotation - Class in edu.stanford.nlp.ling
-
This refers to the unique identifier for a "document", where document may
vary based on your application.
- CoreAnnotations.DocSourceTypeAnnotation - Class in edu.stanford.nlp.ling
-
Document source type
What kind of place did the document come from: newswire, discussion forum, web...
- CoreAnnotations.DocTitleAnnotation - Class in edu.stanford.nlp.ling
-
Document title
What is the document title
- CoreAnnotations.DocTypeAnnotation - Class in edu.stanford.nlp.ling
-
Document type
What kind of document is it: story, multi-part article, listing, email, etc
- CoreAnnotations.DomainAnnotation - Class in edu.stanford.nlp.ling
-
Used in CRFClassifier stuff PositionAnnotation should possibly be an int -
it's present as either an int or string depending on context CharAnnotation
may be "CharacterAnnotation" - not sure
- CoreAnnotations.EmptyIndexAnnotation - Class in edu.stanford.nlp.ling
-
Some datasets - for example, the UD Estonian EWT dataset - use
"empty" nodes to represent words that were unspoken / unwritten
but can be inferred from the structure of the sentence.
- CoreAnnotations.EndIndexAnnotation - Class in edu.stanford.nlp.ling
-
This indexes the end of a span of words, e.g., a constituent in a
tree.
- CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.EntityMentionIndexAnnotation - Class in edu.stanford.nlp.ling
-
index into the list of entity mentions in a document
- CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation - Class in edu.stanford.nlp.ling
-
Mapping from NER-derived entity mentions to coref mentions.
- CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ExceptionAnnotation - Class in edu.stanford.nlp.ling
-
Stores an exception associated with processing this document
- CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the features which is a Collection
- CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.FineGrainedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the fine grained named entity tag (i.e.
- CoreAnnotations.FirstChildAnnotation - Class in edu.stanford.nlp.ling
-
used in binarized trees to specify the first child in the rule for which
this node is the parent
- CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling
-
This indicates the sentence should end at this token.
- CoreAnnotations.ForcedSentenceUntilEndAnnotation - Class in edu.stanford.nlp.ling
-
This indicates that starting at this token, the sentence should not be ended until
we see a ForcedSentenceEndAnnotation.
- CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
-
Possibly this should be grouped with gazetteer annotation - original key
was "gaz".
- CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the gazetteer information
- CoreAnnotations.GenderAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying an entity mention's potential gender.
- CoreAnnotations.GenericTokensAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
- CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for gold answer which is a String
- CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling
-
specifies the base state of the parent of this node in the parse tree
- CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.HeadWordStringAnnotation - Class in edu.stanford.nlp.ling
-
The key for storing a Head word as a string rather than a pointer (as in
TreeCoreAnnotations.HeadWordAnnotation)
- CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling
-
Used in srl.unsup
- CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling
-
Inverse document frequency of the word this label represents
- CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling
-
This indexes a token number inside a sentence.
- CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the semantic interpretation
- CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling
-
it really seems like this should have a different name or else be a boolean
- CoreAnnotations.IsFirstWordOfMWTAnnotation - Class in edu.stanford.nlp.ling
-
The CoreLabel key identifying whether a token is the first word derived
from a multi-word-token.
- CoreAnnotations.IsMultiWordTokenAnnotation - Class in edu.stanford.nlp.ling
-
The CoreLabel key identifying whether a token is a multi-word-token
This is attached to
CoreLabel
s.
- CoreAnnotations.IsNewlineAnnotation - Class in edu.stanford.nlp.ling
-
The CoreLabel key identifying whether a token is a newline or not
This is attached to
CoreLabel
s.
- CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling
-
it really seems like this should have a different name or else be a boolean
- CoreAnnotations.KBPTriplesAnnotation - Class in edu.stanford.nlp.ling
-
An annotation for a sentence tagged with its KBP relation.
- CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling
-
Used in wsd.supwsd package
- CoreAnnotations.LabelIDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LabelWeightAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling
-
Used in Gale2007ChineseSegmenter
- CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling
-
used in incremental DAG parser
- CoreAnnotations.LeftTermAnnotation - Class in edu.stanford.nlp.ling
-
The Standard key for storing the left terminal number relative to the root
of the tree of the leftmost terminal dominated by the current node
- CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the lemma (morphological stem, lexeme form) of a token.
- CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LineNumberAnnotation - Class in edu.stanford.nlp.ling
-
Line number for a sentence in a document delimited by newlines
instead of punctuation.
- CoreAnnotations.LinkAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.LocationAnnotation - Class in edu.stanford.nlp.ling
-
Reference location for the document
- CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling
-
Another key used for propbank - to signify core arg nodes or predicate
nodes
- CoreAnnotations.MentionsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MentionTokenAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling
-
Used in nlp.coref
- CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.MWTTokenMiscAnnotation - Class in edu.stanford.nlp.ling
-
CoNLL-U misc features specifically on the MWT part of a token rather than the word
- CoreAnnotations.MWTTokenTextAnnotation - Class in edu.stanford.nlp.ling
-
Text of the token that was used to create this word during a multi word token split.
- CoreAnnotations.NamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.)
This key is typically set on token annotations.
- CoreAnnotations.NamedEntityTagProbsAnnotation - Class in edu.stanford.nlp.ling
-
Label and probability pair representing the coarse grained label and probability
- CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NERIDAnnotation - Class in edu.stanford.nlp.ling
-
This is an NER ID annotation (in case the all caps parsing didn't work out
for you...)
- CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The key for the normalized value of numeric named entities.
- CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling
-
Annotation indicating the numeric object associated with an annotation.
- CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling
-
Annotation indicating the numeric value of the phrase the token is part of
(twenty first => 21 21 ).
- CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling
-
Annotation indicating whether the numeric phrase the token is part of
represents a NUMBER or ORDINAL (twenty first => ORDINAL ORDINAL).
- CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling
-
Used by RTE to track number of text sentences, to determine when hyp
sentences begin.
- CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling
-
Seems like this could be consolidated with something else...
- CoreAnnotations.OriginalTextAnnotation - Class in edu.stanford.nlp.ling
-
The exact original surface form of a token.
- CoreAnnotations.ParagraphAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.ParagraphIndexAnnotation - Class in edu.stanford.nlp.ling
-
used in ParagraphAnnotator.
- CoreAnnotations.ParagraphsAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the paragraphs contained by an annotation.
- CoreAnnotations.ParaPositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the parent which is a String
- CoreAnnotations.PartOfSpeechAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the Penn part of speech of a token.
- CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling
-
annotation stolen from the lex parser
- CoreAnnotations.PhraseWordsAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PhraseWordsTagAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.PresetAnswerAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the answer which is a String
- CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling
-
used in binarized trees to say the name of the most recent child
- CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling
-
Used in propbank.srl
- CoreAnnotations.ProtoAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.QuotationIndexAnnotation - Class in edu.stanford.nlp.ling
-
Unique identifier within a document for a given quotation.
- CoreAnnotations.QuotationsAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the quotations contained by an annotation.
- CoreAnnotations.QuotedAnnotation - Class in edu.stanford.nlp.ling
-
Indicate whether a sentence is quoted
- CoreAnnotations.QuotesAnnotation - Class in edu.stanford.nlp.ling
-
Store a list of CoreMaps representing quotes
- CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the semantic role label of a phrase.
- CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling
-
Section of a document
- CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
-
Store the beginning of the author mention for this section
- CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling
-
Store the end of the author mention for this section
- CoreAnnotations.SectionDateAnnotation - Class in edu.stanford.nlp.ling
-
Date for a section of a document
- CoreAnnotations.SectionEndAnnotation - Class in edu.stanford.nlp.ling
-
Indicates that the token end a section and the label of the section
- CoreAnnotations.SectionIDAnnotation - Class in edu.stanford.nlp.ling
-
Id for a section of a document
- CoreAnnotations.SectionIndexAnnotation - Class in edu.stanford.nlp.ling
-
Store an index into a list of sections
- CoreAnnotations.SectionsAnnotation - Class in edu.stanford.nlp.ling
-
Store a list of sections in the document
- CoreAnnotations.SectionStartAnnotation - Class in edu.stanford.nlp.ling
-
Indicates that the token starts a new section and the attributes
that should go into that section
- CoreAnnotations.SectionTagAnnotation - Class in edu.stanford.nlp.ling
-
Store the xml tag for the section as a CoreLabel
- CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for Semantic Head Word POS which is a String
- CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for Semantic Head Word which is a String
- CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SentenceBeginAnnotation - Class in edu.stanford.nlp.ling
-
The index of the sentence that this annotation begins in.
- CoreAnnotations.SentenceEndAnnotation - Class in edu.stanford.nlp.ling
-
The index of the sentence that this annotation begins in.
- CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling
-
Unique identifier within a document for a given sentence.
- CoreAnnotations.SentencePositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.SentencesAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the sentences contained in an annotation.
- CoreAnnotations.ShapeAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for the "shape" of a word: a String representing the type
of characters in a word, such as "Xx" for a capitalized word.
- CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling
-
Used in Chinese segmenters for whether there was space before a character.
- CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling
-
The standard key for span which is an IntPair
- CoreAnnotations.SpeakerAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.SpeakerTypeAnnotation - Class in edu.stanford.nlp.ling
-
used to store speaker type information for coref
- CoreAnnotations.SRL_ID - Enum in edu.stanford.nlp.ling
-
- CoreAnnotations.SRLIDAnnotation - Class in edu.stanford.nlp.ling
-
The key for semantic role labels (Note: please add to this description if
you use this key)
- CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.StackedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.) from a previous NER tagger.
- CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling
-
The base version of the parser state, like NP or VBZ or ...
- CoreAnnotations.StatementTextAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling
-
Stem of the word this label represents.
- CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling
-
Used in Trees
- CoreAnnotations.TextAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the annotation's text.
- CoreAnnotations.TokenBeginAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the first token included in an annotation.
- CoreAnnotations.TokenEndAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the last token after the end of an annotation.
- CoreAnnotations.TokensAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the tokens contained by an annotation.
- CoreAnnotations.TopicAnnotation - Class in edu.stanford.nlp.ling
-
Used for Topic Assignments from LDA or its equivalent models.
- CoreAnnotations.TrueCaseAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the token-level true case annotation (e.g.,
INIT_UPPER)
This key is typically set on token annotations.
- CoreAnnotations.TrueCaseTextAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key identifying the annotation's true-cased text.
- CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling
-
whether the node is the parent in a unary rule
- CoreAnnotations.UnclosedQuotationsAnnotation - Class in edu.stanford.nlp.ling
-
The CoreMap key for getting the quotations contained by an annotation.
- CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling
-
Note: this is not a catchall "unknown" annotation but seems to have a
specific meaning for sequence classifiers
- CoreAnnotations.UseMarkedDiscourseAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.UtteranceAnnotation - Class in edu.stanford.nlp.ling
-
used in dcoref.
- CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling
-
Contains the "value" - an ill-defined string used widely in MapLabel.
- CoreAnnotations.VerbSenseAnnotation - Class in edu.stanford.nlp.ling
-
Probank key for the Verb sense given in the Propbank Annotation, should
only be in the verbnode
- CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WikipediaEntityAnnotation - Class in edu.stanford.nlp.ling
-
An annotation for the Wikipedia page (i.e., canonical name) associated with
this token.
- CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WordnetSynAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WordPositionAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
-
- CoreAnnotations.XmlContextAnnotation - Class in edu.stanford.nlp.ling
-
Used in CleanXMLAnnotator.
- CoreAnnotations.XmlElementAnnotation - Class in edu.stanford.nlp.ling
-
Used in SimpleXMLAnnotator.
- CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
-
- CoreDocument - Class in edu.stanford.nlp.pipeline
-
Wrapper around an annotation representing a document.
- CoreDocument(String) - Constructor for class edu.stanford.nlp.pipeline.CoreDocument
-
- CoreDocument(Annotation) - Constructor for class edu.stanford.nlp.pipeline.CoreDocument
-
- CoreEntityMention - Class in edu.stanford.nlp.pipeline
-
- CoreEntityMention(CoreSentence, CoreMap) - Constructor for class edu.stanford.nlp.pipeline.CoreEntityMention
-
- coref(Document, StringBuilder[]) - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
-
main entry of coreference system.
- coref(Document) - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
-
main entry of coreference system.
- coref(Annotation) - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
-
main entry of coreference system.
- coref(Document) - Method in class edu.stanford.nlp.dcoref.CoreferenceSystem
-
- coref(Document) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
Extracts coreference clusters.
- coref(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Annotate for coreference (statistical or hybrid)
- coref(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations
-
Annotate for coreference (statistical or hybrid)
- coref(Properties) - Method in class edu.stanford.nlp.simple.ArabicDocument
-
- coref(Properties) - Method in class edu.stanford.nlp.simple.Document
-
Returns the coref chains in the document.
- coref() - Method in class edu.stanford.nlp.simple.Document
-
- coref(Properties) - Method in class edu.stanford.nlp.simple.FrenchDocument
-
- coref(Properties) - Method in class edu.stanford.nlp.simple.GermanDocument
-
- coref() - Method in class edu.stanford.nlp.simple.Sentence
-
Get the coreference chain for just this sentence.
- coref(Properties) - Method in class edu.stanford.nlp.simple.SpanishDocument
-
- COREF_PATH - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- CorefAlgorithm - Interface in edu.stanford.nlp.coref
-
A CorefAlgorithms make coreference decisions on the provided
Document
after
mention detection has been performed.
- CorefAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefAnnotation
-
- CorefAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefAnnotation
-
- CorefAnnotator - Class in edu.stanford.nlp.pipeline
-
This class adds coref information to an Annotation.
- CorefAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.CorefAnnotator
-
- CorefChain - Class in edu.stanford.nlp.coref.data
-
Output of (deterministic) coref system.
- CorefChain(CorefCluster, Map<Mention, IntTuple>) - Constructor for class edu.stanford.nlp.coref.data.CorefChain
-
- CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) - Constructor for class edu.stanford.nlp.coref.data.CorefChain
-
Constructor required by CustomAnnotationSerializer
- CorefChain - Class in edu.stanford.nlp.dcoref
-
Output of (deterministic) coref system.
- CorefChain(CorefCluster, Map<Mention, IntTuple>) - Constructor for class edu.stanford.nlp.dcoref.CorefChain
-
- CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) - Constructor for class edu.stanford.nlp.dcoref.CorefChain
-
Constructor required by CustomAnnotationSerializer
- CorefChain.CorefMention - Class in edu.stanford.nlp.coref.data
-
Mention for coref output.
- CorefChain.CorefMention - Class in edu.stanford.nlp.dcoref
-
Mention for coref output.
- CorefChain.CorefMentionComparator - Class in edu.stanford.nlp.coref.data
-
- CorefChain.CorefMentionComparator - Class in edu.stanford.nlp.dcoref
-
- CorefChain.MentionComparator - Class in edu.stanford.nlp.coref.data
-
- CorefChain.MentionComparator - Class in edu.stanford.nlp.dcoref
-
- COREFCHAIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- CorefChainAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefChainAnnotation
-
- CorefChainAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation
-
- corefChains() - Method in class edu.stanford.nlp.pipeline.CoreDocument
-
coref info
- corefChainToKBPMentions(CorefChain, Annotation, HashMap<Pair<Integer, Integer>, CoreMap>) - Method in class edu.stanford.nlp.pipeline.KBPAnnotator
-
Helper method to find best kbp mention in a coref chain
This is defined as longest kbp mention or null if
the coref chain does not contain a kbp mention
- CorefCluster - Class in edu.stanford.nlp.coref.data
-
One cluster for the SieveCoreferenceSystem.
- CorefCluster(int) - Constructor for class edu.stanford.nlp.coref.data.CorefCluster
-
- CorefCluster(int, Set<Mention>) - Constructor for class edu.stanford.nlp.coref.data.CorefCluster
-
- CorefCluster - Class in edu.stanford.nlp.dcoref
-
One cluster for the SieveCoreferenceSystem.
- CorefCluster(int) - Constructor for class edu.stanford.nlp.dcoref.CorefCluster
-
- CorefCluster(int, Set<Mention>) - Constructor for class edu.stanford.nlp.dcoref.CorefCluster
-
- CorefClusterAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefClusterAnnotation
-
- CorefClusterAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterAnnotation
-
Deprecated.
- corefClusterID - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
- corefClusterID - Variable in class edu.stanford.nlp.coref.data.Mention
-
- corefClusterID - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
- corefClusterID - Variable in class edu.stanford.nlp.dcoref.Mention
-
- COREFCLUSTERID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- COREFCLUSTERID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CorefClusterIdAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefClusterIdAnnotation
-
- CorefClusterIdAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterIdAnnotation
-
- corefClusters - Variable in class edu.stanford.nlp.coref.data.Document
-
Clusters for coreferent mentions
- corefClusters - Variable in class edu.stanford.nlp.dcoref.Document
-
Clusters for coreferent mentions
- CorefCoreAnnotations - Class in edu.stanford.nlp.coref
-
Similar to
CoreAnnotations
,
but this class contains
annotations made specifically for storing Coref data.
- CorefCoreAnnotations() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations
-
- CorefCoreAnnotations - Class in edu.stanford.nlp.dcoref
-
Similar to
CoreAnnotations
,
but this class contains
annotations made specifically for storing Coref data.
- CorefCoreAnnotations() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations
-
- CorefCoreAnnotations.CorefAnnotation - Class in edu.stanford.nlp.coref
-
the standard key for the coref label.
- CorefCoreAnnotations.CorefAnnotation - Class in edu.stanford.nlp.dcoref
-
The standard key for the coref label.
- CorefCoreAnnotations.CorefChainAnnotation - Class in edu.stanford.nlp.coref
-
CorefChainID - CorefChain map
- CorefCoreAnnotations.CorefChainAnnotation - Class in edu.stanford.nlp.dcoref
-
CorefChainID - CorefChain map.
- CorefCoreAnnotations.CorefClusterAnnotation - Class in edu.stanford.nlp.coref
-
Set of all the CoreLabel objects which are coreferent with a
CoreLabel.
- CorefCoreAnnotations.CorefClusterAnnotation - Class in edu.stanford.nlp.dcoref
-
- CorefCoreAnnotations.CorefClusterIdAnnotation - Class in edu.stanford.nlp.coref
-
An integer representing a document-level unique cluster of
coreferent entities.
- CorefCoreAnnotations.CorefClusterIdAnnotation - Class in edu.stanford.nlp.dcoref
-
An integer representing a document-level unique cluster of
coreferent entities.
- CorefCoreAnnotations.CorefDestAnnotation - Class in edu.stanford.nlp.coref
-
Destination of the coreference link for this word (if any): it
contains the index of the sentence and the index of the word that
are the end of this coref link Both indices start at 1 The
sentence index is IntTuple.get(0); the token index in the
sentence is IntTuple.get(1)
- CorefCoreAnnotations.CorefDestAnnotation - Class in edu.stanford.nlp.dcoref
-
Destination of the coreference link for this word (if any).
- CorefCoreAnnotations.CorefGraphAnnotation - Class in edu.stanford.nlp.coref
-
Deprecated.
- CorefCoreAnnotations.CorefGraphAnnotation - Class in edu.stanford.nlp.dcoref
-
Deprecated.
- CorefCoreAnnotations.CorefMentionIndexesAnnotation - Class in edu.stanford.nlp.coref
-
index into the document wide list of coref mentions
- CorefCoreAnnotations.CorefMentionsAnnotation - Class in edu.stanford.nlp.coref
-
this annotation marks in every sentence the mentions used for coref
- CorefDestAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefDestAnnotation
-
- CorefDestAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefDestAnnotation
-
- corefDict - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- corefDict - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- CorefDictionaryMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
-
Sieve that uses the coreference dictionary for the technical domain
developed by Recasens, Can and Jurafsky (NAACL 2013).
- CorefDictionaryMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.CorefDictionaryMatch
-
- CorefDictionaryMatch - Class in edu.stanford.nlp.dcoref.sievepasses
-
Sieve that uses the coreference dictionary for the technical domain
developed by Recasens, Can and Jurafsky (NAACL 2013).
- CorefDictionaryMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.CorefDictionaryMatch
-
- corefDictPMI - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- corefDictPMI - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- CorefDocumentProcessor - Interface in edu.stanford.nlp.coref
-
An interface for classes that iterate through coreference documents and process them one by one.
- coreferenceContextSize - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
-
Should a small window of context be provided with each coreference mention
- CoreferenceSystem - Class in edu.stanford.nlp.dcoref
-
abstract class for coreference resolution system
- CoreferenceSystem() - Constructor for class edu.stanford.nlp.dcoref.CoreferenceSystem
-
- coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
-
Checks if two clusters are coreferent according to our sieve pass constraints
- coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>, Semantics) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
-
Checks if two clusters are coreferent according to our sieve pass constraints.
- CorefGraphAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefGraphAnnotation
-
Deprecated.
- CorefGraphAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefGraphAnnotation
-
Deprecated.
- COREFID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
- CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) - Constructor for class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
- CorefMention(Mention, IntTuple) - Constructor for class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
- CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
This constructor is used to recreate a CorefMention following serialization.
- CorefMention(Mention, IntTuple) - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
This constructor builds the external CorefMention class from the internal Mention.
- corefMention(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Annotate for mention (statistical or hybrid)
- corefMention(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations
-
Annotate for mention (statistical or hybrid)
- CorefMentionAnnotation() - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CorefMentionAnnotation
-
- CorefMentionAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorefMentionAnnotation
-
- CorefMentionAnnotator - Class in edu.stanford.nlp.pipeline
-
This class adds mention information to an Annotation.
- CorefMentionAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.CorefMentionAnnotator
-
- CorefMentionComparator() - Constructor for class edu.stanford.nlp.coref.data.CorefChain.CorefMentionComparator
-
- CorefMentionComparator() - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMentionComparator
-
- CorefMentionFinder - Class in edu.stanford.nlp.coref.md
-
Interface for finding coref mentions in a document.
- CorefMentionFinder() - Constructor for class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- CorefMentionFinder - Interface in edu.stanford.nlp.dcoref
-
Interface for finding coref mentions in a document.
- COREFMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- CorefMentionIndexesAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefMentionIndexesAnnotation
-
- corefMentions - Variable in class edu.stanford.nlp.coref.data.CorefCluster
-
- corefMentions - Variable in class edu.stanford.nlp.dcoref.CorefCluster
-
- CorefMentionsAnnotation() - Constructor for class edu.stanford.nlp.coref.CorefCoreAnnotations.CorefMentionsAnnotation
-
- CorefMentionToEntityMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
-
- COREFMENTIONTOENTITYMENTIONMAPPINGS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- CorefPrinter - Class in edu.stanford.nlp.coref
-
Class for printing out coreference output.
- CorefPrinter() - Constructor for class edu.stanford.nlp.coref.CorefPrinter
-
- CorefProperties - Class in edu.stanford.nlp.coref
-
Manages the properties for running coref.
- CorefProperties.CorefAlgorithmType - Enum in edu.stanford.nlp.coref
-
- CorefProperties.Dataset - Enum in edu.stanford.nlp.coref
-
- CorefProperties.MentionDetectionType - Enum in edu.stanford.nlp.coref
-
- corefReturnHybridOutput(Document) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
- CorefRules - Class in edu.stanford.nlp.coref
-
Rules for coref system (mention detection, entity coref, event coref)
The name of the method for mention detection starts with detection,
for entity coref starts with entity, and for event coref starts with event.
- CorefRules() - Constructor for class edu.stanford.nlp.coref.CorefRules
-
- CorefScorer - Class in edu.stanford.nlp.coref
-
Utilities for running coref evaluation scripts and printing the results
- CorefScorer() - Constructor for class edu.stanford.nlp.coref.CorefScorer
-
- CorefScorer - Class in edu.stanford.nlp.dcoref
-
Wrapper for a coreference resolution score: MUC, B cubed, Pairwise.
- CorefScorer.ScorerMissingException - Exception in edu.stanford.nlp.coref
-
- CorefSystem - Class in edu.stanford.nlp.coref
-
Class for running coreference algorithms
- CorefSystem(Properties) - Constructor for class edu.stanford.nlp.coref.CorefSystem
-
- CorefSystem(DocumentMaker, CorefAlgorithm, boolean, boolean) - Constructor for class edu.stanford.nlp.coref.CorefSystem
-
- CorefUtils - Class in edu.stanford.nlp.coref
-
Useful utilities for coreference resolution.
- CorefUtils() - Constructor for class edu.stanford.nlp.coref.CorefUtils
-
- CoreLabel - Class in edu.stanford.nlp.ling
-
A CoreLabel represents a single word with ancillary information
attached using CoreAnnotations.
- CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Default constructor, calls super()
- CoreLabel(int) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Initializes this CoreLabel, pre-allocating arrays to hold
up to capacity key,value pairs.
- CoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Returns a new CoreLabel instance based on the contents of the given
CoreLabel.
- CoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Returns a new CoreLabel instance based on the contents of the given
CoreMap.
- CoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
Returns a new CoreLabel instance based on the contents of the given
label.
- CoreLabel(String[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
This constructor attempts to parse the String keys
into Class keys.
- CoreLabel(Class[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel
-
This constructor attempts to use preparsed Class keys.
- CoreLabel.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling
-
Class that all "generic" annotations extend.
- CoreLabel.OutputFormat - Enum in edu.stanford.nlp.ling
-
- coreLabelFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
a factory that vends CoreLabel tokens with default tokenization.
- coreLabelFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
- coreLabelFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
- CoreLabelProcessor - Class in edu.stanford.nlp.process
-
Abstract class for processing a List<CoreLabel>
.
- CoreLabelProcessor() - Constructor for class edu.stanford.nlp.process.CoreLabelProcessor
-
- CoreLabelTokenFactory - Class in edu.stanford.nlp.process
-
Constructs
CoreLabel
s from Strings optionally with
beginning and ending (character after the end) offset positions in
an original text.
- CoreLabelTokenFactory() - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructor for a new token factory which will add in the word, the
"current" annotation, and the begin/end position annotations.
- CoreLabelTokenFactory(boolean) - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
-
Constructor that allows one to choose if index annotation
indicating begin/end position will be included in the label.
- coreMap() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention
-
get the underlying CoreMap if need be
- coreMap() - Method in class edu.stanford.nlp.pipeline.CoreQuote
-
get the underlying CoreMap if need be
- coreMap() - Method in class edu.stanford.nlp.pipeline.CoreSentence
-
get the underlying CoreMap if need be
- CoreMap - Interface in edu.stanford.nlp.util
-
Base type for all annotatable core objects.
- COREMAP_LIST_TO_STRING_CONVERTER - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- COREMAP_TO_CHAR_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- COREMAP_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- CoreMapAggregator - Class in edu.stanford.nlp.pipeline
-
Function that aggregates several core maps into one
- CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- CoreMapAttributeAggregator - Class in edu.stanford.nlp.pipeline
-
Functions for aggregating token attributes.
- CoreMapAttributeAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- CoreMapAttributeAggregator.ConcatAggregator - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.ConcatCoreMapListAggregator<T extends CoreMap> - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.ConcatListAggregator<T> - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.ConcatTextAggregator - Class in edu.stanford.nlp.pipeline
-
- CoreMapAttributeAggregator.MostFreqAggregator - Class in edu.stanford.nlp.pipeline
-
- CoreMapExpressionExtractor<T extends MatchedExpression> - Class in edu.stanford.nlp.ling.tokensregex
-
Represents a list of assignment and extraction rules over sequence patterns.
- CoreMapExpressionExtractor() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an empty instance with no rules.
- CoreMapExpressionExtractor(Env) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates a default instance with the specified environment.
- CoreMapExpressionExtractor(Env, List<SequenceMatchRules.Rule>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an instance with the specified environment and list of rules
- CoreMapExpressionExtractor.Stage<T> - Class in edu.stanford.nlp.ling.tokensregex
-
Describes one stage of extraction.
- CoreMapExpressionNodePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching a CoreMap using a generic expression
- CoreMapExpressionNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- CoreMapExpressionNodePattern(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
-
- CoreMapExprNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapExtractRule(Env, Class, SequenceMatchRules.ExtractRule<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
-
- CoreMapFunctionApplier(Env, Class, Function<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
-
- CoreMapNode(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapNodePattern - Class in edu.stanford.nlp.ling.tokensregex
-
Pattern for matching a CoreMap
- CoreMapNodePattern(List<Pair<Class, NodePattern>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- CoreMapNodePattern(Pair<Class, NodePattern>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- CoreMapNodePattern(Class, NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
-
- CoreMapNodePattern.AttributesEqualMatchChecker<K> - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapNodePatternTrigger - Class in edu.stanford.nlp.ling.tokensregex
-
Trigger for CoreMap Node Patterns.
- CoreMapNodePatternTrigger(SequencePattern<CoreMap>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
-
- CoreMapNodePatternTrigger(Collection<? extends SequencePattern<CoreMap>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
-
- CoreMaps - Class in edu.stanford.nlp.util
-
Utility functions for working with
CoreMap
's.
- CoreMapSequenceMatchAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
-
Performs a action on a matched sequence
- CoreMapSequenceMatchAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
-
- CoreMapSequenceMatchAction.AnnotateAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapSequenceMatchAction.MergeAction - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapSequenceMatcher<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
-
CoreMap Sequence Matcher for regular expressions for sequences over CoreMaps.
- CoreMapSequenceMatcher(SequencePattern<T>, List<? extends T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher - Class in edu.stanford.nlp.ling.tokensregex
-
- CoreMapToListExtractRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
-
- CoreMapToListFunctionApplier(Env, Function<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
-
- CoreMapVarNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapVarValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreMapWordPattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- CoreNLPDocumentReader - Class in edu.stanford.nlp.coref.docreader
-
Coref doc reader where annotations are stored as CoreNLP annotations
- CoreNLPDocumentReader(String) - Constructor for class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
-
- CoreNLPDocumentReader(String, CoreNLPDocumentReader.Options) - Constructor for class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
-
- CoreNLPDocumentReader.Options - Class in edu.stanford.nlp.coref.docreader
-
Flags
- CoreNLPHandler(Properties, Predicate<Properties>, Consumer<StanfordCoreNLPServer.FinishedRequest>, StanfordCoreNLPServer.FileHandler, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.CoreNLPHandler
-
Create a handler for accepting annotation requests.
- CoreNLPProtos - Class in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.CorefChain - Class in edu.stanford.nlp.pipeline
-
A coreference chain.
- CoreNLPProtos.CorefChain.Builder - Class in edu.stanford.nlp.pipeline
-
A coreference chain.
- CoreNLPProtos.CorefChain.CorefMention - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
- CoreNLPProtos.CorefChain.CorefMention.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
- CoreNLPProtos.CorefChain.CorefMentionOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.CorefChainOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyConverterRequest - Class in edu.stanford.nlp.pipeline
-
A request for converting constituency trees to dependency graphs
- CoreNLPProtos.DependencyConverterRequest.Builder - Class in edu.stanford.nlp.pipeline
-
A request for converting constituency trees to dependency graphs
- CoreNLPProtos.DependencyConverterRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyConverterResponse - Class in edu.stanford.nlp.pipeline
-
The result of using the CoreNLP dependency converter.
- CoreNLPProtos.DependencyConverterResponse.Builder - Class in edu.stanford.nlp.pipeline
-
The result of using the CoreNLP dependency converter.
- CoreNLPProtos.DependencyConverterResponse.DependencyConversion - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion
- CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion
- CoreNLPProtos.DependencyConverterResponse.DependencyConversionOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyConverterResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyEnhancerRequest - Class in edu.stanford.nlp.pipeline
-
A protobuf which allows to pass in a document with basic
dependencies to be converted to enhanced
- CoreNLPProtos.DependencyEnhancerRequest.Builder - Class in edu.stanford.nlp.pipeline
-
A protobuf which allows to pass in a document with basic
dependencies to be converted to enhanced
- CoreNLPProtos.DependencyEnhancerRequest.RefCase - Enum in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyEnhancerRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyGraph - Class in edu.stanford.nlp.pipeline
-
A dependency graph representation.
- CoreNLPProtos.DependencyGraph.Builder - Class in edu.stanford.nlp.pipeline
-
A dependency graph representation.
- CoreNLPProtos.DependencyGraph.Edge - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
- CoreNLPProtos.DependencyGraph.Edge.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
- CoreNLPProtos.DependencyGraph.EdgeOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyGraph.Node - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
- CoreNLPProtos.DependencyGraph.Node.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
- CoreNLPProtos.DependencyGraph.NodeOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.DependencyGraphOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Document - Class in edu.stanford.nlp.pipeline
-
A document; that is, the equivalent of an Annotation.
- CoreNLPProtos.Document.Builder - Class in edu.stanford.nlp.pipeline
-
A document; that is, the equivalent of an Annotation.
- CoreNLPProtos.DocumentOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Entity - Class in edu.stanford.nlp.pipeline
-
A representation of an entity in a relation.
- CoreNLPProtos.Entity.Builder - Class in edu.stanford.nlp.pipeline
-
A representation of an entity in a relation.
- CoreNLPProtos.EntityOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.EvaluateParserRequest - Class in edu.stanford.nlp.pipeline
-
A protobuf for calling the java constituency parser evaluator from elsewhere
- CoreNLPProtos.EvaluateParserRequest.Builder - Class in edu.stanford.nlp.pipeline
-
A protobuf for calling the java constituency parser evaluator from elsewhere
- CoreNLPProtos.EvaluateParserRequest.ParseResult - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult
- CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult
- CoreNLPProtos.EvaluateParserRequest.ParseResultOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.EvaluateParserRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.EvaluateParserResponse - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.EvaluateParserResponse
- CoreNLPProtos.EvaluateParserResponse.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.EvaluateParserResponse
- CoreNLPProtos.EvaluateParserResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.FlattenedParseTree - Class in edu.stanford.nlp.pipeline
-
A version of ParseTree with a flattened structure so that deep trees
don't exceed the protobuf stack depth
- CoreNLPProtos.FlattenedParseTree.Builder - Class in edu.stanford.nlp.pipeline
-
A version of ParseTree with a flattened structure so that deep trees
don't exceed the protobuf stack depth
- CoreNLPProtos.FlattenedParseTree.Node - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.FlattenedParseTree.Node
- CoreNLPProtos.FlattenedParseTree.Node.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.FlattenedParseTree.Node
- CoreNLPProtos.FlattenedParseTree.Node.ContentsCase - Enum in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.FlattenedParseTree.NodeOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.FlattenedParseTreeOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.IndexedWord - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.IndexedWord
- CoreNLPProtos.IndexedWord.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.IndexedWord
- CoreNLPProtos.IndexedWordOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Language - Enum in edu.stanford.nlp.pipeline
-
An enumeration for the valid languages allowed in CoreNLP
- CoreNLPProtos.MapIntString - Class in edu.stanford.nlp.pipeline
-
A map from integers to strings.
- CoreNLPProtos.MapIntString.Builder - Class in edu.stanford.nlp.pipeline
-
A map from integers to strings.
- CoreNLPProtos.MapIntStringOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.MapStringString - Class in edu.stanford.nlp.pipeline
-
A map from strings to strings.
- CoreNLPProtos.MapStringString.Builder - Class in edu.stanford.nlp.pipeline
-
A map from strings to strings.
- CoreNLPProtos.MapStringStringOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Mention - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.Mention
- CoreNLPProtos.Mention.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.Mention
- CoreNLPProtos.MentionOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.MorphologyRequest - Class in edu.stanford.nlp.pipeline
-
Sent in Morphology requests - a stream of sentences with tagged words
- CoreNLPProtos.MorphologyRequest.Builder - Class in edu.stanford.nlp.pipeline
-
Sent in Morphology requests - a stream of sentences with tagged words
- CoreNLPProtos.MorphologyRequest.TaggedWord - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord
- CoreNLPProtos.MorphologyRequest.TaggedWord.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord
- CoreNLPProtos.MorphologyRequest.TaggedWordOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.MorphologyRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.MorphologyResponse - Class in edu.stanford.nlp.pipeline
-
Sent back from the Morphology request - the words and their tags
- CoreNLPProtos.MorphologyResponse.Builder - Class in edu.stanford.nlp.pipeline
-
Sent back from the Morphology request - the words and their tags
- CoreNLPProtos.MorphologyResponse.WordTagLemma - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma
- CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma
- CoreNLPProtos.MorphologyResponse.WordTagLemmaOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.MorphologyResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.NaturalLogicRelation - Enum in edu.stanford.nlp.pipeline
-
The seven informative Natural Logic relations
- CoreNLPProtos.NERMention - Class in edu.stanford.nlp.pipeline
-
An NER mention in the text
- CoreNLPProtos.NERMention.Builder - Class in edu.stanford.nlp.pipeline
-
An NER mention in the text
- CoreNLPProtos.NERMentionOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Operator - Class in edu.stanford.nlp.pipeline
-
A Natural Logic operator
- CoreNLPProtos.Operator.Builder - Class in edu.stanford.nlp.pipeline
-
A Natural Logic operator
- CoreNLPProtos.OperatorOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.ParseTree - Class in edu.stanford.nlp.pipeline
-
A syntactic parse tree, with scores.
- CoreNLPProtos.ParseTree.Builder - Class in edu.stanford.nlp.pipeline
-
A syntactic parse tree, with scores.
- CoreNLPProtos.ParseTreeOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Polarity - Class in edu.stanford.nlp.pipeline
-
The polarity of a word, according to Natural Logic
- CoreNLPProtos.Polarity.Builder - Class in edu.stanford.nlp.pipeline
-
The polarity of a word, according to Natural Logic
- CoreNLPProtos.PolarityOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Quote - Class in edu.stanford.nlp.pipeline
-
A quotation marker in text
- CoreNLPProtos.Quote.Builder - Class in edu.stanford.nlp.pipeline
-
A quotation marker in text
- CoreNLPProtos.QuoteOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Relation - Class in edu.stanford.nlp.pipeline
-
A representation of a relation, mirroring RelationMention
- CoreNLPProtos.Relation.Builder - Class in edu.stanford.nlp.pipeline
-
A representation of a relation, mirroring RelationMention
- CoreNLPProtos.RelationOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.RelationTriple - Class in edu.stanford.nlp.pipeline
-
An OpenIE relation triple.
- CoreNLPProtos.RelationTriple.Builder - Class in edu.stanford.nlp.pipeline
-
An OpenIE relation triple.
- CoreNLPProtos.RelationTripleOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Section - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.Section
- CoreNLPProtos.Section.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.Section
- CoreNLPProtos.SectionOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexRequest - Class in edu.stanford.nlp.pipeline
-
A message for requesting a semgrex
Each sentence stores information about the tokens making up the
corresponding graph
An alternative would have been to use the existing Document or
Sentence classes, but the problem with that is it would be
ambiguous which dependency object to use.
- CoreNLPProtos.SemgrexRequest.Builder - Class in edu.stanford.nlp.pipeline
-
A message for requesting a semgrex
Each sentence stores information about the tokens making up the
corresponding graph
An alternative would have been to use the existing Document or
Sentence classes, but the problem with that is it would be
ambiguous which dependency object to use.
- CoreNLPProtos.SemgrexRequest.Dependencies - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies
- CoreNLPProtos.SemgrexRequest.Dependencies.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies
- CoreNLPProtos.SemgrexRequest.DependenciesOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexResponse - Class in edu.stanford.nlp.pipeline
-
The response from running a semgrex
If you pass in M semgrex expressions and N dependency graphs,
this returns MxN nested results.
- CoreNLPProtos.SemgrexResponse.Builder - Class in edu.stanford.nlp.pipeline
-
The response from running a semgrex
If you pass in M semgrex expressions and N dependency graphs,
this returns MxN nested results.
- CoreNLPProtos.SemgrexResponse.GraphResult - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult
- CoreNLPProtos.SemgrexResponse.GraphResult.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult
- CoreNLPProtos.SemgrexResponse.GraphResultOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexResponse.Match - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.Match
- CoreNLPProtos.SemgrexResponse.Match.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.Match
- CoreNLPProtos.SemgrexResponse.MatchOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexResponse.NamedEdge - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge
- CoreNLPProtos.SemgrexResponse.NamedEdge.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge
- CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexResponse.NamedNode - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode
- CoreNLPProtos.SemgrexResponse.NamedNode.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode
- CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexResponse.NamedRelation - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation
- CoreNLPProtos.SemgrexResponse.NamedRelation.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation
- CoreNLPProtos.SemgrexResponse.NamedRelationOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexResponse.SemgrexResult - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult
- CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult
- CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SemgrexResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Sentence - Class in edu.stanford.nlp.pipeline
-
The serialized version of a CoreMap representing a sentence.
- CoreNLPProtos.Sentence.Builder - Class in edu.stanford.nlp.pipeline
-
The serialized version of a CoreMap representing a sentence.
- CoreNLPProtos.SentenceFragment - Class in edu.stanford.nlp.pipeline
-
An entailed sentence fragment.
- CoreNLPProtos.SentenceFragment.Builder - Class in edu.stanford.nlp.pipeline
-
An entailed sentence fragment.
- CoreNLPProtos.SentenceFragmentOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SentenceOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Sentiment - Enum in edu.stanford.nlp.pipeline
-
An enumeration of valid sentiment values for the sentiment classifier.
- CoreNLPProtos.Span - Class in edu.stanford.nlp.pipeline
-
A Span of text
- CoreNLPProtos.Span.Builder - Class in edu.stanford.nlp.pipeline
-
A Span of text
- CoreNLPProtos.SpanOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SpeakerInfo - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
- CoreNLPProtos.SpeakerInfo.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
- CoreNLPProtos.SpeakerInfoOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SsurgeonRequest - Class in edu.stanford.nlp.pipeline
-
A message for processing an Ssurgeon
Each sentence stores information about the tokens making up the
corresponding graph
An alternative would have been to use the existing Document or
Sentence classes, but the problem with that is it would be
ambiguous which dependency object to use.
- CoreNLPProtos.SsurgeonRequest.Builder - Class in edu.stanford.nlp.pipeline
-
A message for processing an Ssurgeon
Each sentence stores information about the tokens making up the
corresponding graph
An alternative would have been to use the existing Document or
Sentence classes, but the problem with that is it would be
ambiguous which dependency object to use.
- CoreNLPProtos.SsurgeonRequest.Ssurgeon - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon
- CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon
- CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SsurgeonRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SsurgeonResponse - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse
- CoreNLPProtos.SsurgeonResponse.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse
- CoreNLPProtos.SsurgeonResponse.SsurgeonResult - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult
- CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult
- CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.SsurgeonResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Timex - Class in edu.stanford.nlp.pipeline
-
A Timex object, representing a temporal expression (TIMe EXpression)
These fields are not *really* optional.
- CoreNLPProtos.Timex.Builder - Class in edu.stanford.nlp.pipeline
-
A Timex object, representing a temporal expression (TIMe EXpression)
These fields are not *really* optional.
- CoreNLPProtos.TimexOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.Token - Class in edu.stanford.nlp.pipeline
-
The serialized version of a Token (a CoreLabel).
- CoreNLPProtos.Token.Builder - Class in edu.stanford.nlp.pipeline
-
The serialized version of a Token (a CoreLabel).
- CoreNLPProtos.TokenLocation - Class in edu.stanford.nlp.pipeline
-
The index of a token in a document, including the sentence
index and the offset.
- CoreNLPProtos.TokenLocation.Builder - Class in edu.stanford.nlp.pipeline
-
The index of a token in a document, including the sentence
index and the offset.
- CoreNLPProtos.TokenLocationOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TokenOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TokensRegexRequest - Class in edu.stanford.nlp.pipeline
-
It's possible to send in a whole document, but we
only care about the Sentences and Tokens
- CoreNLPProtos.TokensRegexRequest.Builder - Class in edu.stanford.nlp.pipeline
-
It's possible to send in a whole document, but we
only care about the Sentences and Tokens
- CoreNLPProtos.TokensRegexRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TokensRegexResponse - Class in edu.stanford.nlp.pipeline
-
The result will be a nested structure:
repeated PatternMatch, one for each pattern
each PatternMatch has a repeated Match,
which tells you which sentence matched and where
- CoreNLPProtos.TokensRegexResponse.Builder - Class in edu.stanford.nlp.pipeline
-
The result will be a nested structure:
repeated PatternMatch, one for each pattern
each PatternMatch has a repeated Match,
which tells you which sentence matched and where
- CoreNLPProtos.TokensRegexResponse.Match - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.Match
- CoreNLPProtos.TokensRegexResponse.Match.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.Match
- CoreNLPProtos.TokensRegexResponse.MatchLocation - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation
- CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation
- CoreNLPProtos.TokensRegexResponse.MatchLocationOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TokensRegexResponse.MatchOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TokensRegexResponse.PatternMatch - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch
- CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch
- CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TokensRegexResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TsurgeonRequest - Class in edu.stanford.nlp.pipeline
-
A protobuf for running Tsurgeon operations on constituency trees
- CoreNLPProtos.TsurgeonRequest.Builder - Class in edu.stanford.nlp.pipeline
-
A protobuf for running Tsurgeon operations on constituency trees
- CoreNLPProtos.TsurgeonRequest.Operation - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TsurgeonRequest.Operation
- CoreNLPProtos.TsurgeonRequest.Operation.Builder - Class in edu.stanford.nlp.pipeline
-
Protobuf type edu.stanford.nlp.pipeline.TsurgeonRequest.Operation
- CoreNLPProtos.TsurgeonRequest.OperationOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TsurgeonRequestOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPProtos.TsurgeonResponse - Class in edu.stanford.nlp.pipeline
-
The results of the Tsurgeon operation
- CoreNLPProtos.TsurgeonResponse.Builder - Class in edu.stanford.nlp.pipeline
-
The results of the Tsurgeon operation
- CoreNLPProtos.TsurgeonResponseOrBuilder - Interface in edu.stanford.nlp.pipeline
-
- CoreNLPServlet - Class in edu.stanford.nlp.pipeline.webapp
-
- CoreNLPServlet() - Constructor for class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
-
- CoreQuote - Class in edu.stanford.nlp.pipeline
-
Wrapper around a CoreMap representing a quote.
- CoreQuote(CoreDocument, CoreMap) - Constructor for class edu.stanford.nlp.pipeline.CoreQuote
-
- CoreSentence - Class in edu.stanford.nlp.pipeline
-
- CoreSentence(CoreDocument, CoreMap) - Constructor for class edu.stanford.nlp.pipeline.CoreSentence
-
- CoreTokenFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.process
-
To make tokens like CoreMap or CoreLabel.
- CoreUtilities - Class in edu.stanford.nlp.ling
-
- corporaDict - Variable in class edu.stanford.nlp.wordseg.NonDict2
-
- CORPORATE_SUFFIXES - Static variable in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
-
- CorpusChar - Class in edu.stanford.nlp.wordseg
-
Check tag of each character from 5 different corpora.
- CorpusChar(String) - Constructor for class edu.stanford.nlp.wordseg.CorpusChar
-
- CorpusDictionary - Class in edu.stanford.nlp.wordseg
-
Check if a bigram exists in bakeoff corpora.
- CorpusDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.CorpusDictionary
-
Load a dictionary of words.
- CorpusDictionary(String, boolean) - Constructor for class edu.stanford.nlp.wordseg.CorpusDictionary
-
- CorpusStats() - Constructor for class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CorpusStats
-
- CorpusStats() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorpusStats
-
- correct(double, int) - Static method in class edu.stanford.nlp.classify.PRCurve
-
- correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively modify the TypedDependencyGraph
to correct
language-dependent dependencies.
- correctDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- correctDependencies(SemanticGraph) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- correctGuesses - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- correctTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
'Correct' tags to produce verbs in VPs, etc.
- cosine(SimpleMatrix, SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Compute cosine distance between two column vectors.
- cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- cost(K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
-
- cost(K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
-
- cost(K, K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
-
- cost(K, K, int) - Method in interface edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction
-
- CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
-
- costs - Variable in class edu.stanford.nlp.coref.statistical.MaxMarginMentionRanker
-
- COUNT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- countAnywhere(Tree) - Method in class edu.stanford.nlp.trees.treebank.PunctCountingTreeVisitor
-
- CountClosedTags - Class in edu.stanford.nlp.tagger.util
-
Implements Chris's heuristic for when a closed tag class can be
treated as a closed tag.
- countCloseToZero(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countCommas(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- countDoubleNumMods(List<SceneGraphImage>) - Static method in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- countEntityResults(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
For a sequence labeling task with multi-token entities, like NER,
this works out TP, FN, FP counts that can be used for entity-level
F1 results.
- Counter<E> - Interface in edu.stanford.nlp.stats
-
An Object to double map used for keeping weights or counts for objects.
- counter - Variable in class edu.stanford.nlp.stats.Distribution
-
- Counters - Class in edu.stanford.nlp.stats
-
Static methods for operating on a
Counter
.
- counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns a read-only synchronous view (not a snapshot) of
this
as a
ClassicCounter
.
- countFinal(Tree) - Method in class edu.stanford.nlp.trees.treebank.PunctCountingTreeVisitor
-
- countHistory(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countLengthAccuracy(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
-
- countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
-
- countMWEStatistics(Tree, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>) - Static method in class edu.stanford.nlp.international.french.pipeline.MWEPreprocessor
-
- countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countNegative(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countNewLines(String, int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- countNode(Tree, IntCounter<String>) - Method in class edu.stanford.nlp.trees.treebank.PunctCountingTreeVisitor
-
- countNonZero(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countOriginalStates() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
-
Count all the internal labels in all the trees, and set their
initial state counts to 1.
- countPositive(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- countResults(List<IN>, Counter<String>, Counter<String>, Counter<String>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Count results using a method appropriate for the tag scheme being used.
- countResults(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>, boolean) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- countResultsPerToken(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
Count the successes and failures of the model on the given document
***token-based***.
- countResultsSegmenter(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- countries - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- countries - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- COUNTRIES_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- COUNTRIES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- countRoot(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- countSpanErrors(TreebankLanguagePack, Tree, Tree) - Static method in class edu.stanford.nlp.parser.metrics.TreeSpanScoring
-
Counts how many spans are present in goldTree, including
preterminals, but not present in guessTree, along with how many
spans are present in guessTree and not goldTree.
- countTree(Tree) - Method in class edu.stanford.nlp.neural.rnn.TopNGramRecord
-
Adds the tree and all its subtrees to the appropriate
PriorityQueues for each predicted class.
- countTree(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- CountTrees - Class in edu.stanford.nlp.parser.tools
-
Counts the number of trees in a (PTB format) treebank file.
- CountTrees() - Constructor for class edu.stanford.nlp.parser.tools.CountTrees
-
- countUnks(Tree) - Method in class edu.stanford.nlp.sentiment.Evaluate
-
Keep track of how many trees have at least one unknown, and how
many of those have the top level annotation correct.
- countVerbs(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- CountWrapper - Class in edu.stanford.nlp.tagger.maxent
-
A simple data structure for some tag counts.
- CountWrapper() - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- CountWrapper(String, int, int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- COVER_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
-
COVER = 5;
- CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
-
- cp(File, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
An implementation of cp, as close to the Unix command as possible.
- cp(File, File) - Static method in class edu.stanford.nlp.io.IOUtils
-
- cPOS - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Use coarse POS instead of fine-grained POS if cPOS = true.
- cPosDef - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
-
- crawl(IndexedWord, SemanticGraph, Set<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
-
- crawl(IndexedWord, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
-
- crcdate - Variable in class edu.stanford.nlp.ie.pascal.DateTemplate
-
- create(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
-
- create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
-
- create(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiTokenPatternExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiTokenPatternExtractRuleCreator
-
- create(Env, String, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
-
- create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
-
- create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
-
- create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceEndPatternExpr
-
- create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceStartPatternExpr
-
- create() - Method in class edu.stanford.nlp.loglinear.benchmarks.ConcatVectorBenchmark.ConcatVectorConstructionRecord
-
- create(String) - Static method in class edu.stanford.nlp.patterns.ConstantsAndVariables.ScorePhraseMeasures
-
- create(InputStream) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
-
- create(Reader) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
-
- create(InputStream) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
-
- create(InputStream, String) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
-
- create(Reader) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
-
- create(InputStream) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
-
- create(InputStream, String) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
-
- create(Reader) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
-
- create(InputStream, String) - Method in class edu.stanford.nlp.pipeline.SerializedAnnotationCreator
-
- create(Expressions.CompositeValue) - Static method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- create() - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(String, Properties) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(String) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(String, String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- create(int, float, boolean, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
Creates a new file-backed CacheMap or loads it in from the specified file
if it already exists.
- create(int, float, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
- create(int, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
- create(String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
-
- create() - Method in interface edu.stanford.nlp.util.Factory
-
Creates and returns a new instance of the given type.
- create(String) - Static method in class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass (helper method)
- create(Class<?>) - Static method in class edu.stanford.nlp.util.MetaClass
-
Creates a new MetaClass (helper method)
- CREATE_REGEX_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- createAddNode(String, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
- createAddNode(IndexedWord, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
- createAnnotationExtractor(Env, SequenceMatchRules.AnnotationExtractRule) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createArrays(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
- createAssignmentRule(Env, AssignableExpression, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createCanonicalMentionMap(List<List<CoreMap>>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
-
- createClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ClassifierCreator
-
- createClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- CreateClauseDataset - Class in edu.stanford.nlp.naturalli
-
A script to convert a TSV dump from our KBP sentences table into a Turk-task ready clause splitting dataset.
- createCoreMap(CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- createDataset(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- createDataset(List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
Given a list of sentences (as CoreMaps), wrap it in a new Annotation.
- createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- createDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
-
- createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
-
- createDocument() - Static method in class edu.stanford.nlp.time.XMLUtils
-
- createElement(String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- createEngAddEdge(String, String, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
- createEngAddEdge(String, String, String, double) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
- createExtractionRule(Env, Map<String, Object>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createExtractionRule(Env, String, Object, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createExtractor() - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
-
- createExtractor() - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- createExtractor(String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- createExtractor() - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns
-
Creates a CoreMapExpressionExtractor that knows how
to extract time related expressions from text into CoreMaps
- createExtractorFromFile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given filename.
- createExtractorFromFiles(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given filenames.
- createExtractorFromFiles(Env, List<String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given filenames.
- createExtractorFromString(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Creates an extractor using the specified environment, and reading the rules from the given string
- createFactory(Class<?>...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
- createFactory(String...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
- createFactory(Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates a factory for producing instances of this class from a
constructor taking objects of the types given
- createFromFile(String) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
-
- createFromFile(File) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
-
- createFromFile(String) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
-
- createFromFile(File) - Method in class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
-
- createFromFile(String) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
-
- createFromFile(File) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
-
- createFromText(String) - Method in class edu.stanford.nlp.pipeline.AbstractInputStreamAnnotationCreator
-
- createFromText(String) - Method in interface edu.stanford.nlp.pipeline.AnnotationCreator
-
- createFromText(String) - Method in class edu.stanford.nlp.pipeline.TextAnnotationCreator
-
- createGraphFromPaths(List, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
-
If markovOrder is zero, we always transition back to the start state
If markovOrder is negative, we assume that it is infinite
- createGraphFromPaths(ClassicCounter<List<T>>, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
-
- createIndex() - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
-
create an index for each parameter - the prior probs and the features with all of their values
- createIndex() - Method in class edu.stanford.nlp.maxent.Experiments
-
- createIndex(Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
-
- createIndex(Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.LuceneSentenceIndex
-
- createIndex(Class<? extends SentenceIndex>, Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.SentenceIndex
-
- createIndexedWordProtoFromCL(CoreLabel) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer
-
- createIndexedWordProtoFromIW(IndexedWord) - Method in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer
-
- createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
-
- createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
-
- createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
-
- createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
Creates an instance of the class produced in this factory
- createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
Create an instance of the class, inferring the type automatically, and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
- createInstance(Class<E>, Object...) - Method in class edu.stanford.nlp.util.MetaClass
-
Creates an instance of the class, forcing a cast to a certain type and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
- createLinearClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- createMatchedExpression(Interval<Integer>, Interval<Integer>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- createMultiTokenPatternRule(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createNameMatcher() - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- createNERClassifierCombiner(String, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
- createNERClassifierCombiner(String, Set<String>, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
- createOrGet(String) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- createOrGet(String, String) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- createOrGet(String, String, Counter<String>) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- createOutputter(Properties, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- createPats - Variable in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- createPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- CreatePatterns<E> - Class in edu.stanford.nlp.patterns.surface
-
- CreatePatterns(Properties, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.CreatePatterns
-
- CreatePatterns.CreatePatternsThread - Class in edu.stanford.nlp.patterns.surface
-
- CreatePatternsThread(Map<String, DataInstance>, List<String>, Properties, ConstantsAndVariables.PatternForEachTokenWay) - Constructor for class edu.stanford.nlp.patterns.surface.CreatePatterns.CreatePatternsThread
-
- createProbabilisticClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
-
- createProbabilisticClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifierCreator
-
- createRandomGraph(int, int, double, int, List<List<String>>) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
-
For testing only.
- createRandomPaths(int, int, double, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
-
- createRecord(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- createRecords(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- createRule(Env, Expressions.CompositeValue) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- CreateSubtreeNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Given the start and end children of a particular node, takes all
children between start and end (including the endpoints) and
combines them in a new node with the given label.
- CreateSubtreeNode(TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
-
- CreateSubtreeNode(TsurgeonPattern, TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
-
- createTagAndWordNode(String, String) - Static method in class edu.stanford.nlp.international.french.scripts.FrenchTreebankUDUpdater
-
- createTagAndWordNode(String, String) - Static method in class edu.stanford.nlp.international.german.scripts.GermanTreebankUDUpdater
-
- createTemporal(SUTime.StandardTemporalType, T) - Static method in class edu.stanford.nlp.time.SUTime
-
- createTemporal(SUTime.StandardTemporalType, String, T) - Static method in class edu.stanford.nlp.time.SUTime
-
- createTemporal(SUTime.StandardTemporalType, String, String, T) - Static method in class edu.stanford.nlp.time.SUTime
-
- createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- createTestDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- createTestDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
-
- createTextNode(String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- createTextPatternRule(Env, String, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- createTokenPatternRule(Env, SequencePattern.PatternExpr, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- CreateTransitionSequence - Class in edu.stanford.nlp.parser.shiftreduce
-
- createTransitionSequence(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
-
- createTransitionSequence(Tree, boolean, Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
-
- createTransitionSequences(List<Tree>, boolean, Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
-
- createTransitionSequences(List<Tree>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
-
- createUnrelatedRelation(RelationMentionFactory, ExtractionObject...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
- createUnrelatedRelations - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
If true, it creates automatically negative examples by generating all combinations between EntityMentions in a sentence
This is the common behavior, but for some domain (i.e., KBP) it must disabled.
- createUnrelatedRelations - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- createUnrelatedRelations - Variable in class edu.stanford.nlp.ie.machinereading.RelationExtractorResultsPrinter
-
- createUpsertFunction() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- createUpsertFunctionPatternIndex() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- createValue(String, T, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
-
- CRFBiasedClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
CRFBiasedClassifier is used to adjust the precision-recall tradeoff
of any CRF model implemented using CRFClassifier.
- CRFBiasedClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- CRFBiasedClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
- CRFClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Class for sequence classification using a Conditional Random Field model.
- CRFClassifier() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
- CRFClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
- CRFClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
- CRFClassifier(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
-
Makes a copy of the crf classifier
- CRFClassifierEvaluator<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Evaluates a CRFClassifier on a set of data.
- CRFClassifierEvaluator(String, CRFClassifier<IN>, Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- CRFClassifierEvaluator(String, CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- CRFClassifierFloat<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of CRFClassifier that performs dropout feature-noisying training
- CRFClassifierFloat() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
-
- CRFClassifierFloat(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
-
- CRFClassifierFloat(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
-
- CRFClassifierNoisyLabel<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of CRFClassifier for modeling noisy label
- CRFClassifierNoisyLabel(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
-
- CRFClassifierNonlinear<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of
CRFClassifier
for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear ...].
- CRFClassifierNonlinear() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- CRFClassifierNonlinear(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- CRFClassifierNonlinear(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- CRFClassifierWithDropout<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of CRFClassifier that performs dropout feature-noising training.
- CRFClassifierWithDropout(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
-
- CRFClassifierWithLOP<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Subclass of
CRFClassifier
for learning Logarithmic Opinion Pools.
- CRFClassifierWithLOP() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
-
- CRFClassifierWithLOP(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
-
- CRFClassifierWithLOP(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
-
- CRFCliqueTree<E> - Class in edu.stanford.nlp.ie.crf
-
Builds a CliqueTree (an array of FactorTable) and does message passing
inference along it.
- CRFCliqueTree(FactorTable[], Index<E>, E) - Constructor for class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Initialize a clique tree.
- CRFDataExtractor - Class in edu.stanford.nlp.scenegraph
-
- CRFDataExtractor() - Constructor for class edu.stanford.nlp.scenegraph.CRFDataExtractor
-
- CRFDatum<FEAT,LAB> - Class in edu.stanford.nlp.ie.crf
-
The representation of Datums used internally in CRFClassifier.
- CRFDatum(List<FEAT>, LAB, List<double[]>) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
-
Constructs a new BasicDatum with the given features and label.
- CRFFeatureExporter<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
-
Exports CRF features for use with other programs.
- CRFFeatureExporter(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFFeatureExporter
-
- CRFLabel - Class in edu.stanford.nlp.ie.crf
-
- CRFLabel(int[]) - Constructor for class edu.stanford.nlp.ie.crf.CRFLabel
-
- CRFLogConditionalObjectiveFloatFunction - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunctionForLOP - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunctionNoisyLabel - Class in edu.stanford.nlp.ie.crf
-
- CRFLogConditionalObjectiveFunctionWithDropout - Class in edu.stanford.nlp.ie.crf
-
- CRFNonLinearLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
-
- CRFNonLinearSecondOrderLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
-
- CRForder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- crfSegmenterProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- crfToExamine - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- crfType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- CRFwindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- cross(Set<E>, Set<F>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the set cross product of s1 and s2, as Pair
s
- CROSS_OUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- crossEntropy(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Note that this implementation doesn't normalize the "from" Counter.
- crosses(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
-
Detects whether this constituent overlaps a constituent without
nesting, that is, whether they "cross".
- crosses(Collection<Constituent>) - Method in class edu.stanford.nlp.trees.Constituent
-
Detects whether this constituent overlaps any of a Collection of
Constituents without
nesting, that is, whether it "crosses" any of them.
- crossValidate(GeneralDataset<String, String>, List<String[]>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
-
Run cross-validation on a dataset, and return accuracy and macro-F1 scores.
- crossValidate - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- crossValidateSetC(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
This method will cross validate on the given data and number of folds
to find the optimal C.
- crossValidateSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
Sets the sigma parameter to a value that optimizes the cross-validation score given by scorer
.
- CrossValidateTestOptions - Class in edu.stanford.nlp.parser.dvparser
-
- CrossValidateTestOptions() - Constructor for class edu.stanford.nlp.parser.dvparser.CrossValidateTestOptions
-
- CrossValidator<L,F> - Class in edu.stanford.nlp.classify
-
This class is meant to simplify performing cross validation of
classifiers for hyper-parameters.
- CrossValidator(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.CrossValidator
-
- CrossValidator(GeneralDataset<L, F>, int) - Constructor for class edu.stanford.nlp.classify.CrossValidator
-
- CrossValidator.SavedState - Class in edu.stanford.nlp.classify
-
- ctb_pre_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
-
- ctb_suf_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
-
- CtbDict - Class in edu.stanford.nlp.tagger.maxent
-
- CTBErrorCorrectingTreeNormalizer - Class in edu.stanford.nlp.trees.international.pennchinese
-
This was originally written to correct a few errors Galen found in CTB3.
- CTBErrorCorrectingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
Constructor with all of the options of the other constructor false
- CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
-
Build a CTBErrorCorrectingTreeNormalizer.
- CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
So you can create a TreeReaderFactory using this TreeNormalizer easily by reflection.
- CTBErrorCorrectingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory
-
- CTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
The CTBTreeReaderFactory
is a factory for creating a
TreeReader suitable for the Penn Chinese Treebank (CTB).
- CTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
- CTBTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
- CTBTreeReaderFactory(TreeNormalizer, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
-
- CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
-
- CTBunkDict - Class in edu.stanford.nlp.tagger.maxent
-
- CUR_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- curElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- curF1 - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- CURRENCY_SYMBOL_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- CURRENCY_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- CURRENCY_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- CURRENCY_WORDS_VALUES - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- current() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
The current Redwood configuration; this is used to make incremental changes
to an existing custom configuration.
- CURRENT_KEY - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
- CURRENT_SIEVE_FOR_TRAIN_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- currentDate() - Method in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
helper for return current date
- currentDocId - Static variable in class edu.stanford.nlp.coref.statistical.Clusterer
-
- currentDocumentID - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
-
- currentPatternWeights - Variable in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- currentSummary() - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- currentToken - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
This is the last token that has been consumed successfully.
- currentToken - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
This is the last token that has been consumed successfully.
- currentToken - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
This is the last token that has been consumed successfully.
- currentToken - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
This is the last token that has been consumed successfully.
- custom(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
- CUSTOM_ANNOTATOR_PREFIX - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- CustomAnnotationSerializer - Class in edu.stanford.nlp.pipeline
-
Serializes Annotation objects using our own format.
- CustomAnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
-
- CustomAnnotationSerializer(boolean, boolean) - Constructor for class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
-
- CustomDateFormatExtractor(String, String) - Constructor for class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- customTreeVisitor - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- cutoffRelations - Variable in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
-
- CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
Minimum support * KL to be included in output and as feature
- CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
Minimum support * KL to be included in output and as feature
- cutoffTags - Static variable in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
-
- cvAveragedModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
-
Cross-validate over the number of models to average, using the
dev set, to figure out which number between 1 and averagedModels
we actually want to use
- cwa() - Method in class edu.stanford.nlp.classify.PRCurve
-
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
- cwaArray() - Method in class edu.stanford.nlp.classify.PRCurve
-
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
- CYAN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- CyclicGraphException - Exception in edu.stanford.nlp.graph
-
- CyclicGraphException(String, DirectedMultiGraph<?, ?>) - Constructor for exception edu.stanford.nlp.graph.CyclicGraphException
-
- d - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
-
- D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
-
- D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
-
- D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
-
- DAILY - Static variable in class edu.stanford.nlp.time.SUTime
-
- dampDDStepSizeWithAlignmentProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dash() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append '-' to the current feature name
- data - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- data - Variable in class edu.stanford.nlp.classify.GeneralDataset
-
- data - Variable in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
-
- data - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Normally, this contains the data.
- data - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- data - Variable in class edu.stanford.nlp.maxent.Problem
-
This is the training data.
- Data - Class in edu.stanford.nlp.patterns
-
- Data() - Constructor for class edu.stanford.nlp.patterns.Data
-
- Data(List<XMLToAnnotation.GoldQuoteInfo>, List<Person>, Annotation) - Constructor for class edu.stanford.nlp.quoteattribution.XMLToAnnotation.Data
-
- data() - Method in class edu.stanford.nlp.stats.DataSeries.ArrayDataSeries
-
- data() - Method in class edu.stanford.nlp.stats.DataSeries.ListDataSeries
-
- DATA_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
- dataDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- dataDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- dataDimension() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
Data dimension must return the size of the data used by the function.
- DataFilePaths - Class in edu.stanford.nlp.util
-
Simple utility class: reads the environment variable in
ENV_VARIABLE and provides a method that converts strings which
start with that environment variable to file paths.
- DataGeneric - Class in edu.stanford.nlp.maxent
-
A class representing a data item with an array of inputs X and a String classification Y.
- DataGeneric() - Constructor for class edu.stanford.nlp.maxent.DataGeneric
-
- DataInstance - Class in edu.stanford.nlp.patterns
-
It's a list of Corelabels for SurfacePattern, Dependency parse for DepPattern etc
Created by sonalg on 11/1/14.
- DataInstance() - Constructor for class edu.stanford.nlp.patterns.DataInstance
-
- DataInstanceDep - Class in edu.stanford.nlp.patterns.dep
-
Created by sonalg on 11/1/14.
- DataInstanceDep(CoreMap) - Constructor for class edu.stanford.nlp.patterns.dep.DataInstanceDep
-
- DataInstanceSurface - Class in edu.stanford.nlp.patterns.surface
-
Created by sonalg on 11/1/14.
- DataInstanceSurface(List<CoreLabel>) - Constructor for class edu.stanford.nlp.patterns.surface.DataInstanceSurface
-
- dataIterable - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
Alternatively, the data may be available from an Iterable in not yet
indexed form.
- DataSentsIterator(boolean) - Constructor for class edu.stanford.nlp.patterns.ConstantsAndVariables.DataSentsIterator
-
- DataSeries - Interface in edu.stanford.nlp.stats
-
A DataSeries
represents a named sequence of double
values, and optionally refers to another DataSeries
as its
domain.
- DataSeries.AbstractDataSeries - Class in edu.stanford.nlp.stats
-
- DataSeries.ArrayDataSeries - Class in edu.stanford.nlp.stats
-
- DataSeries.AverageDataSeries - Class in edu.stanford.nlp.stats
-
- DataSeries.FunctionDataSeries - Class in edu.stanford.nlp.stats
-
- DataSeries.ListDataSeries - Class in edu.stanford.nlp.stats
-
- Dataset<L,F> - Class in edu.stanford.nlp.classify
-
- Dataset() - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(int) - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
-
- Dataset(Index<L>, int[], Index<F>, int[][]) - Constructor for class edu.stanford.nlp.classify.Dataset
-
Constructor that fully specifies a Dataset.
- Dataset(Index<L>, int[], Index<F>, int[][], int) - Constructor for class edu.stanford.nlp.classify.Dataset
-
Constructor that fully specifies a Dataset.
- Dataset - Class in edu.stanford.nlp.parser.nndep
-
Defines a list of training / testing examples in multi-class classification setting.
- dataset - Variable in class edu.stanford.nlp.quoteattribution.Sieves.training.SupervisedSieveTraining.FeaturesData
-
- Dataset - Interface in edu.stanford.nlp.trees.treebank
-
A generic interface loading, processing, and writing a data set.
- Dataset.Encoding - Enum in edu.stanford.nlp.trees.treebank
-
- datasetAuxReaderClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- DatasetBuilder - Class in edu.stanford.nlp.coref.statistical
-
Produces train/dev/test sets for training coreference models with (optionally) sampling.
- DatasetBuilder() - Constructor for class edu.stanford.nlp.coref.statistical.DatasetBuilder
-
- DatasetBuilder(double, int) - Constructor for class edu.stanford.nlp.coref.statistical.DatasetBuilder
-
- datasetFile - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- datasetReaderClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- datasetToString(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- dataSize() - Method in interface edu.stanford.nlp.optimization.SparseOnlineFunction
-
- dataweights - Variable in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
-
- dataWeights - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- dataweights - Variable in class edu.stanford.nlp.classify.LogisticObjectiveFunction
-
- DataWordTag - Class in edu.stanford.nlp.tagger.maxent
-
- DATE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- DATE_NO_HYPHENS_PATTERN - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- DATE_PATTERN1 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN2 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN3 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN4 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PATTERN5 - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_PROPER_FORMAT - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- DATE_TAG - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- DATE_WORDS_VALUES - Static variable in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
-
- dateCliqueCounter - Variable in class edu.stanford.nlp.ie.pascal.CliqueTemplates
-
- DateTemplate - Class in edu.stanford.nlp.ie.pascal
-
- DateTemplate(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.pascal.DateTemplate
-
- DATETIME_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- dateTimePronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- dateTimePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- dateTimePronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- dateTimePronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- DateTreeTransformer - Class in edu.stanford.nlp.trees
-
Flattens the following two structures:
(NP (NP (NNP Month) (CD Day) )
(, ,)
(NP (CD Year) ))
becomes
(NP (NNP Month) (CD Day) (, ,) (CD Year) )
(NP (NP (NNP Month) )
(NP (CD Year) ))
becomes
(NP (NNP Month) (CD Year))
- DateTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DateTreeTransformer
-
- Datum<L,F> - Interface in edu.stanford.nlp.ling
-
Interface for Objects which can be described by their features.
- DAWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- DAY - Static variable in class edu.stanford.nlp.time.SUTime
-
- day - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
-
Day of Month
- DAY_OF_HALF_MONTH - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
-
- daysPerMonth - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- DAYTIME - Static variable in class edu.stanford.nlp.time.SUTime
-
- DBG - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- dbLocation - Static variable in class edu.stanford.nlp.patterns.SQLConnection
-
- dbpassword - Static variable in class edu.stanford.nlp.patterns.SQLConnection
-
- DBTableExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- dbusername - Static variable in class edu.stanford.nlp.patterns.SQLConnection
-
- dcoref(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Annotate for coreference (deterministic)
- dcoref(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations
-
Annotate for coreference (deterministic)
- dcorefDiscourse - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefExactString - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefHead1 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefHead2 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefHead3 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefHead4 - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefPreciseConstructs - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- DcorefPronounResolver - Class in edu.stanford.nlp.scenegraph
-
Pronoun resolver which uses the CoreNLP deterministic
coreference resolution system.
- DcorefPronounResolver() - Constructor for class edu.stanford.nlp.scenegraph.DcorefPronounResolver
-
- dcorefPronounSieve - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefRelaxedExactString - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcorefRelaxedHead - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- DcorefSieveOptions - Class in edu.stanford.nlp.coref.hybrid.sieve
-
- DcorefSieveOptions() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DcorefSieveOptions
-
- dcorefSpeaker - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- dcTags - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
"double count" tags rewrites as word in PCFG and Dep parser.
- deannotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- Debinarizer - Class in edu.stanford.nlp.parser.lexparser
-
Debinarizes a binary tree from the parser.
- Debinarizer(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- Debinarizer(boolean, LabelFactory) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
-
- debug(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- DEBUG - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- DEBUG - Static variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- DEBUG - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
-
- debug - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
Debug flag for learning patterns.
- DEBUG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- debug(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- debug(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- DEBUG2 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- DEBUG3 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- DEBUG_LEXICON - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- DEBUG_LEXICON_SCORE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- debugf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log to the debug channel.
- debugLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Run Redwood with SLF4J if available, otherwise with stderr logging at the debug (everything) level.
- debugLine(String, Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- debugOutputEpochs - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
-
- debugOutputFrequency - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
If larger than 0, the parser may choose to output debug information
every X seconds, X iterations, or some other similar metric
- debugPrint(PrintWriter) - Method in class edu.stanford.nlp.international.arabic.ArabicVerbStemBank
-
- debugPrintMentions(PrintStream, String, List<List<Mention>>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
- debugVector(ConcatVector, BufferedWriter) - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace
-
This prints out a ConcatVector by mapping to the namespace, to make debugging learning algorithms easier.
- DECADE - Static variable in class edu.stanford.nlp.time.SUTime
-
- DecadeOfCentury - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- Decades - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- decayLearningRate - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
-
If positive, every 10 iterations, multiply the learning rate by this amount.
- DECEMBER - Static variable in class edu.stanford.nlp.time.SUTime
-
- decimate(Writer, Writer, Writer) - Method in class edu.stanford.nlp.trees.Treebank
-
Divide a Treebank into 3, by taking every 9th sentence for the dev
set and every 10th for the test set.
- DecimatedArabicDataset - Class in edu.stanford.nlp.international.arabic.pipeline
-
Decimates a set of ATB parse trees.
- DecimatedArabicDataset() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset
-
- DecimatedArabicDataset.ArabicTreeDecimatedNormalizer - Class in edu.stanford.nlp.international.arabic.pipeline
-
- DecisionTree - Class in edu.stanford.nlp.coref.hybrid.rf
-
- DecisionTree(Index<String>) - Constructor for class edu.stanford.nlp.coref.hybrid.rf.DecisionTree
-
- DecisionTreeNode - Class in edu.stanford.nlp.coref.hybrid.rf
-
- DecisionTreeNode(int, float) - Constructor for class edu.stanford.nlp.coref.hybrid.rf.DecisionTreeNode
-
- DecisionTreeNode(int, float, DecisionTreeNode[]) - Constructor for class edu.stanford.nlp.coref.hybrid.rf.DecisionTreeNode
-
- DECNUM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- decodeArray(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Decode an array encoded as a String.
- decodeMap(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Decode a map encoded as a string.
- decreaseKey(E) - Method in class edu.stanford.nlp.util.ArrayHeap
-
Changes the position of an element o in the heap based on a
change in the ordering of o.
- decreaseKey(E) - Method in interface edu.stanford.nlp.util.Heap
-
Raises the priority of an object in the heap.
- decreasePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Demotes a key in the queue, adding it if it wasn't there already.
- decrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
decrementBatch - This decrements the curElement variable by the amount batchSize.
- decrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- decrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
-
- decrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Decrements the count for this key by the given value.
- decrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Decrements the count for this key by 1.0.
- decrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
-
Decrements the count for this key by the given value.
- decrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter
-
Decrements the count for this key by 1.0.
- decrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts the given count from the current count for the given key.
- decrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts 1 from the count for the given key.
- decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- decrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- decrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- decrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- decrementCount(E, double) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- decrementCount(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- decrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts the given count from the current counts for each of the given keys.
- decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
-
Subtracts 1 from the counts of each of the given keys.
- deepClone() - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
-
- deepCopy(List<CoreLabel>) - Static method in class edu.stanford.nlp.ling.CoreUtilities
-
- deepCopy(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- deepCopy() - Method in class edu.stanford.nlp.trees.Tree
-
Makes a deep copy of not only the Tree structure but of the labels as well.
- deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Makes a deep copy of not only the Tree structure but of the labels as well.
- deepCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
-
Makes a deep copy of not only the Tree structure but of the labels as well.
- deepCopy(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
- deepCopyFromGraphs(List<SemanticGraph>, List<Integer>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Like makeFromGraphs, but it makes a deep copy of the graphs and
renumbers the index words.
- deepMentionCopy(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
Creates a deep copy of the given dataset with new lists for all mentions (entity, relation, event)
- DeepTree - Class in edu.stanford.nlp.trees
-
A tree combined with a map from subtree to SimpleMatrix vectors.
- DeepTree(Tree, IdentityHashMap<Tree, SimpleMatrix>, double) - Constructor for class edu.stanford.nlp.trees.DeepTree
-
- DEFAULT - Static variable in class edu.stanford.nlp.naturalli.Polarity
-
The default (very permissive) polarity.
- DEFAULT_AGGREGATOR - Static variable in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- DEFAULT_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- DEFAULT_ALLOW_FLAWS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
-
- DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DEFAULT_BATCH_SIZE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training using batches of trees, such as in the DVParser,
how many trees to use in one batch
- DEFAULT_BEAM_SIZE - Static variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
-
- DEFAULT_BOUNDARY_FOLLOWERS_REGEX - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
-
Pe = Close_Punctuation (close brackets), Pf = Final_Punctuation (close quotes);
add straight quotes, PTB escaped right brackets (-RRB-, etc.), greater than as close angle bracket,
and those forms in full width range.
- DEFAULT_BOUNDARY_REGEX - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
-
Default pattern for sentence ending punctuation.
- DEFAULT_CHECKER - Static variable in class edu.stanford.nlp.stats.EquivalenceClassEval
-
A default equality checker that uses Object.equals(java.lang.Object)
to determine equality.
- DEFAULT_CHINESE_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- DEFAULT_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
-
- DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Name of default serialized classifier resource to look for in a jar file.
- DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Default place to look in Jar file for classifier.
- DEFAULT_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
- DEFAULT_DATE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_DCOREF_ANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_COUNTRIES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DEMONYM - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT1 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT2 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT3 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_DICT4 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_GENDER_NUMBER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_INANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_NE_SIGNATURES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_SINGLETON_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_STATES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DCOREF_STATES_AND_PROVINCES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DELTA_MARGIN - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_DEPENDENCY_PARSER_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_DISTRIBUTION_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- DEFAULT_DOC_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_DOCID_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_DOCTYPE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Use this as the default encoding for Readers and Writers of
Treebank data.
- DEFAULT_ENCODING - Static variable in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Use this as the default encoding for Readers and Writers of
Treebank data.
- DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- DEFAULT_ENTITY_MODEL_PATH - Static variable in class edu.stanford.nlp.scenegraph.BoWSceneGraphParser
-
- DEFAULT_EQUIVALENCE_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
-
- DEFAULT_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
-
- DEFAULT_EXTRACTOR_PRESENT - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- DEFAULT_FEATURIZER - Static variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem
-
The default featurizer to use during training.
- DEFAULT_FORMAT - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
- DEFAULT_GENDER_FIRST_NAMES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- DEFAULT_GOLD_FILENAME - Static variable in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
-
- DEFAULT_HOME - Static variable in class edu.stanford.nlp.wordseg.NonDict2
-
- DEFAULT_JAR_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- DEFAULT_K_BEST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training the DV parsing method, how many of the top K trees
to analyze from the underlying parser
- DEFAULT_KBP_CLASSIFIER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_REGEXNER_CASED - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_REGEXNER_CASELESS - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_SEMGREX_DIR - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_TOKENSREGEX_DIR - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_KBP_TOKENSREGEX_NER_SETTINGS - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_LEARNING_RATE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_MERGE_ACTION - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
-
- DEFAULT_MODEL - Static variable in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- DEFAULT_MODEL_BIAS - Static variable in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
-
- DEFAULT_MODEL_PATH - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- DEFAULT_MODEL_PATH - Static variable in class edu.stanford.nlp.scenegraph.BoWSceneGraphParser
-
- DEFAULT_MSSIEVES - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- DEFAULT_NATURALLI_AFFINITIES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NEGRA_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- DEFAULT_NER_CONLL_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NER_GAZETTE_MAPPING - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NER_MUC_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NER_THREECLASS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NEWLINE_IS_SENTENCE_BREAK - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- DEFAULT_NFL_ENTITY_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NFL_GAZETTEER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NFL_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_NLP_GROUP_MODEL_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
- DEFAULT_NUMERIC_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- DEFAULT_NUMERIC_TOKENS_AGGREGATOR - Static variable in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- DEFAULT_NUMERIC_TOKENS_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- DEFAULT_OPENIE_CLAUSE_SEARCHER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
- DEFAULT_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- DEFAULT_OUTPUT_FORMAT - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- DEFAULT_PARSER_FILE - Static variable in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
- DEFAULT_PARSER_LOC - Static variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- DEFAULT_PARSER_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_PASS_DOWN_PROPERTIES - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- DEFAULT_PLAIN_TEXT_READER - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DEFAULT_POS_MATCH_TYPE - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
-
- DEFAULT_POS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_QMSIEVES - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- DEFAULT_QN_ITERATIONS_PER_BATCH - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training the DV parsing method, how many iterations to loop
for one batch of trees
- DEFAULT_QUOTE_AUTHOR_ATTRIBUTES - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_QUOTE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_REG_L1 - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- DEFAULT_REGCOST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
regularization constant
- DEFAULT_REGEXNER_RULES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_REQUIREMENTS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
-
A mapping from an annotator to a its default transitive dependencies.
- DEFAULT_SCALING_FOR_INIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_SECTION_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_SECTION_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_SENTENCE_BOUNDARIES_TO_DISCARD - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
-
- DEFAULT_SENTENCE_ENDERS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_SENTENCE_TABLE - Static variable in interface edu.stanford.nlp.process.TSVSentenceProcessor
-
The list of fields actually in the sentence table being passed as a query to TSVSentenceProcessor.
- DEFAULT_SINGLE_SENTENCE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_SPEAKER_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_STALLED_ITERATION_LIMIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_SUP_RELATION_EX_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_TEST_FILENAME - Static variable in class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
-
- DEFAULT_TIME_EXPRESSION_EXTRACTOR_CLASS - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
-
- DEFAULT_TOKEN_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_TRAINING_ITERATIONS - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
When training a parsing method where the training has a (max)
number of iterations, how many iterations to loop
- DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
-
- DEFAULT_TRUECASE_DISAMBIGUATION_LIST - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_TRUECASE_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_TSURGEON_FILE - Static variable in class edu.stanford.nlp.trees.UniversalPOSMapper
-
- DEFAULT_UNK_WORD - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DEFAULT_USE_GOOD_TURNING_UNKNOWN_WORD_MODEL - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Parameters specific for creating a ChineseLexicon
- DEFAULT_UTTERANCE_TURN_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- DEFAULT_VALID_POS - Static variable in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
-
- DEFAULT_WIKIDICT_TSV - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
-
- DEFAULT_WORD_VECTOR_FILE - Static variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
-
RS: file for Turian's word vectors
The default value is an example of size 25 word vectors on the nlp machines
- DEFAULT_XML_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- defaultChecker() - Static method in class edu.stanford.nlp.stats.EquivalenceClassEval
-
- defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
- defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
-
Returns a set of options which should be set by default when used
in corenlp.
- defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- defaultCoreNLPFlags() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
When run inside StanfordCoreNLP, which flags should be used by default.
- defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
-
- defaultCost() - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
-
- defaultDelimitRegExIterator(Reader, String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
- defaultDelimitRegExIteratorFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
-
- defaultEncoding - Static variable in class edu.stanford.nlp.io.IOUtils
-
- defaultFile - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
-
Output to a file.
- defaultHeader - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
-
- defaultLeftRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
These are built automatically from categoriesToAvoid and used in a fairly
different fashion from defaultRule (above).
- DefaultLexicalMapper - Class in edu.stanford.nlp.international.arabic.pipeline
-
Applies a default set of lexical transformations that have been empirically validated
in various Arabic tasks.
- DefaultLexicalMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- DefaultMapper - Class in edu.stanford.nlp.trees.treebank
-
- DefaultMapper() - Constructor for class edu.stanford.nlp.trees.treebank.DefaultMapper
-
- defaultNestedResultsAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Annotation key to use during composite phase for storing matched sequences and to match against.
- DefaultPaths - Class in edu.stanford.nlp.pipeline
-
Default model paths for StanfordCoreNLP
All these paths point to files distributed with the model jar file (stanford-corenlp-models-*.jar)
- defaultProps - Variable in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.CoreNLPHandler
-
The default properties to use in the absence of anything sent by the client.
- defaultReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
This is the DocumentReaderAndWriter used for reading training and testing files.
- defaultResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
List of keys indicating what fields should be annotated for the aggregated CoreMap.
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the default return value.
- defaultReturnValue() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns the default return value.
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.IntCounter
-
- defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- defaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- defaultReturnValue() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- defaultReturnValue(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- defaultReturnValue() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- defaultRightRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
- defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Default direction if no rule is found for category (the head/parent).
- defaults - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
- defaultStringMatchFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Default flags to use for string literal match
- defaultStringPatternFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Default flags to use for string regular expressions match
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Return a default sentence of the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
Return a default sentence for the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Return a default sentence for the language (for testing)
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Return a default sentence of the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
-
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams
-
Return a default sentence of the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams
-
Return a default sentence of the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
Return a default sentence for the language (for testing)
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- defaultTestSentence() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Return a default sentence of the language (for testing).
- defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
-
Returns the first sentence of TueBaDZ.
- DefaultTeXHyphenData - Class in edu.stanford.nlp.ie.pascal
-
Default TeX hyphenation data, as borrowed from the TeX distribution.
- DefaultTeXHyphenData() - Constructor for class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
-
- defaultTextAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Annotation key to use to getting text (default is CoreAnnotations.TextAnnotation.class)
- defaultTokensAggregators - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
How should the tokens be aggregated when collapsing a sequence of tokens into one CoreMap
- defaultTokensAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Annotation key to use to getting tokens (default is CoreAnnotations.TokensAnnotation.class)
- defaultTokensResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
List of keys indicating the per-token annotations (default is null).
- defaultToPreserveSpacing(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
-
- defaultUnit - Variable in class edu.stanford.nlp.ie.qe.Unit
-
- defaultUnitScale - Variable in class edu.stanford.nlp.ie.qe.Unit
-
- defaultValue() - Method in class edu.stanford.nlp.util.PropertiesUtils.Property
-
- dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
- DELETE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- DELETE_EXCEPT_BETWEEN_ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
-
- deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- deleteCost(Object) - Method in class edu.stanford.nlp.util.EditDistance
-
- deleteDir(File) - Static method in class edu.stanford.nlp.io.FileSystem
-
Recursively deletes a directory, including all files and sub-directories.
- deleteDirRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Given a filepath, delete all files in the directory recursively
- deleteDuplicateEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Deletes all duplicate edges.
- deleteDuplicateEdges() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Delete all duplicate edges.
- DeleteGraphFromNode - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
This destroys the subgraph starting from the given node.
- DeleteGraphFromNode(String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
-
- DeleteLeaf - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
This action removes all incoming edges for the given node.
- DeleteLeaf(String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteLeaf
-
- deleteMention(CorefChain.CorefMention) - Method in class edu.stanford.nlp.coref.data.CorefChain
-
Delete a mention from this coreference chain.
- deleteMention(CorefChain.CorefMention) - Method in class edu.stanford.nlp.dcoref.CorefChain
-
Delete a mention from this coreference chain.
- deleteOutofRange(Counter<E>, int, int) - Static method in class edu.stanford.nlp.stats.Counters
-
Delete 'top' and 'bottom' number of elements from the top and bottom
respectively
- deletePhrase(CandidatePhrase) - Static method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- deleteRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Delete this file; or, if it is a directory, delete this directory and all its contents.
- deleteRelation - Variable in enum edu.stanford.nlp.naturalli.Operator
-
- deleteSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- deletionProbability(String) - Method in class edu.stanford.nlp.naturalli.NaturalLogicWeights
-
- deletionProbability(SemanticGraphEdge, Iterable<SemanticGraphEdge>) - Method in class edu.stanford.nlp.naturalli.NaturalLogicWeights
-
- DelimitRegExIterator<T> - Class in edu.stanford.nlp.objectbank
-
An Iterator that reads the contents of a Reader, delimited by the specified
delimiter, and then subsequently processed by an Function to produce
Objects of type T.
- DelimitRegExIterator(Reader, String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
- DelimitRegExIterator.DelimitRegExIteratorFactory<T> - Class in edu.stanford.nlp.objectbank
-
- DelimitRegExIteratorFactory(String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
-
- DeltaCollectionValuedMap<K,V> - Class in edu.stanford.nlp.util
-
Implementation of CollectionValuedMap that appears to store an "original"
map and changes to that map.
- DeltaCollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- deltaCopy() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Creates a "delta copy" of this Map, where only the differences
from the original Map are represented.
- deltaDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- deltaEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- DeltaIndex<E> - Class in edu.stanford.nlp.util
-
A class that has a backing index, such as a hash index you don't
want changed, and another index which will hold extra entries that
get added during the life of the index.
- DeltaIndex(Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
-
- DeltaIndex(Index<E>, Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
-
- DeltaMap<K,V> - Class in edu.stanford.nlp.util
-
A Map which wraps an original Map, and only stores the changes (deltas) from
the original Map.
- DeltaMap(Map<K, V>, MapFactory<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
-
This is very cheap.
- DeltaMap(Map<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
-
- deltaMargin - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
How much to penalize the wrong trees for how different they are
from the gold tree when training
- dem1 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- dem2 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- dem3 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- dem4 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- dem5 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- dem6 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- dem7 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- dem8 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- DEMONYM_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- DEMONYM_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- demonymSet - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- demonymSet - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- demoteQuantMod - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- dep - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
-
- dep() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- DEP_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
- DEP_MODEL - Static variable in class edu.stanford.nlp.scenegraph.SceneGraphImageDependencyParser
-
- DEP_NODENAME_ARG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
-
- dependencies(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Annotate dependency relations in sentences
- dependencies(Properties) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations
-
Annotate dependency relations in sentences
- Dependencies - Class in edu.stanford.nlp.trees
-
Utilities for Dependency objects.
- dependencies() - Method in class edu.stanford.nlp.trees.Tree
-
Return a Set of TaggedWord-TaggedWord dependencies, represented as
Dependency objects, for the Tree.
- dependencies(Predicate<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
-
- dependencies(Predicate<Dependency<Label, Label, Object>>, boolean, boolean, boolean) - Method in class edu.stanford.nlp.trees.Tree
-
Return a set of TaggedWord-TaggedWord dependencies, represented as
Dependency objects, for the Tree.
- Dependencies.DependentPuncTagRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
-
- Dependencies.DependentPuncWordRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
-
- dependenciesToCoNLLXString(GrammaticalStructure, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
Calls dependenciesToCoNLLXString with the basic dependencies
from a grammatical structure.
- dependenciesToCoNLLXString(Collection<TypedDependency>, CoreMap) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
Returns a dependency tree in CoNNL-X format.
- dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree) - Method in interface edu.stanford.nlp.trees.DependencyPrinter
-
- dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructureConversionUtils
-
- dependency - Variable in class edu.stanford.nlp.dcoref.Mention
-
- Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees
-
An individual dependency between a governor and a dependent.
- DependencyAnalyzer - Class in edu.stanford.nlp.misc
-
Parses the output of DependencyExtractor into a tree, and constructs
transitive dependency closures of any set of classes.
- DependencyAnalyzer(String) - Constructor for class edu.stanford.nlp.misc.DependencyAnalyzer
-
Constructs a DependencyAnalyzer from the output of DependencyExtractor.
- DependencyAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DependencyAnnotation
-
Deprecated.
- DependencyCorefMentionFinder - Class in edu.stanford.nlp.coref.md
-
- DependencyCorefMentionFinder(Properties) - Constructor for class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder
-
- dependencyCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
This is where all dependencies are stored (using full tag space).
- dependencyFactory() - Method in class edu.stanford.nlp.trees.CollinsDependency
-
- dependencyFactory() - Method in interface edu.stanford.nlp.trees.Dependency
-
Provide a factory for this kind of dependency
- DependencyFactory - Interface in edu.stanford.nlp.trees
-
A factory for dependencies of a certain type.
- dependencyFactory() - Method in class edu.stanford.nlp.trees.NamedDependency
-
- dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- dependencyFeatures - Static variable in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- DependencyGrammar - Interface in edu.stanford.nlp.parser.lexparser
-
An interface for DependencyGrammars.
- dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
- dependencyGraph(Properties, SemanticGraphFactory.Mode) - Method in class edu.stanford.nlp.simple.Sentence
-
Returns the dependency graph of the sentence, as a raw
SemanticGraph
object.
- dependencyGraph(Properties) - Method in class edu.stanford.nlp.simple.Sentence
-
- dependencyGraph() - Method in class edu.stanford.nlp.simple.Sentence
-
- dependencyGraph(SemanticGraphFactory.Mode) - Method in class edu.stanford.nlp.simple.Sentence
-
- dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies
-
A Comparator for Dependencies based on their dependent annotation.
- dependencyParse() - Method in class edu.stanford.nlp.pipeline.CoreSentence
-
dependency parse
- DependencyParseAnnotator - Class in edu.stanford.nlp.pipeline
-
This class adds dependency parse information to an Annotation.
- DependencyParseAnnotator() - Constructor for class edu.stanford.nlp.pipeline.DependencyParseAnnotator
-
- DependencyParseAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.DependencyParseAnnotator
-
- DependencyParser - Class in edu.stanford.nlp.parser.nndep
-
This class defines a transition-based dependency parser which makes
use of a classifier powered by a neural network.
- DependencyParser(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.DependencyParser
-
- DependencyParserCoreNLPDemo - Class in edu.stanford.nlp.parser.nndep.demo
-
Demonstrates how to use the NN dependency
parser via a CoreNLP pipeline.
- DependencyParserDemo - Class in edu.stanford.nlp.parser.nndep.demo
-
Demonstrates how to first use the tagger, then use the NN dependency
parser.
- dependencyParses(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.DependencyParseSieve
-
- DependencyParseSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.QMSieves
-
- DependencyParseSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.DependencyParseSieve
-
A logger for this class
- dependencyPath(List<SemanticGraphEdge>, IndexedWord) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- dependencyPathAsList(List<SemanticGraphEdge>, IndexedWord, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- dependencyPathBetween(int, int, Optional<Function<Sentence, List<String>>>) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
Find the dependency path between two words in a sentence.
- dependencyPathBetween(int, int) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
- DependencyPrinter - Interface in edu.stanford.nlp.trees
-
- DependencyReader - Interface in edu.stanford.nlp.trees
-
- DependencyScoring - Class in edu.stanford.nlp.trees
-
Scoring of typed dependencies
- DependencyScoring(List<Collection<TypedDependency>>, boolean) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
-
- DependencyScoring(String, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
-
- DependencyScoring(String) - Constructor for class edu.stanford.nlp.trees.DependencyScoring
-
- DependencyScoring.Score - Class in edu.stanford.nlp.trees
-
- dependencyTreePrinter - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
-
How to print a dependency tree by default for display.
- DependencyTreeTransformer - Class in edu.stanford.nlp.trees
-
Transforms an English structure parse tree in order to get the dependencies right:
-- put a ROOT node
-- remove NONE nodes
-- retain only NP-TMP, NP-ADV, UCP-TMP tags
The UCP- tags will later be turned into NP- anyway
(Note [cdm]: A lot of this overlaps other existing functionality in trees.
- DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
-
- dependencyType - Variable in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
-
Which dependencies to use for feature extraction
- DependencyTyper<T> - Interface in edu.stanford.nlp.trees
-
A generified interface for making some kind of dependency object
between a head and dependent.
- dependent() - Method in class edu.stanford.nlp.trees.CollinsDependency
-
- dependent() - Method in interface edu.stanford.nlp.trees.Dependency
-
Describes the dependent (argument/modifier) of
the dependency relation.
- DEPENDENT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
-
The "dependent" grammatical relation, which is the inverse of "governor".
- dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- DependentPuncTagRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
-
- DependentPuncWordRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
-
- dependents - Variable in class edu.stanford.nlp.coref.data.Mention
-
- dependents - Variable in class edu.stanford.nlp.dcoref.Mention
-
- DEPENDENTS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
-
- dependentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
-
- dependingVerb - Variable in class edu.stanford.nlp.coref.data.Mention
-
- dependingVerb - Variable in class edu.stanford.nlp.dcoref.Mention
-
- DEPENDINGVERB_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- DepIndexComparator() - Constructor for class edu.stanford.nlp.trees.ud.CoNLLUUtils.DepIndexComparator
-
- depName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
- depName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge
-
- depNodeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReattachNamedEdge
-
- DepPattern - Class in edu.stanford.nlp.patterns.dep
-
Created by sonalg on 10/31/14.
- DepPattern(List<Pair<Token, GrammaticalRelation>>) - Constructor for class edu.stanford.nlp.patterns.dep.DepPattern
-
- DepPattern(Token, GrammaticalRelation) - Constructor for class edu.stanford.nlp.patterns.dep.DepPattern
-
- DepPatternFactory - Class in edu.stanford.nlp.patterns.dep
-
Created by Sonal Gupta on 10/31/14.
- DepPatternFactory() - Constructor for class edu.stanford.nlp.patterns.dep.DepPatternFactory
-
- depth - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
How far down we are in the nested tags.
- depth() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns the depth of the GeneralizedCounter (i.e., the dimension
of the distribution).
- depth() - Method in class edu.stanford.nlp.trees.Tree
-
Finds the depth of the tree.
- depth(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Finds the distance from this node to the specified node.
- depth - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
-
- depthFirstSearch(boolean, StringBuilder) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- depWeight - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Weighting on dependency log probs.
- dereference() - Method in class edu.stanford.nlp.util.Pointer
-
Dereference the pointer.
- derivative(double, double) - Method in interface edu.stanford.nlp.coref.statistical.SimpleLinearClassifier.Loss
-
- derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- derivativeAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- derivativeAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- derivativeAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- derivativeAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- derivativeAt(float[]) - Method in interface edu.stanford.nlp.optimization.DiffFloatFunction
-
Returns the first-derivative vector at the input location.
- derivativeAt(double[]) - Method in interface edu.stanford.nlp.optimization.DiffFunction
-
Returns the first-derivative vector at the input location.
- derivativeAt(Counter<K>, int[]) - Method in interface edu.stanford.nlp.optimization.SparseOnlineFunction
-
- derivativeNumerator - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
This is used to cache the numerator in batch methods.
- descendants(SemanticGraph, IndexedWord, List<String>, List<IndexedWord>, boolean, Predicate<CoreLabel>, CollectionValuedMap<Integer, String>) - Static method in class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
-
- descendants(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the set of descendants governed by this node in the graph.
- descendantsTabuRelns(SemanticGraph, IndexedWord, Collection<GrammaticalRelation>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
- descendantsTabuTestAndRelns(SemanticGraph, IndexedWord, Collection<GrammaticalRelation>, Predicate<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
- descendantsTabuTestAndRelns(SemanticGraph, IndexedWord, Collection<IndexedWord>, Collection<GrammaticalRelation>, Predicate<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
- descendantsTabuTestAndRelns(SemanticGraph, IndexedWord, Collection<IndexedWord>, Collection<GrammaticalRelation>, BiPredicate<IndexedWord, SemanticGraph>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
- DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.trees.DeepTree
-
A comparator that can be used with Collections.sort() that puts
the highest scoring tree first
- DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
-
- describeDistsimLexicon() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
- description - Variable in class edu.stanford.nlp.optimization.CmdEvaluator
-
- DescriptionPattern - Class in edu.stanford.nlp.trees.tregex
-
- DescriptionPattern(Relation, boolean, String, String, boolean, Function<String, String>, List<Pair<Integer, String>>, boolean, String) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- DescriptionPattern(Relation, DescriptionPattern) - Constructor for class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- deserialize(String) - Static method in class edu.stanford.nlp.neural.VectorMap
-
Read word vectors from a file or classpath or url.
- deserialize(InputStream) - Static method in class edu.stanford.nlp.neural.VectorMap
-
Read word vectors from an input stream.
- deserialize(InputStream) - Static method in class edu.stanford.nlp.simple.Document
-
Read a document from an input stream.
- deserialize(InputStream) - Static method in class edu.stanford.nlp.simple.Sentence
-
Read a sentence from an input stream.
- deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
-
- deserializeStringCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
-
Read a Counter from a serialized file
- detectHeadToken(AceDocument) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
Detects the head word of this mention
Heuristic:
(a) the last token in mHead, if there are no prepositions
(b) the last word before the first preposition
Note: the mHead must be already matched against tokens!
- determineEntityMentionConfidences(CoreMap) - Static method in class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
-
- determineHead(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
-
Determine which daughter of the current parse tree is the head.
- determineHead(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
-
- determineHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Determine which daughter of the current parse tree is the head.
- determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Determine which daughter of the current parse tree is the head.
- determineHead(Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
-
Determine which daughter of the current parse tree is the head.
- determineHead(Tree, Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
-
Determine which daughter of the current parse tree is the head
given the parent of the tree.
- determineHead(Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
-
- determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
-
- determineHead(Tree) - Method in class edu.stanford.nlp.trees.RightHeadFinder
-
- determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.RightHeadFinder
-
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
-
Called by determineHead and may be overridden in subclasses
if special treatment is necessary for particular categories.
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
-
Called by determineHead and may be overridden in subclasses
if special treatment is necessary for particular categories.
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
-
Called by determineHead and may be overridden in subclasses
if special treatment is necessary for particular categories.
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
-
Determine which daughter of the current parse tree is the
head.
- determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.UniversalSemanticHeadFinder
-
Determine which daughter of the current parse tree is the
head.
- determineNumFields(String, String) - Static method in class edu.stanford.nlp.io.RecordIterator
-
A static convenience method that tells you how many fields are in the
first line of the specified file, using the specified regexp as
delimiter.
- determineNumFields(String) - Static method in class edu.stanford.nlp.io.RecordIterator
-
A static convenience method that tells you how many fields are in the
first line of the specified file, using the default whitespace
delimiter.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "determiner" grammatical relation.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "determiner modifier" grammatical relation.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "determiner modifier" (det) grammatical relation.
- DETERMINER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- DETERMINER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "determiner" grammatical relation.
- determineRelFlags(CoreMap, TimeExpression) - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
-
- determineRelFlags(CoreMap, TimeExpression) - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns
-
Determine how date/times should be resolved for the given temporal
expression and its context
- determiners - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- determiners - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- determinersEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- determinersZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- DeterministicCorefAnnotator - Class in edu.stanford.nlp.pipeline
-
Implements the Annotator for the new deterministic coreference resolution system.
- DeterministicCorefAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
-
- DeterministicCorefSieve - Class in edu.stanford.nlp.coref.hybrid.sieve
-
Base class for a Coref Sieve.
- DeterministicCorefSieve() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
-
- DeterministicCorefSieve(Properties) - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DeterministicCorefSieve
-
- DeterministicCorefSieve - Class in edu.stanford.nlp.dcoref.sievepasses
-
Base class for a Coref Sieve.
- DeterministicCorefSieve() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
-
Initialize flagSet
- DeterministicSpeakerSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.MSSieves
-
Created by mjfang on 7/8/16.
- DeterministicSpeakerSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.DeterministicSpeakerSieve
-
- devFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- df - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefPrinter
-
- DFSA<T,S> - Class in edu.stanford.nlp.fsm
-
DFSA: A class for representing a deterministic finite state automaton
without epsilon transitions.
- DFSA(DFSAState<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSA
-
- DFSA(DFSAState<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSA
-
- DFSA(Object) - Constructor for class edu.stanford.nlp.fsm.DFSA
-
- dfsa() - Method in class edu.stanford.nlp.fsm.DFSAState
-
- DFSAMinimizer - Class in edu.stanford.nlp.fsm
-
DFSAMinimizer minimizes (unweighted) deterministic finite state
automata.
- DFSAState<T,S> - Class in edu.stanford.nlp.fsm
-
DFSAState represents the state of a deterministic finite state
automaton without epsilon transitions.
- DFSAState(S, DFSA<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSAState
-
- DFSAState(S, DFSA<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSAState
-
- DFSATransition<T,S> - Class in edu.stanford.nlp.fsm
-
DFSATransition represents a transition in a weighted finite state
transducer.
- DFSATransition(Object, DFSAState<T, S>, DFSAState<T, S>, T, Object, double) - Constructor for class edu.stanford.nlp.fsm.DFSATransition
-
- dg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- dg - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
-
- dg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- diag(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Returns diagonal elements of the given (square) matrix.
- diag - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- diag - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- dict - Variable in class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
-
A pointer to the creating / owning tagger's dictionary.
- dict2name - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
if using dict2 in a segmenter, load it with this filename
- DICT_LIST_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- DICT_LIST_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- DICT_PMI_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- DICT_PMI_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
-
- Dictionaries - Class in edu.stanford.nlp.coref.data
-
Stores various data used for coreference.
- Dictionaries(Properties) - Constructor for class edu.stanford.nlp.coref.data.Dictionaries
-
- Dictionaries(String, String, String, String, String, String, String, String, String, String, String, String, String, boolean, String[], String, String) - Constructor for class edu.stanford.nlp.coref.data.Dictionaries
-
- Dictionaries() - Constructor for class edu.stanford.nlp.coref.data.Dictionaries
-
- dictionaries - Variable in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
-
- dictionaries() - Method in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
-
- Dictionaries - Class in edu.stanford.nlp.dcoref
-
Provides accessors for various grammatical, semantic, and world knowledge
lexicons and word lists primarily used by the Sieve coreference system,
but sometimes also drawn on from other code.
- Dictionaries(Properties) - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
-
- Dictionaries(String, String, String, String, String, String, String, String, String, String, String, String, boolean, String[], String, String) - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
-
- Dictionaries() - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
-
- dictionaries - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
-
- dictionaries() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
- Dictionaries.Animacy - Enum in edu.stanford.nlp.coref.data
-
- Dictionaries.Animacy - Enum in edu.stanford.nlp.dcoref
-
- Dictionaries.Gender - Enum in edu.stanford.nlp.coref.data
-
- Dictionaries.Gender - Enum in edu.stanford.nlp.dcoref
-
- Dictionaries.MentionType - Enum in edu.stanford.nlp.coref.data
-
- Dictionaries.MentionType - Enum in edu.stanford.nlp.dcoref
-
- Dictionaries.Number - Enum in edu.stanford.nlp.coref.data
-
- Dictionaries.Number - Enum in edu.stanford.nlp.dcoref
-
- Dictionaries.Person - Enum in edu.stanford.nlp.coref.data
-
- Dictionaries.Person - Enum in edu.stanford.nlp.dcoref
-
- dictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Dictionary - Class in edu.stanford.nlp.tagger.maxent
-
Maintains a map from words to tags and their counts.
- Dictionary() - Constructor for class edu.stanford.nlp.tagger.maxent.Dictionary
-
- dictionary2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DictionaryExtractor - Class in edu.stanford.nlp.tagger.maxent
-
This class is the same as a regular Extractor, but keeps a pointer
to the tagger's dictionary as well.
- DictionaryExtractor() - Constructor for class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
-
- dictOddsWeights - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- dictScore - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- diff(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns all objects in list1 that are not in list2.
- diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
-
Returns the difference of sets s1 and s2.
- diffAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns all objects in list1 that are not in list2.
- diffEdges(Collection<SemanticGraphEdge>, Collection<SemanticGraphEdge>, SemanticGraph, SemanticGraph, ISemanticGraphEdgeEql) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given two iterable sequences of edges, returns a pair containing the set of
edges in the first graph not in the second, and edges in the second not in the first.
- difference(Collection<TransducerGraph.Arc>, Collection<TransducerGraph.Arc>) - Static method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- difference(Collection, Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- difference(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- DiffFloatFunction - Interface in edu.stanford.nlp.optimization
-
An interface for once-differentiable double-valued functions over
double arrays.
- DiffFunction - Interface in edu.stanford.nlp.optimization
-
An interface for once-differentiable double-valued functions over
double arrays.
- DIGIT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- DIGITSEQ - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- DijkstraShortestPath - Class in edu.stanford.nlp.graph
-
- DIM - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- dimensions - Variable in class edu.stanford.nlp.loglinear.model.NDArrayDoubles
-
- DIMENSIONSIZE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
- dimVector - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- DINNERTIME - Static variable in class edu.stanford.nlp.time.SUTime
-
- DIR - Static variable in class edu.stanford.nlp.ie.KBPSemgrexExtractor
-
- DIR - Static variable in class edu.stanford.nlp.ie.KBPTokensregexExtractor
-
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "direct object" grammatical relation.
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "direct object" grammatical relation.
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "direct object" (dobj) grammatical relation.
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "direct object" grammatical relation.
- DIRECTED_QUOTES - Static variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- DirectedEdge<V,E> - Class in edu.stanford.nlp.graph
-
- DirectedEdge(E, V, V) - Constructor for class edu.stanford.nlp.graph.DirectedEdge
-
- DirectedMultiGraph<V,E> - Class in edu.stanford.nlp.graph
-
Simple graph library; this is directed for now.
- DirectedMultiGraph() - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
-
- DirectedMultiGraph(MapFactory<V, Map<V, List<E>>>, MapFactory<V, List<E>>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
-
- DirectedMultiGraph(DirectedMultiGraph<V, E>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
-
Creates a copy of the given graph.
- directional - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- directional - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
-
Whether left and right is distinguished.
- directional - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Whether dependency grammar considers left/right direction.
- Dirichlet<E> - Class in edu.stanford.nlp.stats
-
simple dirichlet distribution.
- Dirichlet(Counter<E>) - Constructor for class edu.stanford.nlp.stats.Dirichlet
-
- DirichletProcess<E> - Class in edu.stanford.nlp.stats
-
- DirichletProcess(ProbabilityDistribution<E>, double) - Constructor for class edu.stanford.nlp.stats.DirichletProcess
-
- disable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Disable tracing.
- DisabledPreferences - Class in edu.stanford.nlp.util
-
A do-nothing Preferences implementation so that we can avoid the hassles
of the JVM Preference implementations.
- DisabledPreferences() - Constructor for class edu.stanford.nlp.util.DisabledPreferences
-
- DisabledPreferencesFactory - Class in edu.stanford.nlp.util
-
Returns do-nothing Preferences implementation.
- DisabledPreferencesFactory() - Constructor for class edu.stanford.nlp.util.DisabledPreferencesFactory
-
- disableWarnings() - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper
-
Disable warnings generated when tokens are escaped.
- disallowedPrefixes(String[]) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
-
- disambiguatePersonalPronoun(SpanishVerbStripper.StrippedVerb, int, String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
-
Determine whether the given clitic pronoun is an indirect object
pronoun or a reflexive pronoun.
- discardFrags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- discardMoreSpecificFields(Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- discardMoreSpecificFields(Partial, DurationFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- discardMoreSpecificFields(Period, DurationFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- DISCOURSE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "discourse" (discourse) grammatical relation.
- DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "discourse element" grammatical relation.
- DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "discourse element" grammatical relation.
- DiscourseMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
-
- DiscourseMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.DiscourseMatch
-
- DiscourseMatch - Class in edu.stanford.nlp.dcoref.sievepasses
-
- DiscourseMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.DiscourseMatch
-
- discoverEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- discoverHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- discoverItem(Item) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- discretizeCompute(DoubleUnaryOperator, int, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
- DisjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
-
- DisjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
-
- DisjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
-
- DisjointSet<T> - Interface in edu.stanford.nlp.util
-
Disjoint set interface.
- disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Allows you to read in trees from the source you want.
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Uses a DiskTreebank with a CHTBTokenizer and a
BobChrisTreeNormalizer.
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
Allows you to read in trees from the source you want.
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- diskTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
returns a DiskTreebank appropriate to the treebank source
- diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
-
- DiskTreebank - Class in edu.stanford.nlp.trees
-
A DiskTreebank
is a Collection
of
Tree
s.
- DiskTreebank() - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new DiskTreebank.
- DiskTreebank(String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new treebank, set the encoding for file access.
- DiskTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new DiskTreebank.
- DiskTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new DiskTreebank.
- DiskTreebank(int) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new Treebank.
- DiskTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
-
Create a new Treebank.
- DISLOCATED - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- dispatchable(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
-
Returns true if an object has special logic for pretty logging (e.g.
- display() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
Pretty display
- display(boolean) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
-
- display(boolean, boolean) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Display (write to stderr) language-specific settings.
- display() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.HungarianTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.ItalianTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.Options
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- display() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- display() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
display language-specific settings
- display() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Output a description of the current annotation configuration to
standard error.
- display() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
- display(boolean) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
-
- display(boolean) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.CollinsDepEval
-
- display(boolean) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
-
- display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.ParserQueryEval
-
Called after the evaluation is finished.
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TransitionTypeEval
-
- display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TreeRecorder
-
- display() - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
-
Displays the cumulative results of the evaluation to System.out
.
- display(PrintWriter) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
-
Displays the cumulative results of the evaluation.
- displayError(String, String) - Method in class edu.stanford.nlp.ie.NERGUI
-
- displayHeadScores() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
This displays a headScore matrix, which will be valid after parsing
a sentence.
- displayLast() - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
-
Displays the results of the previous Collection pair evaluation to System.out
.
- displayLast(PrintWriter) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
-
Displays the results of the previous Collection pair evaluation.
- DisplayMatchesPanel - Class in edu.stanford.nlp.trees.tregex.gui
-
Class for creating the panel which shows a graphical version of the tree (as in TreeJPanel) as well
as the file name of the file from which the tree is from.
- DisplayMatchesPanel.FilenameMouseInputAdapter - Class in edu.stanford.nlp.trees.tregex.gui
-
- distance(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
Returns the smallest distance between two spans.
- distance - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- distance - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Use distance bins in the dependency calculations
- distance(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
-
- distanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- distanceBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
-
- distanceFromSubj - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.State
-
- Distribution<E> - Class in edu.stanford.nlp.stats
-
Immutable class for representing normalized, smoothed discrete distributions
from
Counters
.
- distributionFromLogisticCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
-
Maps a counter representing the linear weights of a multiclass
logistic regression model to the probabilities of each class.
- DistributionPackage - Class in edu.stanford.nlp.trees.treebank
-
Adds data files to a tar'd / gzip'd distribution package.
- DistributionPackage() - Constructor for class edu.stanford.nlp.trees.treebank.DistributionPackage
-
- Distributions - Class in edu.stanford.nlp.stats
-
- distributionWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
Returns a Distribution that uses prior as a Dirichlet prior
weighted by weight.
- Distsim - Class in edu.stanford.nlp.tagger.maxent
-
Keeps track of a distributional similarity mapping, i.e., a map from
word to class.
- Distsim(String) - Constructor for class edu.stanford.nlp.tagger.maxent.Distsim
-
The Extractor argument extraction keeps ; together, so we use
that to delimit options.
- DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
-
- distSimClass(String) - Method in class edu.stanford.nlp.process.DistSimClassifier
-
- DistSimClassifier - Class in edu.stanford.nlp.process
-
Maps a String to its distributional similarity class.
- DistSimClassifier(String, boolean, boolean) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
-
- DistSimClassifier(String, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
-
- DistSimClassifier(String, String, String, int, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
-
- DistsimFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
-
Featurizes words based only on their distributional similarity classes.
- distSimFileFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
The format of the distsim file.
- distSimLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- distSimMaxBits - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
If this number is greater than 0, the distSim class is assume to be a bit
string and is truncated at this many characters.
- distSimWeights - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- divide(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- divide(double, double) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Given a numerator and denominator in log form, this calculates
the conditional model probabilities.
- DIVIDE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- divideBy(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
-
- divideBy(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- divideConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
-
- divideDurationBy(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- divideInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Divides the values in this array by b.
- divideInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Divides every non-zero count in target by the corresponding value in the
denominator Counter.
- divideInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Divides each value in target by the given divisor, in place.
- divideInPlace(TwoDimensionalCounter<A, B>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns c1 divided by c2.
- divisionNonNaN(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns c1 divided by c2.
- DO_PRONOUN - Variable in class edu.stanford.nlp.coref.hybrid.sieve.DcorefSieveOptions
-
- DO_PRONOUN - Variable in class edu.stanford.nlp.dcoref.SieveOptions
-
- DO_TAGS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
-
- doAdaptation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doAnalysis(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
-
- doc - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- doc - Variable in class edu.stanford.nlp.ie.UniformPrior
-
- doc - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- doc - Variable in class edu.stanford.nlp.quoteattribution.XMLToAnnotation.Data
-
- DOC_DATE_FIXED_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- DOC_DATE_MAPPING_FILE_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- DOC_DATE_PRESENT_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- DOC_DATE_REGEX_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- DOC_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
-
- docData - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
doc metadata
- docDate(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Set document date
- docDate() - Method in class edu.stanford.nlp.pipeline.CoreDocument
-
return the doc date of this doc
- DOCDATE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
-
- DocDateAnnotator - Class in edu.stanford.nlp.pipeline
-
Find and record a document (authoring) date for a document.
- DocDateAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- docId - Variable in class edu.stanford.nlp.coref.statistical.Example
-
- docID() - Method in class edu.stanford.nlp.ling.CoreLabel
- docID() - Method in interface edu.stanford.nlp.ling.HasIndex
-
- docID() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- docID() - Method in class edu.stanford.nlp.pipeline.CoreDocument
-
return the doc id of this doc
- docid() - Method in class edu.stanford.nlp.simple.Document
-
Returns the document id of the document, if one was found
- docID() - Method in class edu.stanford.nlp.simple.Token
-
- DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
- DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- DOCID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
-
- docInfo - Variable in class edu.stanford.nlp.coref.data.Document
-
Additional information about the document.
- docInfo - Variable in class edu.stanford.nlp.coref.data.InputDoc
-
Additional document information possibly useful for coref.
- doClearFileList() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
-
- docMaker - Variable in class edu.stanford.nlp.coref.hybrid.HybridCorefSystem
-
- doCompaction(TransducerGraph, List, List) - Method in class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
-
- doCompaction(TransducerGraph, List<List<String>>, List<List<String>>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- doCoreference(int, CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- DocReader - Interface in edu.stanford.nlp.coref.docreader
-
- DocSourceTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
-
- docText - Variable in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUDocument
-
full doc text
- DocTitleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
-
- docType - Variable in class edu.stanford.nlp.coref.data.Document
-
The type of document: conversational or article
- docType - Variable in class edu.stanford.nlp.dcoref.Document
-
The type of document: conversational or article
- DocTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
-
- Document - Class in edu.stanford.nlp.coref.data
-
- Document() - Constructor for class edu.stanford.nlp.coref.data.Document
-
- Document(Annotation, List<List<Mention>>, List<List<Mention>>) - Constructor for class edu.stanford.nlp.coref.data.Document
-
- Document(InputDoc, List<List<Mention>>) - Constructor for class edu.stanford.nlp.coref.data.Document
-
- Document() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
-
- Document - Class in edu.stanford.nlp.dcoref
-
- Document() - Constructor for class edu.stanford.nlp.dcoref.Document
-
- Document(Annotation, List<List<Mention>>, List<List<Mention>>, Dictionaries) - Constructor for class edu.stanford.nlp.dcoref.Document
-
- Document<L,F,T> - Interface in edu.stanford.nlp.ling
-
Represents a text document as a list of Words with a String title.
- document() - Method in class edu.stanford.nlp.pipeline.CoreQuote
-
get this quote's document
- document() - Method in class edu.stanford.nlp.pipeline.CoreSentence
-
get the document this sentence is in
- document - Variable in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.FinishedRequest
-
- Document - Class in edu.stanford.nlp.simple
-
A representation of a Document.
- Document(Properties, String) - Constructor for class edu.stanford.nlp.simple.Document
-
Create a new document from the passed in text and the given properties.
- Document(String) - Constructor for class edu.stanford.nlp.simple.Document
-
Create a new document from the passed in text.
- Document(Properties, Annotation) - Constructor for class edu.stanford.nlp.simple.Document
-
Convert a CoreNLP Annotation object to a Document.
- Document(Annotation) - Constructor for class edu.stanford.nlp.simple.Document
-
- Document(Properties, CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.Document
-
Create a Document object from a read Protocol Buffer.
- Document(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.Document
-
- document - Variable in class edu.stanford.nlp.simple.Sentence
-
The document this sentence is derived from
- Document.DocType - Enum in edu.stanford.nlp.coref.data
-
- Document.DocType - Enum in edu.stanford.nlp.dcoref
-
- DOCUMENT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
- DOCUMENT_LINE - Static variable in class edu.stanford.nlp.pipeline.CoNLLUReader
-
- DocumentDirectoryAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentDirectoryAnnotation
-
- DocumentExamples - Class in edu.stanford.nlp.coref.statistical
-
Represents all coreference examples for a particular document.
- DocumentExamples(int, List<Example>, Map<Integer, CompressedFeatureVector>) - Constructor for class edu.stanford.nlp.coref.statistical.DocumentExamples
-
- documentExpectedCounts(double[][], int[][][], double[][][], CRFCliqueTree<String>) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
Compute the expected counts for this document, which we will need to compute the derivative.
- documentID - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
-
- DocumentIdAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentIdAnnotation
-
Deprecated.
- DocumentMaker - Class in edu.stanford.nlp.coref.data
-
- DocumentMaker(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.data.DocumentMaker
-
- DocumentPreprocessor - Class in edu.stanford.nlp.coref.data
-
Coref document preprocessor.
- DocumentPreprocessor - Class in edu.stanford.nlp.process
-
Produces a list of sentences from either a plain text or XML document.
- DocumentPreprocessor(Reader) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
Constructs a preprocessor from an existing input stream.
- DocumentPreprocessor(Reader, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
- DocumentPreprocessor(String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
- DocumentPreprocessor(String, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
- DocumentPreprocessor(String, DocumentPreprocessor.DocType, String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
-
Constructs a preprocessor from a file at a path, which can be either
a filesystem location, a classpath entry, or a URL.
- DocumentPreprocessor.DocType - Enum in edu.stanford.nlp.process
-
- DocumentProcessor<IN,OUT,L,F> - Interface in edu.stanford.nlp.process
-
Top-level interface for transforming Documents.
- DocumentReader<L> - Class in edu.stanford.nlp.ling
-
Basic mechanism for reading in Documents from various input sources.
- DocumentReader() - Constructor for class edu.stanford.nlp.ling.DocumentReader
-
Constructs a new DocumentReader without an initial input source.
- DocumentReader(Reader) - Constructor for class edu.stanford.nlp.ling.DocumentReader
-
Constructs a new DocumentReader using a PTBTokenizerFactory and keeps the original text.
- DocumentReader(Reader, TokenizerFactory<? extends HasWord>, boolean) - Constructor for class edu.stanford.nlp.ling.DocumentReader
-
Constructs a new DocumentReader that will read text from the given
Reader and tokenize it into words using the given Tokenizer.
- documentReader - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DocumentReaderAndWriter<IN extends CoreMap> - Interface in edu.stanford.nlp.sequences
-
This interface is used for reading data and writing output into and out of sequence
classifiers.
- documentsToDataAndLabels(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Convert an ObjectBank to arrays of data features and labels.
- documentsToDataAndLabelsList(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Convert an ObjectBank to corresponding collection of data features and
labels.
- documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Convert a document List into arrays storing the data features and labels.
- documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- documentToString(Document) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- doDep - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Do a dependency parse of the sentence.
- doError(String, Throwable) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
-
Called when a pattern cannot be compiled or some other error occurs; resets gui to valid state.
- doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- doFE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doFeatureDiscovery - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.ie.ner.webapp.NERServlet
-
- doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.patterns.SPIEDServlet
- doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
-
- doGet(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.time.suservlet.SUTimeServlet
-
- doGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doing(String) - Method in class edu.stanford.nlp.util.Timing
-
Print the start of timing message to stderr and start the timer.
- DOLLAR - Static variable in class edu.stanford.nlp.ie.qe.Units.Currencies
-
- domain() - Method in class edu.stanford.nlp.maxent.Features
-
- domain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- domain() - Method in class edu.stanford.nlp.stats.DataSeries.AbstractDataSeries
-
- domain() - Method in class edu.stanford.nlp.stats.DataSeries.AverageDataSeries
-
- domain() - Method in interface edu.stanford.nlp.stats.DataSeries
-
- DOMAIN_EMAIL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
-
- domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalEqConstraintFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.classify.ShiftParamsLogisticObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- domainDimension - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
-
- domainDimension() - Method in interface edu.stanford.nlp.optimization.FloatFunction
-
Returns the number of dimensions in the function's domain
- domainDimension() - Method in interface edu.stanford.nlp.optimization.Function
-
Returns the number of dimensions in the function's domain
- domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
-
- domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
-
- domainDimension() - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
-
- domainDimension() - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient
-
- domainNGramRawFreq - Static variable in class edu.stanford.nlp.patterns.Data
-
- domainNGramsFile - Static variable in class edu.stanford.nlp.patterns.Data
-
- doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
-
- doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.DeterministicSpeakerSieve
-
- doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.LooseConversationalSpeakerSieve
-
- doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.MajoritySpeakerSieve
-
- doMentionToSpeaker(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.MSSieve
-
- dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns true if this
dominates the Tree passed in
as an argument.
- dominatesC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Verbal distance -- mark whether symbol dominates a conjunction (CC)
- dominatesI - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Verbal distance -- mark whether symbol dominates a preposition (IN)
- dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
Verbal distance -- mark whether symbol dominates a verb (V*).
- dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
-
Verbal distance -- mark whether symbol dominates a verb (V*, MD).
- dominationPath(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Returns the path of nodes leading down to a dominated node,
including this
and the dominated node itself.
- DomReader - Class in edu.stanford.nlp.ie.machinereading.common
-
Generic DOM reader for an XML file
- DomReader() - Constructor for class edu.stanford.nlp.ie.machinereading.common.DomReader
-
- done() - Method in class edu.stanford.nlp.util.Timing
-
Finish the line from doing() with the end of the timing done message
and elapsed time in x.y seconds.
- done(String) - Method in class edu.stanford.nlp.util.Timing
-
Give a line saying that something is " done".
- done(StringBuilder) - Method in class edu.stanford.nlp.util.Timing
-
- done(Redwood.RedwoodChannels, StringBuilder) - Method in class edu.stanford.nlp.util.Timing
-
This method allows you to show the results of timing according to another class' logger.
- done(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Timing
-
- doNewAnnotations(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- doNewPhrases(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- doNotApplyPatterns - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- doNotExtractPhraseAnyWordLabeledOtherClass - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
Especially useful for multi word phrase extraction.
- doNotLexicalizeFirstArg - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- doNotLexicalizeFirstArg - Variable in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
-
If true, it does not create any lexicalized features from the first argument (needed for KBP)
- doNotUse(String, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.PatternFactory
-
- DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
-
- dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.naturalli.NaturalLogicAnnotator
-
Fills in empty annotations for trees, tags, etc if the annotator
failed or timed out.
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
-
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
-
Fills in empty annotations for trees, tags, etc if the annotator
failed or timed out.
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
-
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
-
Fills in empty annotations for trees, tags, etc if the annotator
failed or timed out.
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentimentAnnotator
-
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.UDFeatureAnnotator
-
- doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.WikidictAnnotator
-
Fills in empty annotations for trees, tags, etc if the annotator
failed or timed out.
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.naturalli.NaturalLogicAnnotator
-
annotation is included in case there is global information we care about
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
-
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
-
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
-
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
-
annotation is included in case there is global information we care about
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentimentAnnotator
-
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.UDFeatureAnnotator
-
- doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.WikidictAnnotator
-
annotation is included in case there is global information we care about
- doPCFG - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
Do a PCFG parse of the sentence.
- doPMIFeatureSelection(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.ie.ner.webapp.NERServlet
-
- doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.patterns.SPIEDServlet
- doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
-
- doPost(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.time.suservlet.SUTimeServlet
-
- doPostProcessing(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- doQuit() - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ClosestMentionSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ConversationalSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.DependencyParseSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.LooseConversationalSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.OneNameSentenceSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ParagraphEndQuoteClosestSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.SupervisedSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.TrigramSieve
-
- doQuoteToMention(Annotation) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.VocativeSieve
-
- doRecovery - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If true, then failure of the PCFG factor to parse a sentence
will trigger parse recovery mode.
- doRef - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Add "ref" edges
- doRemoveAnnotations(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- doRemovePhrases(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- doScore(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- doScore() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
- doSubj - Variable in enum edu.stanford.nlp.trees.GrammaticalStructure.Extras
-
Add extra subject edges
- DOT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- dot(SimpleMatrix, SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Compute dot product between two vectors.
- DOTCOMMA - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- DOTDOT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- dotProduct(double[], int[], double[]) - Static method in class edu.stanford.nlp.classify.LogisticUtils
-
- dotProduct(ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
-
This function assumes both vectors are infinitely padded with 0s, so it won't complain if there's a dim mismatch.
- dotProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Assumes that both arrays have same length.
- dotProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Dot product of a and b.
- dotProduct(double[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Dot product of a and b.
- dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the product of c1 and c2.
- dotProduct(Counter<E>, double[], Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Returns the product of Counter c and double[] a, using Index idx to map
entries in C onto a.
- dotProductInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Multiplies every count in target by the corresponding value in the term
Counter.
- doTraining(String) - Method in class edu.stanford.nlp.coref.statistical.Clusterer
-
- doTraining(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- DOUBLE_QUOTES - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- DoubleAD - Class in edu.stanford.nlp.math
-
The class DoubleAD
was created to extend the
current calculations of gradient to automatically include a calculation of the
Hessian vector product with another vector v
.
- DoubleAD() - Constructor for class edu.stanford.nlp.math.DoubleAD
-
- DoubleAD(double, double) - Constructor for class edu.stanford.nlp.math.DoubleAD
-
- doubleArrayToFloatArray(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- doubleArrayToFloatArray(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- doubleArrToByteArr(double[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
-
- doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
-
- doubleValue() - Method in class edu.stanford.nlp.math.DoubleAD
-
- doubleValue() - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Returns the value of this AtomicDouble
as a double
.
- doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
-
- doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
-
- doubleValue() - Method in class edu.stanford.nlp.util.MutableLong
-
- doWordEmbeddingGradUpdate - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Update word embeddings when performing gradient descent.
- dparser - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- drawSample(Random) - Method in class edu.stanford.nlp.stats.Dirichlet
-
- drawSample(Random, Counter<F>) - Static method in class edu.stanford.nlp.stats.Dirichlet
-
- drawSample(Random, double[]) - Static method in class edu.stanford.nlp.stats.Dirichlet
-
- drawSample(Random) - Method in class edu.stanford.nlp.stats.DirichletProcess
-
- drawSample() - Method in class edu.stanford.nlp.stats.Distribution
-
Exactly the same as sampleFrom(), needed for the Sampler interface.
- drawSample(Random) - Method in class edu.stanford.nlp.stats.Distribution
-
A method to draw a sample, providing an own random number generator.
- drawSample(Random) - Method in class edu.stanford.nlp.stats.Gamma
-
- drawSample(Random, double) - Static method in class edu.stanford.nlp.stats.Gamma
-
- drawSample(Random, double, double) - Static method in class edu.stanford.nlp.stats.Gamma
-
- drawSample(Random) - Method in class edu.stanford.nlp.stats.Multinomial
-
- drawSample(Random) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
-
- drawSample() - Method in interface edu.stanford.nlp.stats.Sampler
-
- drop(T[], int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a view of the given data, ignoring the first toDrop elements.
- drop(Iterable<T>, int) - Static method in class edu.stanford.nlp.util.Iterables
-
Returns a view of the given data, ignoring the first toDrop elements.
- dropFeaturesBelowThreshold(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- dropGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- DROPOUT_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- dropoutApprox - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dropoutRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dropoutScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dropProb - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Dropout probability.
- dualDecompAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompInitialStepSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompInitialStepSizeAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompMaxItr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dualDecompNotBIO - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dump() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print all features in the classifier and the weight that they assign
to each class.
- dump(PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print all features in the classifier and the weight that they assign
to each class.
- dump - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- dump() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- dump(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- dump() - Method in class edu.stanford.nlp.util.ArrayHeap
-
- dumpAccuracy(Classifier<ClauseSplitter.ClauseClassifierLabel, String>, GeneralDataset<ClauseSplitter.ClauseClassifierLabel, String>) - Static method in class edu.stanford.nlp.naturalli.Util
-
A helper function for dumping the accuracy of the trained classifier.
- dumpCoreMap(CoreMap) - Static method in class edu.stanford.nlp.util.CoreMaps
-
Utility function for dumping all the keys and values of a CoreMap to a String.
- dumpCoreMapToStringBuilder(CoreMap, StringBuilder) - Static method in class edu.stanford.nlp.util.CoreMaps
-
- dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Does nothing by default.
- dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- DumpMatrices - Class in edu.stanford.nlp.parser.dvparser
-
Dump out the matrices in a DVModel to a given directory in text format.
- DumpMatrices() - Constructor for class edu.stanford.nlp.parser.dvparser.DumpMatrices
-
- dumpMatrix(String, SimpleMatrix) - Static method in class edu.stanford.nlp.parser.dvparser.DumpMatrices
-
- dumpMemory() - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
-
dump the <x,y>
pairs it computed found
- dumpPerRelationStats(PrintStream) - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
-
- dumpPerRelationStats() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
-
- dumpSimWordAvgStats() - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- dumpSizes() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
- dumpSorted() - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Print all features in the classifier and the weight that they assign
to each class.
- dumpStats() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- duplicateKeepNodes(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
This creates a new graph based off the given, but uses the existing nodes objects.
- DuplicateTreeStringFilter - Class in edu.stanford.nlp.trees.treebank
-
Filters trees based on duplicate toString()
for example,
java edu.stanford.nlp.trees.Treebanks -filter edu.stanford.nlp.trees.treebank.DuplicateTreeStringFilter -pennPrint /u/nlp/data/constituency-parser/models-4.0.0/data/ewt/ptb/train/ewt-train.mrg
- DuplicateTreeStringFilter() - Constructor for class edu.stanford.nlp.trees.treebank.DuplicateTreeStringFilter
-
- DUR_RESOLVE_FROM_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
-
- DUR_RESOLVE_TO_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
-
- Duration() - Constructor for class edu.stanford.nlp.time.SUTime.Duration
-
- Duration(SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Duration
-
- duration - Variable in class edu.stanford.nlp.time.Timex.Range
-
- DURATION_NONE - Static variable in class edu.stanford.nlp.time.SUTime
-
- DURATION_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- DurationRange(SUTime.DurationRange, SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
-
- DurationRange(SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
-
- DurationWithFields() - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- DurationWithFields(ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- DurationWithFields(SUTime.Duration, ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- DurationWithMillis(long) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- DurationWithMillis(ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- DurationWithMillis(SUTime.Duration, ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- DUSK - Static variable in class edu.stanford.nlp.time.SUTime
-
- dvKBest - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
- DVModel - Class in edu.stanford.nlp.parser.dvparser
-
- DVModel(Options, Index<String>, UnaryGrammar, BinaryGrammar) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
-
- DVModel(TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
-
- DVModelReranker - Class in edu.stanford.nlp.parser.dvparser
-
- DVModelReranker(DVModel) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModelReranker
-
- DVModelReranker.Query - Class in edu.stanford.nlp.parser.dvparser
-
- DVP_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "dvp marker" grammatical relation.
- DVParser - Class in edu.stanford.nlp.parser.dvparser
-
- DVParser(DVModel, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
-
- DVParser(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
-
- DVParserCostAndGradient - Class in edu.stanford.nlp.parser.dvparser
-
- DVParserCostAndGradient(List<Tree>, IdentityHashMap<Tree, List<Tree>>, DVModel, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
-
- DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "dvp modifier" grammatical relation.
- DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "dvp modifier" grammatical relation.
- dvSimplifiedModel - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
-
Make the dv model as simple as possible
- DybroFrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french
-
Implements the head finding rules from Dybro-Johansen master's thesis.
- DybroFrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
-
- DybroFrenchHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
-
- dynamicCounterWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
Like normalizedCounterWithDirichletPrior except probabilities are
computed dynamically from the counter and prior instead of all at once up front.
- E - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- E_ATTR - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
-
- E_ATTR_NODE - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
-
- E_ATTR_VAL - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
-
- eachClique(int, int, Consumer<Clique>) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
-
Process cliques requiring exactly "left" lookbehind and exactly "right" lookahead.
- edge - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.State
-
- Edge - Class in edu.stanford.nlp.parser.lexparser
-
Class for parse edges.
- Edge(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
-
- Edge(Edge) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
-
- EDGE - Static variable in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
-
- edge - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
-
- EDGE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
- EDGE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
- EDGE_NAME_ARG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
-
- edgeCount() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- EdgeDiffResult(Set<SemanticGraphEdge>, Set<SemanticGraphEdge>, Set<SemanticGraphEdge>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphUtils.EdgeDiffResult
-
- edgeIndex - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.State
-
- edgeIterable() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- edgeIterable() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- edgeIterator() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- edgeListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns an ordered list of edges in the graph.
- edgeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReattachNamedEdge
-
- edgeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RelabelNamedEdge
-
- edgeName - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveNamedEdge
-
- edges - Variable in class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
-
- edgesWithReln(Iterable<SemanticGraphEdge>, GrammaticalRelation) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given a list of edges, returns those which match the given relation (can be string or
GrammaticalRelation object).
- EDIT_ELEM_TAG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- EDIT_LIST_ELEM_TAG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- editDistance(CharSequence, CharSequence, int) - Static method in class edu.stanford.nlp.patterns.EditDistanceDamerauLevenshteinLike
-
- EditDistance - Class in edu.stanford.nlp.util
-
Find the (Levenshtein) edit distance between two Strings or Character
arrays.
- EditDistance() - Constructor for class edu.stanford.nlp.util.EditDistance
-
- EditDistance(boolean) - Constructor for class edu.stanford.nlp.util.EditDistance
-
- editDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Computes the Levenshtein (edit) distance of the two given Strings.
- EditDistanceDamerauLevenshteinLike - Class in edu.stanford.nlp.patterns
-
COPIED FROM https://gist.github.com/steveash (public domain license)
Implementation of the OSA (optimal string alignment) which is similar
to the Damerau-Levenshtein in that it allows for transpositions to
count as a single edit distance, but is not a true metric and can
over-estimate the cost because it disallows substrings to edited more than
once.
- EditDistanceDamerauLevenshteinLike() - Constructor for class edu.stanford.nlp.patterns.EditDistanceDamerauLevenshteinLike
-
- EditNode - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
Edit an existing node to have new attributes.
- EditNode(String, Map<String, String>, String, List<String>, List<String>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.EditNode
-
- editScript - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- edu.stanford.nlp.classify - package edu.stanford.nlp.classify
-
The classify package provides facilities for training classifiers.
- edu.stanford.nlp.classify.demo - package edu.stanford.nlp.classify.demo
-
- edu.stanford.nlp.coref - package edu.stanford.nlp.coref
-
Packages for coreference resolution and mention detection.
- edu.stanford.nlp.coref.data - package edu.stanford.nlp.coref.data
-
- edu.stanford.nlp.coref.docreader - package edu.stanford.nlp.coref.docreader
-
- edu.stanford.nlp.coref.fastneural - package edu.stanford.nlp.coref.fastneural
-
- edu.stanford.nlp.coref.hybrid - package edu.stanford.nlp.coref.hybrid
-
- edu.stanford.nlp.coref.hybrid.demo - package edu.stanford.nlp.coref.hybrid.demo
-
- edu.stanford.nlp.coref.hybrid.rf - package edu.stanford.nlp.coref.hybrid.rf
-
- edu.stanford.nlp.coref.hybrid.sieve - package edu.stanford.nlp.coref.hybrid.sieve
-
- edu.stanford.nlp.coref.md - package edu.stanford.nlp.coref.md
-
- edu.stanford.nlp.coref.misc - package edu.stanford.nlp.coref.misc
-
- edu.stanford.nlp.coref.neural - package edu.stanford.nlp.coref.neural
-
- edu.stanford.nlp.coref.statistical - package edu.stanford.nlp.coref.statistical
-
- edu.stanford.nlp.dcoref - package edu.stanford.nlp.dcoref
-
Multi-pass Sieve Coreference Resolution System
- edu.stanford.nlp.dcoref.sievepasses - package edu.stanford.nlp.dcoref.sievepasses
-
- edu.stanford.nlp.dcoref.util - package edu.stanford.nlp.dcoref.util
-
- edu.stanford.nlp.examples - package edu.stanford.nlp.examples
-
- edu.stanford.nlp.fsm - package edu.stanford.nlp.fsm
-
Contains two implementations of finite state machines.
- edu.stanford.nlp.graph - package edu.stanford.nlp.graph
-
A simple directed graph implementatin that we use to support our dependency graphs.
- edu.stanford.nlp.ie - package edu.stanford.nlp.ie
-
This package implements various subpackages for information extraction.
- edu.stanford.nlp.ie.crf - package edu.stanford.nlp.ie.crf
-
A package for doing inference with conditional random fields.
- edu.stanford.nlp.ie.demo - package edu.stanford.nlp.ie.demo
-
- edu.stanford.nlp.ie.machinereading - package edu.stanford.nlp.ie.machinereading
-
A package for supervised relation and event extraction.
- edu.stanford.nlp.ie.machinereading.common - package edu.stanford.nlp.ie.machinereading.common
-
- edu.stanford.nlp.ie.machinereading.domains.ace - package edu.stanford.nlp.ie.machinereading.domains.ace
-
- edu.stanford.nlp.ie.machinereading.domains.ace.reader - package edu.stanford.nlp.ie.machinereading.domains.ace.reader
-
- edu.stanford.nlp.ie.machinereading.domains.roth - package edu.stanford.nlp.ie.machinereading.domains.roth
-
- edu.stanford.nlp.ie.machinereading.structure - package edu.stanford.nlp.ie.machinereading.structure
-
- edu.stanford.nlp.ie.ner - package edu.stanford.nlp.ie.ner
-
This package contains the older version of the Stanford NER tagger that uses a
Conditional Markov Model (a.k.a., Maximum Entropy Markov Model or MEMM)
designed for Named Entity Recognition, and various support code.
- edu.stanford.nlp.ie.ner.ui - package edu.stanford.nlp.ie.ner.ui
-
This package mainly contains GUI software for error analysis of NER,
developed in the context of Biocreative, but also has a simple GUI
interface to CMMClassifier.
- edu.stanford.nlp.ie.ner.webapp - package edu.stanford.nlp.ie.ner.webapp
-
- edu.stanford.nlp.ie.pascal - package edu.stanford.nlp.ie.pascal
-
- edu.stanford.nlp.ie.qe - package edu.stanford.nlp.ie.qe
-
- edu.stanford.nlp.ie.regexp - package edu.stanford.nlp.ie.regexp
-
- edu.stanford.nlp.ie.util - package edu.stanford.nlp.ie.util
-
- edu.stanford.nlp.international - package edu.stanford.nlp.international
-
- edu.stanford.nlp.international.arabic - package edu.stanford.nlp.international.arabic
-
- edu.stanford.nlp.international.arabic.parsesegment - package edu.stanford.nlp.international.arabic.parsesegment
-
- edu.stanford.nlp.international.arabic.pipeline - package edu.stanford.nlp.international.arabic.pipeline
-
- edu.stanford.nlp.international.arabic.process - package edu.stanford.nlp.international.arabic.process
-
- edu.stanford.nlp.international.french - package edu.stanford.nlp.international.french
-
- edu.stanford.nlp.international.french.pipeline - package edu.stanford.nlp.international.french.pipeline
-
- edu.stanford.nlp.international.french.process - package edu.stanford.nlp.international.french.process
-
- edu.stanford.nlp.international.french.scripts - package edu.stanford.nlp.international.french.scripts
-
- edu.stanford.nlp.international.german.process - package edu.stanford.nlp.international.german.process
-
- edu.stanford.nlp.international.german.scripts - package edu.stanford.nlp.international.german.scripts
-
- edu.stanford.nlp.international.morph - package edu.stanford.nlp.international.morph
-
- edu.stanford.nlp.international.spanish - package edu.stanford.nlp.international.spanish
-
- edu.stanford.nlp.international.spanish.pipeline - package edu.stanford.nlp.international.spanish.pipeline
-
- edu.stanford.nlp.international.spanish.process - package edu.stanford.nlp.international.spanish.process
-
- edu.stanford.nlp.international.spanish.scripts - package edu.stanford.nlp.international.spanish.scripts
-
- edu.stanford.nlp.io - package edu.stanford.nlp.io
-
A few classes that augment the java.io
package in useful
ways for our applications.
- edu.stanford.nlp.io.ui - package edu.stanford.nlp.io.ui
-
UI components for I/O operations.
- edu.stanford.nlp.ling - package edu.stanford.nlp.ling
-
This package contains the different data structures used by
JavaNLP throughout the years for dealing with linguistic objects in general,
of which words are the most generally used.
- edu.stanford.nlp.ling.tokensregex - package edu.stanford.nlp.ling.tokensregex
-
This package contains a library, TokensRegex, for matching regular expressions over
tokens.
- edu.stanford.nlp.ling.tokensregex.demo - package edu.stanford.nlp.ling.tokensregex.demo
-
This package contains some demo code and a few sample rule files for the
TokensRegex package.
- edu.stanford.nlp.ling.tokensregex.matcher - package edu.stanford.nlp.ling.tokensregex.matcher
-
- edu.stanford.nlp.ling.tokensregex.parser - package edu.stanford.nlp.ling.tokensregex.parser
-
- edu.stanford.nlp.ling.tokensregex.types - package edu.stanford.nlp.ling.tokensregex.types
-
This package contains various types and interfaces used when
parsing TokensRegex patterns and rules.
- edu.stanford.nlp.loglinear.benchmarks - package edu.stanford.nlp.loglinear.benchmarks
-
- edu.stanford.nlp.loglinear.inference - package edu.stanford.nlp.loglinear.inference
-
- edu.stanford.nlp.loglinear.learning - package edu.stanford.nlp.loglinear.learning
-
- edu.stanford.nlp.loglinear.model - package edu.stanford.nlp.loglinear.model
-
- edu.stanford.nlp.loglinear.model.proto - package edu.stanford.nlp.loglinear.model.proto
-
- edu.stanford.nlp.loglinear.storage - package edu.stanford.nlp.loglinear.storage
-
- edu.stanford.nlp.math - package edu.stanford.nlp.math
-
Classes for Simple Math Functionality, such as Min, Max, WeightedAverage,
Scientific Notation, etc.
- edu.stanford.nlp.maxent - package edu.stanford.nlp.maxent
-
This package deals with defining and solving maximum entropy problems.
- edu.stanford.nlp.maxent.iis - package edu.stanford.nlp.maxent.iis
-
This package contains an implementation of Improved Iterative Scaling.
- edu.stanford.nlp.misc - package edu.stanford.nlp.misc
-
- edu.stanford.nlp.naturalli - package edu.stanford.nlp.naturalli
-
This package defines operator and polarity marking according to natural logic,
and defines the Stanford Open IE system.
- edu.stanford.nlp.net - package edu.stanford.nlp.net
-
- edu.stanford.nlp.neural - package edu.stanford.nlp.neural
-
- edu.stanford.nlp.neural.rnn - package edu.stanford.nlp.neural.rnn
-
- edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank
-
The ObjectBank class is designed to make it easy to change the format/source
of data read in by other classes and to standardize how data is read in javaNLP
classes.
- edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
-
Numerical optimization, including a conjugate gradient implementation.
- edu.stanford.nlp.paragraphs - package edu.stanford.nlp.paragraphs
-
- edu.stanford.nlp.parser - package edu.stanford.nlp.parser
-
This package contains a few simple interfaces for the parsers in the various
subpackages.
- edu.stanford.nlp.parser.charniak - package edu.stanford.nlp.parser.charniak
-
- edu.stanford.nlp.parser.common - package edu.stanford.nlp.parser.common
-
- edu.stanford.nlp.parser.dvparser - package edu.stanford.nlp.parser.dvparser
-
- edu.stanford.nlp.parser.eval - package edu.stanford.nlp.parser.eval
-
This package contains a class, CandidateParseManager, for managing multiple candidate parses for a single
gold-standard tree, doing evaluations, and more.
- edu.stanford.nlp.parser.lexparser - package edu.stanford.nlp.parser.lexparser
-
This package contains implementations of three probabilistic parsers for
natural language text.
- edu.stanford.nlp.parser.lexparser.demo - package edu.stanford.nlp.parser.lexparser.demo
-
- edu.stanford.nlp.parser.metrics - package edu.stanford.nlp.parser.metrics
-
- edu.stanford.nlp.parser.nndep - package edu.stanford.nlp.parser.nndep
-
- edu.stanford.nlp.parser.nndep.demo - package edu.stanford.nlp.parser.nndep.demo
-
- edu.stanford.nlp.parser.server - package edu.stanford.nlp.parser.server
-
- edu.stanford.nlp.parser.shiftreduce - package edu.stanford.nlp.parser.shiftreduce
-
- edu.stanford.nlp.parser.shiftreduce.demo - package edu.stanford.nlp.parser.shiftreduce.demo
-
- edu.stanford.nlp.parser.tools - package edu.stanford.nlp.parser.tools
-
- edu.stanford.nlp.parser.ui - package edu.stanford.nlp.parser.ui
-
This package contains graphical user interface components for parsing sentences
with parser created using lexparser.LexicalizedParser.
- edu.stanford.nlp.patterns - package edu.stanford.nlp.patterns
-
- edu.stanford.nlp.patterns.dep - package edu.stanford.nlp.patterns.dep
-
- edu.stanford.nlp.patterns.surface - package edu.stanford.nlp.patterns.surface
-
- edu.stanford.nlp.pipeline - package edu.stanford.nlp.pipeline
-
Linguistic Annotation Pipeline
- edu.stanford.nlp.pipeline.demo - package edu.stanford.nlp.pipeline.demo
-
- edu.stanford.nlp.pipeline.webapp - package edu.stanford.nlp.pipeline.webapp
-
- edu.stanford.nlp.process - package edu.stanford.nlp.process
-
Contains classes for processing documents.
- edu.stanford.nlp.process.stattok - package edu.stanford.nlp.process.stattok
-
- edu.stanford.nlp.quoteattribution - package edu.stanford.nlp.quoteattribution
-
- edu.stanford.nlp.quoteattribution.Sieves - package edu.stanford.nlp.quoteattribution.Sieves
-
- edu.stanford.nlp.quoteattribution.Sieves.MSSieves - package edu.stanford.nlp.quoteattribution.Sieves.MSSieves
-
Implementations of mention to speaker (i.e., entity) sieves.
- edu.stanford.nlp.quoteattribution.Sieves.QMSieves - package edu.stanford.nlp.quoteattribution.Sieves.QMSieves
-
Implementations of quote to mention sieves.
- edu.stanford.nlp.quoteattribution.Sieves.training - package edu.stanford.nlp.quoteattribution.Sieves.training
-
- edu.stanford.nlp.scenegraph - package edu.stanford.nlp.scenegraph
-
- edu.stanford.nlp.scenegraph.image - package edu.stanford.nlp.scenegraph.image
-
- edu.stanford.nlp.semgraph - package edu.stanford.nlp.semgraph
-
This package provides a representation of dependency graphs (normally the
collapsed Stanford Dependencies representation) as a graph (backed by
the jgrapht graph library.
- edu.stanford.nlp.semgraph.semgrex - package edu.stanford.nlp.semgraph.semgrex
-
A package for dependency graph (i.e.
- edu.stanford.nlp.semgraph.semgrex.demo - package edu.stanford.nlp.semgraph.semgrex.demo
-
- edu.stanford.nlp.semgraph.semgrex.ssurgeon - package edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
A package for performing transformations of dependency trees, SemanticGraph
objects.
- edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred - package edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred
-
This contains predicate tests used in SsurgeonPattern
objects.
- edu.stanford.nlp.sentiment - package edu.stanford.nlp.sentiment
-
- edu.stanford.nlp.sequences - package edu.stanford.nlp.sequences
-
This package contains classes that support sequence modeling and
inference (CMMs and CRFs).
- edu.stanford.nlp.simple - package edu.stanford.nlp.simple
-
- edu.stanford.nlp.stats - package edu.stanford.nlp.stats
-
A set of tools for collecting, representing, and inferring with statistics.
- edu.stanford.nlp.swing - package edu.stanford.nlp.swing
-
Collection of useful classes for building Swing GUIs.
- edu.stanford.nlp.tagger - package edu.stanford.nlp.tagger
-
This subpackage is a home for taggers.
- edu.stanford.nlp.tagger.common - package edu.stanford.nlp.tagger.common
-
- edu.stanford.nlp.tagger.io - package edu.stanford.nlp.tagger.io
-
- edu.stanford.nlp.tagger.maxent - package edu.stanford.nlp.tagger.maxent
-
A Maximum Entropy Part-of-Speech Tagger.
- edu.stanford.nlp.tagger.maxent.documentation - package edu.stanford.nlp.tagger.maxent.documentation
-
- edu.stanford.nlp.tagger.util - package edu.stanford.nlp.tagger.util
-
- edu.stanford.nlp.time - package edu.stanford.nlp.time
-
- edu.stanford.nlp.time.suservlet - package edu.stanford.nlp.time.suservlet
-
- edu.stanford.nlp.trees - package edu.stanford.nlp.trees
-
A package for (NLP) trees, sentences, and similar things.
- edu.stanford.nlp.trees.international - package edu.stanford.nlp.trees.international
-
This package and its subpackages define processes related to
language-specific (or perhaps language- and corpus-specific)
processing.
- edu.stanford.nlp.trees.international.arabic - package edu.stanford.nlp.trees.international.arabic
-
- edu.stanford.nlp.trees.international.french - package edu.stanford.nlp.trees.international.french
-
- edu.stanford.nlp.trees.international.hebrew - package edu.stanford.nlp.trees.international.hebrew
-
- edu.stanford.nlp.trees.international.hungarian - package edu.stanford.nlp.trees.international.hungarian
-
- edu.stanford.nlp.trees.international.italian - package edu.stanford.nlp.trees.international.italian
-
- edu.stanford.nlp.trees.international.negra - package edu.stanford.nlp.trees.international.negra
-
Classes, and JFlex source file, for reading and tokenization of NEGRA
corpus export-format files.
- edu.stanford.nlp.trees.international.pennchinese - package edu.stanford.nlp.trees.international.pennchinese
-
Classes, and JFlex source file, for reading, tokenization and manipulation of Penn Chinese Treebank (CTB)
export-format files.
- edu.stanford.nlp.trees.international.spanish - package edu.stanford.nlp.trees.international.spanish
-
- edu.stanford.nlp.trees.international.tuebadz - package edu.stanford.nlp.trees.international.tuebadz
-
- edu.stanford.nlp.trees.treebank - package edu.stanford.nlp.trees.treebank
-
- edu.stanford.nlp.trees.tregex - package edu.stanford.nlp.trees.tregex
-
A package for tree-pattern expressions and matching these expressions
to Tree instances.
- edu.stanford.nlp.trees.tregex.gui - package edu.stanford.nlp.trees.tregex.gui
-
A package for the graphical interface for Tregex and TSurgeon.
- edu.stanford.nlp.trees.tregex.tsurgeon - package edu.stanford.nlp.trees.tregex.tsurgeon
-
A package for performing
transformations of trees to be used in conjunction with
edu.stanford.nlp.trees.tregex
.
- edu.stanford.nlp.trees.ud - package edu.stanford.nlp.trees.ud
-
- edu.stanford.nlp.truecaser - package edu.stanford.nlp.truecaser
-
- edu.stanford.nlp.ui - package edu.stanford.nlp.ui
-
- edu.stanford.nlp.util - package edu.stanford.nlp.util
-
A collection of useful general-purpose utility classes.
- edu.stanford.nlp.util.concurrent - package edu.stanford.nlp.util.concurrent
-
A collection of useful thread-safe general-purpose utility classes.
- edu.stanford.nlp.util.logging - package edu.stanford.nlp.util.logging
-
Contains the Redwood logging system that is the primary logging facade or system for Stanford CoreNLP.
- edu.stanford.nlp.wordseg - package edu.stanford.nlp.wordseg
-
A package for doing Chinese word segmentation.
- edu.stanford.nlp.wordseg.demo - package edu.stanford.nlp.wordseg.demo
-
- Ehat - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- elapsedTime(Date, Date) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- elementMult(SimpleTensor) - Method in class edu.stanford.nlp.neural.SimpleTensor
-
Performs elementwise multiplication on the tensors.
- elements() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- elements() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the original sequence the match was performed on.
- elements - Variable in class edu.stanford.nlp.util.Beam
-
- elementsToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- elementSum() - Method in class edu.stanford.nlp.neural.SimpleTensor
-
Returns the sum of all elements in the tensor.
- elementwiseApplyLog(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Applies log to each of the entries in the matrix.
- elementwiseApplyReLU(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Applies ReLU to each of the entries in the matrix.
- elementwiseApplyTanh(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Applies tanh to each of the entries in the matrix.
- elementwiseApplyTanhDerivative(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
-
Applies the derivative of tanh to each of the elements in the vector.
- elementwiseProductInPlace(ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
-
This will multiply the vector "other" to this vector.
- elems() - Method in class edu.stanford.nlp.util.IntTuple
-
- ELT_LIST_TAG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- EMAIL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- Embedding - Class in edu.stanford.nlp.neural
-
- Embedding(Map<String, SimpleMatrix>) - Constructor for class edu.stanford.nlp.neural.Embedding
-
- Embedding(String) - Constructor for class edu.stanford.nlp.neural.Embedding
-
- Embedding(String, int) - Constructor for class edu.stanford.nlp.neural.Embedding
-
- Embedding(String, String) - Constructor for class edu.stanford.nlp.neural.Embedding
-
- Embedding(String, String, int) - Constructor for class edu.stanford.nlp.neural.Embedding
-
- EmbeddingExtractor - Class in edu.stanford.nlp.coref.neural
-
Extracts word-embedding features from mentions.
- EmbeddingExtractor(boolean, Embedding, Embedding, String) - Constructor for class edu.stanford.nlp.coref.neural.EmbeddingExtractor
-
- EmbeddingFeatureFactory - Class in edu.stanford.nlp.ie
-
For features generated from word embeddings.
- EmbeddingFeatureFactory() - Constructor for class edu.stanford.nlp.ie.EmbeddingFeatureFactory
-
- embeddingSize - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Dimensionality of the word embeddings used
- embeddingVectors - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- embeddingWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- empiricalCounts(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- empiricalCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- EmpiricalNERPrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
This was the empirical NER prior used for long distance consistency
in the Finkel et al.
- EmpiricalNERPrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPrior
-
- EmpiricalNERPriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
- EmpiricalNERPriorBIO(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
-
- EmpiricalNERPriorBIOFactory<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
- EmpiricalNERPriorBIOFactory() - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorBIOFactory
-
- EmpiricalNERPriorFactory<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
Used for creating an NER prior by reflection.
- EmpiricalNERPriorFactory() - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorFactory
-
- EMPTY - Static variable in class edu.stanford.nlp.ling.Word
-
Word representation of an empty.
- empty() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
-
- EMPTY - Static variable in class edu.stanford.nlp.util.logging.LogRecordHandler
-
An empty list to serve as the FALSE token for filters
- empty() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
An empty Redwood configuration.
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- EMPTY_EXTRACTOR_ARRAY - Static variable in class edu.stanford.nlp.tagger.maxent.Extractor
-
- EMPTY_ISO_DATE_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_ISO_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_ISO_TIME_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_ISO_WEEK_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
-
- EMPTY_LEAF - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
-
- EMPTY_LEAF_VALUE - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
-
- EMPTY_STRING_ARRAY - Static variable in class edu.stanford.nlp.util.StringUtils
-
- EMPTY_TREE_ARRAY - Static variable in class edu.stanford.nlp.trees.Tree
-
A leaf node should have a zero-length array for its
children.
- emptyFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
-
- emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- EMPTYINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
- EMPTYINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- EmptyIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EmptyIndexAnnotation
-
- enable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Enable tracing.
- enablePrefs(boolean) - Static method in class edu.stanford.nlp.trees.tregex.gui.OSXAdapter
-
- enableTsurgeon(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
-
- enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
-
The encoding for file input.
- encodedInputStreamReader(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Create a Reader with an explicit encoding around an InputStream.
- encodeDistance(int) - Static method in class edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor
-
- encodedOutputStreamPrintWriter(OutputStream, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
Create a Reader with an explicit encoding around an InputStream.
- encodedOutputStreamWriter(OutputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Create a Reader with an explicit encoding around an InputStream.
- encoding - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
-
The output encoding to use
- ENCODING - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- ENCODING - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- encoding - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
-
- ENCODING - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- encoding - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- encoding() - Method in class edu.stanford.nlp.trees.Treebank
-
Returns the encoding in use for treebank file bytestream access.
- ENCODING_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- EncodingFileReader - Class in edu.stanford.nlp.io
-
This is a convenience class which works almost exactly like
FileReader
but allows for the specification of input encoding.
- EncodingFileReader(String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new EncodingFileReader, given the name of the
file to read from.
- EncodingFileReader(String, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new EncodingFileReader, given the name of the
file to read from and an encoding
- EncodingFileReader(File) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new EncodingFileReader, given the File
to read from, and using default of utf-8.
- EncodingFileReader(File, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new FileReader, given the File
to read from and encoding.
- EncodingFileReader(FileDescriptor) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
-
Creates a new FileReader, given the
FileDescriptor to read from.
- encodingMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
-
- EncodingPrintWriter - Class in edu.stanford.nlp.io
-
A convenience IO class with print and println statements to
standard output and standard error allowing encoding in an
arbitrary character set.
- EncodingPrintWriter.err - Class in edu.stanford.nlp.io
-
Print methods wrapped around System.err
- EncodingPrintWriter.out - Class in edu.stanford.nlp.io
-
Print methods wrapped around System.out
- end() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- end() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- end(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- end(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- end(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- end(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
-
Returns the index of the next element after the subsequence captured by the given group
during this match.
- end - Variable in class edu.stanford.nlp.parser.common.ParserConstraint
-
- end - Variable in class edu.stanford.nlp.parser.lexparser.Item
-
- end - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
-
- end - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve.MentionData
-
- end() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- end - Variable in class edu.stanford.nlp.time.Timex.Range
-
- end() - Method in class edu.stanford.nlp.trees.Constituent
-
access end node.
- end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
-
access end node.
- end(String) - Method in class edu.stanford.nlp.util.Timing
-
Print the timing done message with elapsed time in x.y seconds.
- END_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- END_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
-
- END_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
-
- ENDCHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- endDocument() - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- endDoing() - Static method in class edu.stanford.nlp.util.Timing
-
Finish the line from startDoing with the end of the timing done message
and elapsed time in x.y seconds.
- endDoing(String) - Static method in class edu.stanford.nlp.util.Timing
-
Finish the line from startDoing with the end of the timing done message
and elapsed time in x.y seconds.
- endElement(String, String, String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
-
- endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- endIndex - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
One past the end word number within the sentence, indexed from 1
- endIndex - Variable in class edu.stanford.nlp.coref.data.Mention
-
- endIndex - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
One past the end word number, indexed from 1
- endIndex - Variable in class edu.stanford.nlp.dcoref.Mention
-
- ENDINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- ENDINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- ENDINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
-
- endNode - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
-
- endOfQueue() - Method in class edu.stanford.nlp.parser.shiftreduce.State
-
- endOfTagMap - Variable in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
-
- endPoint() - Method in class edu.stanford.nlp.time.Timex
-
- ENDPOINT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
- ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
-
- endPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the ending char offset of the label (or -1 if none).
- endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
-
Return the ending char offset of the label (or -1 if none).
- endPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
-
- endPosition() - Method in class edu.stanford.nlp.simple.Token
-
- endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
Signal that all threads have run to completion, and the multithreaded
environment is over.
- endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTime() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- endTime() - Static method in class edu.stanford.nlp.util.Timing
-
Return elapsed time on (static) timer (without stopping timer).
- endTime(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time on (static) timer (without stopping timer).
- endTime(String) - Static method in class edu.stanford.nlp.util.Timing
-
Print elapsed time on (static) timer to
System.err
(without stopping timer).
- endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
-
End a "track;" that is, return to logging at one level shallower.
- endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood
-
A utility method for closing calls to the anonymous startTrack() call.
- endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTrackIfOpen(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTracksTo(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- endTracksUntil(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- enforceLosslessSerialization - Variable in class edu.stanford.nlp.pipeline.ProtobufAnnotationSerializer
-
If true, serialization is guaranteed to be lossless or else a runtime exception is thrown
at serialization time.
- ENGLISH_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- English_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
English = 4;
- EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees
-
- EnglishGrammaticalStructure - Class in edu.stanford.nlp.trees
-
A GrammaticalStructure for English.
- EnglishGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Construct a new EnglishGrammaticalStructure
from an existing parse
tree.
- EnglishGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
This gets used by GrammaticalStructureFactory (by reflection).
- EnglishGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Construct a new GrammaticalStructure
from an existing parse
tree.
- EnglishGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Used for postprocessing CoNLL X dependencies
- EnglishGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees
-
- EnglishGrammaticalStructureFactory - Class in edu.stanford.nlp.trees
-
- EnglishGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- EnglishGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- EnglishGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
-
- EnglishMWTCombiner - Class in edu.stanford.nlp.trees.ud
-
- EnglishMWTCombiner() - Constructor for class edu.stanford.nlp.trees.ud.EnglishMWTCombiner
-
- EnglishPatterns - Class in edu.stanford.nlp.trees
-
This class contains some English String or Tregex regular expression
patterns.
- EnglishPTBTreebankCorrector - Class in edu.stanford.nlp.trees.treebank
-
Correct some of the errors in the LDC99T42 Penn Treebank 3.
- EnglishPTBTreebankCorrector() - Constructor for class edu.stanford.nlp.trees.treebank.EnglishPTBTreebankCorrector
-
- EnglishSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
-
- EnglishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
Parser parameters for the Penn English Treebank (WSJ, Brown, Switchboard).
- EnglishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- EnglishTreebankParserParams.EnglishSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
-
- EnglishTreebankParserParams.EnglishTest - Class in edu.stanford.nlp.parser.lexparser
-
- EnglishTreebankParserParams.EnglishTrain - Class in edu.stanford.nlp.parser.lexparser
-
- EnglishUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
-
This is a basic unknown word model for English.
- EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
-
- EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
-
This constructor creates an UWM with empty data structures.
- EnglishUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
-
- EnglishUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
-
- englishWordsFiles - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
English words that are not labeled when labeling using seed dictionaries
- enhance(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.SemanticGraphEnhancer
-
Performs all the enhancements in the following order:
Process quantificational modifiers
Collapse verbs with particles, and compound nouns.
Resolve pronouns.
Resolve plural nouns.
- enhanceConjuncts - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- ENHANCED_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Options for "Enhanced" representation:
Process multi-word prepositions: No
Add prepositions to relation labels: Yes
Add prepositions only to nmod relations: No
Add coordinating conjunctions to relation labels: Yes
Propagate dependents: Yes
Add "referent" relations: Yes
Add copy nodes for conjoined Ps and PPs: No
Turn quantificational modifiers into flat MWEs: No
Add relations between controlling subject and controlled verbs: Yes
- ENHANCED_PLUS_PLUS_OPTIONS - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Options for "Enhanced++" representation:
Process multi-word prepositions: Yes
Add prepositions to relation labels: Yes
Add prepositions only to nmod relations: No
Add coordinating conjunctions to relation labels: Yes
Propagate dependents: Yes
Add "referent" relations: Yes
Add copy nodes for conjoined Ps and PPs: Yes
Turn quantificational modifiers into flat MWEs: Yes
Add relations between controlling subject and controlled verbs: Yes
- ENHANCEDDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- EnhancedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation
-
- enhancedDependency - Variable in class edu.stanford.nlp.coref.data.Mention
-
- enhanceDependencies(Pattern, Annotation) - Static method in class edu.stanford.nlp.trees.ud.ProcessUniversalEnhancerRequest
-
Enhance the dependencies on a single sentence, using the given relative pronouns pattern
- ENHANCEDPLUSPLUSDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- EnhancedPlusPlusDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation
-
- ENHANCEDSENTENCE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- EnhancedSentenceAnnotation() - Constructor for class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils.EnhancedSentenceAnnotation
-
- enhanceEnglishDependencies(Annotation) - Static method in class edu.stanford.nlp.trees.ud.ProcessUniversalEnhancerRequest
-
Enhance the dependencies on a single sentence, using the English-specific rules for enhancement
- enhanceGraph(SemanticGraph, SemanticGraph, boolean, Embedding, Pattern) - Static method in class edu.stanford.nlp.trees.ud.UniversalEnhancer
-
- EnhancementOptions - Class in edu.stanford.nlp.trees.ud
-
Options for enhancing a basic dependency tree.
- EnhancementOptions(boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions
-
Constructor.
- EnhancementOptions(EnhancementOptions) - Constructor for class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- enhanceOnlyNmods - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- enhancePrepositionalModifiers - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- enRepairEdges(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
- ensure(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- ensureDir(File) - Static method in class edu.stanford.nlp.io.IOUtils
-
Given a filepath, makes sure a directory exists there.
- ensureFeature(String) - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace
-
An optimization, this lets clients inform the ConcatVectorNamespace of how many features to expect, so
that we can avoid resizing ConcatVectors.
- ensureKeys(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
ensures that counter t has all keys in keys.
- ensureList(U) - Method in class edu.stanford.nlp.util.MapList
-
- ensurePrerequisiteAnnotators(String[], Properties) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Take a collection of requested annotators, and produce a list of annotators such that all of the
prerequisites for each of the annotators in the input is met.
- ensureRealValues() - Method in class edu.stanford.nlp.classify.RVFDataset
-
Checks if the dataset has any unbounded values.
- ensureServer() - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator
-
Ensure that the server we're trying to connect to exists.
- ensureSize() - Method in class edu.stanford.nlp.classify.Dataset
-
- ensureSize() - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- ensureSparseFeature(String, String) - Method in class edu.stanford.nlp.loglinear.model.ConcatVectorNamespace
-
An optimization, this lets clients inform the ConcatVectorNamespace of how many sparse feature components to
expect, again so that we can avoid resizing ConcatVectors.
- ENTAILEDCLAUSE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- EntailedClausesAnnotation() - Constructor for class edu.stanford.nlp.naturalli.NaturalLogicAnnotations.EntailedClausesAnnotation
-
- ENTAILEDSENTENCE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- EntailedSentencesAnnotation() - Constructor for class edu.stanford.nlp.naturalli.NaturalLogicAnnotations.EntailedSentencesAnnotation
-
- entailmentsFromClause(SentenceFragment) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Returns all of the entailed shortened clauses (as per natural logic) from the given clause.
- entailmentsFromClauses(Collection<SentenceFragment>) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Returns all the maximally shortened entailed fragments (as per natural logic)
from the given collection of clauses.
- Entity - Class in edu.stanford.nlp.ie.machinereading.structure
-
Entity holds a map from entity to entity mentions.
- Entity() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Entity
-
- entity() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention
-
return the entity this entity mention is linked to
- ENTITY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- ENTITY_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.EntityExtractor
-
- entityAlias(CorefCluster, CorefCluster, Semantics, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityAlias(CorefCluster, CorefCluster, Semantics, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityAttributesAgree(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityAttributesAgree(CorefCluster, CorefCluster, boolean) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityAttributesAgree(CorefCluster, CorefCluster, Locale) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityAttributesAgree(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityAttributesAgree(CorefCluster, CorefCluster, boolean) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityBothHaveProper(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityBothHaveProper(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- EntityCachingAbstractSequencePrior<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
This class keeps track of all labeled entities and updates
its list whenever the label at a point gets changed.
- EntityCachingAbstractSequencePrior(String, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- EntityCachingAbstractSequencePriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie
-
This class keeps track of all labeled entities and updates the
its list whenever the label at a point gets changed.
- EntityCachingAbstractSequencePriorBIO(String, Index<String>, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
-
- entityClassifier - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- EntityClassifier - Class in edu.stanford.nlp.scenegraph
-
- EntityClassifier(String) - Constructor for class edu.stanford.nlp.scenegraph.EntityClassifier
-
- entityClusterAllCorefDictionary(CorefCluster, CorefCluster, Dictionaries, int, int) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityClusterAllCorefDictionary(CorefCluster, CorefCluster, Dictionaries, int, int) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityCorefDictionary(Mention, Mention, Dictionaries, int, int) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityCorefDictionary(Mention, Mention, Dictionaries, int, int) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityDifferentSpeaker(Document, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityExactStringMatch(CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityExactStringMatch(Mention, Mention, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityExactStringMatch(CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- EntityExtractor - Class in edu.stanford.nlp.scenegraph
-
- EntityExtractor() - Constructor for class edu.stanford.nlp.scenegraph.EntityExtractor
-
- EntityExtractorResultsPrinter - Class in edu.stanford.nlp.ie.machinereading
-
- EntityExtractorResultsPrinter() - Constructor for class edu.stanford.nlp.ie.machinereading.EntityExtractorResultsPrinter
-
- EntityExtractorResultsPrinter(Set<String>, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.EntityExtractorResultsPrinter
-
- entityGazetteerPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- entityHaveDifferentLocation(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityHaveDifferentLocation(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityHaveExtraProperNoun(Mention, Mention, Set<String>) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Have extra proper noun except strings involved in semantic match
- entityHaveExtraProperNoun(Mention, Mention, Set<String>) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Have extra proper noun except strings involved in semantic match
- entityHaveIncompatibleModifier(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Compatible modifier only
- entityHaveIncompatibleModifier(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Check whether later mention has incompatible modifier
- entityHaveIncompatibleModifier(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Compatible modifier only
- entityHaveIncompatibleModifier(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Check whether later mention has incompatible modifier
- entityHeadsAgree(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityHeadsAgree(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityIsAcronym(Document, CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityIsAcronym(Document, CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityIsApposition(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityIsApposition(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityIsPredicateNominatives(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityIsPredicateNominatives(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityIsRelativePronoun(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityIsRelativePronoun(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityIsRoleAppositive(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityIsRoleAppositive(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityIWithinI(CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityIWithinI(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Check whether two mentions are in i-within-i relation (Chomsky, 1981)
- entityIWithinI(CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityIWithinI(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Check whether two mentions are in i-within-i relation (Chomsky, 1981)
- entityMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- entityMatrixCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- entityMatrixEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- EntityMention - Class in edu.stanford.nlp.ie.machinereading.structure
-
Each entity mention is described by a type (possibly subtype) and a span of text
- EntityMention(String, CoreMap, Span, Span, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- entityMentionFactory - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
-
- EntityMentionFactory - Class in edu.stanford.nlp.ie.machinereading.structure
-
- EntityMentionFactory() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EntityMentionFactory
-
- ENTITYMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- ENTITYMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- EntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionIndexAnnotation
-
- entityMentions(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Annotate mentions
- entityMentions() - Method in class edu.stanford.nlp.pipeline.CoreDocument
-
the list of entity mentions in this document
- entityMentions() - Method in class edu.stanford.nlp.pipeline.CoreSentence
-
list of entity mentions
- EntityMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EntityMentionsAnnotation
-
- EntityMentionsAnnotator - Class in edu.stanford.nlp.pipeline
-
Annotator that marks entity mentions in a document.
- EntityMentionsAnnotator() - Constructor for class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
-
- EntityMentionsAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
-
- entityMentionsToCharacterMap(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
if no character list is provided, produce a list of person names from entity mentions annotation
- entityMentionsToCoreLabels(CoreMap, Set<String>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
Converts the labels of all entity mentions in this dataset to sequences of CoreLabels.
- ENTITYMENTIONTEXT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- EntityMentionToCorefMentionMappingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation
-
- ENTITYMENTIONTOCOREFMENTIONMAPPINGS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- entityNumberInLaterMention(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Check whether there is a new number in later mention
- entityNumberInLaterMention(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Check whether there is a new number in later mention
- entityPersonCompatible(Document, CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityPersonCompatible(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityPersonDisagree(Document, CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityPersonDisagree(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityPersonDisagree(Document, CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityPersonDisagree(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityRelaxedExactStringMatch(CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Exact string match except phrase after head (only for proper noun):
For dealing with a error like {@literal "[Mr.
- entityRelaxedExactStringMatch(CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Exact string match except phrase after head (only for proper noun):
For dealing with a error like {@literal "[Mr.
- entityRelaxedHeadsAgreeBetweenMentions(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityRelaxedHeadsAgreeBetweenMentions(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityResultsPrinters - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
-
- entitySameProperHeadLastWord(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entitySameProperHeadLastWord(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Check whether two mentions have the same proper head words
- entitySameProperHeadLastWord(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entitySameProperHeadLastWord(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Check whether two mentions have the same proper head words
- entitySameSpeaker(Document, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Do the mentions share the same speaker?
- entitySameSpeaker(Document, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Do the mentions share the same speaker?
- entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- entitySubclassify(List<TOK>, Class<? extends TypesafeMap.Key<String>>, String, String, boolean) - Static method in class edu.stanford.nlp.sequences.IOBUtils
-
This can be used to map from any IOB-style (i.e., "I-PERS" style labels)
or just categories representation to any other.
- entitySubjectObject(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entitySubjectObject(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityTokenDistance(Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
- entityTokenDistance(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
- entityType - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType
-
The entity type (left arg type) associated with this relation.
- entityType() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention
-
return the type of the entity mention
- ENTITYTYPE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
-
- entityTypeConfidences() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention
-
return a map of labels to confidences
- entityTypesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
-
- entityTypesAgree(Mention, Dictionaries, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
-
- entityTypesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
-
- entityTypesAgree(Mention, Dictionaries, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
-
- entityWordsIncluded(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Word inclusion except stop words
- entityWordsIncluded(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Word inclusion except stop words
- entropy(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- entropy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Calculates the entropy of the given counter (in bits).
- entrySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
-
- entrySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- entrySet() - Method in class edu.stanford.nlp.neural.Embedding
-
- entrySet() - Method in class edu.stanford.nlp.parser.shiftreduce.WeightMap
-
- entrySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a view of the entries in this counter.
- entrySet() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns a view of the entries in this counter.
- entrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
Returns the set of entries in the GeneralizedCounter.
- entrySet() - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns a view of the doubles in this map.
- entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
-
- entrySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Each element of the Set is a Map.Entry object, where getKey() returns the
key of the mapping, and getValue() returns the Collection mapped to by the
key.
- entrySet() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- entrySet() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
This is cheap.
- entrySet() - Method in class edu.stanford.nlp.util.DeltaMap
-
This is cheap.
- entrySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- entrySetLeftAsKey() - Method in class edu.stanford.nlp.util.OneToOneMap
-
- entrySetRightAsKey() - Method in class edu.stanford.nlp.util.OneToOneMap
-
- enumerationsMentionPattern - Static variable in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
Extract enumerations (A, B, and C)
- Env - Class in edu.stanford.nlp.ling.tokensregex
-
Holds environment variables to be used for compiling string into a pattern.
- Env(SequencePattern.Parser) - Constructor for class edu.stanford.nlp.ling.tokensregex.Env
-
- env - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- Env - Class in edu.stanford.nlp.semgraph.semgrex
-
- Env() - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
-
- Env(Map<String, Object>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Env
-
- env - Variable in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- Env.Binder - Interface in edu.stanford.nlp.ling.tokensregex
-
Interface for performing custom binding of values to the environment
- EnvLookup - Class in edu.stanford.nlp.ling.tokensregex
-
Provides lookup functions using an Env
- EOL - Static variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
The end of line string for this machine.
- EOL - Static variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
The end of line string for this machine.
- EOL - Static variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
The end of line string for this machine.
- EOL - Static variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
The end of line string for this machine.
- EOL_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.TokenizerAnnotator
-
- eolChar - Static variable in class edu.stanford.nlp.io.IOUtils
-
- eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
-
- EOS_TAG - Static variable in class edu.stanford.nlp.tagger.common.Tagger
-
- EOS_WORD - Static variable in class edu.stanford.nlp.tagger.common.Tagger
-
- EPEOutputter - Class in edu.stanford.nlp.pipeline
-
Output dependency annotations in the format for the EPE task
at Depling 2017.
- EPEOutputter() - Constructor for class edu.stanford.nlp.pipeline.EPEOutputter
-
- epochs(int) - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel.Builder
-
- epochs - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
-
Number of times through all the trees
- eps - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Only used in the IIS optimization routines.
- EPS - Variable in class edu.stanford.nlp.optimization.SparseAdaGradMinimizer
-
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- epsilon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- EPSILON_INPUT - Static variable in class edu.stanford.nlp.fsm.TransducerGraph
-
- equalContents(int[][], int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Tests two int[][] arrays for having equal contents.
- equalContents(int[], int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
tests two int[] arrays for having equal contents
- equalContext(Pattern) - Method in class edu.stanford.nlp.patterns.dep.DepPattern
-
- equalContext(Pattern) - Method in class edu.stanford.nlp.patterns.Pattern
-
- equalContext(Pattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- equalContext(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- equals(Object) - Method in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
- equals(Object) - Method in class edu.stanford.nlp.coref.data.CorefChain
-
- equals(Object) - Method in class edu.stanford.nlp.coref.data.Mention
-
- equals(Object) - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
- equals(Object) - Method in class edu.stanford.nlp.dcoref.CorefChain
-
- equals(Object) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- equals(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
-
- equals(Object) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFDatum
-
Returns whether the given Datum contains the same features as this Datum.
- equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- equals(EntityMention, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
- equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- equals(Object) - Method in class edu.stanford.nlp.ie.pascal.Alignment
-
- equals(Object) - Method in class edu.stanford.nlp.ie.pascal.DateTemplate
-
- equals(Object) - Method in class edu.stanford.nlp.ie.pascal.InfoTemplate
-
- equals(Object) - Method in class edu.stanford.nlp.ie.pascal.PascalTemplate
-
- equals(Object) - Method in class edu.stanford.nlp.ie.util.RelationTriple
- equals(Object) - Method in class edu.stanford.nlp.ling.BasicDatum
-
Returns whether the given Datum contains the same features as this Datum.
- equals(Object) - Method in class edu.stanford.nlp.ling.IndexedWord
-
This .equals is dependent only on docID, sentenceIndex, emptyIndex, and index.
- equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag
-
- equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag.Tag
-
- equals(Object) - Method in class edu.stanford.nlp.ling.RVFDatum
-
Returns whether the given RVFDatum contains the same features with the same
values as this RVFDatum.
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel
-
Equality for ValueLabel
s is defined in the first instance
as equality of their String
value()
.
- equals(Object) - Method in class edu.stanford.nlp.ling.WordLemmaTag
-
Equality is satisfied only if the compared object is a WordLemmaTag
and has String-equal word, lemma and tag fields.
- equals(Object) - Method in class edu.stanford.nlp.ling.WordTag
-
A WordTag is equal only to another WordTag with the same word and tag values.
- equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
- equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
- equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
- equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
- equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
- equals(Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
- equals(Object) - Method in class edu.stanford.nlp.math.DoubleAD
-
- equals(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- equals(double, double, double) - Method in class edu.stanford.nlp.math.DoubleAD
-
- equals(Object) - Method in class edu.stanford.nlp.naturalli.OperatorSpec
-
- equals(Object) - Method in class edu.stanford.nlp.naturalli.Polarity
-
- equals(Object) - Method in class edu.stanford.nlp.naturalli.SentenceFragment
-
- equals(Object) - Method in class edu.stanford.nlp.neural.VectorMap
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Edge
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Hook
-
Hooks are equal if they have same state, substate, head, tag, start,
and end.
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
-
A UnaryRule is equal to another UnaryRule with the same parent and child.
- equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
-
- equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
-
- equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
-
- equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
-
- equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
-
- equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
-
- equals(Object) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- equals(Object) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables.ScorePhraseMeasures
-
- equals(Object) - Method in class edu.stanford.nlp.patterns.dep.DepPattern
-
- equals(Object) - Method in class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- equals(Object) - Method in class edu.stanford.nlp.patterns.surface.PatternToken
-
- equals(Object) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- equals(Object) - Method in class edu.stanford.nlp.patterns.surface.Token
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
-
- equals(Object) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP.AnnotatorSignature
-
- equals(Object) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve.MentionData
-
- equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageAttribute
-
- equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageBoundingBox
-
- equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageObject
-
- equals(Object) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRelationship
-
- equals(Object) - Method in class edu.stanford.nlp.scenegraph.SceneGraphAttribute
-
- equals(Object) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
-
- equals(Object) - Method in class edu.stanford.nlp.scenegraph.SceneGraphRelation
-
- equals(SemanticGraphEdge, SemanticGraphEdge, SemanticGraph, SemanticGraph) - Method in interface edu.stanford.nlp.semgraph.ISemanticGraphEdgeEql
-
- equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphUtils.PositionedTree
-
- equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
Defined on map only.
- equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
-
- equals(SsurgeonEdit) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit
-
- equals(Object) - Method in class edu.stanford.nlp.simple.Document
-
- equals(Object) - Method in class edu.stanford.nlp.simple.Sentence
- equals(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Equality is defined over all Counter implementations.
- equals(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Default equality comparison for two counters potentially backed by
alternative implementations.
- equals(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Equality comparison between two counters, allowing for a tolerance fudge factor.
- equals(Object) - Method in class edu.stanford.nlp.stats.Distribution
-
- equals(Distribution<E>) - Method in class edu.stanford.nlp.stats.Distribution
-
- equals(Object) - Method in class edu.stanford.nlp.stats.Gamma
-
- equals(Object) - Method in class edu.stanford.nlp.stats.IntCounter
-
- equals(Object) - Method in class edu.stanford.nlp.stats.Multinomial
-
- equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
Equality is tested only on the word, and not the various counts
that are maintained.
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
-
- equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.History
-
- equals(Object) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- equals(Object) - Method in class edu.stanford.nlp.time.Timex
-
- equals(Object) - Method in class edu.stanford.nlp.trees.CollinsDependency
-
- equals(Object) - Method in class edu.stanford.nlp.trees.CollinsRelation
-
- equals(Object) - Method in class edu.stanford.nlp.trees.Constituent
-
Compare with another Object for equality.
- equals(Object) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Grammatical relations are equal with other grammatical relations if they
have the same shortName and specific (if present).
- equals(Object) - Method in class edu.stanford.nlp.trees.NamedDependency
-
- equals(Span) - Method in class edu.stanford.nlp.trees.Span
-
An overloading for efficiency for when you know that you're comparing
with a Span.
- equals(Object) - Method in class edu.stanford.nlp.trees.Tree
-
Implements equality for Tree's.
- equals(Object) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Implements equality for TreeGraphNode
s.
- equals(Object) - Method in class edu.stanford.nlp.trees.TypedDependency
-
- equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- equals(Object) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Two CoreMaps are equal iff all keys and values are .equal.
- equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
-
- equals(Object) - Method in class edu.stanford.nlp.util.ArrayStringFilter
-
- equals(double[][], double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Tests two double[][] arrays for having equal contents.
- equals(boolean[][], boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
Tests two boolean[][] arrays for having equal contents.
- equals(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- equals(Object) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- equals(Object) - Method in class edu.stanford.nlp.util.HashableCoreMap
-
If the provided object is a HashableCoreMap, equality is based only
upon the values of the immutable hashkeys; otherwise, defaults to
behavior of the superclass's equals method.
- equals(Object) - Method in class edu.stanford.nlp.util.HashIndex
-
- equals(Object) - Method in class edu.stanford.nlp.util.IntArray
-
- equals(Object) - Method in class edu.stanford.nlp.util.Interval
-
- equals(Object) - Method in class edu.stanford.nlp.util.IntPair
-
- equals(Object) - Method in class edu.stanford.nlp.util.IntTuple
-
- equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- equals(Redwood.Record, Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
-
- equals(Object) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- equals(Object) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
- equals(Object) - Method in class edu.stanford.nlp.util.MetaClass
-
- equals(Object) - Method in class edu.stanford.nlp.util.MutableDouble
-
Compares this object to the specified object.
- equals(Object) - Method in class edu.stanford.nlp.util.MutableInteger
-
Compares this object to the specified object.
- equals(Object) - Method in class edu.stanford.nlp.util.MutableLong
-
Compares this object to the specified object.
- equals(Object) - Method in class edu.stanford.nlp.util.Pair
-
- equals(Object) - Method in class edu.stanford.nlp.util.Quadruple
-
- equals(Object) - Method in class edu.stanford.nlp.util.Quintuple
-
- equals(Object) - Method in class edu.stanford.nlp.util.RegexStringFilter
-
- equals(Object) - Method in class edu.stanford.nlp.util.ScoredComparator
-
- equals(Object) - Method in class edu.stanford.nlp.util.TreeShapedStack
-
- equals(Object) - Method in class edu.stanford.nlp.util.Trilean
-
Returns whether this Trilean is equal either to the given Trilean, or the given Boolean.
- equals(Object) - Method in class edu.stanford.nlp.util.Triple
-
- equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
-
- equals(Object) - Method in class edu.stanford.nlp.util.UnorderedPair
-
- EQUALS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- equalsBinary(List<BinaryRule>, List<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
-
- equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.CollinsDependency
-
- equalsIgnoreName(Object) - Method in interface edu.stanford.nlp.trees.Dependency
-
Are two dependencies equal if you ignore the dependency name.
- equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
-
- EqualsNodePattern(T) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
-
- equalsUnary(List<UnaryRule>, List<UnaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
-
- EQUIVALENCE_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
-
EQUIVALENCE = 0;
- equivalenceClass(IN) - Method in interface edu.stanford.nlp.stats.EquivalenceClasser
-
- equivalenceClass(Object) - Method in class edu.stanford.nlp.trees.WordCatEquivalenceClasser
-
- EquivalenceClasser<IN,OUT> - Interface in edu.stanford.nlp.stats
-
A strategy-type interface for specifying a function from Object
s
to their equivalence classes.
- equivalenceClasses - Variable in class edu.stanford.nlp.sentiment.RNNOptions
-
The following option represents classes which can be treated as
equivalent when scoring.
- EquivalenceClassEval<IN,OUT> - Class in edu.stanford.nlp.stats
-
A class for calculating precision and recall statistics based on
comparisons between two Collection
s.
- EquivalenceClassEval() - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval
-
Specifies a default EquivalenceClassEval, using Object.equals(java.lang.Object)
as equality criterion
and grouping all items into the "null" equivalence class for reporting purposes
- EquivalenceClassEval(EquivalenceClasser<IN, OUT>) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval
-
Specifies an EquivalenceClassEval using Object.equals(java.lang.Object)
as equality criterion
and grouping all items according to the EquivalenceClasser argument.
- EquivalenceClassEval(EquivalenceClassEval.EqualityChecker<IN>) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval
-
Specifies an EquivalenceClassEval using the Eval.EqualityChecker argument as equality criterion
and grouping all items into a single equivalence class for reporting statistics.
- EquivalenceClassEval(EquivalenceClasser<IN, OUT>, String) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval
-
Specifies an EquivalenceClassEval using Object.equals(java.lang.Object)
as equality criterion
and grouping all items according to the EquivalenceClasser argument.
- EquivalenceClassEval(EquivalenceClasser<IN, OUT>, EquivalenceClassEval.EqualityChecker<IN>) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval
-
Specifies an EquivalenceClassEval using the Eval.EqualityChecker argument as equality criterion
and grouping all items according to the EquivalenceClasser argument.
- EquivalenceClassEval(EquivalenceClasser<IN, OUT>, EquivalenceClassEval.EqualityChecker<IN>, String) - Constructor for class edu.stanford.nlp.stats.EquivalenceClassEval
-
Specifies an EquivalenceClassEval using the Eval.EqualityChecker argument as equality criterion
and grouping all items according to the EquivalenceClasser argument.
- equivalenceClassEval() - Method in interface edu.stanford.nlp.stats.EquivalenceClassEval.Factory
-
- EquivalenceClassEval.EqualityChecker<T> - Interface in edu.stanford.nlp.stats
-
A strategy-type interface for specifying an equality criterion for pairs of Object
s.
- EquivalenceClassEval.Factory<IN,OUT> - Interface in edu.stanford.nlp.stats
-
- equivalenceClassNames - Variable in class edu.stanford.nlp.sentiment.RNNOptions
-
- era - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
-
Era: BC is era 0, AD is era 1, Unknown is -1
- ERA_AD - Static variable in class edu.stanford.nlp.time.SUTime
-
- ERA_BC - Static variable in class edu.stanford.nlp.time.SUTime
-
- ERA_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
-
- ErasureUtils - Class in edu.stanford.nlp.util
-
Class to gather unsafe operations into one place.
- err() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
-
- ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
-
- err(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
-
- err(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- errf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
Log to the error channel.
- error - Variable in exception edu.stanford.nlp.graph.CyclicGraphException
-
- error(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
-
- error(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
- errorLevel() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Run Redwood with SLF4J if available, otherwise with stderr logging at the error only level.
- errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
-
- errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- errorMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- escape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
-
Escapes tokens from flat strings that are reserved for usage in the ATB.
- escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a String in which some XML special characters have been
escaped.
- escapeChar(String, char) - Static method in class edu.stanford.nlp.process.LexerUtils
-
This quotes a character with a backslash, but doesn't do it
if the character is already preceded by a backslash.
- escapeElementXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a String in which some the XML special characters have been
escaped: just the ones that need escaping in an element content.
- escapeJsonString(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- escaper - Variable in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
-
- escaper - Variable in class edu.stanford.nlp.parser.nndep.Config
-
Defines a word-escaper to use when parsing raw sentences.
- escapeString(String) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
-
- escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
-
- escapeTextAroundXMLTags(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
- escapeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
-
Returns a String in which all the XML special characters have been
escaped.
- estimateInitial - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- eta - Variable in class edu.stanford.nlp.optimization.SparseAdaGradMinimizer
-
- ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "etc" grammatical relation.
- ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "etc" grammatical relation.
- ETC_PAT - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- ETC_PAT_target - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
-
- EURO - Static variable in class edu.stanford.nlp.ie.qe.Units.Currencies
-
- Eval - Interface in edu.stanford.nlp.parser.metrics
-
An interface which can be implemented by anything that evaluates
one tree at a time and then prints out a summary when done.
- eval(List<Tree>) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- eval(Tree) - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- eval(Tree) - Method in class edu.stanford.nlp.sentiment.Evaluate
-
- eval(Collection<IN>, Collection<IN>) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
-
Adds a round of evaluation between guesses and golds Collection
s to the tabulated statistics of
the evaluation.
- eval(Collection<IN>, Collection<IN>, PrintWriter) - Method in class edu.stanford.nlp.stats.EquivalenceClassEval
-
- evalb - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
Write EvalB-readable output files.
- Evalb - Class in edu.stanford.nlp.parser.metrics
-
A Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input.
- Evalb(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb
-
- Evalb.CBEval - Class in edu.stanford.nlp.parser.metrics
-
- EvalbByCat - Class in edu.stanford.nlp.parser.metrics
-
Computes labeled precision and recall (evalb) at the constituent category level.
- EvalbByCat(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
-
- EvalbByCat(String, boolean, String) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
-
- EvalbFormatWriter - Class in edu.stanford.nlp.parser.metrics
-
- EvalbFormatWriter() - Constructor for class edu.stanford.nlp.parser.metrics.EvalbFormatWriter
-
- evalBIgnoredPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- evalBIgnoredPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts a String that is a punctuation
tag that should be ignored by EVALB-style evaluation,
and rejects everything else.
- evalBIgnoredPunctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a filter that accepts everything except a String that is a
punctuation tag that should be ignored by EVALB-style evaluation.
- evalBIgnoredPunctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a filter that accepts everything except a String that is a
punctuation tag that should be ignored by EVALB-style evaluation.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
-
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalBIgnoredPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a String array of punctuation tags that EVALB-style evaluation
should ignore for this treebank/language.
- evalCmd - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- evalGF - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
If true, then evaluation is over grammatical functions as well as the labels
If false, then grammatical functions are stripped for evaluation.
- evalPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If using a kBest eval, use this many trees.
- evalPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config
-
During training, run a full UAS evaluation after every
evalPerIter
iterations.
- evals - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
What evaluations to report and how to report them
(using LexicalizedParser).
- evaluate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- evaluate(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
-
- evaluate(Env, Object...) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
-
Evaluates the expression using the specified environment and
arguments.
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.IfExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
-
- evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- evaluate(double[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- evaluate(double[]) - Method in interface edu.stanford.nlp.optimization.Evaluator
-
- evaluate(double[]) - Method in class edu.stanford.nlp.optimization.MemoryEvaluator
-
- evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
-
- evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
-
- evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
-
- evaluate(List<Tree>, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.CollinsDepEval
-
- evaluate(Tree, Tree) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- evaluate(Tree, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- evaluate(Tree, Tree, PrintWriter, double) - Method in interface edu.stanford.nlp.parser.metrics.Eval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
-
- evaluate(ParserQuery, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.ParserQueryEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
-
- evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
-
- evaluate(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Evaluate performance on a list of sentences, predicted parses,
and gold parses.
- evaluate(ParserQuery, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TransitionTypeEval
-
- evaluate(ParserQuery, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TreeRecorder
-
- evaluate - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- evaluate(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- evaluate(SceneGraph, SceneGraphImageRegion) - Method in class edu.stanford.nlp.scenegraph.SceneGraphEvaluation
-
- evaluate(SceneGraphImageRegion, SceneGraphImageRegion) - Method in class edu.stanford.nlp.scenegraph.SceneGraphEvaluation
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
-
TODO: bombproof if this gov, dep, and reln already exist.
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
If the edge already exists in the graph,
a new edge is not added.
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CollapseSubtree
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.CombineMWT
-
Combine the nodes named in the expression, as long as they are all in a row
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteGraphFromNode
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.DeleteLeaf
-
If executed twice on the same node, the second time there
will be no further updates
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.EditNode
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.KillAllIncomingEdges
-
If executed twice on the same node, the second time there
will be no further updates
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.KillNonRootedNodes
-
If executed twice on the same graph, the second time there
will be no further updates
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Lemmatize
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.MergeNodes
-
If the two named nodes are next to each other, and the edges of
the graph allow for it, squish the two words into one word
- evaluate(IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
-
- evaluate(IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.WordlistTest
-
Checks to see if the given node's field matches the resource
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReattachNamedEdge
-
"Reattach" the named edge by removing it and then recreating it with the new gov and/or dep
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.ReindexGraph
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RelabelNamedEdge
-
"Rename" the named edge by removing it and then recreating it
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge
-
Remove all edges from gov to dep that match the relation name.
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveNamedEdge
-
Removes the named edge from the graph, if it exists.
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SetRoots
-
If executed twice on the same graph, the second time there
will be no further updates
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SplitWord
-
- evaluate(SemanticGraph, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit
-
Given a matching instance (via the SemgrexMatcher), performs an in-place
modification on the given SemanticGraph.
- Evaluate - Class in edu.stanford.nlp.sentiment
-
- Evaluate(SentimentModel) - Constructor for class edu.stanford.nlp.sentiment.Evaluate
-
- evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher
-
Evaluates the surgery pattern against a
Tree
and a
TregexMatcher
that has been successfully matched against the tree.
- evaluateAccuracy(GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
-
Evaluate the accuracy of this classifier on the given dataset.
- evaluateBackground - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
When scoring, count the background symbol stats too.
- evaluateCmd(String[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- evaluateCoverage(Collection<Tree>, Set<String>, Set<String>, Set<IntTaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Evaluates how many words (= terminals) in a collection of trees are
covered by the lexicon.
- EvaluateExternalParser - Class in edu.stanford.nlp.parser.metrics
-
- EvaluateExternalParser(String...) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateExternalParser
-
- evaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- evaluatePrecisionAndRecall(GeneralDataset<L, F>, L) - Method in interface edu.stanford.nlp.classify.Classifier
-
Evaluates the precision and recall of this classifier against a dataset, and the target label.
- evaluateTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- EvaluateTreebank - Class in edu.stanford.nlp.parser.metrics
-
- EvaluateTreebank(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateTreebank
-
- EvaluateTreebank(Options, Lexicon, ParserGrammar) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateTreebank
-
- EvaluateTreebank(Options, Lexicon, ParserQueryFactory, Function<List<? extends HasWord>, List<TaggedWord>>, List<Eval>, List<ParserQueryEval>) - Constructor for class edu.stanford.nlp.parser.metrics.EvaluateTreebank
-
- EvaluateTreebank.EvaluationDataset - Interface in edu.stanford.nlp.parser.metrics
-
Wrapper for a way to pass in a dataset which may need reprocessing to get parse results
- EvaluateTreebank.PreparsedEvaluationDataset - Class in edu.stanford.nlp.parser.metrics
-
Wrapper for a dataset which was already parsed, such as that passed in to EvaluateExternalParser.
- EvaluateTreebank.TreebankEvaluationDataset - Class in edu.stanford.nlp.parser.metrics
-
- EvaluationMetric - Class in edu.stanford.nlp.parser.metrics
-
A general class that scores precision, recall, and F1.
- EvaluationMetric() - Constructor for class edu.stanford.nlp.parser.metrics.EvaluationMetric
-
- Evaluator - Interface in edu.stanford.nlp.optimization
-
- EvalUtils - Class in edu.stanford.nlp.coref.statistical
-
Utility classes for computing the B^3 and MUC coreference metrics
- EvalUtils() - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils
-
- EvalUtils.AbstractEvaluator - Class in edu.stanford.nlp.coref.statistical
-
- EvalUtils.B3Evaluator - Class in edu.stanford.nlp.coref.statistical
-
- EvalUtils.CombinedEvaluator - Class in edu.stanford.nlp.coref.statistical
-
- EvalUtils.Evaluator - Interface in edu.stanford.nlp.coref.statistical
-
- EvalUtils.MUCEvaluator - Class in edu.stanford.nlp.coref.statistical
-
- EVENING - Static variable in class edu.stanford.nlp.time.SUTime
-
- EVENING_TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
-
- Event - Class in edu.stanford.nlp.ie.machinereading.structure
-
Event holds a map from event to event mentions.
- Event() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Event
-
- EventMention - Class in edu.stanford.nlp.ie.machinereading.structure
-
- EventMention(String, CoreMap, Span, String, String, ExtractionObject, List<ExtractionObject>, List<String>) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- EventMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EventMentionsAnnotation
-
- eventResultsPrinters - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- everLive - Variable in class edu.stanford.nlp.pipeline.WebServiceAnnotator
-
If true, we have connected to the server at some point.
- exact - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
-
- EXACT - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
- EXACT_ARG - Static variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
-
- ExactAutomatonMinimizer - Class in edu.stanford.nlp.fsm
-
Minimization of a FA in n log n a la Hopcroft.
- ExactAutomatonMinimizer(boolean) - Constructor for class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- ExactAutomatonMinimizer() - Constructor for class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- ExactBestSequenceFinder - Class in edu.stanford.nlp.sequences
-
A class capable of computing the best sequence given a SequenceModel.
- ExactBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.ExactBestSequenceFinder
-
- exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Find a one tailed exact binomial test probability.
- ExactGrammarCompactor - Class in edu.stanford.nlp.parser.lexparser
-
- ExactGrammarCompactor(Options, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
-
- ExactMatchCost<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
-
Exact match cost function
- ExactMatchCost() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
-
- ExactMatchCost(double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
-
- ExactMatchCost(double, double, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
-
- exactNodeAccuracy() - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- ExactRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
-
- exactRequirements() - Method in interface edu.stanford.nlp.pipeline.Annotator
-
- exactRequirements() - Method in class edu.stanford.nlp.pipeline.CorefAnnotator
-
- exactRootAccuracy() - Method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- ExactStringMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
-
- ExactStringMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ExactStringMatch
-
- ExactStringMatch - Class in edu.stanford.nlp.dcoref.sievepasses
-
- ExactStringMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.ExactStringMatch
-
- examineCRF(ClassifierCombiner, String, SeqClassifierFlags, String, String, DocumentReaderAndWriter<CoreLabel>) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- examineIntersection(Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- Example - Class in edu.stanford.nlp.coref.statistical
-
A representation of a mention-pair for training coreference models.
- Example(int, Mention, Mention, double, CompressedFeatureVector) - Constructor for class edu.stanford.nlp.coref.statistical.Example
-
- Example(Example, boolean) - Constructor for class edu.stanford.nlp.coref.statistical.Example
-
- examples - Variable in class edu.stanford.nlp.coref.statistical.DocumentExamples
-
- excelify(String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
Process string to be a cell in Excel file.
- ExceptionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ExceptionAnnotation
-
- ExciseNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Excises all nodes from the top to the bottom, and puts all the children of bottom node in where the top was.
- ExciseNode(TsurgeonPattern, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
-
Top should evaluate to a node that dominates bottom, but this is not checked!
- ExciseNode(TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.ExciseNode
-
Excises only the directed node.
- execute(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
Executes the given sequence of edits against the SemanticGraph.
- execute(SemanticGraph, SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
Executes the Ssurgeon edit, but with the given Semgrex Pattern, instead of the one attached to this
pattern.
- executeOneTrainingBatch(List<Tree>, IdentityHashMap<Tree, byte[]>, double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
-
- exhaustFromPatterns(List<SsurgeonPattern>, SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
-
Similar to the expandFromPatterns, but performs an exhaustive
search, performing simplifications on the graphs until exhausted.
- ExhaustiveDependencyParser - Class in edu.stanford.nlp.parser.lexparser
-
An exhaustive O(n4t2) time and O(n2t)
space dependency parser.
- ExhaustiveDependencyParser(DependencyGrammar, Lexicon, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
- ExhaustivePCFGParser - Class in edu.stanford.nlp.parser.lexparser
-
An exhaustive generalized CKY PCFG parser.
- ExhaustivePCFGParser(BinaryGrammar, UnaryGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
- exhaustiveTest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
- exists(Map<String, String>, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
Verifies if the given string exists in the given dictionary
- existsAndNonEmpty(File) - Static method in class edu.stanford.nlp.io.FileSystem
-
Returns whether a file object both exists and has contents (i.e.
- existsInClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Check if this path exists either in the classpath or on the filesystem.
- existsTable(String) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
-
- exit() - Method in class edu.stanford.nlp.ie.NERGUI
-
- exit(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Exits with a given status code
- exit() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
-
Exits with status code 0, stopping Redwood first
- exp(double) - Static method in class edu.stanford.nlp.loglinear.inference.TableFactor
-
Fast approximation of the exp() function.
- exp(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
-
- exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- expand(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
-
Returns (smallest) interval that contains both this and the other interval
- expandDependency(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
The dependency arg is still in the full tag space.
- expandDependencyMap - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
-
- expandEnvironmentVariables(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME)
with its actual environment variable from the passed environment specification.
- expandEnvironmentVariables(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Takes an input String, and replaces any bash-style variables (e.g., $VAR_NAME)
with its actual environment variable from System.getenv()
.
- expandFromPatterns(List<SsurgeonPattern>, SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
-
Given a list of SsurgeonPattern edit scripts, and a SemanticGraph
to operate over, returns a list of expansions of that graph, with
the result of each edit applied against a copy of the graph.
- expandMidDot - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- expandNegativesWhenSampling - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- expandPhrases(Tree, TreeNormalizer, TreeFactory) - Method in class edu.stanford.nlp.international.spanish.pipeline.MultiWordTreeExpander
-
Recognize candidate patterns for expansion in the given tree and
perform the expansions.
- expandPhrasesNumTopSimilar - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- expandPositivesWhenSampling - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- expandStringRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- expandToInclude(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
-
- expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- expectedCountsAndValueForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedCountsAndValueForADoc(double[][], int, boolean, boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- expectedTokenSequences - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
-
Each entry in this array is an array of integers.
- expectedTokenSequences - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
-
Each entry in this array is an array of integers.
- expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
-
Each entry in this array is an array of integers.
- expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
-
Each entry in this array is an array of integers.
- expectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Each pair x,y has a value in p.data.values[x][y]
- Experiments - Class in edu.stanford.nlp.maxent
-
This class represents the training samples.
- Experiments() - Constructor for class edu.stanford.nlp.maxent.Experiments
-
- Experiments(int[][]) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
If this constructor is used, the maximum possible class overall is found and all classes are assumed possible
for all instances.
- Experiments(int[][], int[]) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
The number of possible classes for each instance is contained in the array maxYs
then the possible classes for x are from 0 to maxYs[x]-1.
- Experiments(int[][], int) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
- Experiments(String) - Constructor for class edu.stanford.nlp.maxent.Experiments
-
The filename has format: <data><xSize>xSize</xSize><ySize>ySize</ySize>
x1 y1
x2 y2
..
- expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- expInPlace(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
-
- EXPLETIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "expletive" grammatical relation.
- EXPLETIVE - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- EXPLETIVE - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "expletive" grammatical relation.
- ExplicitTemporalSet(SUTime.Temporal...) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- ExplicitTemporalSet(Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- ExplicitTemporalSet(SUTime.ExplicitTemporalSet, Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- exportData(String, CorefProperties.Dataset, Properties, Dictionaries) - Static method in class edu.stanford.nlp.coref.neural.NeuralCorefDataExporter
-
- exportFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- expr - Variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
-
- EXPR_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_LENGTH_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_ORDER_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_PRIORITY_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_TOKEN_OFFSET_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_TOKEN_OFFSETS_NESTED_FIRST_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- EXPR_WEIGHT_SCORER - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- Expression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- Expression - Interface in edu.stanford.nlp.ling.tokensregex.types
-
This interface represents an expression that can be evaluated to obtain a value.
- ExpressionExtractorRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- Expressions - Class in edu.stanford.nlp.ling.tokensregex.types
-
Various implementations of the Expression interface, which is
used for specifying an "action" or "result" in TokensRegex extraction rules.
- Expressions.AndExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.AssignableFunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
A function call that can be assigned a value.
- Expressions.CaseExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.CompositeValue - Class in edu.stanford.nlp.ling.tokensregex.types
-
A composite value with field names and values for each field
- Expressions.ConditionalExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.FieldExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.FunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.IfExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.IndexedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.ListExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.MethodCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.NotExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.OrExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.PrimitiveValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
Primitive value that is directly represented by a Java object of type T
- Expressions.RegexMatchResultVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.RegexMatchVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
- Expressions.RegexValue - Class in edu.stanford.nlp.ling.tokensregex.types
-
A string that represents a regular expression
- Expressions.SimpleCachedExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
A simple implementation of an expression that is represented by a java object of type T
and which also has a cached Value stored with it
- Expressions.SimpleExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
A simple implementation of an expression that is represented by a java object of type T
- Expressions.SimpleValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types
-
Simple implementation of Value backed by a java object of type T
- Expressions.TypedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
An expression with a typename and tags.
- Expressions.VarAssignmentExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
A variable assignment with the name of the variable, and the expression to assign to that variable
- Expressions.VarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
A variable, which can be assigned any expression.
- Expressions.WrappedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
-
An expression that is a wrapper around another expression.
- expressionToValue - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- exSize - Variable in class edu.stanford.nlp.maxent.Problem
-
- ExtensionFileFilter - Class in edu.stanford.nlp.io
-
Implements a file filter that uses file extensions to filter files.
- ExtensionFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
-
Sets up Extension file filter by specifying an extension
to accept (currently only 1) and whether to also display
folders for recursive search.
- ExtensionFileFilter(String) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
-
Sets up an extension file filter that will recurse into sub directories.
- EXTENTEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
- EXTENTEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
- EXTENTSTART_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
- EXTENTSTART_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
- extentTokenSpan - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
Maximal token span relevant for this object, e.g., the largest NP for an entity mention
The offsets are relative to the sentence that contains this object
- ExternalEvaluate - Class in edu.stanford.nlp.sentiment
-
Evaluate predictions made outside of the RNTN.
- ExternalEvaluate(RNNOptions, List<Tree>) - Constructor for class edu.stanford.nlp.sentiment.ExternalEvaluate
-
- externalFeatureWeightsDir - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- ExternalParserQuery - Class in edu.stanford.nlp.parser.metrics
-
- ExternalParserQuery(List<? extends HasWord>, List<ScoredObject<Tree>>) - Constructor for class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- extra() - Method in class edu.stanford.nlp.trees.TypedDependency
-
- extract(int, Document, Map<Pair<Integer, Integer>, Boolean>) - Method in class edu.stanford.nlp.coref.statistical.FeatureExtractor
-
- extract(int, Document, Map<Pair<Integer, Integer>, Boolean>, Compressor<String>) - Method in class edu.stanford.nlp.coref.statistical.FeatureExtractor
-
- extract(CoreMap) - Method in class edu.stanford.nlp.ie.qe.QuantifiableEntityExtractor
-
- extract(S, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- extract(List<? extends CoreMap>, List<MatchedExpression>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.BasicSequenceExtractRule
-
- extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
-
- extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
-
- extract(I, List<O>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ExtractRule
-
- extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
-
- extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- extract(List<? extends T>, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
-
- extract(List<? extends T>, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- extract(String, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- extract(SemanticGraph, List<CoreLabel>) - Method in class edu.stanford.nlp.naturalli.RelationTripleSegmenter
-
Extract the nominal patterns from this sentence.
- extract() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Iterator<Tree>, Function<Tree, Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
-
- extract(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
-
- extract(Iterator<Tree>, Function<Tree, Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
-
- extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
-
- extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
-
First, we do a few setup steps.
- EXTRACT_UNCLOSED - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- extractAllAttributes(List<SceneGraphImage>) - Static method in class edu.stanford.nlp.scenegraph.SceneGraphImageCleaner
-
- extractAllRelations(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
Predict a relation for each pair of entities in the sentence; including relations of type unrelated.
- extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractAnnotation(List<? extends CoreMap>, CoreMapAggregator) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpression
-
- extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.time.TimeExpression
-
- extractAttributes(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.EntityExtractor
-
- extractBestParse(String, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
Return the best parse of some category/state over a certain span.
- extractBestParses(int, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
Return all best parses (except no ties allowed on POS tags?).
- extractCombinationMode(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
Either finds COMBINATION_MODE_PROPERTY or returns a default value.
- extractCombinationModeSafe(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
Either finds COMBINATION_MODE_PROPERTY or returns a default
value.
- extractCoreMaps(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Returns list of coremaps that matches the specified rules.
- extractCoreMapsMergedWithTokens(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Returns list of merged tokens and original tokens.
- extractDatum(Mention, Mention, Document, int, Dictionaries, Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.sieve.RFSieve
-
- extractDatumSequence(int[][][], int, int, List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Creates a new CRFDatum from the preprocessed allData format, given the
document number, position number, and a List of Object labels.
- extractDay(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- EXTRACTED_FEATURES_NAME - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- extractedEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- extractedFeaturesFile - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- extractedHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- ExtractedPhrase - Class in edu.stanford.nlp.patterns.dep
-
- ExtractedPhrase(int, int, SemgrexPattern, String) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- ExtractedPhrase(int, int, SemgrexPattern, String, Counter<String>) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- ExtractedPhrase(int, int, SemgrexPattern, String, double, String, Integer) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- ExtractedPhrase(int, int, SemgrexPattern, String, double, String, Integer, Counter<String>) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- ExtractedPhrase(int, int, String) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- extractEntities - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- extractEntities(SemanticGraph) - Static method in class edu.stanford.nlp.scenegraph.EntityExtractor
-
- extractEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
extracts the entity starting at the given position
and adds it to the entity list.
- extractEntity(int[], int, String) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
extracts the entity starting at the given position
and adds it to the entity list.
- extractEnumerations(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- extractEnumerations(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
-
- extractEvents - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- extractExpressions(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- extractFeatures(Mention, Set<Mention>, Set<String>, Dictionaries, Properties) - Static method in class edu.stanford.nlp.coref.md.MentionDetectionClassifier
-
- extractFeatures(BoWExample.FEATURE_SET...) - Method in class edu.stanford.nlp.scenegraph.BoWExample
-
- extractFromTree(Tree, String, HeadFinder) - Static method in class edu.stanford.nlp.trees.CollinsDependency
-
- extractFunc - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- extractGoldClusters(Document) - Static method in class edu.stanford.nlp.coref.data.DocumentPreprocessor
-
Extract gold coref cluster information.
- extractGoldCorefClusters() - Method in class edu.stanford.nlp.dcoref.Document
-
Extract gold coref cluster information.
- extractGoldLinks() - Method in class edu.stanford.nlp.coref.data.Document
-
Extract gold coref link information
- extractGoldLinks() - Method in class edu.stanford.nlp.dcoref.Document
-
Extract gold coref link information
- extractGoldMentions(CoNLLDocumentReader.CoNLLDocument) - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
-
- extractGoldMentions(Annotation) - Method in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
-
- extractGoldMentions(CoNLL2011DocumentReader.Document) - Method in class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
-
- ExtractionDataSet - Class in edu.stanford.nlp.ie.machinereading.structure
-
- ExtractionDataSet() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
-
- ExtractionDataSet(ExtractionDataSet) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
-
Copy c'tor that performs deep copy of the sentences in the original dataset
- ExtractionObject - Class in edu.stanford.nlp.ie.machinereading.structure
-
Represents any object that can be extracted: entity, relation, event.
- ExtractionObject(String, CoreMap, Span, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- ExtractionSentence - Class in edu.stanford.nlp.ie.machinereading.structure
-
A RelationsSentence contains all the relations for a given sentence
- ExtractionSentence(String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- ExtractionSentence(ExtractionSentence) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- extractLabels(Map<Pair<Integer, Integer>, String>, List<HasWord>, String) - Static method in class edu.stanford.nlp.sentiment.BuildBinarizedDataset
-
- extractMin() - Method in class edu.stanford.nlp.util.ArrayHeap
-
Finds the object with the minimum key, removes it from the heap,
and returns it.
- extractMin() - Method in interface edu.stanford.nlp.util.Heap
-
Returns the minimum object, then removes that object from the heap.
- extractMonth(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- extractNamedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.HybridCorefMentionFinder
-
- extractNamedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.RuleBasedCorefMentionFinder
-
- extractNamedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
-
- extractNamedEntityModifiers(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, Set<String>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- extractNER(List<CoreLabel>, Span) - Static method in class edu.stanford.nlp.naturalli.Util
-
Returns a coherent NER span from a list of tokens.
- extractNgram(List<T>, int, int) - Static method in class edu.stanford.nlp.ling.SentenceUtils
-
Returns the substring of the sentence from start (inclusive)
to end (exclusive).
- extractNormalizedFromTree(Tree, String, HeadFinder) - Static method in class edu.stanford.nlp.trees.CollinsDependency
-
- extractNPorPRP(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Method in class edu.stanford.nlp.coref.md.RuleBasedCorefMentionFinder
-
- extractNPorPRP(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
-
- Extractor - Interface in edu.stanford.nlp.ie.machinereading
-
- Extractor<T> - Interface in edu.stanford.nlp.parser.lexparser
-
- extractor - Variable in class edu.stanford.nlp.pipeline.KBPAnnotator
-
The extractor implementation.
- Extractor - Class in edu.stanford.nlp.tagger.maxent
-
This class serves as the base class for classes which extract relevant
information from a history to give it to the features.
- Extractor() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
-
- Extractor(int, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
-
This constructor creates an extractor which extracts either the tag or
the word from position position in the history.
- ExtractorDistsim - Class in edu.stanford.nlp.tagger.maxent
-
Extractor for adding distsim information.
- ExtractorDistsimConjunction - Class in edu.stanford.nlp.tagger.maxent
-
Extractor for adding a conjunction of distsim information.
- ExtractorFrames - Class in edu.stanford.nlp.tagger.maxent
-
This class contains the basic feature extractors used for all words and
tag sequences (and interaction terms) for the MaxentTagger, but not the
feature extractors explicitly targeting generalization for rare or unknown
words.
- ExtractorFramesRare - Class in edu.stanford.nlp.tagger.maxent
-
This class contains feature extractors for the MaxentTagger that are only
applied to rare (low frequency/unknown) words.
- ExtractorMerger - Class in edu.stanford.nlp.ie.machinereading
-
Simple extractor which combines several other Extractors.
- ExtractorMerger(Extractor[]) - Constructor for class edu.stanford.nlp.ie.machinereading.ExtractorMerger
-
- extractors - Variable in class edu.stanford.nlp.ie.KBPEnsembleExtractor
-
The extractors to run, in the order of priority they should be run in.
- Extractors - Class in edu.stanford.nlp.tagger.maxent
-
Maintains a set of feature extractors for a maxent POS tagger and applies them.
- Extractors(Extractor[]) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
-
Set the extractors from an array.
- ExtractorVerbalVBNZero - Class in edu.stanford.nlp.tagger.maxent
-
Look for verbs selecting a VBN verb.
- ExtractorVerbalVBNZero(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
-
- extractParse(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- extractPaths(String, int, int, boolean) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactionTester
-
- ExtractPhraseFromPattern - Class in edu.stanford.nlp.patterns.dep
-
- ExtractPhraseFromPattern() - Constructor for class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
-
- ExtractPhraseFromPattern(boolean, int) - Constructor for class edu.stanford.nlp.patterns.dep.ExtractPhraseFromPattern
-
- extractPredictedMentions(Annotation, int, Dictionaries) - Method in interface edu.stanford.nlp.dcoref.CorefMentionFinder
-
Get all the predicted mentions for a document.
- extractPredictedMentions(Annotation, int, Dictionaries) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
-
Main method of mention detection.
- extractPrefixedProperties(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Build a Properties
object containing key-value pairs from
the given data where the keys are prefixed with the given
prefix
.
- extractPrefixedProperties(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Build a Properties
object containing key-value pairs from
the given data where the keys are prefixed with the given
prefix
.
- extractPremarkedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- extractPremarkedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
-
- ExtractQuotesClassifier - Class in edu.stanford.nlp.quoteattribution
-
Created by michaelf on 3/31/16.
- ExtractQuotesClassifier(GeneralDataset<String, String>) - Constructor for class edu.stanford.nlp.quoteattribution.ExtractQuotesClassifier
-
- ExtractQuotesClassifier(String) - Constructor for class edu.stanford.nlp.quoteattribution.ExtractQuotesClassifier
-
- ExtractQuotesUtil - Class in edu.stanford.nlp.quoteattribution
-
Created by michaelf on 5/30/16.
- ExtractQuotesUtil() - Constructor for class edu.stanford.nlp.quoteattribution.ExtractQuotesUtil
-
- extractRelations - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
-
- extractRelationSubflags(int, int) - Static method in class edu.stanford.nlp.util.Interval
-
- extractRule - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Actual rule performing the extraction (converting annotation to MatchedExpression)
- extractSelectedProperties(Properties, Set<String>) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Build a Properties
object containing key-value pairs from
the given properties whose keys are in a list to keep.
- extractSubList(JsonArray, List<T>) - Method in class edu.stanford.nlp.pipeline.JSONAnnotationReader
-
- extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
-
Extract time expressions from a sentence in a document.
- extractTimeExpressionCoreMaps(CoreMap, String) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
-
Extract time expressions in a document (provided as a CoreMap Annotation).
- extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressionCoreMaps(CoreMap, String) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressionCoreMaps(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressions(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractTimeExpressions(CoreMap, SUTime.Time, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
-
- extractWeekday(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
This is a backup method if everything else fails.
- extractWithTokens - Variable in class edu.stanford.nlp.pipeline.TokensRegexAnnotator.Options
-
- extractYear(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
- extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
Returns a Filter which checks dependencies for usefulness as
extra tree-based dependencies.
- extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns a Filter which checks dependencies for usefulness as
extra tree-based dependencies.
- extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Returns a Filter which checks dependencies for usefulness as
extra tree-based dependencies.
- extremedebug - Static variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- gain - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- gain - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- GainCompute(Feature, double) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Computes the gain from a feature.
- gainSchedule(int, double) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- gainSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- Gale2007ChineseSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.wordseg
-
A Chinese segmenter Feature Factory for the GALE project.
- Gale2007ChineseSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
-
- GaleP4LexMapper - Class in edu.stanford.nlp.international.arabic.pipeline
-
Applies a default set of lexical transformations that have been empirically validated
in various Arabic tasks.
- GaleP4LexMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.GaleP4LexMapper
-
- GamePlayerBenchmark - Class in edu.stanford.nlp.loglinear.benchmarks
-
Created on 9/11/15.
- GamePlayerBenchmark() - Constructor for class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark
-
- GamePlayerBenchmark.SampleState - Class in edu.stanford.nlp.loglinear.benchmarks
-
- gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
-
Approximation to gamma function.
- Gamma - Class in edu.stanford.nlp.stats
-
Represents a Gamma distribution.
- Gamma(double) - Constructor for class edu.stanford.nlp.stats.Gamma
-
- gapDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gapEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
-
- gappingTransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
-
- gatherQuotes(CoreMap) - Static method in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
Helper method to recursively gather all embedded quotes.
- GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
-
- GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
-
- gazetteerLocation - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
-
- gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- geDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- gen - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
-
- gen - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- gen - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- gender - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
- gender - Variable in class edu.stanford.nlp.coref.data.Mention
-
- gender - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
- gender - Variable in class edu.stanford.nlp.dcoref.Mention
-
- gender(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
Annotate for gender of tokens
- gender(Properties, String) - Method in class edu.stanford.nlp.pipeline.ServerAnnotatorImplementations
-
Annotate for gender of tokens
- gender - Variable in class edu.stanford.nlp.quoteattribution.Person
-
- GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- GENDER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- GENDER_NUMBER_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- GENDER_NUMBER_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- GenderAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.GenderAnnotation
-
- GenderAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenderAnnotation
-
- GenderAnnotator - Class in edu.stanford.nlp.pipeline
-
This class adds gender information (MALE / FEMALE) to entity mentions as GenderAnnotations.
- GenderAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.GenderAnnotator
-
- genderNumber - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- genderNumber - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- genders - Variable in class edu.stanford.nlp.coref.data.CorefCluster
-
- genders - Variable in class edu.stanford.nlp.dcoref.CorefCluster
-
- gendersAgree(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
- gendersAgree(Mention, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
-
- gendersAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
- gendersAgree(Mention, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
-
- GeneralDataset<L,F> - Class in edu.stanford.nlp.classify
-
- GeneralDataset() - Constructor for class edu.stanford.nlp.classify.GeneralDataset
-
- GeneralizedCounter<K> - Class in edu.stanford.nlp.stats
-
A class for keeping double counts of List
s of a
prespecified length.
- GeneralizedCounter(int) - Constructor for class edu.stanford.nlp.stats.GeneralizedCounter
-
Constructs a new GeneralizedCounter of a specified depth
- generalizedDependencyPath(List<SemanticGraphEdge>, IndexedWord) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- GeneralizedExpectationObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
-
Implementation of Generalized Expectation Objective function for
an I.I.D.
- GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>) - Constructor for class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
-
- generalizeRelation(GrammaticalRelation) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- GenerateAlignmentData - Class in edu.stanford.nlp.scenegraph
-
Generates a bitext of sentences and corresponding
relations and attributes.
- GenerateAlignmentData() - Constructor for class edu.stanford.nlp.scenegraph.GenerateAlignmentData
-
- generateCCProcessedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCCProcessedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCCProcessedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateCollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generateDict(List<String>, int) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
Build a dictionary of words collected from a corpus.
- generateDict(List<String>) - Static method in class edu.stanford.nlp.parser.nndep.Util
-
- generateEnhancedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced dependencies SemanticGraph.
- generateEnhancedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced dependencies SemanticGraph.
- generateEnhancedPlusPlusDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced++ dependencies SemanticGraph.
- generateEnhancedPlusPlusDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an enhanced++ dependencies SemanticGraph.
- generateOriginalDependencies - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- generateOriginalDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- generateOriginalDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Whether to generate original Stanford Dependencies or the newer
Universal Dependencies.
- generateOriginalDependencies - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
For languages where a Universal Dependency converter
exists this variable determines whether the original
or the Universal converter will be used.
- generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- generateOriginalDependencies() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
- generateOriginalDependencies() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Used for languages where an original Stanford Dependency
converter and a Universal Dependency converter exists.
- generateParseException() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Generate ParseException.
- generateSentenceModel(ConcatVectorNamespace, CoNLLBenchmark.CoNLLSentence, List<String>) - Method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark
-
- GenerateTrees - Class in edu.stanford.nlp.trees
-
Generates trees based on simple grammars.
- GenerateTrees() - Constructor for class edu.stanford.nlp.trees.GenerateTrees
-
- generateUncollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an Uncollapsed (basic) SemanticGraph.
- generateUncollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
Produces an Uncollapsed (basic) SemanticGraph.
- generateUncollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
-
- generic - Variable in class edu.stanford.nlp.coref.data.Mention
-
- generic - Variable in class edu.stanford.nlp.dcoref.Mention
-
- GENERIC_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- GENERIC_TIME_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
- GenericAnnotationSerializer - Class in edu.stanford.nlp.pipeline
-
Serializes Annotation objects using the default Java serializer
- GenericAnnotationSerializer(boolean) - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer
-
- GenericAnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer
-
- GenericAnnotationSerializer.AppendingObjectOutputStream - Class in edu.stanford.nlp.pipeline
-
Turns out, an ObjectOutputStream cannot append to a file.
- GenericDataSetReader - Class in edu.stanford.nlp.ie.machinereading
-
- GenericDataSetReader() - Constructor for class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
-
- GenericDataSetReader(StanfordCoreNLP, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
-
- genericKeys - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
- Generics - Class in edu.stanford.nlp.util
-
A collection of utilities to make dealing with Java generics less
painful and verbose.
- GenericTimeExpressionPatterns - Class in edu.stanford.nlp.time
-
Provides generic mechanism to convert natural language into temporal representation
by reading patterns/rules specifying mapping between text and temporal objects
from file.
- GenericTimeExpressionPatterns(Options) - Constructor for class edu.stanford.nlp.time.GenericTimeExpressionPatterns
-
- GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
-
- GenericTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
-
- GenericTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.GenericTreebankParserParams
-
- genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
-
- GenericWebServiceAnnotator - Class in edu.stanford.nlp.pipeline
-
A simple web service annotator that can be defined through properties:
annotatorEndpoint: a URL endpoint for annotator the service
annotatorRequires: Requirements for the annotator
annotatorProvides: Annotations provided by the annotator
annotatorStartCommand: command line and arguments to start the service.
- GenericWebServiceAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
-
- genre - Variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- genStop - Variable in class edu.stanford.nlp.parser.lexparser.Options
-
- genTrainExamples(List<CoreMap>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- genVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
-
- GERMAN_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
- German_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
German = 5;
- germanAbbreviations - Variable in class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor
-
- GermanDocument - Class in edu.stanford.nlp.simple
-
A sentence running with the German models.
- GermanDocument(String) - Constructor for class edu.stanford.nlp.simple.GermanDocument
-
Create a new document from the passed in text.
- GermanDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.GermanDocument
-
Convert a CoreNLP Annotation object to a Document.
- GermanDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.GermanDocument
-
Create a Document object from a read Protocol Buffer.
- GermanDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.GermanDocument
-
Create a new German document from the passed in text and the given properties.
- GermanSentence - Class in edu.stanford.nlp.simple
-
- GermanSentence(String) - Constructor for class edu.stanford.nlp.simple.GermanSentence
-
- GermanSentence(List<String>) - Constructor for class edu.stanford.nlp.simple.GermanSentence
-
- GermanSentence(CoreNLPProtos.Sentence) - Constructor for class edu.stanford.nlp.simple.GermanSentence
-
- GermanTokenizerPostProcessor - Class in edu.stanford.nlp.international.german.process
-
German tokenization is handled by PTBLexer.
- GermanTokenizerPostProcessor() - Constructor for class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor
-
- GermanTreebankTokenReport - Class in edu.stanford.nlp.international.german.scripts
-
- GermanTreebankTokenReport() - Constructor for class edu.stanford.nlp.international.german.scripts.GermanTreebankTokenReport
-
- GermanTreebankUDUpdater - Class in edu.stanford.nlp.international.german.scripts
-
- GermanTreebankUDUpdater() - Constructor for class edu.stanford.nlp.international.german.scripts.GermanTreebankUDUpdater
-
- GermanUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
-
An unknown word model for German; relies on BaseUnknownWordModel plus number matching.
- GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
-
- GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
-
This constructor creates an UWM with empty data structures.
- GermanUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
-
- GermanUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
-
- get(String) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
-
- get(String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
-
Fetches the index of this string If mCreate is true, the entry is created
if it does not exist.
- get(int) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
-
Reverse mapping from integer key to string value
- get(Set) - Method in class edu.stanford.nlp.ie.pascal.Prior
-
Map<String, boolean>
- get(double, String) - Method in class edu.stanford.nlp.ie.qe.QuantifiableEntityExtractor
-
- get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
-
- get(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
-
- get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- get(Iterable<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- get(K[]) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- get(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
Returns the ith element
- get(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
-
- get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
-
- get() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Value
-
The Java object representing the value of the expression.
- get(int) - Method in class edu.stanford.nlp.maxent.Experiments
-
- get(int) - Method in class edu.stanford.nlp.maxent.Features
-
- get(String) - Method in class edu.stanford.nlp.neural.Embedding
-
- get(String) - Method in class edu.stanford.nlp.parser.shiftreduce.WeightMap
-
- get(String) - Method in class edu.stanford.nlp.pipeline.AnnotatorPool
-
Retrieve an Annotator from the pool.
- get(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
-
- get(int) - Method in class edu.stanford.nlp.stats.DataSeries.ArrayDataSeries
-
- get(int) - Method in class edu.stanford.nlp.stats.DataSeries.AverageDataSeries
-
- get(int) - Method in class edu.stanford.nlp.stats.DataSeries.FunctionDataSeries
-
- get(int) - Method in interface edu.stanford.nlp.stats.DataSeries
-
- get(int) - Method in class edu.stanford.nlp.stats.DataSeries.ListDataSeries
-
- get(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Get a tree by index from the Treebank.
- get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
-
Returns the value associated with the given key or null if
none is provided.
- get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
-
- get(Object) - Method in class edu.stanford.nlp.util.CacheMap
-
- get(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- get() - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Gets the current value.
- get(int) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
- get(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Retrieves the number of entries with this guess and gold.
- get(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
-
- get(int) - Method in class edu.stanford.nlp.util.DeltaIndex
-
- get(Object) - Method in class edu.stanford.nlp.util.DeltaMap
-
This may cost twice what it would in the original Map.
- get(K1, K2, K3, K4, K5) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
-
- get(K1, K2, K3, K4) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
-
- get(K1, K2, K3) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
-
- get(K1, K2) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
-
- get(K1) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
-
- get(K1, K2, K3, K4) - Method in class edu.stanford.nlp.util.FourDimensionalMap
-
- get(K1, K2, K3) - Method in class edu.stanford.nlp.util.FourDimensionalMap
-
- get(K1, K2) - Method in class edu.stanford.nlp.util.FourDimensionalMap
-
- get(K1) - Method in class edu.stanford.nlp.util.FourDimensionalMap
-
- get(int) - Method in class edu.stanford.nlp.util.HashIndex
-
Gets the object whose index is the integer argument.
- get(int) - Method in interface edu.stanford.nlp.util.Index
-
Gets the object whose index is the integer argument.
- get() - Method in class edu.stanford.nlp.util.IntArray
-
- get(int) - Method in class edu.stanford.nlp.util.IntTuple
-
- get() - Method in class edu.stanford.nlp.util.Lazy
-
Get the value of this
Lazy
, computing it if necessary.
- get(U, int) - Method in class edu.stanford.nlp.util.MapList
-
- get(int) - Method in class edu.stanford.nlp.util.PaddedList
-
- get(Properties, String, E, Type) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Get the value of a property and automatically cast it to a specific type.
- get(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalCollectionValuedMap
-
- get(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
-
- get(K1, K2) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
-
- get(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
-
- get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- get(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
-
Returns the value associated with the given key or null if
none is provided.
- get1GramRank(String) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
-
Return rank of 1 gram in google ngeams if it is less than 20k.
- GET_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- GET_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- getAccCoverage() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- getAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getAccuracyDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Returns a String summarizing overall accuracy that will print nicely.
- getAccuracyInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Return overall per token accuracy
- getAcl(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- getAcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "acl" grammatical relation.
- getAcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getAction() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getActivePair() - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- getActiveTreebanks() - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
-
Returns all treebanks corresponding to the files stored in the panel that
are selected
- getAdaptationPrior(double[], LogPrior) - Static method in class edu.stanford.nlp.classify.LogPrior
-
- getAdvcl(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- getAdvcl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "advcl" grammatical relation.
- getAdvcls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getAffixFeatures() - Method in class edu.stanford.nlp.ie.ChineseMorphFeatureSets
-
- getAfter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The whitespace/xml after the token
- getAfter() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The whitespace/xml after the token
- getAfter() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The whitespace/xml after the token
- getAfterBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The whitespace/xml after the token
- getAfterBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The whitespace/xml after the token
- getAfterBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The whitespace/xml after the token
- getAggregator(Map<Class, CoreMapAttributeAggregator>) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getAggregator(Map<Class, CoreMapAttributeAggregator>, Class) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getAggregator(String) - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- getAlignments() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Get all values corresponding to the indices (if they exist in the map).
- getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.Maps
-
get all values corresponding to the indices (if they exist in the map)
- getAllAnnotations() - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- getAllAnnotations(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- getAllEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getAllEdges() - Method in interface edu.stanford.nlp.graph.Graph
-
- getAllEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getAllEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getAllEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getAllHighestScoringTreesTest(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
-
- getAllHolidays(Holidays, Set<Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidays(Configuration, Set<Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidays(Configuration) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysCVMap(Set<Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysCVMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysMap(Set<Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllHolidaysMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
-
- getAllNodesByPartOfSpeechPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getAllNodesByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns all nodes of type
IndexedWord
in this
SemanticGraph
having the given word or
regex, or returns empty list if no such found.
- getAllOptions() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getAllOptions() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- getAllPatterns(Map<String, DataInstance>, Properties, ConstantsAndVariables.PatternForEachTokenWay) - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns
-
creates all patterns and saves them in the correct PatternsForEachToken* class appropriately
- getAllRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getAllRelations(RelationMentionFactory, CoreMap, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
Get list of all relations and non-relations between EntityMentions in this sentence
Use with care.
- getAllRelations(RelationMentionFactory) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
Get list of all relations and non-relations between ArgForRelations in this sentence
Use with care.
- getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- getAllUnrelatedRelations(RelationMentionFactory, CoreMap, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- getAllUnrelatedRelations(RelationMentionFactory) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- getAllVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getAllVertices() - Method in interface edu.stanford.nlp.graph.Graph
-
- getAllWeights() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefModel
-
- getAlternateForms() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- getAlternativeDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- getAlternativeDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- getAlternativeDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- getAlternativeDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- getAlternativeDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- getAlternativeDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- getAlternativeDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
- getAltTag() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
An alternate tag form than the one produced by getTag().
- getAltValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional string altValue = 2;
- getAltValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
optional string altValue = 2;
- getAltValue() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder
-
optional string altValue = 2;
- getAltValueBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional string altValue = 2;
- getAltValueBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
optional string altValue = 2;
- getAltValueBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder
-
optional string altValue = 2;
- getAmbClass(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getAmount() - Method in class edu.stanford.nlp.ie.qe.SimpleQuantifiableEntity
-
- getAnaphorEmbedding(SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
-
- getAnaphoricityExamples(List<DocumentExamples>) - Static method in class edu.stanford.nlp.coref.statistical.PairwiseModelTrainer
-
- getAnaphoricityFeatures(Mention, Document, Map<Integer, List<Mention>>) - Method in class edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor
-
- getAnaphoricityModel() - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
-
- getAnaphoricityScore(SimpleMatrix, SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
-
- getAnaphorMatrix() - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
-
- getAnchor() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
- getAnchor() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- getAndAdd(double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Atomically adds the given value to the current value.
- getAndSet(double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Atomically sets to the given value and returns the old value.
- getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string animacy = 5;
- getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string animacy = 5;
- getAnimacy() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string animacy = 5;
- getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string animacy = 5;
- getAnimacy() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string animacy = 5;
- getAnimacy() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string animacy = 5;
- getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string animacy = 5;
- getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string animacy = 5;
- getAnimacyBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string animacy = 5;
- getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string animacy = 5;
- getAnimacyBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string animacy = 5;
- getAnimacyBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string animacy = 5;
- getAnnotatedBinaryTreebankFromTreebank(Treebank) - Method in class edu.stanford.nlp.international.arabic.parsesegment.JointParsingModel
-
- getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
- getAnnotatedChunk(List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information.
- getAnnotatedChunk(List<CoreLabel>, int, int, int, Class, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information.
- getAnnotatedChunk(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
- getAnnotatedChunk(CoreMap, int, int, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
Find and annotate chunks.
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
Find and annotate chunks.
- getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>, boolean, Class, Class, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create a list of new chunk Annotation with basic chunk information.
- getAnnotatedChunkUsingCharOffsets(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Returns a chunk annotation based on char offsets.
- getAnnotatedFile(String, String, Properties) - Static method in class edu.stanford.nlp.quoteattribution.XMLToAnnotation
-
- getAnnotatedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- getAnnotatedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- getAnnotatedParseTree() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- getAnnotatedParseTreeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- getAnnotatedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- getAnnotatedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- getAnnotatedParseTreeOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
- getAnnotation() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
-
- getAnnotation() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
-
- getAnnotation() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getAnnotationPatterns() - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
-
- getAnnotations(String, int) - Method in interface edu.stanford.nlp.pipeline.AnnotationSource
-
Returns a iterable of annotations given input string (i.e.
- getAnnotations(String) - Method in interface edu.stanford.nlp.pipeline.AnnotationSource
-
Returns a iterable of annotations given input string (i.e.
- getAnnotations(StanfordCoreNLP, SentimentPipeline.Input, String, boolean) - Static method in class edu.stanford.nlp.sentiment.SentimentPipeline
-
Reads an annotation from the given filename using the requested input.
- getAnnotationString(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Build a string of annotations for the given tree.
- getAnnotatorImplementations() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Get the implementation of each relevant annotator in the pipeline.
- getAnswer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
A temporary annotation which is occasionally left in
- getAnswer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
A temporary annotation which is occasionally left in
- getAnswer() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
A temporary annotation which is occasionally left in
- getAnswerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
A temporary annotation which is occasionally left in
- getAnswerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
A temporary annotation which is occasionally left in
- getAnswerBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
A temporary annotation which is occasionally left in
- getAnswerClass() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getAnswers(List<IN>, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- getAntecedentEmbedding(SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
-
- getAntecedentMatrix() - Method in class edu.stanford.nlp.coref.neural.NeuralCorefModel
-
- getAntecedentType(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getAntecedentTypeStr(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 appositions = 54;
- getAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 appositions = 54;
- getAppositions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 appositions = 54;
- getAppositionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 appositions = 54;
- getAppositionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 appositions = 54;
- getAppositionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 appositions = 54;
- getAppositionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 appositions = 54;
- getAppositionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 appositions = 54;
- getAppositionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 appositions = 54;
- getArabicIBMNormalizerMap() - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicUtils
-
- getArabicSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Arabic character info
- getArabicSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Arabic character info
- getArabicSeg() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Arabic character info
- getArabicSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Arabic character info
- getArabicSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Arabic character info
- getArabicSegBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Arabic character info
- getArc(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
Slow implementation.
- getArcBySourceAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
Can only be one because automaton is deterministic.
- getArch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getArcs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- getArcsByInput(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
Returns a Set of type TransducerGraph.Arc.
- getArcsBySource(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
Returns a Set of type TransducerGraph.Arc.
- getArcsByTarget(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
Returns a Set of type TransducerGraph.Arc.
- getArcsByTargetAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
Returns a Set of type TransducerGraph.Arc.
- getArg(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
- getArg(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
- getArg(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
- getArg(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArg(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArg(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgName(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- getArgName(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated string argName = 6;
- getArgName(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated string argName = 6;
- getArgNameBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- getArgNameBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated string argName = 6;
- getArgNameBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated string argName = 6;
- getArgNameCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- getArgNameCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated string argName = 6;
- getArgNameCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated string argName = 6;
- getArgNameList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- getArgNameList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated string argName = 6;
- getArgNameList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated string argName = 6;
- getArgNames() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
- getArgOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- getArgs() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
- getArgs() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
- getArgs() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
- getArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- getAssignmentValue(int[]) - Method in class edu.stanford.nlp.loglinear.inference.TableFactor
-
Just a pass through to the NDArray version, plus a Math.exp to ensure that to the outside world the TableFactor
doesn't look like it's in log-space
- getAssignmentValue(int[]) - Method in class edu.stanford.nlp.loglinear.model.NDArray
-
Retrieve a single value for an assignment.
- getAssignmentValue(int[]) - Method in class edu.stanford.nlp.loglinear.model.NDArrayDoubles
-
Retrieve a single value for an assignment.
- getAssumedTruth() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
optional bool assumedTruth = 3;
- getAssumedTruth() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
-
optional bool assumedTruth = 3;
- getAssumedTruth() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragmentOrBuilder
-
optional bool assumedTruth = 3;
- getAttr(String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
-
- getAttribute(Element, String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getAttribute(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getAttributes() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- getAttributes() - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
-
- getAttributeValue(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
-
Fetches the value of a given attribute
- getAttributeValue(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getAttributionDependencyGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- getAttributionDependencyGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- getAttributionDependencyGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- getAttributionDependencyGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- getAttributionDependencyGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- getAttributionDependencyGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- getAttributionDependencyGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
- getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string author = 11;
- getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string author = 11;
- getAuthor() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string author = 11;
- getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional string author = 3;
- getAuthor() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
optional string author = 3;
- getAuthor() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
optional string author = 3;
- getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string author = 11;
- getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string author = 11;
- getAuthorBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string author = 11;
- getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional string author = 3;
- getAuthorBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
optional string author = 3;
- getAuthorBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
optional string author = 3;
- getAuthorCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional uint32 authorCharBegin = 7;
- getAuthorCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
optional uint32 authorCharBegin = 7;
- getAuthorCharBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
optional uint32 authorCharBegin = 7;
- getAuthorCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional uint32 authorCharEnd = 8;
- getAuthorCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
optional uint32 authorCharEnd = 8;
- getAuthorCharEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
optional uint32 authorCharEnd = 8;
- getAuxReader() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
-
- getb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
- getBase() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getBaseName(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Strip directory from filename.
- getBaseName(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Strip directory and suffix from filename.
- getBaseName(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
-
Strip directory and suffix from the given name.
- getBaseParser() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
-
- getBaseTag(int, TreebankLanguagePack) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
- getBasicCategoryFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a Function
object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory() method.
- getBasicCategoryFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a Function
object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory method.
- getBasicDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- getBasicDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- getBasicDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- getBasicDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- getBasicDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- getBasicDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- getBasicDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
- getBasicSemanticGraph() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRegion
-
- getBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
getBatch is used to generate the next sequence of indices to be passed to the actual function.
- getBeamSize() - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getBefore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The whitespace/xml before the token
- getBefore() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The whitespace/xml before the token
- getBefore() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The whitespace/xml before the token
- getBeforeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The whitespace/xml before the token
- getBeforeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The whitespace/xml before the token
- getBeforeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The whitespace/xml before the token
- getBegin() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
-
- getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 begin = 2;
- getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional uint32 begin = 2;
- getBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional uint32 begin = 2;
- getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
required uint32 begin = 1;
- getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
-
required uint32 begin = 1;
- getBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpanOrBuilder
-
required uint32 begin = 1;
- getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
optional int32 begin = 2;
- getBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
-
optional int32 begin = 2;
- getBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocationOrBuilder
-
optional int32 begin = 2;
- getBegin() - Method in class edu.stanford.nlp.util.Interval
-
Returns the start point.
- getBeginChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The character offset begin, in the document
- getBeginChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The character offset begin, in the document
- getBeginChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The character offset begin, in the document
- getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional uint32 beginIndex = 6;
- getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional uint32 beginIndex = 6;
- getBeginIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional uint32 beginIndex = 6;
- getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The begin index of, e.g., a span
- getBeginIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The begin index of, e.g., a span
- getBeginIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The begin index of, e.g., a span
- getBeginPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional uint32 beginPoint = 6;
- getBeginPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
optional uint32 beginPoint = 6;
- getBeginPoint() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder
-
optional uint32 beginPoint = 6;
- getBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 belongToLists = 58;
- getBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 belongToLists = 58;
- getBelongToLists(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 belongToLists = 58;
- getBelongToListsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 belongToLists = 58;
- getBelongToListsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 belongToLists = 58;
- getBelongToListsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 belongToLists = 58;
- getBelongToListsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 belongToLists = 58;
- getBelongToListsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 belongToLists = 58;
- getBelongToListsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 belongToLists = 58;
- getBestBinarizedParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getBestDependencyParse(boolean) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getBestDependencyParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getBestFactoredParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getBestFactoredParse() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getBestFactoredParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getBestMatched(List<T>, ToDoubleFunction<MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getBestParse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getBestParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
Return the best parse of the sentence most recently parsed.
- getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
Return the best dependency parse for a sentence.
- getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
- getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
-
Return the best parse of the sentence most recently parsed.
- getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
Return the best parse of the sentence most recently parsed.
- getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getBestParse() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getBestParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getBestParse() - Method in interface edu.stanford.nlp.parser.ViterbiParser
-
Returns a best parse of the last sentence on which parse
was
called, or null if none exists.
- getBestParses() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
- getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
- getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
- getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
- getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
-
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
- getBestPCFGParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getBestPCFGParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getBestPCFGParse() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getBestPCFGParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
TODO: can we get away with not calling this PCFG?
- getBestPCFGParses() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getBestPCFGParses() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getBestPCFGParses() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
TODO: if this is a beam, return all equal parses
- getBestScore() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getBestScore() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Gets the score (typically a log probability) of the best
parse of a sentence.
- getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
- getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
- getBestScore(String) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
- getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
-
- getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
Checks which parser (factored, PCFG, or dependency) was used and
returns the score of the best parse from this parser.
- getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getBestScore() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getBestScore() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getBestScoredParse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getBestTransitionSequence() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getBiasedDataset(ObjectBank<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getBinarizedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- getBinarizedParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- getBinarizedParseTree() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- getBinarizedParseTreeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- getBinarizedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- getBinarizedParseTreeOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- getBinarizedParseTreeOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
- getBinaryClassification(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
-
- getBinaryClassifier(L) - Method in class edu.stanford.nlp.classify.OneVsAllClassifier
-
- getBinaryMatrixNames(List<TwoDimensionalMap<String, String, SimpleMatrix>>) - Static method in class edu.stanford.nlp.parser.dvparser.AverageDVModels
-
- getBinaryTensor(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
-
- getBinaryTransform(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
-
- getBlock(Object) - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- getBlock(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- getBool(Map<String, String>, String) - Static method in class edu.stanford.nlp.util.Maps
-
Load a boolean property from a Map.
- getBool(Map<String, String>, String, boolean) - Static method in class edu.stanford.nlp.util.Maps
-
Load a boolean property from a Map.
- getBool(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a boolean property.
- getBool(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a boolean property.
- getBooleanArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- getBoundaryCharacter() - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
-
- getBuffer(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
Get the sentence index of the kth word on the buffer.
- getBufferedFileReader(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getBufferedReader(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader
-
Wraps the given Reader in a BufferedReader or returns it directly if it
is already a BufferedReader.
- getBufferedReaderFromClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getBufferSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getByteEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
-
- getByteEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getByteOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
-
- getByteOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getByteStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
-
- getByteStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getC() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
Get the C parameter (for the slack variables) for training the SVM.
- getCalendar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional uint64 calendar = 8;
- getCalendar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
optional uint64 calendar = 8;
- getCalendar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
optional uint64 calendar = 8;
- getCalibratedCliqueTree(int[][][], List<Index<CRFLabel>>, int, Index<E>, E, CliquePotentialFunction, double[][][]) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getCalibratedCliqueTree(double[], double, int[][], int[][][], List<Index<CRFLabel>>, int, Index<E>, E) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
This function assumes a LinearCliquePotentialFunction is used for wrapping the weights
- getCalibratedCliqueTree(float[][], int[][][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- getCanonicalEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional uint32 canonicalEntityMentionIndex = 11;
- getCanonicalEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional uint32 canonicalEntityMentionIndex = 11;
- getCanonicalEntityMentionIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional uint32 canonicalEntityMentionIndex = 11;
- getCanonicalMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string canonicalMention = 19;
- getCanonicalMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string canonicalMention = 19;
- getCanonicalMention() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string canonicalMention = 19;
- getCanonicalMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 canonicalMentionBegin = 20;
- getCanonicalMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional uint32 canonicalMentionBegin = 20;
- getCanonicalMentionBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional uint32 canonicalMentionBegin = 20;
- getCanonicalMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string canonicalMention = 19;
- getCanonicalMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string canonicalMention = 19;
- getCanonicalMentionBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string canonicalMention = 19;
- getCanonicalMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 canonicalMentionEnd = 21;
- getCanonicalMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional uint32 canonicalMentionEnd = 21;
- getCanonicalMentionEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional uint32 canonicalMentionEnd = 21;
- getCase() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getCategory() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's 'category' (e.g., parse tree node)
- getCategory() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's 'category' (e.g., parse tree node)
- getCategory() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's 'category' (e.g., parse tree node)
- getCategoryAndFunctionFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Returns a Function
object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction() method.
- getCategoryAndFunctionFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Returns a Function
object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction method.
- getCategoryBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's 'category' (e.g., parse tree node)
- getCategoryBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's 'category' (e.g., parse tree node)
- getCategoryBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's 'category' (e.g., parse tree node)
- getChainID() - Method in class edu.stanford.nlp.coref.data.CorefChain
-
- getChainID() - Method in class edu.stanford.nlp.dcoref.CorefChain
-
- getChainID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
required int32 chainID = 1;
- getChainID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
required int32 chainID = 1;
- getChainID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder
-
required int32 chainID = 1;
- getChanged() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
optional bool changed = 2;
- getChanged() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
optional bool changed = 2;
- getChanged() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder
-
optional bool changed = 2;
- getChapterIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
quote stuff
- getChapterIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
quote stuff
- getChapterIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
quote stuff
- getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacter(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacter(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacter(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacter(char) - Static method in class edu.stanford.nlp.util.Characters
-
- getCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterNgrams(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
Build a list of character-based ngrams from the given string.
- getCharacterOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 characterOffsetBegin = 5;
- getCharacterOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional uint32 characterOffsetBegin = 5;
- getCharacterOffsetBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional uint32 characterOffsetBegin = 5;
- getCharacterOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 characterOffsetEnd = 6;
- getCharacterOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional uint32 characterOffsetEnd = 6;
- getCharacterOffsetEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional uint32 characterOffsetEnd = 6;
- getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharacterOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- getCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
required uint32 charBegin = 1;
- getCharBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
required uint32 charBegin = 1;
- getCharBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
required uint32 charBegin = 1;
- getCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
required uint32 charEnd = 2;
- getCharEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
required uint32 charEnd = 2;
- getCharEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
required uint32 charEnd = 2;
- getCharOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getChars(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
-
What are the Characters with this primary radical?
- getChild(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChild(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChild(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChild(int) - Method in class edu.stanford.nlp.trees.Tree
-
Return the child at some daughter index.
- getChild(Object, int) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- getChildBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildByAttribute(Node, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
-
Searches for children that have the given attribute
- getChildByName(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
-
Searches (recursively) for the first child that has the given name
- getChildByNameAndAttribute(Node, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
-
Searches for children that have the given name and attribute
- getChildCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildCount(Object) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- getChildList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getChildOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- getChildren(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getChildren(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it is just the neighbors
- getChildren() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- getChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
-
- getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- getChildren() - Method in class edu.stanford.nlp.trees.tregex.DescriptionPattern
-
- getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
-
Returns a List of children for the current node.
- getChildrenByName(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
-
Searches for all immediate children with the given name
- getChildrenWithPrepC(SemanticGraph, IndexedWord) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Since graphs can be have preps collapsed, finds all the immediate children of this node
that are linked by a collapsed preposition edge.
- getChildrenWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of all children bearing a certain grammatical relation, or
an empty set if none.
- getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Returns a list of all children bearing a grammatical relation starting with the given string, relnPrefix
- getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, Collection<String>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Returns a list of all children bearing a grammatical relation starting with the given set of relation prefixes
- getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns a set of all children bearing one of a set of grammatical
relations, or an empty set if none.
- getChildTrie(K) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- getChildTrie(Iterable<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
-
- getChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the first IndexedFeatureLabel bearing a certain grammatical
relation, or null if none.
- getChineseChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Chinese character info
- getChineseChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Chinese character info
- getChineseChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Chinese character info
- getChineseCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Chinese character info
- getChineseCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Chinese character info
- getChineseCharBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Chinese character info
- getChineseSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string chineseSeg = 55;
- getChineseSeg() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string chineseSeg = 55;
- getChineseSeg() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string chineseSeg = 55;
- getChineseSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string chineseSeg = 55;
- getChineseSegBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string chineseSeg = 55;
- getChineseSegBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string chineseSeg = 55;
- getChineseXMLChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string chineseXMLChar = 60;
- getChineseXMLChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string chineseXMLChar = 60;
- getChineseXMLChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string chineseXMLChar = 60;
- getChineseXMLCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string chineseXMLChar = 60;
- getChineseXMLCharBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string chineseXMLChar = 60;
- getChineseXMLCharBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string chineseXMLChar = 60;
- getChunk() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getChunker() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- getChunkOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- getChunkOffsetsUsingCharOffsets(List<? extends CoreMap>, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Return chunk offsets
- getClass(String, Dictionary, int, TTags) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
-
- getClassifier(String) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier
-
Return a new ColumnDataClassifier object based on a serialized object.
- getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier
-
Return a new ColumnDataClassifier object based on a serialized object.
- getClassifier() - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
-
- getClassifier() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
-
- getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
-
- getClassifier(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Loads a CRF classifier from a filepath, and returns it.
- getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Loads a CRF classifier from an InputStream, and returns it.
- getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifier(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(ObjectInputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
Static method for getting an NERClassifierCombiner from a string path.
- getClassifier(ObjectInputStream, Properties) - Static method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- getClassifier() - Method in class edu.stanford.nlp.quoteattribution.ExtractQuotesClassifier
-
- getClassifierCreator(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
-
- getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getClassifierNoExceptions(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifierNoExceptions(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
- getClassifierType(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getClasss() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
-
- getClassWeight(int) - Method in class edu.stanford.nlp.sentiment.RNNTrainOptions
-
The classWeights can be passed in as a comma separated list of
weights using the -classWeights flag.
- getClassWForNode(Tree) - Method in class edu.stanford.nlp.sentiment.SentimentModel
-
- getCliqueFeatures(PaddedList, int, Clique) - Method in class edu.stanford.nlp.ie.EmbeddingFeatureFactory
-
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
-
Extracts all the features from the input data at a certain index.
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
-
Extracts all the features from the input data at a certain index.
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
This method returns a
Collection
of the features
calculated for the word at the specified position in info (the list of
words) for the specified
Clique
.
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.sequences.MalletFeatureFactory
-
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
-
Extracts all the features from the input data at a certain index.
- getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
-
Extracts all the features from the input data at a certain index.
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
-
- getCliquePotentialFunction(double[]) - Method in interface edu.stanford.nlp.ie.crf.HasCliquePotentialFunction
-
- getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
-
- getCliques() - Method in class edu.stanford.nlp.sequences.FeatureFactory
-
- getCliques(int, int) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
-
- getCliqueTree(Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getCliqueTree(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getCliqueTrees(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Want to make arbitrary probability queries? Then this is the method for
you.
- getClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getClosedTagThreshold() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getCloseNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
bool closeNode = 2;
- getCloseNode() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
-
bool closeNode = 2;
- getCloseNode() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.NodeOrBuilder
-
bool closeNode = 2;
- getClosestIndices(IndexedWord, IndexedWord) - Static method in class edu.stanford.nlp.scenegraph.SceneGraphUtils
-
- getClosestMention(CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.ClosestMentionSieve
-
- getClusterID() - Method in class edu.stanford.nlp.coref.data.CorefCluster
-
- getClusterID() - Method in class edu.stanford.nlp.dcoref.CorefCluster
-
- getClusterMerges(ClustererDataLoader.ClustererDoc) - Method in class edu.stanford.nlp.coref.statistical.Clusterer
-
- getCmd() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
-
- getCmd() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- getCmd(String) - Static method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- getCoarseNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's coarse NER tag
- getCoarseNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's coarse NER tag
- getCoarseNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's coarse NER tag
- getCoarseNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's coarse NER tag
- getCoarseNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's coarse NER tag
- getCoarseNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's coarse NER tag
- getCoarseTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The coarse POS tag (used to store the UPOS tag)
- getCoarseTag() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The coarse POS tag (used to store the UPOS tag)
- getCoarseTag() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The coarse POS tag (used to store the UPOS tag)
- getCoarseTagBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The coarse POS tag (used to store the UPOS tag)
- getCoarseTagBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The coarse POS tag (used to store the UPOS tag)
- getCoarseTagBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The coarse POS tag (used to store the UPOS tag)
- getCodepointOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 codepointOffsetBegin = 74;
- getCodepointOffsetBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional uint32 codepointOffsetBegin = 74;
- getCodepointOffsetBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional uint32 codepointOffsetBegin = 74;
- getCodepointOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 codepointOffsetEnd = 75;
- getCodepointOffsetEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional uint32 codepointOffsetEnd = 75;
- getCodepointOffsetEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional uint32 codepointOffsetEnd = 75;
- getCollapsedCCProcessedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- getCollapsedCCProcessedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- getCollapsedCCProcessedDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- getCollapsedCCProcessedDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- getCollapsedCCProcessedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- getCollapsedCCProcessedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- getCollapsedCCProcessedDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
- getCollapsedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- getCollapsedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- getCollapsedDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- getCollapsedDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- getCollapsedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- getCollapsedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- getCollapsedDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
- getCollectionValuedMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
- getCombinedF1(double, List<List<Integer>>, List<Clusterer.Cluster>, Map<Integer, List<Integer>>, Map<Integer, Clusterer.Cluster>) - Static method in class edu.stanford.nlp.coref.statistical.EvalUtils
-
- getComments() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Return the list of comments stored with this graph.
- getCommonAncestor(SemanticGraph, IndexedWord, IndexedWord) - Static method in class edu.stanford.nlp.scenegraph.SceneGraphUtils
-
- getCommonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the least common ancestor.
- getCommonEngWords() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getCompatible(SUTime.PartialTime, SUTime.PartialTime) - Static method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getComponent(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponent(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponent(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentOrBuilder(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getComponentOrBuilderList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
Computes the distribution over values of the element at position pos in the
sequence, conditioned on the values of the elements in all other positions
of the provided sequence.
- getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
- getCondProbs(CRFCliqueTree<String>, int[][][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getConfidence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The [optional] confidence of the extraction
- getConfidence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The [optional] confidence of the extraction
- getConfidence() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The [optional] confidence of the extraction
- getConfiguration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.MyXMLManager
-
- getConj(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "conj" grammatical relation.
- getConj(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- getConj(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "conj" grammatical relation.
- getConjs() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
- getConjs() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getConllEvalString(boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getConllEvalSummary(String, String, String) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
- getConllUFeatures() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- getConllUFeatures() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- getConllUFeatures() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- getConllUFeaturesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- getConllUFeaturesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- getConllUFeaturesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- getConllUFeaturesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
- getConllUMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string conllUMisc = 35;
- getConllUMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string conllUMisc = 35;
- getConllUMisc() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string conllUMisc = 35;
- getConllUMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string conllUMisc = 35;
- getConllUMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string conllUMisc = 35;
- getConllUMiscBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string conllUMisc = 35;
- getConllUSecondaryDeps() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- getConllUSecondaryDeps() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- getConllUSecondaryDeps() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- getConllUSecondaryDepsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- getConllUSecondaryDepsOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- getConllUSecondaryDepsOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- getConllUSecondaryDepsOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
- getConllUTokenSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- getConllUTokenSpan() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- getConllUTokenSpan() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- getConllUTokenSpanBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- getConllUTokenSpanOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- getConllUTokenSpanOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- getConllUTokenSpanOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
- getConnectedComponents(Graph<V, E>) - Static method in class edu.stanford.nlp.graph.ConnectedComponents
-
- getConnectedComponents() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getConnectedComponents() - Method in interface edu.stanford.nlp.graph.Graph
-
- getConnection() - Static method in class edu.stanford.nlp.patterns.SQLConnection
-
- getConstrainedSet(String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
-
Get the allowed label set for an observation.
- getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
- getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- getContent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
-
- getContentsCase() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- getContentsCase() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
-
- getContentsCase() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.NodeOrBuilder
-
- getContentType(Properties, StanfordCoreNLP.OutputFormat) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer.CoreNLPHandler
-
Get the response data type to send to the client, based off of the output format requested from
CoreNLP.
- getContext() - Method in class edu.stanford.nlp.coref.data.Mention
-
- getContext() - Method in class edu.stanford.nlp.dcoref.Mention
-
- getContext(DataInstance, int, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.dep.DepPatternFactory
-
- getContext(PatternFactory.PatternType, DataInstance, int, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.Pattern
-
Get set of patterns around this token.
- getContext(List<CoreLabel>, int, Set<CandidatePhrase>) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePatternFactory
-
- getContextStr(String) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- getContextToken(CoreLabel) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- getContingency(U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
-
Returns the contingency table for the given class label, where all other
class labels are treated as negative.
- getConversationalNextPrediction(List<CoreMap>, int, Person.Gender) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
-
- getConversationalPreviousPrediction(List<CoreMap>, int, Person.Gender) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
-
- getConversions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConversionsOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- getConverterOptions(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
-
- getCoordination() - Method in class edu.stanford.nlp.coref.data.Mention
-
- getCoordination() - Method in class edu.stanford.nlp.dcoref.Mention
-
- getCopy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- getCopy() - Method in class edu.stanford.nlp.util.IntPair
-
- getCopy() - Method in class edu.stanford.nlp.util.IntQuadruple
-
- getCopy() - Method in class edu.stanford.nlp.util.IntTriple
-
- getCopy() - Method in class edu.stanford.nlp.util.IntTuple
-
- getCopy() - Method in class edu.stanford.nlp.util.IntUni
-
- getCopyAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
optional uint32 copyAnnotation = 3;
- getCopyAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
optional uint32 copyAnnotation = 3;
- getCopyAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.NodeOrBuilder
-
optional uint32 copyAnnotation = 3;
- getCopyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
optional uint32 copyCount = 4;
- getCopyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
optional uint32 copyCount = 4;
- getCopyCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWordOrBuilder
-
optional uint32 copyCount = 4;
- getCorefChain(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChain(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChain(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainMap() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
-
- getCorefChainMap() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
-
- getCorefChainOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefChainOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- getCorefClusterId() - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
-
- getCorefClusterId() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
-
- getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 corefClusterID = 15;
- getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional int32 corefClusterID = 15;
- getCorefClusterID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional int32 corefClusterID = 15;
- getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The [primary] cluster id for this token
- getCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The [primary] cluster id for this token
- getCorefClusterID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The [primary] cluster id for this token
- getCorefID() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- getCorefID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string corefID = 11;
- getCorefID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional string corefID = 11;
- getCorefID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional string corefID = 11;
- getCorefIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string corefID = 11;
- getCorefIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional string corefID = 11;
- getCorefIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional string corefID = 11;
- getCorefMentionFilter(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- getCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mention index info
- getCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
mention index info
- getCorefMentionIndex(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
mention index info
- getCorefMentionIndexCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mention index info
- getCorefMentionIndexCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
mention index info
- getCorefMentionIndexCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
mention index info
- getCorefMentionIndexList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mention index info
- getCorefMentionIndexList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
mention index info
- getCorefMentionIndexList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
mention index info
- getCorefMentions() - Method in class edu.stanford.nlp.coref.data.CorefCluster
-
- getCorefMentions() - Method in class edu.stanford.nlp.dcoref.CorefCluster
-
- getCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappings(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappingsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCorefMentionToEntityMentionMappingsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- getCoreLabel(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
-
- getCoreLabels() - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getCoreMapQuotes(List<Pair<Integer, Integer>>, List<CoreLabel>, List<CoreMap>, String, String, boolean) - Static method in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- getCorrect() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
Return overall number of correct answers
- getCorrect(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getCost() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- getCost(V) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
-
- getCost() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getCount(int) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
-
- getCount(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns the count for this key as a double.
- getCount(Object) - Method in interface edu.stanford.nlp.stats.Counter
-
Returns the count for this key as a double.
- getCount(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Returns the current count for the given key, which is 0 if it hasn't been
seen before.
- getCount(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- getCount(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- getCount(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
- getCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
- getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- getCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- getCount(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCount(Object) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- getCount(String) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
-
Queries the SQL tables for the count of the phrase.
- getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
- getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- getCounter() - Method in class edu.stanford.nlp.stats.Distribution
-
- getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- getCounter(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
-
- getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- getCountIn() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCountPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCountRB() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCounts(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
- getCounts(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
-
returns a double[]
array of length
depth+1
, containing the conditional counts on a
depth
-length list given each level of conditional
distribution from 0 to depth
.
- getCounts(Collection<String>) - Static method in class edu.stanford.nlp.util.GoogleNGramsSQLBacked
-
- getCountThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
-
- getCountThat(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- getCurEncoding() - Static method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- getCurrentFilename() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Returns the absolute path of the file currently being read.
- getCurrentPaths() - Method in class edu.stanford.nlp.trees.DiskTreebank
-
- getCurrentSieveForTrain(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getCurrentTime() - Static method in class edu.stanford.nlp.time.SUTime
-
- getCurWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getCustom() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
-
- getData() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- getData(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
repeated double data = 2;
- getData(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
repeated double data = 2;
- getData(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.ComponentOrBuilder
-
repeated double data = 2;
- getDataArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getDataCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
repeated double data = 2;
- getDataCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
repeated double data = 2;
- getDataCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.ComponentOrBuilder
-
repeated double data = 2;
- getDataInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getDataList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
repeated double data = 2;
- getDataList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
repeated double data = 2;
- getDataList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.ComponentOrBuilder
-
repeated double data = 2;
- getDataOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getDataset(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDataset(Collection<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDataset(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDataset(Dataset<String, String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Build a Dataset from some data.
- getDatasets() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
-
- getDate() - Method in class edu.stanford.nlp.time.Timex
-
Gets the Calendar matching the year, month and day of this Timex.
- getDateString() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Provided for backwards compatibility with DateInstance;
returns the same thing as toString()
- getDatetime() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional string datetime = 5;
- getDatetime() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
optional string datetime = 5;
- getDatetime() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
optional string datetime = 5;
- getDatetimeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
optional string datetime = 5;
- getDatetimeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
optional string datetime = 5;
- getDatetimeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SectionOrBuilder
-
optional string datetime = 5;
- getDateTimeFields() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- getDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- getDay() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- getDebug() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getDebugPrefix() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getDeepTrees() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
-
- getDefaultAggregator() - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- getDefaultAggregators() - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- getDefaultAnnotatorPool(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Construct the default annotator pool, and save it as the static annotator pool
for CoreNLP.
- getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Used to get the default supplied classifier inside the jar file.
- getDefaultClassifier(Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Used to get the default supplied classifier inside the jar file.
- getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
-
Used to obtain the default classifier which is
stored inside a jar file.
- getDefaultColor() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
-
- getDefaultInstance() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- getDefaultInstanceForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
-
- getDefaultNegTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getDefaultNestedResultsAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultNestedResultsAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultOptions() - Method in enum edu.stanford.nlp.pipeline.TokenizerAnnotator.TokenizerType
-
- getDefaultOutputPath() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
-
- getDefaultPosTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getDefaultResultAnnotationExtractor(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultResultsAnnotationExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaults() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultScore() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
Returns a default score to be used for each tag that is incompatible with
the current word (e.g., the tag CC for the word "apple").
- getDefaultStringMatchFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultStringPatternFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTagSeparator() - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getDefaultTextAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTextAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensAggregator() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensAggregator(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensAggregators() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensAggregators(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultTokensResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getDefaultTokensResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
-
- getDefaultUnit() - Method in class edu.stanford.nlp.ie.qe.Unit
-
- getDefaultUnitScale() - Method in class edu.stanford.nlp.ie.qe.Unit
-
- getDeleteTempFilesOnExitFlag() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getDemonyms(String) - Method in class edu.stanford.nlp.coref.data.Dictionaries
-
Returns a set of demonyms for a country (or city or region).
- getDemonyms(String) - Method in class edu.stanford.nlp.dcoref.Dictionaries
-
Returns a set of demonyms for a country (or city or region).
- getDenseComponent(int) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
-
This function will throw an assert if the component you're requesting isn't dense
- getDep() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional string dep = 3;
- getDep() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
optional string dep = 3;
- getDep() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder
-
optional string dep = 3;
- getDepBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional string dep = 3;
- getDepBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
optional string dep = 3;
- getDepBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder
-
optional string dep = 3;
- getDependencies(String, String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
-
Returns the String output of the dependencies.
- getDependencyBlanket(SemanticGraph, Collection<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given a SemanticGraph, and a set of nodes, finds the "blanket" of nodes that are one
edge away from the set of nodes passed in.
- getDependencyParser() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getDependencyParser() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getDependencyParser() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getDependent() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getDependentIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- getDependents(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- getDependents(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated string dependents = 52;
- getDependents(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated string dependents = 52;
- getDependentsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- getDependentsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated string dependents = 52;
- getDependentsBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated string dependents = 52;
- getDependentsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- getDependentsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated string dependents = 52;
- getDependentsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated string dependents = 52;
- getDependentsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- getDependentsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated string dependents = 52;
- getDependentsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated string dependents = 52;
- getDependingVerb() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- getDependingVerb() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- getDependingVerb() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- getDependingVerbBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- getDependingVerbOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- getDependingVerbOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- getDependingVerbOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
- getDepName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge
-
- getDerivative() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
-
- getDerivatives() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
assuming we have the lambdas in the array and we need only the
derivatives now.
- getDerivativesExpectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
- getDerivativesLossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
Using the arrays calculated when computing the loss, it should not be
too hard to get the derivatives.
- getDerivativesNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
-
assuming we have the lambdas in the array and we need only the
derivatives now.
- getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter
-
Returns a description of what extension is being used (for file choosers).
- getDescription() - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
-
Returns a string describing what this function does.
- getDescription() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
-
- getDescription(int) - Method in class edu.stanford.nlp.stats.AccuracyStats
-
- getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
-
- getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Returns a String summarizing F1 that will print nicely.
- getDescription(int) - Method in interface edu.stanford.nlp.stats.Scorer
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
- getDescriptor() - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
-
- getDescriptor() - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
-
- getDescriptor() - Static method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Sentiment
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- getDescriptor() - Static method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse
-
- getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- getDescriptorForType() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- getDescriptorForType() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- getDescriptorForType() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Sentiment
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- getDescriptorForType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- getDevDataPath(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- getDiag(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- getDictOddsScore(CandidatePhrase, String, double) - Method in class edu.stanford.nlp.patterns.PhraseScorer
-
- getDiffConstituents() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
-
- getDiffDecoratedTree() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
-
- getDimensions() - Method in class edu.stanford.nlp.loglinear.model.NDArray
-
- getDimensions() - Method in class edu.stanford.nlp.loglinear.model.NDArrayDoubles
-
- getDimensionSize(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated int32 dimensionSize = 1;
- getDimensionSize(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated int32 dimensionSize = 1;
- getDimensionSize(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated int32 dimensionSize = 1;
- getDimensionSizeCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated int32 dimensionSize = 1;
- getDimensionSizeCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated int32 dimensionSize = 1;
- getDimensionSizeCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated int32 dimensionSize = 1;
- getDimensionSizeList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated int32 dimensionSize = 1;
- getDimensionSizeList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated int32 dimensionSize = 1;
- getDimensionSizeList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated int32 dimensionSize = 1;
- getDimirMunfasala() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
-
- getDimirMutasala() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
-
- getDirPath(Properties, String, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Get the value of a property as a path to a directory.
- getDisplay() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
-
- getDisplayName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
-
- getDisplayName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.WordlistTest
-
- getDistribution(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Distribution from the given counter.
- getDistributionFromLogValues(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
-
Creates a Distribution from the given counter, ie makes an internal
copy of the counter and divides all counts by the total count.
- getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
-
Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
- getDistributionWithReservedMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
-
- getDistSimWtScore(String, String) - Method in class edu.stanford.nlp.patterns.PhraseScorer
-
- getDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- getDoc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- getDoc() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequestOrBuilder
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- getDocBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- getDocCnt() - Method in class edu.stanford.nlp.pipeline.AnnotationIterator
-
- getDocDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional string docDate = 7;
- getDocDate() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
optional string docDate = 7;
- getDocDate() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
optional string docDate = 7;
- getDocDateBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional string docDate = 7;
- getDocDateBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
optional string docDate = 7;
- getDocDateBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
optional string docDate = 7;
- getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional string docID = 4;
- getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
optional string docID = 4;
- getDocID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
optional string docID = 4;
- getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
optional int32 docID = 3;
- getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord
-
optional int32 docID = 3;
- getDocID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWordOrBuilder
-
optional int32 docID = 3;
- getDocid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string docid = 9;
- getDocid() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string docid = 9;
- getDocid() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string docid = 9;
- getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
doc id
- getDocID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
doc id
- getDocID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
doc id
- getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional string docID = 4;
- getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
optional string docID = 4;
- getDocIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
optional string docID = 4;
- getDocidBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string docid = 9;
- getDocidBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string docid = 9;
- getDocidBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string docid = 9;
- getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
doc id
- getDocIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
doc id
- getDocIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
doc id
- getDocIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
-
- getDocIterator(Reader, boolean) - Method in class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
-
- getDocOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- getDocOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- getDocOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequestOrBuilder
-
required .edu.stanford.nlp.pipeline.Document doc = 1;
- getDocument() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- getDocument() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- getDocument() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequestOrBuilder
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- getDocumentBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- getDocumentEmbedding(Document) - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
-
- getDocumentID() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
-
- getDocumentID() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
-
- getDocumentId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- getDocumentId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- getDocumentOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- getDocumentOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- getDocumentOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequestOrBuilder
-
required .edu.stanford.nlp.pipeline.Document document = 1;
- getDomainNgramScore(String) - Method in class edu.stanford.nlp.patterns.PhraseScorer
-
- getdot() - Method in class edu.stanford.nlp.math.DoubleAD
-
- getDouble(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a double property.
- getDouble(Properties, String, double) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load a double property.
- getDoubleArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Loads a comma-separated list of doubles from Properties.
- getDownsamplingRate(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getDuration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDuration(Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
-
- getDuration() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getDuration() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- getDuration() - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
-
- getDVModel() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
-
- getE() - Method in class edu.stanford.nlp.parser.nndep.Classifier
-
- getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdge(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdge(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdge(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getEdge(IndexedWord, IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Given a governor, dependent, and the relation between them, returns the
SemanticGraphEdge object of that arc if it exists, otherwise returns null.
- getEdge(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
- getEdge() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
-
- getEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveNamedEdge
-
- getEdgeNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the set of names for named edges in this pattern
- getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdgeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- getEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
-
- getEdges(Hook) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
-
- getEdgesOverSpan(int, int) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- getEdgesSpannedByVertices(Collection<IndexedWord>, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given a set of nodes from a SemanticGraph, returns the set of
edges that are spanned between these nodes.
- getEditDistanceFromEnglishWords() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEditDistanceFromEnglishWordsMatches() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEditDistanceFromOtherClasses(String, String, int) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEditDistanceFromThisClass(String, String, int) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEditDistanceScoresOtherClass(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEditDistanceScoresOtherClassThreshold(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
1 if lies in edit distance, 0 if not close to any words
- getEditDistanceScoresThisClass(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEditDistanceScoresThisClassThreshold(String, String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEditScript() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- getEltText(Element) - Static method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon
-
For a given Element, treats the first child as a text element
and returns its value.
- getEmbeddingExtractor() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefModel
-
- getEmbeddings(String, List<CoNLLBenchmark.CoNLLSentence>) - Method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLBenchmark
-
- getEmbeddingSize() - Method in class edu.stanford.nlp.neural.Embedding
-
- getEmptyIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Similar to a copy node in IndexedWord, but not exactly,
as the word can have its own attributes.
- getEmptyIndex() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
optional uint32 emptyIndex = 4;
- getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
optional uint32 emptyIndex = 4;
- getEmptyIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.NodeOrBuilder
-
optional uint32 emptyIndex = 4;
- getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 emptyIndex = 80;
- getEmptyIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional uint32 emptyIndex = 80;
- getEmptyIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional uint32 emptyIndex = 80;
- getEnableTsurgeon() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getEncoding() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- getEncoding(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
-
- getEncoding() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getEncoding() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
Return the input Charset encoding for the Treebank.
- getEncoding() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
-
- getEncoding() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
-
Return the input Charset encoding for the Treebank.
- getEncoding() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
-
Return the input Charset encoding for the Treebank.
- getEncoding() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
-
Return the input Charset encoding for the Treebank.
- getEncoding() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
-
Return the charset encoding of the Treebank.
- getEncoding() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
-
- getEnd() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
-
- getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 end = 3;
- getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional uint32 end = 3;
- getEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional uint32 end = 3;
- getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
required uint32 end = 2;
- getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
-
required uint32 end = 2;
- getEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpanOrBuilder
-
required uint32 end = 2;
- getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
optional int32 end = 3;
- getEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation
-
optional int32 end = 3;
- getEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocationOrBuilder
-
optional int32 end = 3;
- getEnd() - Method in class edu.stanford.nlp.util.Interval
-
Returns the end point.
- getEndChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The character offset end, in the document
- getEndChar() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The character offset end, in the document
- getEndChar() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The character offset end, in the document
- getEndDate() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
-
Returns this date or if it is a range,
the date the range ends.
- getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional uint32 endIndex = 7;
- getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional uint32 endIndex = 7;
- getEndIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional uint32 endIndex = 7;
- getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional uint32 endIndex = 9;
- getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional uint32 endIndex = 9;
- getEndIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional uint32 endIndex = 9;
- getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The begin index of, e.g., a span
- getEndIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The begin index of, e.g., a span
- getEndIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The begin index of, e.g., a span
- getEndIndex(int, List<CoreLabel>, String) - Static method in class edu.stanford.nlp.quoteattribution.XMLToAnnotation
-
- getEndNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- getEndPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
optional uint32 endPoint = 7;
- getEndPoint() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
optional uint32 endPoint = 7;
- getEndPoint() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TimexOrBuilder
-
optional uint32 endPoint = 7;
- getEndWordVector() - Method in class edu.stanford.nlp.neural.Embedding
-
- getEndWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
-
- getEnglishSplitCategories(String) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
-
This is hardwired to calculate the split categories from English
Penn Treebank sections 2-21 with a default cutoff of 300 (as used
in ACL03PCFG).
- getEnglishWords() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getEnhancedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- getEnhancedDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- getEnhancedDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- getEnhancedDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- getEnhancedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- getEnhancedDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- getEnhancedDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
- getEnhancedPlusPlusDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- getEnhancedPlusPlusDependencies() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- getEnhancedPlusPlusDependencies() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- getEnhancedPlusPlusDependenciesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- getEnhancedPlusPlusDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- getEnhancedPlusPlusDependenciesOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- getEnhancedPlusPlusDependenciesOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
- getEnhancedSemanticGraph() - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageRegion
-
- getEnhancedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
the quote annotator can soometimes add merged sentences
- getEnhancedSentence() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
the quote annotator can soometimes add merged sentences
- getEnhancedSentence() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
the quote annotator can soometimes add merged sentences
- getEnhancedSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
the quote annotator can soometimes add merged sentences
- getEnhancedSentenceOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
the quote annotator can soometimes add merged sentences
- getEnhancedSentenceOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
the quote annotator can soometimes add merged sentences
- getEnhancedSentenceOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
the quote annotator can soometimes add merged sentences
- getEntailedClause(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- getEntailedClause(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed clauses, by natural logic
- getEntailedClause(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed clauses, by natural logic
- getEntailedClauseBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- getEntailedClauseBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- getEntailedClauseCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- getEntailedClauseCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed clauses, by natural logic
- getEntailedClauseCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed clauses, by natural logic
- getEntailedClauseList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- getEntailedClauseList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed clauses, by natural logic
- getEntailedClauseList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed clauses, by natural logic
- getEntailedClauseOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- getEntailedClauseOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed clauses, by natural logic
- getEntailedClauseOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed clauses, by natural logic
- getEntailedClauseOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- getEntailedClauseOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed clauses, by natural logic
- getEntailedClauseOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed clauses, by natural logic
- getEntailedSentence(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- getEntailedSentence(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed sentences, by natural logic
- getEntailedSentence(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed sentences, by natural logic
- getEntailedSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- getEntailedSentenceBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- getEntailedSentenceCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- getEntailedSentenceCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed sentences, by natural logic
- getEntailedSentenceCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed sentences, by natural logic
- getEntailedSentenceList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- getEntailedSentenceList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed sentences, by natural logic
- getEntailedSentenceList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed sentences, by natural logic
- getEntailedSentenceOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- getEntailedSentenceOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed sentences, by natural logic
- getEntailedSentenceOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed sentences, by natural logic
- getEntailedSentenceOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- getEntailedSentenceOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The entailed sentences, by natural logic
- getEntailedSentenceOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The entailed sentences, by natural logic
- getEntity(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEntity(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntity(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntity(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityMention(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEntityMentionArgs() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
Fetches the arguments of this relation that are entity mentions
- getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional uint32 entityMentionIndex = 10;
- getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional uint32 entityMentionIndex = 10;
- getEntityMentionIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional uint32 entityMentionIndex = 10;
- getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint32 entityMentionIndex = 65;
- getEntityMentionIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional uint32 entityMentionIndex = 65;
- getEntityMentionIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional uint32 entityMentionIndex = 65;
- getEntityMentions(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEntityMentions(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- getEntityMentions(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.Entity
-
- getEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- getEntityMentionText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string entityMentionText = 12;
- getEntityMentionText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string entityMentionText = 12;
- getEntityMentionText() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string entityMentionText = 12;
- getEntityMentionTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string entityMentionText = 12;
- getEntityMentionTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string entityMentionText = 12;
- getEntityMentionTextBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string entityMentionText = 12;
- getEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappings(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappingsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappingsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappingsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityMentionToCorefMentionMappingsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- getEntityOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- getEntityResultsPrinterSet() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
-
- getEntityType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string entityType = 6;
- getEntityType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string entityType = 6;
- getEntityType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string entityType = 6;
- getEntityTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string entityType = 6;
- getEntityTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string entityType = 6;
- getEntityTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string entityType = 6;
- getEntityTypeForTag(String) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
-
- getEntityTypeForTag(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.roth.RothEntityExtractor
-
- getEnv() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
- getEpsilon() - Method in class edu.stanford.nlp.classify.LogPrior
-
- getError() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
-
- getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
-
- getEvalbF1Percent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getEvals() - Method in class edu.stanford.nlp.parser.dvparser.CombinedDVModelReranker
-
- getEvals() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
-
- getEvals() - Method in interface edu.stanford.nlp.parser.lexparser.Reranker
-
- getEvals() - Method in class edu.stanford.nlp.parser.lexparser.TaggerReranker
-
- getEvalSummary(String, String, String) - Static method in class edu.stanford.nlp.coref.CorefScorer
-
- getEvent(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEventMention(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEventMentions(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- getEventMentions(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- getEventMentions(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.Event
-
- getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- getExact() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getExactPercent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getExamples(List<DocumentExamples>) - Static method in class edu.stanford.nlp.coref.statistical.PairwiseModelTrainer
-
- getExctWsRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getExistingAnnotator(String) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- getExponentialSchedule(double, double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
-
- getExpression(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
-
- getExpressionExtractor(Env, Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- getExtension(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getExtent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- getExtent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
-
- getExtent() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 extentEnd = 3;
- getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional uint32 extentEnd = 3;
- getExtentEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional uint32 extentEnd = 3;
- getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
optional uint32 extentEnd = 3;
- getExtentEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
optional uint32 extentEnd = 3;
- getExtentEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
optional uint32 extentEnd = 3;
- getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 extentStart = 2;
- getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional uint32 extentStart = 2;
- getExtentStart() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional uint32 extentStart = 2;
- getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
optional uint32 extentStart = 2;
- getExtentStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
optional uint32 extentStart = 2;
- getExtentStart() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
optional uint32 extentStart = 2;
- getExtentString() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- getExtentTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- getExtentTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- getExtractorFrames(String) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
-
- getExtractorFramesRare(String, TTags) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
-
Get an array of rare word feature Extractor identified by a name.
- getExtraEvals() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
-
Returns a list of extra Eval objects to use when scoring the parser.
- getExtraEvals() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- getExtraEvals() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
-
TODO: add an eval which measures transition accuracy?
- getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
-
- getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get extra dependencies that do not depend on the tree structure,
but rather only depend on the existing dependency structure.
- getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- getF1() - Method in class edu.stanford.nlp.coref.statistical.EvalUtils.AbstractEvaluator
-
- getF1() - Method in class edu.stanford.nlp.coref.statistical.EvalUtils.CombinedEvaluator
-
- getF1() - Method in interface edu.stanford.nlp.coref.statistical.EvalUtils.Evaluator
-
- getF1() - Method in class edu.stanford.nlp.dcoref.CorefScorer
-
- getF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
required double f1 = 1;
- getF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
-
required double f1 = 1;
- getF1() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponseOrBuilder
-
required double f1 = 1;
- getF1Description(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
Returns a String summarizing F1 that will print nicely.
- getF1Description(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getF1Description(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Returns a String summarizing F1 that will print nicely.
- getF1History() - Method in class edu.stanford.nlp.parser.metrics.EvaluateTreebank
-
- getFactor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactor(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactoredParser() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getFactoredParser() - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getFactoredParser() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getFactorList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorOrBuilder(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorOrBuilderList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- getFactorTable(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTable(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTable(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableCount() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableOrBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableOrBuilder(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableOrBuilderList() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTableOrBuilderList() - Method in interface edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTableOrBuilder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- getFactorTables() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
Returns a factory that vends DelimitRegExIterators that read the contents of the
given Reader, splits on the specified delimiter, then returns the result.
- getFactory(String, Function<String, T>) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
-
Returns a factory that vends DelimitRegExIterators that reads the contents of the
given Reader, splits on the specified delimiter, applies op, then returns the result.
- getFactory() - Static method in class edu.stanford.nlp.objectbank.LineIterator
-
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
- getFactory(Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.LineIterator
-
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
- getFactory(String) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
Returns a factory that vends BeginEndIterators that reads the contents of
the given Reader, extracts text between the specified Strings, then
returns the result.
- getFactory(String, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- getFactory(String, Function<String, E>) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- getFactory(String, Function<String, E>, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
-
- getFactory() - Method in class edu.stanford.nlp.stats.ClassicCounter
-
Returns a factory that can create new instances of this kind of Counter.
- getFactory() - Method in interface edu.stanford.nlp.stats.Counter
-
Returns a factory that can create new instances of this kind of Counter.
- getFactory() - Method in class edu.stanford.nlp.stats.IntCounter
-
- getFactory() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashCounter
-
- getFamilyAnimateVocative(List<CoreMap>, int, Person.Gender, List<String>) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
-
- getFCounter(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
- getFeature(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- getFeature(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
-
- getFeatureCount(double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns number of features with weight above a certain threshold
(across all labels).
- getFeatureCount(Set<L>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns number of features with weight above a certain threshold.
- getFeatureCount(F) - Method in class edu.stanford.nlp.ling.RVFDatum
-
- getFeatureCounter() - Method in class edu.stanford.nlp.classify.Dataset
-
Get Number of datums a given feature appears in.
- getFeatureCountLabelIndices(Set<Integer>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns number of features with weight above a certain threshold.
- getFeatureCounts() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Get the total count (over all data instances) of each feature
- getFeatureCounts() - Method in class edu.stanford.nlp.classify.WeightedDataset
-
- getFeatureCountThreshold(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getFeatureFromCoreLabel(CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
-
- getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
-
- getFeatureGrouping() - Method in interface edu.stanford.nlp.optimization.HasFeatureGrouping
-
- getFeatureIndex() - Method in class edu.stanford.nlp.classify.LogisticClassifier
-
- getFeatures(Example, Map<Integer, CompressedFeatureVector>, Compressor<String>) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor
-
- getFeatures(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- getFeatures(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
-
- getFeatures(Configuration) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- getFeatures() - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- getFeatures() - Method in class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- getFeatures(SemanticGraph, IndexedWord, boolean, Collection<String>, GrammaticalRelation) - Static method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- getFeaturesTable() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- getFeaturesTable() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- getFeaturesTable() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- getFeaturesTableBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- getFeaturesTableOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- getFeaturesTableOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- getFeaturesTableOrBuilder() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder
-
required .edu.stanford.nlp.loglinear.model.proto.ConcatVectorTable featuresTable = 1;
- getFeatureValue(String) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- getFieldIndex(String) - Static method in class edu.stanford.nlp.ie.pascal.PascalTemplate
-
- getFile(boolean) - Method in class edu.stanford.nlp.ie.crf.NERGUI
-
- getFile(boolean) - Method in class edu.stanford.nlp.ie.NERGUI
-
- getFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getFile() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
-
- getFileInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Get a input file stream (automatically gunzip depending on file extension)
- getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
-
- getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
-
- getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
-
- getFilenames() - Method in class edu.stanford.nlp.international.arabic.pipeline.DecimatedArabicDataset.ArabicTreeDecimatedNormalizer
-
- getFilenames() - Method in class edu.stanford.nlp.international.arabic.pipeline.IBMMTArabicDataset
-
- getFilenames() - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- getFilenames() - Method in interface edu.stanford.nlp.trees.treebank.Dataset
-
- getFileOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Get a output file stream (automatically gzip depending on file extension)
- getFileOutputStream(String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getFiles(File) - Method in class edu.stanford.nlp.ui.JarFileChooser
-
- getFileSentIds(CollectionValuedMap<String, String>) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
-
- getFileSentIdsFromPats(Collection<E>) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
-
- getFinalConllScore(String) - Static method in class edu.stanford.nlp.coref.CorefScorer
-
- getFinalConllScoreFromOutputDir(String, String) - Static method in class edu.stanford.nlp.coref.CorefScorer
-
- getFindType() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
-
- getFineGrainedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's fine-grained NER tag
- getFineGrainedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's fine-grained NER tag
- getFineGrainedNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's fine-grained NER tag
- getFineGrainedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's fine-grained NER tag
- getFineGrainedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's fine-grained NER tag
- getFineGrainedNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's fine-grained NER tag
- getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Finds the E with the highest priority and returns it, without
modifying the queue.
- getFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
-
Returns the highest-priority element without removing it from the
queue.
- getFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
-
Finds the object with the highest priority and returns it, without
modifying the queue.
- getFirstArg() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
Retrieves the argument that appears *first* in the sentence
- getFirstKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
-
- getFirstMention() - Method in class edu.stanford.nlp.coref.data.CorefCluster
-
- getFirstMention() - Method in class edu.stanford.nlp.dcoref.CorefCluster
-
- getFirstNonNullAttributeFromList(List<String>) - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
-
Given a list of attributes, return the first one that is non-null
- getFirstRoot() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the (first) root of this SemanticGraph.
- getFirstSyntacticHeadPosition() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
Find the left-most position of an argument's syntactic head
- getFirstTranslation(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
- getFloatFactorTable(float[][], int[][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
-
- getFMeasure(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getFMeasure() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getFMeasure() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Returns the current F1 measure (alpha=0.5).
- getFMeasure(double) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Returns the F-Measure with the given mixing parameter (must be between 0 and 1).
- getFN() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Returns the current count of false negatives.
- getFolds() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getFont() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getFontName() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
-
- getFontSize() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getFontSize() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
-
- getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getFourDimensionalMap(K1) - Method in class edu.stanford.nlp.util.FiveDimensionalMap
-
- getFP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Returns the current count of false positives.
- getFreshOptimizationState(ConcatVector) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer
-
This is called at the beginning of each batch optimization.
- getFreshOptimizationState(ConcatVector) - Method in class edu.stanford.nlp.loglinear.learning.BacktrackingAdaGradOptimizer
-
- getFullValue() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
Always returns the text corresponding to the extent of this object, even when
getValue is overridden by subclass.
- getFunc(int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
-
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string gender = 4;
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string gender = 4;
- getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string gender = 4;
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string gender = 4;
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string gender = 4;
- getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string gender = 4;
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string gender = 9;
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string gender = 9;
- getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string gender = 9;
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Fields set by other annotators in CoreNLP
- getGender() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Fields set by other annotators in CoreNLP
- getGender() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Fields set by other annotators in CoreNLP
- getGender(Sieve.MentionData) - Method in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
-
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string gender = 4;
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string gender = 4;
- getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string gender = 4;
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string gender = 4;
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string gender = 4;
- getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string gender = 4;
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string gender = 9;
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string gender = 9;
- getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string gender = 9;
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Fields set by other annotators in CoreNLP
- getGenderBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Fields set by other annotators in CoreNLP
- getGenderBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Fields set by other annotators in CoreNLP
- getGenderNumber(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getGeneralizeClasses() - Static method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getGeneralWordClassClusters() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getGeneric() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool generic = 25;
- getGeneric() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool generic = 25;
- getGeneric() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool generic = 25;
- getGenericity() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- getGenre() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- getGfCharacter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
-
- getGlobal() - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
-
For getting the instance that global methods use.
- getGlobal() - Static method in class edu.stanford.nlp.util.Interner
-
For getting the instance that global methods use.
- getGold() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- getGold() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- getGold() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResultOrBuilder
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- getGoldBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- getGoldClass(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
-
- getGoldCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 goldCorefClusterID = 14;
- getGoldCorefClusterID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional int32 goldCorefClusterID = 14;
- getGoldCorefClusterID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional int32 goldCorefClusterID = 14;
- getGoldLinks() - Method in class edu.stanford.nlp.coref.data.Document
-
- getGoldLinks() - Method in class edu.stanford.nlp.dcoref.Document
-
- getGoldOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- getGoldOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- getGoldOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResultOrBuilder
-
required .edu.stanford.nlp.pipeline.FlattenedParseTree gold = 1;
- getGoldTrees(CoreNLPProtos.EvaluateParserRequest) - Static method in class edu.stanford.nlp.parser.metrics.EvaluateExternalParser
-
Extract the gold trees from a list of requests
- getGoogleNgramScore(CandidatePhrase) - Static method in class edu.stanford.nlp.patterns.PhraseScorer
-
- getGovernor() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
-
- getGovernorIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
-
- getGovName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.RemoveEdge
-
- getGradb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGradE() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGradW1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGradW2() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
-
- getGrammaticalRelation(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep.
- getGrammaticalRelation(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep.
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
-
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
-
- getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Build a GrammaticalStructure from a Tree.
- getGranularity() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
-
- getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
-
- getGraph() - Method in class edu.stanford.nlp.patterns.dep.DataInstanceDep
-
- getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversionOrBuilder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.DependenciesOrBuilder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraph(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraph(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraph(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraph() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraph() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraph() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the graph associated with this match.
- getGraph(SequenceModel, Index<String>) - Static method in class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
-
- getGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphFromMap(Map<String, TransducerGraph>, String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- getGraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
when processing multiple dependency graphs at once,
which dependency graph this applies to
indexed from 0
- getGraphIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
when processing multiple dependency graphs at once,
which dependency graph this applies to
indexed from 0
- getGraphIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
when processing multiple dependency graphs at once,
which dependency graph this applies to
indexed from 0
- getGraphList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversionOrBuilder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.DependenciesOrBuilder
-
required .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResultOrBuilder
-
optional .edu.stanford.nlp.pipeline.DependencyGraph graph = 1;
- getGraphOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGraphOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequestOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- getGroup(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroup(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroup(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getGroupOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- getHasBasicDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasBasicDependency = 27;
- getHasBasicDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool hasBasicDependency = 27;
- getHasBasicDependency() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool hasBasicDependency = 27;
- getHasContextParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasContextParseTree = 29;
- getHasContextParseTree() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool hasContextParseTree = 29;
- getHasContextParseTree() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool hasContextParseTree = 29;
- getHasCorefAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional bool hasCorefAnnotation = 16;
- getHasCorefAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
optional bool hasCorefAnnotation = 16;
- getHasCorefAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
optional bool hasCorefAnnotation = 16;
- getHasCorefMentionAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
optional bool hasCorefMentionAnnotation = 15;
- getHasCorefMentionAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
optional bool hasCorefMentionAnnotation = 15;
- getHasCorefMentionAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
optional bool hasCorefMentionAnnotation = 15;
- getHasCorefMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional bool hasCorefMentionsAnnotation = 57;
- getHasCorefMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional bool hasCorefMentionsAnnotation = 57;
- getHasCorefMentionsAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional bool hasCorefMentionsAnnotation = 57;
- getHasEnhancedDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasEnhancedDependency = 28;
- getHasEnhancedDependency() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool hasEnhancedDependency = 28;
- getHasEnhancedDependency() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool hasEnhancedDependency = 28;
- getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
used to differentiate between null and empty list
- getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
used to differentiate between null and empty list
- getHasEntityMentionsAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
used to differentiate between null and empty list
- getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
check if there are entity mentions
- getHasEntityMentionsAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
check if there are entity mentions
- getHasEntityMentionsAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
check if there are entity mentions
- getHash() - Method in class edu.stanford.nlp.coref.statistical.Clusterer.Cluster
-
- getHasKBPTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
check if there are KBP triples
- getHasKBPTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
check if there are KBP triples
- getHasKBPTriplesAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
check if there are KBP triples
- getHasNumerizedTokensAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional bool hasNumerizedTokensAnnotation = 54;
- getHasNumerizedTokensAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional bool hasNumerizedTokensAnnotation = 54;
- getHasNumerizedTokensAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional bool hasNumerizedTokensAnnotation = 54;
- getHasOpenieTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
check if there are OpenIE triples
- getHasOpenieTriplesAnnotation() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
check if there are OpenIE triples
- getHasOpenieTriplesAnnotation() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
check if there are OpenIE triples
- getHasRelationAnnotations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
Fields set by other annotators in CoreNLP
- getHasRelationAnnotations() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
Fields set by other annotators in CoreNLP
- getHasRelationAnnotations() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
Fields set by other annotators in CoreNLP
- getHasTwin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool hasTwin = 24;
- getHasTwin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool hasTwin = 24;
- getHasTwin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool hasTwin = 24;
- getHasXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- getHasXmlContext() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Used by clean xml annotator
- getHasXmlContext() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Used by clean xml annotator
- getHead() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- getHead() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- getHead(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getHeadEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 headEnd = 7;
- getHeadEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional uint32 headEnd = 7;
- getHeadEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional uint32 headEnd = 7;
- getHeadFinder(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- getHeadFinder() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getHeadFinder() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
- getHeadIndex(Tree, HeadFinder) - Static method in class edu.stanford.nlp.coref.data.DocumentPreprocessor
-
- getHeadIndex(Tree) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
-
- getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional uint32 headIndex = 9;
- getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional uint32 headIndex = 9;
- getHeadIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional uint32 headIndex = 9;
- getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 headIndex = 10;
- getHeadIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional int32 headIndex = 10;
- getHeadIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional int32 headIndex = 10;
- getHeadIndexedWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- getHeadIndexedWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- getHeadIndexedWord() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- getHeadIndexedWordBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- getHeadIndexedWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- getHeadIndexedWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- getHeadIndexedWordOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
- getHeadStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 headStart = 6;
- getHeadStart() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional uint32 headStart = 6;
- getHeadStart() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional uint32 headStart = 6;
- getHeadString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string headString = 11;
- getHeadString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string headString = 11;
- getHeadString() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string headString = 11;
- getHeadStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string headString = 11;
- getHeadStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string headString = 11;
- getHeadStringBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string headString = 11;
- getHeadTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- getHeadTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional uint32 headTokenIndex = 10;
- getHeadTokenIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional uint32 headTokenIndex = 10;
- getHeadTokenIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional uint32 headTokenIndex = 10;
- getHeadTokenPosition() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- getHeadTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- getHeadWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- getHeadWord() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- getHeadWord() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- getHeadWordBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- getHeadWordIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
- getHeadWordIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
- getHeadWordIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
- getHeadWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- getHeadWordOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- getHeadWordOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
- getHeldOutPercent() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- getHighestScoringTree(Tree, double) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
-
- getHighlightColor() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getHistories(String[], History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
-
This computes scores of tags at a position in a sentence (the so called "History").
- getHistory() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
-
- getHistoryList() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
-
- getHistorySize() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getHistoryString() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
-
- getID() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- getId() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
-
- getId() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string id = 3;
- getId() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
optional string id = 3;
- getId() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder
-
optional string id = 3;
- getID() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
-
- getID() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.WordlistTest
-
- getID() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonWordlist
-
- getIdBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string id = 3;
- getIdBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
optional string id = 3;
- getIdBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder
-
optional string id = 3;
- getIfDefined() - Method in class edu.stanford.nlp.util.Lazy
-
Get the value of this
Lazy
if it's been initialized, or else
return null.
- getIgnoreWordswithClassesDuringSelection() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getIncomingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getIncomingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it is just the edges from the node
- getIncomingEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getInDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getInDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
-
for undirected graph, it should just be the degree
- getIndex() - Method in class edu.stanford.nlp.coref.statistical.Compressor
-
- getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
required uint32 index = 2;
- getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node
-
required uint32 index = 2;
- getIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.NodeOrBuilder
-
required uint32 index = 2;
- getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 index = 10;
- getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional uint32 index = 10;
- getIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional uint32 index = 10;
- getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Most serialized annotations will not have this
Some code paths may not correctly process this if serialized,
since many places will read the index off the position in a sentence
In particular, deserializing a Document using ProtobufAnnotationSerializer
will clobber any index value
But Semgrex and Ssurgeon in particular need a way
to pass around nodes where the node's index is not strictly 1, 2, 3, ...
- getIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
Most serialized annotations will not have this
Some code paths may not correctly process this if serialized,
since many places will read the index off the position in a sentence
In particular, deserializing a Document using ProtobufAnnotationSerializer
will clobber any index value
But Semgrex and Ssurgeon in particular need a way
to pass around nodes where the node's index is not strictly 1, 2, 3, ...
- getIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
Most serialized annotations will not have this
Some code paths may not correctly process this if serialized,
since many places will read the index off the position in a sentence
In particular, deserializing a Document using ProtobufAnnotationSerializer
will clobber any index value
But Semgrex and Ssurgeon in particular need a way
to pass around nodes where the node's index is not strictly 1, 2, 3, ...
- getIndex(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns the index of the first occurrence in the list of the specified
object, using object identity (==) not equality as the criterion for object
presence.
- getIndex(List<T>, T, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Returns the index of the first occurrence after the startIndex (exclusive)
in the list of the specified object, using object equals function.
- getIndexAndCount(String) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
-
- getIndexOfChild(Object, Object) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- getIndices() - Method in class edu.stanford.nlp.patterns.dep.ExtractedPhrase
-
- getInDict(String) - Method in class edu.stanford.nlp.wordseg.AffixDictionary
-
- getInexactDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getInexactDuration(Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
-
- getInformationGains() - Method in class edu.stanford.nlp.classify.Dataset
-
- getInnaSisters() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
-
- getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
-
- getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
-
- getInput() - Method in class edu.stanford.nlp.fsm.DFSATransition
-
- getInput() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
-
- getInputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
-
Returns the input encoding being used.
- getInputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
-
Returns the input encoding being used.
- getInputPath(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- getInputs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- getInputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
-
- getInputStreamFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
-
Locates this file either using the given URL, or in the CLASSPATH, or in the file system
The CLASSPATH takes priority over the file system!
This stream is buffered and gunzipped (if necessary).
- getInsertNPinPP() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
-
- getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.EmpiricalNERPriorBIOFactory
-
- getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.EmpiricalNERPriorFactory
-
- getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in interface edu.stanford.nlp.ie.PriorModelFactory
-
- getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.UniformPriorFactory
-
- getInstance() - Static method in class edu.stanford.nlp.international.arabic.ArabicVerbStemBank
-
- getInstance() - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Singleton pattern function for getting a default verb stripper.
- getInstance(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
-
Singleton pattern function for getting a verb stripper based on
the dictionary at dictPath.
- getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
A method for getting a singleton instance of this class.
- getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
-
- getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
-
- getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
-
- getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
Returns the singleton instance of the MatchesPanel
- getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
-
- getInstant(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getInstant(Partial, ZoneId) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getInt(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load an integer property.
- getInt(Properties, String, int) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load an integer property.
- getIntArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Loads a comma-separated list of integers from Properties.
- getIntCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
-
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
- getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
-
- getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
-
- getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
-
- getInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getInterval() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getInterval() - Method in interface edu.stanford.nlp.util.HasInterval
-
Returns the interval
- getInterval() - Method in class edu.stanford.nlp.util.Interval
-
Returns this interval.
- getInterval() - Method in class edu.stanford.nlp.util.ValuedInterval
-
- getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
-
- getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
-
- getInverseArcs(Object, Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- getInverseArcs(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- getInverseImages(ExactAutomatonMinimizer.ExactBlock<TransducerGraph.Arc>, Object) - Method in class edu.stanford.nlp.fsm.ExactAutomatonMinimizer
-
- getInverseImages(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- getIsDirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isDirectObject = 21;
- getIsDirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool isDirectObject = 21;
- getIsDirectObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool isDirectObject = 21;
- getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional bool isExtra = 4;
- getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
optional bool isExtra = 4;
- getIsExtra() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder
-
optional bool isExtra = 4;
- getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
optional bool isExtra = 5;
- getIsExtra() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
-
optional bool isExtra = 5;
- getIsExtra() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder
-
optional bool isExtra = 5;
- getIsFirstMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional bool isFirstMWT = 68;
- getIsFirstMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional bool isFirstMWT = 68;
- getIsFirstMWT() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional bool isFirstMWT = 68;
- getIsIndirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isIndirectObject = 22;
- getIsIndirectObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool isIndirectObject = 22;
- getIsIndirectObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool isIndirectObject = 22;
- getIsMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mwt stuff
- getIsMWT() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
mwt stuff
- getIsMWT() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
mwt stuff
- getIsNewline() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional bool isNewline = 38;
- getIsNewline() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional bool isNewline = 38;
- getIsNewline() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional bool isNewline = 38;
- getIsPrepositionObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isPrepositionObject = 23;
- getIsPrepositionObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool isPrepositionObject = 23;
- getIsPrepositionObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool isPrepositionObject = 23;
- getIsSingleton() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isSingleton = 26;
- getIsSingleton() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool isSingleton = 26;
- getIsSingleton() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool isSingleton = 26;
- getIsSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional bool isSubject = 20;
- getIsSubject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional bool isSubject = 20;
- getIsSubject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional bool isSubject = 20;
- getIstmod() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
If true, this expresses an implicit tmod relation
- getIstmod() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
If true, this expresses an implicit tmod relation
- getIstmod() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
If true, this expresses an implicit tmod relation
- getIterations() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
Iterate over an input document.
- getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
-
- getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory
-
Return an iterator over the contents read from r.
- getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
-
Returns a tokenizer wrapping the given Reader.
- getIterator(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnTabDocumentReaderWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.LibSVMReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.MalletReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.MUCDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
-
- getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
-
Same as getTokenizer().
- getIterator(Reader) - Method in class edu.stanford.nlp.trees.ud.CoNLLUDocumentReader
-
- getIterator(Reader) - Method in class edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter
-
- getJNLPLocalScratch() - Static method in class edu.stanford.nlp.io.IOUtils
-
A JavaNLP specific convenience routine for obtaining the current
scratch directory for the machine you're currently running on.
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getJodaTimeInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.Time
-
- getJodaTimePeriod(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.Duration
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
-
- getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
-
- getJsonStringList(JsonObject, String) - Static method in class edu.stanford.nlp.scenegraph.image.SceneGraphImageUtils
-
A utility method for javax json: extract a list of strings from the object
- getJustification() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- getJustText(Node) - Static method in class edu.stanford.nlp.quoteattribution.XMLToAnnotation
-
- getKanSisters() - Static method in class edu.stanford.nlp.international.arabic.ArabicWordLists
-
- getKbestF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
optional double kbestF1 = 2;
- getKbestF1() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse
-
optional double kbestF1 = 2;
- getKbestF1() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponseOrBuilder
-
optional double kbestF1 = 2;
- getKBestParses(List<? extends HasWord>, int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getKBestParses(List<? extends HasWord>, int, boolean) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getKBestParses(Iterable<List<? extends HasWord>>, int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getKBestParses(Iterable<List<? extends HasWord>>, int, boolean) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getKBestParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getKBestParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get the exact k best parses for the sentence.
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
Get the exact k best parses for the sentence.
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
Get the exact k best parses for the sentence.
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
Get the exact k best parses for the sentence.
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
-
Get the exact k best parses for the sentence.
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
Return the k best parses of the sentence most recently parsed.
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getKBestParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getKBestParseTrees(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTrees(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTrees(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestParseTreesOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- getKBestPCFGParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
Returns the trees (and scores) corresponding to the
k-best derivations of the sentence.
- getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
TODO: return more if this used a beam
- getKbpTriple(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- getKbpTriple(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The KBP triples in this sentence
- getKbpTriple(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The KBP triples in this sentence
- getKbpTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- getKbpTripleBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- getKbpTripleCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- getKbpTripleCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The KBP triples in this sentence
- getKbpTripleCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The KBP triples in this sentence
- getKbpTripleList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- getKbpTripleList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The KBP triples in this sentence
- getKbpTripleList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The KBP triples in this sentence
- getKbpTripleOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- getKbpTripleOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The KBP triples in this sentence
- getKbpTripleOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The KBP triples in this sentence
- getKbpTripleOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- getKbpTripleOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
The KBP triples in this sentence
- getKbpTripleOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
The KBP triples in this sentence
- getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader
-
Returns whether created documents will store their source text along with tokenized words.
- getKey(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- getKey(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
repeated string key = 1;
- getKey(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder
-
repeated string key = 1;
- getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated uint32 key = 1;
- getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
-
repeated uint32 key = 1;
- getKey(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntStringOrBuilder
-
repeated uint32 key = 1;
- getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- getKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
repeated string key = 1;
- getKey(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder
-
repeated string key = 1;
- getKeyBytes(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- getKeyBytes(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
repeated string key = 1;
- getKeyBytes(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder
-
repeated string key = 1;
- getKeyBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- getKeyBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
repeated string key = 1;
- getKeyBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder
-
repeated string key = 1;
- getKeyCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- getKeyCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
repeated string key = 1;
- getKeyCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder
-
repeated string key = 1;
- getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated uint32 key = 1;
- getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
-
repeated uint32 key = 1;
- getKeyCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntStringOrBuilder
-
repeated uint32 key = 1;
- getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- getKeyCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
repeated string key = 1;
- getKeyCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder
-
repeated string key = 1;
- getKeyForClass(Class) - Static method in class edu.stanford.nlp.patterns.surface.Token
-
- getKeyList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- getKeyList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData
-
repeated string key = 1;
- getKeyList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaDataOrBuilder
-
repeated string key = 1;
- getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated uint32 key = 1;
- getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString
-
repeated uint32 key = 1;
- getKeyList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntStringOrBuilder
-
repeated uint32 key = 1;
- getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- getKeyList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString
-
repeated string key = 1;
- getKeyList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringStringOrBuilder
-
repeated string key = 1;
- getKeySetEntities() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- getKGoodFactoredParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
-
- getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
-
- getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
-
- getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.metrics.ExternalParserQuery
-
- getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
-
- getKGoodParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get k good parses for the sentence.
- getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
Return the list of k "good" parses of the sentence most recently parsed.
- getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
Get k good parses for the sentence.
- getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
Get k good parses for the sentence.
- getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
-
Return the list of N "good" parses of the sentence most recently parsed.
- getKnownLCWords() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
- getKSampledParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
-
Get k parse samples for the sentence.
- getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
Get k parse samples for the sentence.
- getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
-
Get k parse samples for the sentence.
- getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
-
Get k parse samples for the sentence.
- getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
-
Get k parse samples for the sentence.
- getL1NormalizedTFIDFDataset() - Method in class edu.stanford.nlp.classify.Dataset
-
Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
- getL1NormalizedTFIDFDatum(Datum<L, F>, Counter<F>) - Method in class edu.stanford.nlp.classify.Dataset
-
Method to convert features from counts to L1-normalized TFIDF based features
- getLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- getLabel(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLabel() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
-
- getLabeledMentionPairs(Document) - Static method in class edu.stanford.nlp.coref.CorefUtils
-
- getLabeledToDescriptiveCoreLabelTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
Returns a function which takes a tree with any label class
where the labels might have an interesting description, such
as a CategoryWordTag which goes "cat [T/W]", and returns a new
tree with CoreLabels which contain the toString() of each of
the input labels.
- getLabeledTreeToCategoryWordTagTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
Return a Function that maps from StringLabel labeled trees to
LabeledScoredTrees with a CategoryWordTag label.
- getLabeledTreeToStringLabeledTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
-
Return an Function that maps from Label-labeled trees (any
implementing class) to LabeledScored trees with a StringLabel
label.
- getLabelForInternalNegativeClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
-
- getLabelForInternalPositiveClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
-
- getLabelID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
-
- getLabelIndices(Set<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
-
Returns indices of labels
- getLabels() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- getLabels() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getLabels() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- getLabelsArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
-
- getLang() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getLanguage(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- getLanguage(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getLanguage(String) - Static method in class edu.stanford.nlp.parser.nndep.Config
-
Get the
Language
object corresponding to the given language string.
- getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
.edu.stanford.nlp.pipeline.Language language = 2;
- getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest
-
.edu.stanford.nlp.pipeline.Language language = 2;
- getLanguage() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequestOrBuilder
-
.edu.stanford.nlp.pipeline.Language language = 2;
- getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
- getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge
-
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
- getLanguage() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.EdgeOrBuilder
-
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
- getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string language = 5;
- getLanguage() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
optional string language = 5;
- getLanguage() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder
-
optional string language = 5;
- getLanguage() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- getLanguage() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
Get the language of the grammatical relation.
- getLanguageBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string language = 5;
- getLanguageBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
optional string language = 5;
- getLanguageBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder
-
optional string language = 5;
- getLanguageFromString(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
convert various input strings to language enum
- getLanguageProperties(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
return an actual properties object for a given language
- getLanguagePropertiesFile(String) - Static method in class edu.stanford.nlp.pipeline.LanguageInfo
-
return the properties file name for a specific language
- getLastArg() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
Retrieves the argument that appears *last* in the sentence
- getLastF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getLastSyntacticHeadPosition() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
Find the right-most position of an argument's syntactic head
- getLatticeWords() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
-
- getLBScore() - Method in class edu.stanford.nlp.parser.metrics.EvaluateTreebank
-
- getLdctype() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
-
Gets the ith leaf of a tree from the left.
- getLeafVertices() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- getLearnClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getLearnedPatterns(String) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- getLearnedPatterns() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- getLearnedPatternsEachIter() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- getLearnedPatternsEachIter(String) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- getLearnedWords(String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getLearnedWordsAsJson() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getLearnedWordsAsJsonLastIteration() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getLearnedWordsEachIter(String) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getLearnedWordsEachIter() - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- getLearningRate(String) - Method in interface edu.stanford.nlp.coref.statistical.SimpleLinearClassifier.LearningRateSchedule
-
- getLeaves() - Method in class edu.stanford.nlp.trees.Tree
-
Gets the leaves of the tree.
- getLeaves(List<T>) - Method in class edu.stanford.nlp.trees.Tree
-
Gets the leaves of the tree.
- getLeftAsKey(L) - Method in class edu.stanford.nlp.util.OneToOneMap
-
- getLeftChild(int, int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLeftChild(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLeftLabelSet(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLeftmostNode(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
-
- getLeftValency(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- getLemma() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
required string lemma = 3;
- getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
-
required string lemma = 3;
- getLemma() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemmaOrBuilder
-
required string lemma = 3;
- getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's lemma
- getLemma() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's lemma
- getLemma() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's lemma
- getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
required string lemma = 3;
- getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma
-
required string lemma = 3;
- getLemmaBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemmaOrBuilder
-
required string lemma = 3;
- getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's lemma
- getLemmaBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's lemma
- getLemmaBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's lemma
- getLemmas(String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
-
Get the lemmas for the text according to the parser's lemmatizer
(only applies to English), return it as whitespace tokenized text.
- getLexicalCondition() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
- getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
-
Get the lexicon associated with this unknown word model; usually not used, but
might be useful to tell you if a related word is known or unknown, for example.
- getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- getLexicon() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Returns the lexicon used by this unknown word model.
- getLinearSchedule(double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
-
- getLineIterable(Reader, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
Given a reader, returns the lines from the reader as an Iterable.
- getLineIterable(Reader, int, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
-
- getLineIterator(String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(String, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(String, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Reader) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Reader, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(File, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Collection<?>, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Collection<?>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineIterator(Collection<?>, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
-
- getLineNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
optional uint32 lineNumber = 20;
- getLineNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
optional uint32 lineNumber = 20;
- getLineNumber() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
optional uint32 lineNumber = 20;
- getLinks(Map<Integer, CorefChain>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
-
- getLinks(Map<Integer, CorefChain>) - Static method in class edu.stanford.nlp.pipeline.CorefAnnotator
-
- getLinks(Map<Integer, CorefChain>) - Static method in class edu.stanford.nlp.pipeline.HybridCorefAnnotator
-
- getListComparator() - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- getListComparator() - Static method in class edu.stanford.nlp.util.Comparators
-
- getListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 listMembers = 57;
- getListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 listMembers = 57;
- getListMembers(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 listMembers = 57;
- getListMembersCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 listMembers = 57;
- getListMembersCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 listMembers = 57;
- getListMembersCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 listMembers = 57;
- getListMembersList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 listMembers = 57;
- getListMembersList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
repeated int32 listMembers = 57;
- getListMembersList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
repeated int32 listMembers = 57;
- getLiteral() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getLnrmRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getLoc() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
-
- getLocalizedMessage() - Method in exception edu.stanford.nlp.time.SUTimeSimpleParser.SUTimeParsingError
-
- getLoggerLevel() - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
-
- getLong(Properties, String, long) - Static method in class edu.stanford.nlp.util.PropertiesUtils
-
Load an integer property as a long.
- getLongestPhrase(List<PhraseTable.Phrase>) - Static method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- getLongName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
-
- getLowestCommonAncestor(List<Tree>, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
Get lowest common ancestor of all the nodes in the list with the tree rooted at root
- getLowestCommonAncestor(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
-
returns the node of a tree which represents the lowest common
ancestor of nodes t1 and t2 dominated by root.
- getLWsRegex(String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getMainStrs(List<String>) - Static method in class edu.stanford.nlp.util.AcronymMatcher
-
- getMangledTree() - Method in class edu.stanford.nlp.trees.CollocationFinder
-
Returns the "collocations included" parse tree.
- getMap(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
-
- getMap() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- getMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
-
- getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
-
- getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
- getMapping(String) - Method in class edu.stanford.nlp.tagger.maxent.Distsim
-
Returns the cluster for the given word as a string.
- getMargin(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
-
- getMarkLineBreaks() - Method in class edu.stanford.nlp.process.StripTagsProcessor
-
Returns whether the output of the processor will contain newline words
("\n") at the end of block-level tags.
- getMassiBbn() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getMassiClass() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getMassiWnss() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatch(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- getMatch() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- getMatch() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatch(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatch(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatch(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatch() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Get the last matching node -- that is, the node that matches the root node
of the pattern.
- getMatch() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
- getMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- getMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatched() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
-
- getMatchedColor() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getMatchedColor() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
-
- getMatchedLength() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
-
- getMatchedPartCoordinates() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
-
- getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
-
- getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
- getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
-
- getMatchedSentences() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
Returns all currently displayed sentences in plain text form.
- getMatchedTokensByAllPhrases() - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- getMatchedTokensByPhrase(String) - Method in class edu.stanford.nlp.patterns.TextAnnotationPatterns
-
- getMatcher(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- getMatcher(List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Returns a TokenSequenceMatcher that can be used to match this pattern
against the specified list of tokens.
- getMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
-
- getMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
Returns all currently displayed matches in string buffer, penn treebank form
(suitable for writing out, for instance)
- getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
required int32 matchIndex = 1;
- getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
required int32 matchIndex = 1;
- getMatchIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
required int32 matchIndex = 1;
- getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
required int32 matchIndex = 2;
- getMatchIndex() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
-
required int32 matchIndex = 2;
- getMatchIndex() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder
-
required int32 matchIndex = 2;
- getMatchingMentionsSpans(Annotation, Collection<CorefChain>, Predicate<Pair<CorefChain.CorefMention, List<CoreLabel>>>, boolean) - Static method in class edu.stanford.nlp.coref.CorefUtils
-
- getMatchingSpans(Annotation) - Static method in class edu.stanford.nlp.coref.CorefUtils
-
- getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchName() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.NodeTest
-
- getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- getMatchOrBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- getMatchOrBuilder() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchOrBuilder
-
required .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation match = 2;
- getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResultOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- getMatchOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponseOrBuilder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- getMatchPortionOnly() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getMatchType() - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
-
- getMaxAvailableMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getMaxAvailableMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getMaxedMarginals() - Method in class edu.stanford.nlp.loglinear.inference.TableFactor
-
Convenience function to max out all but one variable, and return the marginal array.
- getMaxMatches() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
-
- getMaxMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
-
- getMaxNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- getMaxSentDistForSieve(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getMaxSentenceLength() - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
-
- getMaxSize() - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet
-
- getMaxTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
Returns the largest start of all argument heads (or the beginning of the
mention's extent if there are no arguments)
- getMaxTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
Returns the largest end of the two args heads
- getMembers() - Method in interface edu.stanford.nlp.fsm.Block
-
- getMemoryInUse() - Static method in class edu.stanford.nlp.util.SystemUtils
-
Returns the number of megabytes (MB) of memory in use.
- getMention(Integer, String, List<CoreLabel>) - Static method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
-
- getMention(Integer, String, List<CoreLabel>) - Static method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
-
- getMention() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- getMention(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- getMention(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
-
- getMention(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMention(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMention(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mention = 12;
- getMention() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string mention = 12;
- getMention() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string mention = 12;
- getMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 mentionBegin = 13;
- getMentionBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional uint32 mentionBegin = 13;
- getMentionBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional uint32 mentionBegin = 13;
- getMentionBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mention = 12;
- getMentionBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string mention = 12;
- getMentionBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string mention = 12;
- getMentionCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- getMentionCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
-
- getMentionCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionData(CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
-
- getMentionDetectionModel(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- getMentionEmbeddings(Mention, SimpleMatrix) - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
-
- getMentionEmbeddingsForFast(Mention) - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
-
- getMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional uint32 mentionEnd = 14;
- getMentionEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional uint32 mentionEnd = 14;
- getMentionEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional uint32 mentionEnd = 14;
- getMentionFeatureIds() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefModel
-
- getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional int32 mentionID = 1;
- getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional int32 mentionID = 1;
- getMentionID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional int32 mentionID = 1;
- getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 mentionID = 1;
- getMentionID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional int32 mentionID = 1;
- getMentionID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional int32 mentionID = 1;
- getMentionList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionMap() - Method in class edu.stanford.nlp.coref.data.CorefChain
-
- getMentionMap() - Method in class edu.stanford.nlp.dcoref.CorefChain
-
- getMentionNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional int32 mentionNum = 16;
- getMentionNum() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional int32 mentionNum = 16;
- getMentionNum() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional int32 mentionNum = 16;
- getMentionOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChainOrBuilder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- getMentionPairs(Document) - Static method in class edu.stanford.nlp.coref.CorefUtils
-
- getMentions() - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
-
- getMentions() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
-
- getMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
-
- getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
This field is for entity mentions across the document.
- getMentions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
This field is for entity mentions across the document.
- getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
repeated int32 mentions = 2;
- getMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
-
repeated int32 mentions = 2;
- getMentions(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfoOrBuilder
-
repeated int32 mentions = 2;
- getMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- getMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- getMentionsBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
This field is for entity mentions across the document.
- getMentionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
This field is for entity mentions across the document.
- getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
repeated int32 mentions = 2;
- getMentionsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
-
repeated int32 mentions = 2;
- getMentionsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfoOrBuilder
-
repeated int32 mentions = 2;
- getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
coref mentions for entire document *
- getMentionsForCoref(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
coref mentions for entire document *
- getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCoref(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCoref(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- getMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- getMentionsForCorefBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
coref mentions for entire document *
- getMentionsForCorefCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
coref mentions for entire document *
- getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
coref mentions for entire document *
- getMentionsForCorefList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
coref mentions for entire document *
- getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
coref mentions for entire document *
- getMentionsForCorefOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
coref mentions for entire document *
- getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
coref mentions for entire document *
- getMentionsForCorefOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
coref mentions for entire document *
- getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionsForCorefOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- getMentionSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mentionSieve = 16;
- getMentionSieve() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string mentionSieve = 16;
- getMentionSieve() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string mentionSieve = 16;
- getMentionSieveBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mentionSieve = 16;
- getMentionSieveBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string mentionSieve = 16;
- getMentionSieveBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string mentionSieve = 16;
- getMentionsInTextualOrder() - Method in class edu.stanford.nlp.coref.data.CorefChain
-
get List of CorefMentions
- getMentionsInTextualOrder() - Method in class edu.stanford.nlp.dcoref.CorefChain
-
get List of CorefMentions
- getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
This field is for entity mentions across the document.
- getMentionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
This field is for entity mentions across the document.
- getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
repeated int32 mentions = 2;
- getMentionsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo
-
repeated int32 mentions = 2;
- getMentionsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfoOrBuilder
-
repeated int32 mentions = 2;
- getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
This field is for entity mentions across the document.
- getMentionsOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
This field is for entity mentions across the document.
- getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
-
This field is for entity mentions across the document.
- getMentionsOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DocumentOrBuilder
-
This field is for entity mentions across the document.
- getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceOrBuilder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- getMentionsWithSameHead(IntPair) - Method in class edu.stanford.nlp.coref.data.CorefChain
-
get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
- getMentionsWithSameHead(int, int) - Method in class edu.stanford.nlp.coref.data.CorefChain
-
get CorefMention by position
- getMentionsWithSameHead(IntPair) - Method in class edu.stanford.nlp.dcoref.CorefChain
-
get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
- getMentionsWithSameHead(int, int) - Method in class edu.stanford.nlp.dcoref.CorefChain
-
get CorefMention by position
- getMentionType(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getMentionType() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string mentionType = 2;
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string mentionType = 2;
- getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string mentionType = 2;
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string mentionType = 8;
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional string mentionType = 8;
- getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional string mentionType = 8;
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string mentionType = 2;
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string mentionType = 2;
- getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string mentionType = 2;
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mentionType = 15;
- getMentionType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string mentionType = 15;
- getMentionType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string mentionType = 15;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string mentionType = 2;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string mentionType = 2;
- getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string mentionType = 2;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string mentionType = 8;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional string mentionType = 8;
- getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional string mentionType = 8;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string mentionType = 2;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string mentionType = 2;
- getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string mentionType = 2;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
optional string mentionType = 15;
- getMentionTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
-
optional string mentionType = 15;
- getMentionTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.QuoteOrBuilder
-
optional string mentionType = 15;
- getMentionTypeStr(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getMergedChunk(List<? extends CoreMap>, String, int, int, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive).
- getMergedChunk(List<? extends CoreMap>, int, int, Map<Class, CoreMapAttributeAggregator>, CoreLabelTokenFactory) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
- getMergedList() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- getMergedList(int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- getMergeThreshold(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaData() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaData() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaData() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataByReference() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel.Factor
-
- getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataOrBuilder() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataOrBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMetaDataOrBuilder() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModelOrBuilder
-
optional .edu.stanford.nlp.loglinear.model.proto.MetaData metaData = 3;
- getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
-
- getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
-
- getMidPoint(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
-
- getMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getMinimizer() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getMinimizer(int, Evaluator[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getMinNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
-
- getMinTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
Returns the smallest start of all argument heads (or the beginning of the
mention's extent if there are no arguments)
- getMinTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
-
Returns the smallest start of the two args heads
- getMinWordsLockTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getMod() - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- getModal(Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
-
- getModal(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
-
- getModality() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- getMode() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getModel() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
-
- getModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getModelFromLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
-
- getModelMetaDataByReference() - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel
-
- getModification() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- getModifiers(Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
-
- getModifiers(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
-
- getMonth() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
-
- getMostGeneral(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getMostGeneral(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getMostSpecific(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getMostSpecific(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- getmPolarity() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- getMultimatched() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
-
- getMultimatches() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
-
- getMultioffsets() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
-
- getMultiPatternMatcher(Collection<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
- getMultiPatternMatcher(TokenSequencePattern...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
- getMultiPatternMatcher(String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
Create a multi-pattern matcher for matching across multiple TokensRegex patterns from Strings.
- getMultivalues() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
-
- getMwtMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
setting this to a map might be nice, but there are a couple issues
for one, there can be values with no key
for another, it's a pain to correctly parse, since different treebanks
can have different standards for how to write out the misc field
- getMwtMisc() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
setting this to a map might be nice, but there are a couple issues
for one, there can be values with no key
for another, it's a pain to correctly parse, since different treebanks
can have different standards for how to write out the misc field
- getMwtMisc() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
setting this to a map might be nice, but there are a couple issues
for one, there can be values with no key
for another, it's a pain to correctly parse, since different treebanks
can have different standards for how to write out the misc field
- getMwtMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
setting this to a map might be nice, but there are a couple issues
for one, there can be values with no key
for another, it's a pain to correctly parse, since different treebanks
can have different standards for how to write out the misc field
- getMwtMiscBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
setting this to a map might be nice, but there are a couple issues
for one, there can be values with no key
for another, it's a pain to correctly parse, since different treebanks
can have different standards for how to write out the misc field
- getMwtMiscBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
setting this to a map might be nice, but there are a couple issues
for one, there can be values with no key
for another, it's a pain to correctly parse, since different treebanks
can have different standards for how to write out the misc field
- getMwtText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string mwtText = 69;
- getMwtText() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string mwtText = 69;
- getMwtText() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string mwtText = 69;
- getMwtTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string mwtText = 69;
- getMwtTextBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string mwtText = 69;
- getMwtTextBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string mwtText = 69;
- getNAEmbedding() - Method in class edu.stanford.nlp.coref.neural.EmbeddingExtractor
-
- getName() - Method in interface edu.stanford.nlp.coref.CorefDocumentProcessor
-
- getName() - Method in class edu.stanford.nlp.coref.fastneural.FastNeuralCorefDataExporter
-
- getName() - Method in class edu.stanford.nlp.ie.qe.Unit
-
- getName() - Method in class edu.stanford.nlp.ie.qe.UnitPrefix
-
- getName() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- getName() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SparseAdaGradMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.SQNMinimizer
-
- getName() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
-
- getName() - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
-
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
required string name = 1;
- getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
-
required string name = 1;
- getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
-
required string name = 1;
- getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
-
required string name = 1;
- getName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelationOrBuilder
-
required string name = 1;
- getName() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
-
- getName() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
-
Returns the full class name for the objects being produced
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required string name = 1;
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
required string name = 1;
- getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder
-
required string name = 1;
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
required string name = 1;
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge
-
required string name = 1;
- getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdgeOrBuilder
-
required string name = 1;
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
required string name = 1;
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode
-
required string name = 1;
- getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNodeOrBuilder
-
required string name = 1;
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
required string name = 1;
- getNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation
-
required string name = 1;
- getNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelationOrBuilder
-
required string name = 1;
- getNamedNode(String, SemgrexMatcher) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit
-
Used to retrieve the named node.
- getNamedNode(String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- getNamesInParagraph(CoreMap) - Method in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- getNColors(int) - Static method in class edu.stanford.nlp.ie.NERGUI
-
- getNegation(Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention
-
- getNegation(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
-
- getNegLabel() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
-
- getNegLabel() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
-
- getNeighbor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
repeated int32 neighbor = 2;
- getNeighbor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
repeated int32 neighbor = 2;
- getNeighbor(int) - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder
-
repeated int32 neighbor = 2;
- getNeighborCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
repeated int32 neighbor = 2;
- getNeighborCount() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
repeated int32 neighbor = 2;
- getNeighborCount() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder
-
repeated int32 neighbor = 2;
- getNeighborList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
repeated int32 neighbor = 2;
- getNeighborList() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor
-
repeated int32 neighbor = 2;
- getNeighborList() - Method in interface edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder
-
repeated int32 neighbor = 2;
- getNeighbors(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
Gets both parents and children nodes
- getNeighbors(V) - Method in interface edu.stanford.nlp.graph.Graph
-
- getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
required string ner = 4;
- getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
required string ner = 4;
- getNer() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
required string ner = 4;
- getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's NER tag
- getNer() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's NER tag
- getNer() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's NER tag
- getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
required string ner = 4;
- getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
required string ner = 4;
- getNerBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
required string ner = 4;
- getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's NER tag
- getNerBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's NER tag
- getNerBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's NER tag
- getNerc() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
- getNerLabelProbs(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- getNerLabelProbs(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
listing of probs
- getNerLabelProbs(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
listing of probs
- getNerLabelProbsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- getNerLabelProbsBytes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
listing of probs
- getNerLabelProbsBytes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
listing of probs
- getNerLabelProbsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- getNerLabelProbsCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
listing of probs
- getNerLabelProbsCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
listing of probs
- getNerLabelProbsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- getNerLabelProbsList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
listing of probs
- getNerLabelProbsList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
listing of probs
- getNerString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string nerString = 12;
- getNerString() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string nerString = 12;
- getNerString() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string nerString = 12;
- getNerStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string nerString = 12;
- getNerStringBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string nerString = 12;
- getNerStringBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string nerString = 12;
- getNewEnv() - Static method in class edu.stanford.nlp.ie.NumberNormalizer
-
- getNewEnv() - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- getNewInstance(PatternFactory.PatternType, CoreMap) - Static method in class edu.stanford.nlp.patterns.DataInstance
-
- getNewLineCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
-
- getNewlineToken() - Static method in class edu.stanford.nlp.process.PTBTokenizer
-
Returns the string literal inserted for newlines when the -tokenizeNLs
options is set.
- getNewSurfaceInstance(List<CoreLabel>) - Static method in class edu.stanford.nlp.patterns.DataInstance
-
- getNext() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- getNext() - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
-
- getNext() - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
-
- getNext() - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.LexerTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.TokenizerAdapter
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.WhitespaceTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.process.WordSegmentingTokenizer
-
- getNext() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
-
Internally fetches the next token.
- getNext() - Method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
-
Internally fetches the next token.
- getNextContext() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- getNextContextLen() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- getNextContextStr() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
-
- getNextDocument() - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader
-
- getNextDocument() - Method in class edu.stanford.nlp.coref.docreader.CoreNLPDocumentReader
-
- getNextDocument() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
-
- getNextToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
Get the next Token.
- getNGrams(List<T>, int, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
-
Get all sub-lists of the given list of the given sizes.
- getNgrams(List<String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
n grams for already split string.
- getNgramsFromTokens(List<CoreLabel>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
n grams for already split string.
- getNgramsString(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
-
The string is split on whitespace and the ngrams are joined with a single space
- getNmod(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- getNmod(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "nmod" grammatical relation.
- getNmods() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNode(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNode(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNode(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNode(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the node labeled with name
in the pattern.
- getNode(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNode(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNode(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
Returns the node labeled with name
in the pattern.
- getNode(IntervalTree.TreeNode<E, T>, int) - Method in class edu.stanford.nlp.util.IntervalTree
-
- getNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeByIndex(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the
first IndexedWord
in this
SemanticGraph
having the given integer index,
or throws
IllegalArgumentException
if no such node is found.
- getNodeByIndexAndCopyCount(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the
first IndexedWord
in this
SemanticGraph
having the given integer index,
or throws
IllegalArgumentException
if no such node is found.
- getNodeByIndexAndCopyCountSafe(int, int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Same as above, but returns null
if the index does not exist
(instead of throwing an exception).
- getNodeByIndexSafe(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Same as above, but returns null
if the index does not exist
(instead of throwing an exception).
- getNodeByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Returns the
first IndexedWord
in this
SemanticGraph
having the given word or
regex, or return null if no such found.
- getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
-
Returns the set of names for named nodes in this pattern.
- getNodeNames() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
-
- getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree
-
- getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraphOrBuilder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodeOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.MatchOrBuilder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- getNodePattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
-
- getNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
Just does union of keysets of maps.
- getNodes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodes(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodes(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodes(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodesOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTreeOrBuilder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- getNodeTest(String, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.pred.SsurgTestManager
-
Given the id of the test, and the match name argument, returns a new instance
of the given NodeTest, otherwise throws an exception if not available.
- getNodeText(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodeText(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodeTexts(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
-
- getNodeVector(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
-
Get the vector (distributed representation) at a particular node.
- getNonBackgroundLabels(CoreLabel) - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass
-
- getNonNested(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
-
Given a list of matches, returns all non-overlapping matches.
- getNonOverlapping(List<Match<K, V>>, Comparator<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
-
Given a list of matches, returns all non-overlapping matches.
- getNonOverlapping(List<Match<K, V>>, ToDoubleFunction<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
-
- getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<? extends T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlapping(List<? extends T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Interval<E>>, ToDoubleFunction<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNonOverlappingMaxScore(List<? extends T>, ToDoubleFunction<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
-
- getNormalized(String) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
-
- getNormalizedCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
-
This has been de-deprecated in order to reduce compilation warnings, but
really you should create a
Distribution
instead of using this method.
- getNormalizedForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- getNormalizedName() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
-
- getNormalizedName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string normalizedName = 9;
- getNormalizedName() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional string normalizedName = 9;
- getNormalizedName() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional string normalizedName = 9;
- getNormalizedNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
optional string normalizedName = 9;
- getNormalizedNameBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
optional string normalizedName = 9;
- getNormalizedNameBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
optional string normalizedName = 9;
- getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string normalizedNER = 5;
- getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string normalizedNER = 5;
- getNormalizedNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string normalizedNER = 5;
- getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's normalized NER tag
- getNormalizedNER() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's normalized NER tag
- getNormalizedNER() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's normalized NER tag
- getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
optional string normalizedNER = 5;
- getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
-
optional string normalizedNER = 5;
- getNormalizedNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.NERMentionOrBuilder
-
optional string normalizedNER = 5;
- getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
The word's normalized NER tag
- getNormalizedNERBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
The word's normalized NER tag
- getNormalizedNERBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
The word's normalized NER tag
- getNotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string notes = 4;
- getNotes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
optional string notes = 4;
- getNotes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder
-
optional string notes = 4;
- getNotes() - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- getNotesBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
optional string notes = 4;
- getNotesBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon
-
optional string notes = 4;
- getNotesBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.SsurgeonOrBuilder
-
optional string notes = 4;
- getNotNullString(String) - Static method in class edu.stanford.nlp.util.StringUtils
-
- getNotNullTrueStringRep() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
note that this does *not* return string representation of arrays, lists and
enums
- getNThreads() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- getNum() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
-
- getNumber() - Method in class edu.stanford.nlp.maxent.Experiments
-
- getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string number = 3;
- getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string number = 3;
- getNumber() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string number = 3;
- getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.RefCase
-
- getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.ContentsCase
-
- getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
- getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string number = 3;
- getNumber() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string number = 3;
- getNumber() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string number = 3;
- getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
-
- getNumber() - Method in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Sentiment
-
- getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
optional string number = 3;
- getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
optional string number = 3;
- getNumberBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMentionOrBuilder
-
optional string number = 3;
- getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
optional string number = 3;
- getNumberBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
optional string number = 3;
- getNumberBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.MentionOrBuilder
-
optional string number = 3;
- getNumberOfComponents() - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
-
- getNumberOfKeys() - Method in class edu.stanford.nlp.stats.Distribution
-
- getNumberOfTemporalExprs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getNumberOfTemporalFuncs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getNumberOfTemporals() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- getNumClasses() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
get the number of classes in the sequence model.
- getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
-
get the number of classes in the sequence model.
- getNumEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getNumEdges() - Method in interface edu.stanford.nlp.graph.Graph
-
- getNumEdges() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- getNumElements() - Method in class edu.stanford.nlp.neural.SimpleTensor
-
Total number of elements in the tensor
- getNumEpochs() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
-
- getNumericCompositeType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string numericCompositeType = 73;
- getNumericCompositeType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string numericCompositeType = 73;
- getNumericCompositeType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string numericCompositeType = 73;
- getNumericCompositeTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string numericCompositeType = 73;
- getNumericCompositeTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string numericCompositeType = 73;
- getNumericCompositeTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string numericCompositeType = 73;
- getNumericCompositeValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional uint64 numericCompositeValue = 72;
- getNumericCompositeValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional uint64 numericCompositeValue = 72;
- getNumericCompositeValue() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional uint64 numericCompositeValue = 72;
- getNumericType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string numericType = 71;
- getNumericType() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string numericType = 71;
- getNumericType() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string numericType = 71;
- getNumericTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
optional string numericType = 71;
- getNumericTypeBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
optional string numericType = 71;
- getNumericTypeBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
optional string numericType = 71;
- getNumericValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
number info
- getNumericValue() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
number info
- getNumericValue() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.TokenOrBuilder
-
number info
- getNumFeatures(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getNumLattices() - Method in class edu.stanford.nlp.parser.lexparser.LatticeXMLReader
-
- getNumNodes() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- getNumStates() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
-
- getNumTrainingExamples() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel
-
- getNumTrees(Properties, String) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- getNumValues() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
-
- getNumVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
- getNumVertices() - Method in interface edu.stanford.nlp.graph.Graph
-
- getNumWeights() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Returns the total number of weights associated with this classifier.
- getObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The surface form of the object
- getObject() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The surface form of the object
- getObject() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The surface form of the object
- getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
-
Searches for the object in the queue and returns it.
- getObjectBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The surface form of the object
- getObjectBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The surface form of the object
- getObjectBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The surface form of the object
- getObjectId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
-
- getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
inherited from ExtractionObject
- getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
inherited from ExtractionObject
- getObjectID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
inherited from ExtractionObject
- getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
inherited from ExtractionObject
- getObjectID() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
inherited from ExtractionObject
- getObjectID() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
inherited from ExtractionObject
- getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
inherited from ExtractionObject
- getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity
-
inherited from ExtractionObject
- getObjectIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.EntityOrBuilder
-
inherited from ExtractionObject
- getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
inherited from ExtractionObject
- getObjectIDBytes() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
-
inherited from ExtractionObject
- getObjectIDBytes() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationOrBuilder
-
inherited from ExtractionObject
- getObjective(AbstractStochasticCachingDiffUpdateFunction, double[], double, int[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
-
- getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
-
- getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
-
- getObjectSpan() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.KBPInput
-
- getObjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 objectSpanBegin = 6;
- getObjectSpanBegin() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
required int32 objectSpanBegin = 6;
- getObjectSpanBegin() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder
-
required int32 objectSpanBegin = 6;
- getObjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
required int32 objectSpanEnd = 7;
- getObjectSpanEnd() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator
-
required int32 objectSpanEnd = 7;
- getObjectSpanEnd() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.OperatorOrBuilder
-
required int32 objectSpanEnd = 7;
- getObjectText() - Method in class edu.stanford.nlp.ie.KBPRelationExtractor.KBPInput
-
- getObjectTokens(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- getObjectTokens(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The tokens comprising the object of the triple
- getObjectTokens(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The tokens comprising the object of the triple
- getObjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- getObjectTokensBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- getObjectTokensCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- getObjectTokensCount() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The tokens comprising the object of the triple
- getObjectTokensCount() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The tokens comprising the object of the triple
- getObjectTokensList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- getObjectTokensList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The tokens comprising the object of the triple
- getObjectTokensList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The tokens comprising the object of the triple
- getObjectTokensOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- getObjectTokensOrBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The tokens comprising the object of the triple
- getObjectTokensOrBuilder(int) - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The tokens comprising the object of the triple
- getObjectTokensOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- getObjectTokensOrBuilderList() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple
-
The tokens comprising the object of the triple
- getObjectTokensOrBuilderList() - Method in interface edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTripleOrBuilder
-
The tokens comprising the object of the triple
- getObl(String) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- getObl(String) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "obl" grammatical relation.
- getObls() - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
- getOneSmallerLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
-
- getOp() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
-
- getOp() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
-
- getOp() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
-
- getOp() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
-
- getOpenClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-