- 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];
- addAllSections(Iterable<? extends CoreNLPProtos.Section>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addAllSemgrex(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated string semgrex = 1;
- addAllSentence(Iterable<? extends CoreNLPProtos.Sentence>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addAllSentenceIndexes(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated uint32 sentenceIndexes = 4;
- addAllSentencelessToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addAllSentenceWords(Iterable<? extends CoreNLPProtos.IndexedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addAllSsurgeon(Iterable<? extends CoreNLPProtos.SsurgeonRequest.Ssurgeon>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addAllSubjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addAllTokenIndex(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
repeated uint32 tokenIndex = 1;
- addAllTreebank(Iterable<? extends CoreNLPProtos.EvaluateParserRequest.ParseResult>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addAllTrees(Iterable<? extends CoreNLPProtos.FlattenedParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addAllTsurgeon(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
repeated string tsurgeon = 2;
- addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string value = 2;
- addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated string value = 2;
- addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string value = 2;
- addAllVariableMetaData(Iterable<? extends GraphicalModelProto.MetaData>) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addAllWithSourcesAndIds(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
-
- addAllWords(Iterable<? extends CoreNLPProtos.MorphologyRequest.TaggedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addAllWords(Iterable<? extends CoreNLPProtos.MorphologyResponse.WordTagLemma>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addAllXmlContext(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- addAndGet(double) - Method in class edu.stanford.nlp.util.concurrent.AtomicDouble
-
Atomically adds the given value to the current value.
- addAnnotator(Annotator) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
- addApposition(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find apposition
- addApposition(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find apposition
- addAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 appositions = 54;
- addArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- addArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
-
- addArc(int, int, String) - Method in class edu.stanford.nlp.parser.nndep.Configuration
-
- addArg(AceEntityMention, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
-
- addArg(ExtractionObject, String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- addArg(ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
-
- addArg(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArg(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArg(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArg(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArgBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArgBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
- addArgName(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- addArgNameBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
repeated string argName = 6;
- addArgs(List<ExtractionObject>, List<String>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- addAttribute(SceneGraphImageAttribute) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
-
- addAttribute(IndexedWord) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
-
- addAttribute(SceneGraphAttribute) - Method in class edu.stanford.nlp.scenegraph.SceneGraphNode
-
- addBelongsToList(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
- addBelongsToList(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
- addBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 belongToLists = 58;
- addBiasToEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- addBinaryClassifier(L, Classifier<String, F>) - Method in class edu.stanford.nlp.classify.OneVsAllClassifier
-
- addBinaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addBinaryFeatures(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addBoundary() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- addCapitalFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- addCaseMarkerForConjunctions(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
Post-process graph and copy over case markers in case the PP-complement
is conjoined.
- addCaseMarkerInformation(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
- addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 10;
- addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token character = 19;
- addChild(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Adds the tree t at the index position among the daughters.
- addChild(Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Adds the tree t at the last index position among the daughters.
- addChild(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode
-
Adds a child in the ith location.
- addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- addChildBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChildBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
- addChildTree(Redwood.RecordHandlerTree) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
-
- addComment(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
Store a comment line with this semantic graph.
- addComponent(ConcatVectorProto.ConcatVector.Component) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponent(int, ConcatVectorProto.ConcatVector.Component) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponent(ConcatVectorProto.ConcatVector.Component.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponent(int, ConcatVectorProto.ConcatVector.Component.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponentBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addComponentBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;
- addConjInformation(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
Adds the type of conjunction to all conjunct relations.
- addConstraint(ParserConstraint) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- addConversions(CoreNLPProtos.DependencyConverterResponse.DependencyConversion) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversions(int, CoreNLPProtos.DependencyConverterResponse.DependencyConversion) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversions(CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversions(int, CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addConversionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyConverterResponse.DependencyConversion conversions = 1;
- addCopyNodes - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- addCorefChain(CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChain(int, CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChain(CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChain(int, CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChainBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefChainBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
- addCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
mention index info
- addCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 corefMentionToEntityMentionMappings = 17;
- addCounts(PrecisionRecallStats) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the counts from the given stats to the counts of this stats.
- addData(double) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
repeated double data = 2;
- addDenseConstraint(int, double[]) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer
-
This adds a constraint on the weight vector, that a certain component must be set to a dense array
- AddDep - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
Adds a new dependent node, based off of a prototype IndexedWord, with the given relation.
- AddDep(String, GrammaticalRelation, Map<String, String>, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
-
- AddDep(String, GrammaticalRelation, Map<String, String>, String, double) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddDep
-
- addDependencyPathFeatures(Counter<String>, RelationMention, EntityMention, EntityMention, List<String>, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- addDependents(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- addDependentsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string dependents = 52;
- addDeterminer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- addDimensionSize(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated int32 dimensionSize = 1;
- addDistsimFeatures(List<String>, CoreLabel, String) - Method in class edu.stanford.nlp.parser.shiftreduce.DistsimFeatureFactory
-
- addedFactor - Variable in class edu.stanford.nlp.loglinear.benchmarks.GamePlayerBenchmark.SampleState
-
- addEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
-
- addEdge(LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
-
- addEdge(CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(int, CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(int, CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdge(CoreNLPProtos.SemgrexResponse.NamedEdge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(int, CoreNLPProtos.SemgrexResponse.NamedEdge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(CoreNLPProtos.SemgrexResponse.NamedEdge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(int, CoreNLPProtos.SemgrexResponse.NamedEdge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdge(SceneGraphNode, SceneGraphNode, String) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
-
- addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- AddEdge - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
This adds a given GrammaticalRelation between
two named nodes in the graph.
- AddEdge(String, String, GrammaticalRelation) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
- AddEdge(String, String, GrammaticalRelation, double) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddEdge
-
- addEdgeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
- addEdgeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedEdge edge = 6;
- addEdgeFeatures(List<String>, State, String, String, Tree, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
Could potentially add the tags and words for the left and right
ends of the tree.
- addEdgeFeatures2(List<String>, State, String, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
This option also does not seem to help
- addEdit(SsurgeonEdit) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
- addEnhancedSentences(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
-
- addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Destructively applies different enhancements to the dependency graph.
- addEnhancements(SemanticGraph, Embedding) - Static method in class edu.stanford.nlp.trees.ud.UniversalGappingEnhancer
-
- addEnhancements(SemanticGraph, EnhancementOptions) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
Manipulates the given SemanticGraph to add enhancements.
- addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
-
- addEntailedClause(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClause(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClause(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClause(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClauseBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedClauseBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed clauses, by natural logic
- addEntailedSentence(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentence(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentence(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentence(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntailedSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The entailed sentences, by natural logic
- addEntity(AceEntity) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEntity(String, EntityMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Entity
-
- addEntity(String, EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Event
-
- addEntity(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntity(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntity(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntity(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntityBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntityBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
- addEntityMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEntityMention(CoreMap, EntityMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addEntityMention(EntityMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addEntityMentions(CoreMap, Collection<EntityMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addEntityMentions(Collection<EntityMention>) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated int32 entityMentionToCorefMentionMappings = 18;
- addEvent(AceEvent) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- addEventMention(CoreMap, EventMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addEventMention(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addEventMentions(CoreMap, Collection<EventMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addExample(List<Integer>, List<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Dataset
-
- addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Document, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Sentence, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Token, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- addExtraNSubj(SemanticGraph) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
- addExtraTrigramFeatures(List<String>, CoreLabel, CoreLabel, CoreLabel, CoreLabel, CoreLabel) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
Also did not seem to help
- addFactor(int[], int[], Function<int[], ConcatVector>) - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel
-
This is the preferred way to add factors to a graphical model.
- addFactor(ConcatVectorTable, int[]) - Method in class edu.stanford.nlp.loglinear.model.GraphicalModel
-
Creates an instantiated factor in this graph, with neighborIndices representing the neighbor variables by integer
index.
- addFactor(GraphicalModelProto.Factor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactor(int, GraphicalModelProto.Factor) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactor(GraphicalModelProto.Factor.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactor(int, GraphicalModelProto.Factor.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactorBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactorBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;
- addFactorTable(ConcatVectorProto.ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTable(int, ConcatVectorProto.ConcatVector) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTable(ConcatVectorProto.ConcatVector.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTable(int, ConcatVectorProto.ConcatVector.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTableBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFactorTableBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;
- addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- addFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
Enable an annotation feature.
- addFeature(String, double) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- addFeatureIndices(int[]) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Collection<F>) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Collection<F>, boolean) - Method in class edu.stanford.nlp.classify.Dataset
-
- addFeatures(Counter<String>, RelationMention, List<String>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
- addFeatures(Counter<String>, RelationMention, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
-
Creates all features for the datum corresponding to this relation mention
Note: this assumes binary relations where both arguments are EntityMention
- addFeatures(Collection<String>) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
-
- addFeatures(ArrayList<Pair<String, String>>, int) - Method in class edu.stanford.nlp.process.stattok.StatTokSentTrainer
-
This method adds features for building the training input for the classifier.
- addFeatures(SemanticGraph, Tree, boolean, boolean) - Method in class edu.stanford.nlp.trees.ud.UniversalDependenciesFeatureAnnotator
-
- addFileFolder(EnumMap<TregexGUI.FilterType, String>, File[]) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
Forks off a new thread to load your files based on the filters you set in the interface
- addFiles(List<String>) - Method in class edu.stanford.nlp.trees.treebank.DistributionPackage
-
Adds a listing of files to the distribution archive
- addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
-
- addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
-
- addFN(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the given number to the count of false negatives.
- addForce(Partial, Period, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
-
- addForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
-
- addFP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the given number to the count of false positives.
- addGoldMentions(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, List<List<Mention>>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- addGraph(CoreNLPProtos.DependencyGraph) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraph(int, CoreNLPProtos.DependencyGraph) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraph(CoreNLPProtos.DependencyGraph.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraph(int, CoreNLPProtos.DependencyGraph.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraphBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGraphBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph graph = 2;
- addGroup(CoreNLPProtos.TokensRegexResponse.MatchLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroup(int, CoreNLPProtos.TokensRegexResponse.MatchLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroup(CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroup(int, CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroupBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGroupBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.MatchLocation group = 3;
- addGuess(String, String, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- addGuess(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
-
- addGuess(L, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addGuess(L, L, boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addGuesses(List<L>, List<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
-
- addHighlight(JTextField, MouseEvent, MouseEvent) - Static method in class edu.stanford.nlp.trees.tregex.gui.HighlightUtils
-
Highlight the given label from the first mouse event to the second
Returns true if the highlight was successful, false otherwise.
- addHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
-
- addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.coref.data.Document
-
- addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.Document
-
- addIndvWordsFromPhrasesExceptLastAsNeg - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
For example, if positive seed dict contains "cancer" and "breast cancer" then "breast" is included as negative
- addingSingletonEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Increases the values in the first array a by b.
- addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Increases the values in this array by b.
- addInPlace(double[][], double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add the two 2d arrays and write the answer in place of m1
.
- addInPlace(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+scale*arg[k] for all keys k in
target.
- addInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+arg[k] for all keys k in arg.
- addInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of double[] target to be
target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
- addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale *
arg[u,v].
- addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v].
- addInPlace(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+
value*(num-of-times-it-occurs-in-collection) if the key is present in the arg
collection.
- addInPlace(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
- addInPlace(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
-
Sets each value of target to be target[k]+
num-of-times-it-occurs-in-collection if the key is present in the arg
collection.
- addInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
-
Increments all keys in a Counter by a specific value.
- addInstances(Collection<RVFDatum<K, V>>) - Method in class edu.stanford.nlp.classify.KNNClassifier
-
- addIntervalRelationFlags(int, boolean) - Static method in class edu.stanford.nlp.util.Interval
-
- addKBestParseTrees(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTrees(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTrees(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTrees(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKBestParseTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
- addKbpTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKbpTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The KBP triples in this sentence
- addKey(String) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- addKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated uint32 key = 1;
- addKey(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
Just add the key (empty collection, but key is in the keySet).
- addKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
-
yes, this is a weird method, but i need it.
- addKeyBytes(ByteString) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string key = 1;
- addKeyBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string key = 1;
- addLabel(L) - Method in class edu.stanford.nlp.classify.Dataset
-
- addLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
-
Adds the given Label to the List of labels for this Datum if it is not
null.
- addLabel(L) - Method in class edu.stanford.nlp.ling.BasicDocument
-
Adds the given label to the List of labels for this Document if it is not null.
- addLabelIndex(int) - Method in class edu.stanford.nlp.classify.Dataset
-
- addListener(FileTreeNode.FileTreeNodeListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
-
- addListener(MatchesPanel.MatchesPanelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
Become a listener to changes in the trees the matches panel is showing
- addListener(ListSelectionListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
-
Become a listener to changes in which tree is selected
- addListMember(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
- addListMember(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
- addListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 listMembers = 57;
- addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
-
Define a macro for rewriting a pattern in any tregex expression compiled
by this compiler.
- addMap(Map<String, Set<String>>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
-
Add all of the mappings from the specified map to the current map.
- addMatch(CoreNLPProtos.SemgrexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.SemgrexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(CoreNLPProtos.SemgrexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.SemgrexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.PatternMatch) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.PatternMatch) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.Match) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatch(CoreNLPProtos.TokensRegexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatch(int, CoreNLPProtos.TokensRegexResponse.Match.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.Match match = 1;
- addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.PatternMatch match = 1;
- addMatchBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMatchBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
repeated .edu.stanford.nlp.pipeline.TokensRegexResponse.Match match = 1;
- addMention(Mention) - Method in class edu.stanford.nlp.coref.data.SpeakerInfo
-
- addMention(Mention) - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
-
- addMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
-
- addMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
-
- addMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
-
- addMention(CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMention(int, CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMention(CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMention(int, CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMentionBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMentionBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
- addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
repeated int32 mentions = 2;
- addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
This field is for entity mentions across the document.
- addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
- addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
coref mentions for entire document *
- addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
- addMissingAnnotations(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- addMissingFinalPunctuation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
-
If a token list does not have sentence final punctuation near the
end, then automatically add the default one.
- addMod(String) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- addMod() - Method in class edu.stanford.nlp.time.TimeExpression
-
- addModApprox(String, boolean) - Method in class edu.stanford.nlp.time.SUTime.Temporal
-
- AddMorphoAnnotations - Class in edu.stanford.nlp.international.morph
-
Reads in the tree files without any kind of pre-processing.
- AddMorphoAnnotations() - Constructor for class edu.stanford.nlp.international.morph.AddMorphoAnnotations
-
- addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
Add c times the array b to array a.
- addMultInto(double[], double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
-
- addNamedEntityStrings(CoreMap, Set<String>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- addNamedNode(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonEdit
-
- addNamedNode(IndexedWord, String) - Method in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.SsurgeonPattern
-
Adds the node to the set of named nodes registered, using the given name.
- addNeighbor(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
repeated int32 neighbor = 2;
- addNerLabelProbs(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- addNerLabelProbsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
listing of probs
- addNode(CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(int, CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(int, CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNode(CoreNLPProtos.SemgrexResponse.NamedNode) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(int, CoreNLPProtos.SemgrexResponse.NamedNode) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(CoreNLPProtos.SemgrexResponse.NamedNode.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(int, CoreNLPProtos.SemgrexResponse.NamedNode.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNode(IndexedWord) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
-
- addNode(SceneGraphNode) - Method in class edu.stanford.nlp.scenegraph.SceneGraph
-
- AddNode - Class in edu.stanford.nlp.semgraph.semgrex.ssurgeon
-
- AddNode(String, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.ssurgeon.AddNode
-
- addNodeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
- addNodeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedNode node = 2;
- addNodes(CoreNLPProtos.FlattenedParseTree.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodes(int, CoreNLPProtos.FlattenedParseTree.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodes(CoreNLPProtos.FlattenedParseTree.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodes(int, CoreNLPProtos.FlattenedParseTree.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNodesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree.Node nodes = 1;
- addNonNested(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- addNonOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
-
- addNormalizedQuantitiesToEntities(List<E>, CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addNormalizedQuantitiesToEntities(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addNormalizedQuantitiesToEntities(List<E>, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
- addNormalizedQuantitiesToEntities(List<E>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities
and tags each of their constituents with a "normalizedQuantity"
label which contains the appropriate normalized string corresponding to
the full quantity.
- addObjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addObjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the object of the triple
- addOneBinaryRule(BinaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- addOnePathToGraph(List, double, int, TransducerGraph) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
-
- addOneUnaryRule(UnaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
-
- addOpenieTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOpenieTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
The OpenIE triples in the sentence
- addOperation(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
repeated string operation = 2;
- addOperationBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
repeated string operation = 2;
- addOperations(CoreNLPProtos.TsurgeonRequest.Operation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperations(int, CoreNLPProtos.TsurgeonRequest.Operation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperations(CoreNLPProtos.TsurgeonRequest.Operation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperations(int, CoreNLPProtos.TsurgeonRequest.Operation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperationsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOperationsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.TsurgeonRequest.Operation operations = 1;
- addOriginalSpan(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpan(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpan(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpan(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpanBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addOriginalSpanBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
- addORRestriction(Class, String) - Method in class edu.stanford.nlp.patterns.surface.Token
-
- addParent(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
-
- addPattern(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
repeated string pattern = 2;
- addPatternBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
repeated string pattern = 2;
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
-
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
-
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
-
- addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
-
- addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenLucene
-
- addPatWithoutPOS - Static variable in class edu.stanford.nlp.patterns.surface.SurfacePatternFactory
-
Add patterns without POS restriction as well: One of this and
usePOS4Pattern
has to be true.
- addPhrasalBranch(String, int) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
-
- addPhrase(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(String, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrase(List<String>, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrases(Collection<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPhrases(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
-
- addPositionFeatures(List<String>, State) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find predicate nominatives
- addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find predicate nominatives
- addPredicateNominatives(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 predicateNominatives = 55;
- addPredicted(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredicted(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredicted(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredicted(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredictedBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPredictedBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
repeated so you can send in kbest parses, if your parser handles that
note that this already includes a score field
- addPreprocessedTerms(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string preprocessedTerms = 53;
- addPreprocessedTermsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated string preprocessedTerms = 53;
- addPrev(int, History) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
-
- addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], double[][][][], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
Adds the List of Lists of CRFDatums to the data and labels arrays, treating
each datum as if it were its own document.
- addQuery(CoreNLPProtos.SemgrexRequest.Dependencies) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuery(int, CoreNLPProtos.SemgrexRequest.Dependencies) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuery(CoreNLPProtos.SemgrexRequest.Dependencies.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuery(int, CoreNLPProtos.SemgrexRequest.Dependencies.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQueryBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQueryBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexRequest.Dependencies query = 2;
- addQuote(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuote(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuote(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuote(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuoteBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuoteBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
- addQuotes(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotes(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotes(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotes(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addQuotesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
- addRandomBinaryMatrix(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
-
- addRandomColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
-
- addRandomUnaryMatrix(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
-
- addRef(SemanticGraph, Pattern) - Static method in class edu.stanford.nlp.trees.ud.UniversalGrammaticalStructure
-
- addReferent - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- addRelation(AceRelation) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addRelation(String, RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.Relation
-
- addRelation(CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelation(int, CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelation(CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelation(int, CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelationBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelationBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
- addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
- addRelationMention(CoreMap, RelationMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addRelationMention(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionSentence
-
- addRelationMentions(CoreMap, Collection<RelationMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addRelationship(SceneGraphImageRelationship) - Method in class edu.stanford.nlp.scenegraph.image.SceneGraphImage
-
- addRelationTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelationTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the relation of the triple
- addRelativePronoun(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find relative pronouns
- addRelativePronoun(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find relative pronouns
- addRelativePronouns(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated int32 relativePronouns = 56;
- addReln(CoreNLPProtos.SemgrexResponse.NamedRelation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addReln(int, CoreNLPProtos.SemgrexResponse.NamedRelation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addReln(CoreNLPProtos.SemgrexResponse.NamedRelation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addReln(int, CoreNLPProtos.SemgrexResponse.NamedRelation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addRelnBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addRelnBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.NamedRelation reln = 3;
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Component.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.ConcatVectorTableProto.ConcatVectorTable.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterResponse.DependencyConversion.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyEnhancerRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.FlattenedParseTree.Node.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.TaggedWord.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Match.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedEdge.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedNode.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.NamedRelation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.Match.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.MatchLocation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokensRegexResponse.PatternMatch.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
- addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
- addResult(CoreNLPProtos.SemgrexResponse.GraphResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.GraphResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(CoreNLPProtos.SemgrexResponse.GraphResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.GraphResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResult(CoreNLPProtos.SemgrexResponse.SemgrexResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.SemgrexResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(int, CoreNLPProtos.SemgrexResponse.SemgrexResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResult(CoreNLPProtos.SsurgeonResponse.SsurgeonResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResult(int, CoreNLPProtos.SsurgeonResponse.SsurgeonResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResult(CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResult(int, CoreNLPProtos.SsurgeonResponse.SsurgeonResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.GraphResult result = 1;
- addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexResponse.GraphResult.Builder
-
repeated .edu.stanford.nlp.pipeline.SemgrexResponse.SemgrexResult result = 1;
- addResultBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResultBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonResponse.SsurgeonResult result = 1;
- addResults(HttpServletRequest, HttpServletResponse) - Method in class edu.stanford.nlp.pipeline.webapp.CoreNLPServlet
-
- addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
-
Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
- addRoot(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
repeated uint32 root = 3 [packed = true];
- addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addRoot - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
-
- addRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
-
- addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
-
Add this dependency with the given count to the grammar.
- addRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
-
- addRules(SequenceMatchRules.ExtractRule<I, O>...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
-
- addScaled(Weight, float) - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
-
- addSections(CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSections(int, CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSections(CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSections(int, CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSectionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSectionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
- addSeedWords(String, Collection<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- addSemgrex(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated string semgrex = 1;
- addSemgrexBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Builder
-
repeated string semgrex = 1;
- addSentence(List<String[]>) - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
-
- addSentence(List<String[]>) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
-
- addSentence(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addSentence(ExtractionSentence) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
-
- addSentence(CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentence(int, CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentence(CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentence(int, CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
- addSentenceData(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence
-
Add sentence data for this sentence
- addSentenceIndexes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
-
repeated uint32 sentenceIndexes = 4;
- addSentencelessToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentencelessTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
-
A peculiar field, for the corner case when a Document is
serialized without any sentences.
- addSentences(CoreMap, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
-
- addSentences(List<ExtractionSentence>) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionDataSet
-
- addSentenceWords(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWords(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWords(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWords(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSentenceWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
-
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
- addSeparatorFeature(List<String>, String, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeatures(List<String>, String, CoreLabel, String, CoreLabel, String, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSeparatorFeatures(List<String>, CoreLabel, CoreLabel, State.HeadPosition, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addSparseConstraint(int, int, double) - Method in class edu.stanford.nlp.loglinear.learning.AbstractBatchOptimizer
-
This adds a constraint on the weight vector, that a certain component must be set to a sparse index=value
- addSplit(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- addSplits(FastExactAutomatonMinimizer.Block) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
-
- addSRLArcs - Static variable in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addSsurgeon(CoreNLPProtos.SsurgeonRequest.Ssurgeon) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeon(int, CoreNLPProtos.SsurgeonRequest.Ssurgeon) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeon(CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeon(int, CoreNLPProtos.SsurgeonRequest.Ssurgeon.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeonBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addSsurgeonBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.SsurgeonRequest.Ssurgeon ssurgeon = 1;
- addStatsForTree(int, int, int) - Method in class edu.stanford.nlp.parser.eval.TreebankStats.ObservedCorpusStats
-
- addSubjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSubjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
-
The tokens comprising the subject of the triple
- addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- addTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
-
- addTag(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Will return the index of a tag, adding it if it doesn't already exist
- AddTaggerToParser - Class in edu.stanford.nlp.parser.lexparser
-
A simple tool to add a tagger to the parser for reranking purposes.
- AddTaggerToParser() - Constructor for class edu.stanford.nlp.parser.lexparser.AddTaggerToParser
-
- addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
-
Adds the tagging with count to the data structures in this Lexicon.
- addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
-
Adds the tagging with count to the data structures in this Lexicon.
- addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
-
Adds the tagging with count to the data structures in this Lexicon.
- addTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndex(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
-
- addToIndex(E) - Method in class edu.stanford.nlp.util.DeltaIndex
-
- addToIndex(E) - Method in class edu.stanford.nlp.util.HashIndex
-
- addToIndex(E) - Method in interface edu.stanford.nlp.util.Index
-
Takes an Object and returns the integer index of the Object.
- addToIndexTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
-
- addToIndexUnsafe(E) - Method in class edu.stanford.nlp.util.HashIndex
-
Add the given item to the index, but without taking any locks.
- addToken(AceToken) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
-
- addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
-
optional: if this graph message is not part of a larger context,
the tokens will help reconstruct the actual sentence
- addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SemgrexRequest.Dependencies.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
-
repeated .edu.stanford.nlp.pipeline.Token token = 1;
- addTokenIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
-
repeated uint32 tokenIndex = 1;
- addToKeySet(E) - Method in class edu.stanford.nlp.stats.Distribution
-
Insures that object is in keyset (with possibly zero value)
- addTP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
-
Adds the given number to the count of true positives.
- addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
-
- addTransition(DFSATransition<T, S>) - Method in class edu.stanford.nlp.fsm.DFSAState
-
- addTreebank(CoreNLPProtos.EvaluateParserRequest.ParseResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebank(int, CoreNLPProtos.EvaluateParserRequest.ParseResult) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebank(CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebank(int, CoreNLPProtos.EvaluateParserRequest.ParseResult.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebankBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreebankBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.EvaluateParserRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.EvaluateParserRequest.ParseResult treebank = 1;
- addTreeModelListener(TreeModelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
-
- addTreeNormalizer(TreeNormalizer) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
-
Adds the given tree normalizer to this combination; the tree normalizers
are applied in the order they were added, with the first to be added being
the first to be applied.
- addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTrees(CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrees(int, CoreNLPProtos.FlattenedParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyConverterRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 2;
- addTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.FlattenedParseTree trees = 1;
- addTrigramFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addTsurgeon(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
repeated string tsurgeon = 2;
- addTsurgeonBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TsurgeonRequest.Operation.Builder
-
repeated string tsurgeon = 2;
- addUnaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addUnaryQueueFeatures(List<String>, CoreLabel, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addUnaryStackFeatures(List<String>, CoreLabel, String, String, String, String, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
-
- addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
-
- addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- addValue(String) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string value = 2;
- addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated string value = 2;
- addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string value = 2;
- addValueBytes(ByteString) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder
-
repeated string value = 2;
- addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
-
repeated string value = 2;
- addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
-
repeated string value = 2;
- addVariableMetaData(GraphicalModelProto.MetaData) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaData(int, GraphicalModelProto.MetaData) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaData(GraphicalModelProto.MetaData.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaData(int, GraphicalModelProto.MetaData.Builder) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaDataBuilder() - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVariableMetaDataBuilder(int) - Method in class edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.GraphicalModel.Builder
-
repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;
- addVectorInPlace(ConcatVector, double) - Method in class edu.stanford.nlp.loglinear.model.ConcatVector
-
This will add the vector "other" to this vector, scaling other by multiple.
- addVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
-
For adding a zero degree vertex
- addVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
-
For adding a zero degree vertex
- addVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
-
- addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
-
- addWords(CoreNLPProtos.MorphologyRequest.TaggedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(int, CoreNLPProtos.MorphologyRequest.TaggedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(CoreNLPProtos.MorphologyRequest.TaggedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(int, CoreNLPProtos.MorphologyRequest.TaggedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWords(CoreNLPProtos.MorphologyResponse.WordTagLemma) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWords(int, CoreNLPProtos.MorphologyResponse.WordTagLemma) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWords(CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWords(int, CoreNLPProtos.MorphologyResponse.WordTagLemma.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyRequest.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyRequest.TaggedWord words = 1;
- addWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MorphologyResponse.Builder
-
repeated .edu.stanford.nlp.pipeline.MorphologyResponse.WordTagLemma words = 1;
- addWordShapes(String, Set<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- addXmlContext(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- addXmlContextBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
-
Used by clean xml annotator
- addXSubj - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
-
- ADJ_MOD_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- ADJ_PRED_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- ADJECTIVAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adjectival complement" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adjectival modifier" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "adjetive modifier" grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "adjective modifier" (amod) grammatical relation.
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adjectival modifier" grammatical relation.
- AdjoinToFootNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
-
Adjoin in a tree (like in TAG), but retain the target of adjunction as the foot of the auxiliary tree.
- AdjoinToFootNode(AuxiliaryTree, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
-
- adjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- adjustBias(List<List<IN>>, DoubleUnaryOperator, double, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
-
Adjust the bias parameter to optimize some objective function.
- adjustFinalToken(List<CoreLabel>) - Static method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
-
- adjustPhrasePositions(int, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
-
Recomputes start/end phrase positions by removing SGML tag strings This is
required because ACE annotations skip over SGML tags when computing
positions in stream, hence annotations do not match with our preprocessing
positions, which count everything
- ADMath - Class in edu.stanford.nlp.math
-
The class ADMath
was created to extend the
current calculations of gradient to automatically include a calculation of the
hessian vector product with another vector v
.
- ADV_CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adverbial clause modifier" grammatical relation.
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adverbial clause modifier" grammatical relation.
- advanceLeft(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
-
- advanceRight(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
-
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "adverbial modifier" (advmod) grammatical relation.
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "adverbial modifier" grammatical relation.
- adverbSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
-
- advSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
-
- AffixDictionary - Class in edu.stanford.nlp.wordseg
-
Affixation information.
- AffixDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.AffixDictionary
-
- after(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
-
Verifies if this mention appears after the parameter in textual order
- after() - Method in class edu.stanford.nlp.ling.CoreLabel
-
Return the whitespace String after the word.
- after() - Method in interface edu.stanford.nlp.ling.HasContext
-
Return the whitespace String after the word.
- after() - Method in class edu.stanford.nlp.ling.IndexedWord
-
- after() - Method in class edu.stanford.nlp.simple.Sentence
-
The whitespace after each token in the sentence.
- after(int) - Method in class edu.stanford.nlp.simple.Sentence
-
The whitespace after this token in the sentence.
- after() - Method in class edu.stanford.nlp.simple.Token
-
- AFTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
-
- afterIsEmpty - Variable in class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor
-
Check that after() is not null and the empty string
- afterIsEmpty - Static variable in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
-
Check that after() is not null and the empty string
- AFTERNOON - Static variable in class edu.stanford.nlp.time.SUTime
-
- agenda - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
-
- AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "agent" grammatical relation.
- AGENT - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- AGENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "agent" grammatical relation.
- AGENT_PATTERN - Static variable in class edu.stanford.nlp.scenegraph.RuleBasedParser
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatTextAggregator
-
- aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
-
- AGGREGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- aggregateToTokens - Variable in class edu.stanford.nlp.ling.tokensregex.Env
-
Whether we should merge and output CoreLabels or not.
- algorithm(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
-
- algorithms() - Method in class edu.stanford.nlp.simple.Sentence
-
Return a class that can perform common algorithms on this sentence.
- aliases - Variable in class edu.stanford.nlp.quoteattribution.Person
-
- AliasMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
-
- AliasMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.AliasMatch
-
- AliasMatch - Class in edu.stanford.nlp.dcoref.sievepasses
-
- AliasMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.AliasMatch
-
- align(List<CoreMap>, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter
-
If the same set of sentences is contained in two lists, order the lists so that their sentences are in the same order (and return true).
- alignDDAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignLeft(JComponent) - Static method in class edu.stanford.nlp.trees.tregex.gui.PreferencesPanel
-
- Alignment - Class in edu.stanford.nlp.ie.pascal
-
Container class for aligning acronyms.
- Alignment(char[], char[], int[]) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
-
- Alignment(BufferedReader) - Constructor for class edu.stanford.nlp.ie.pascal.Alignment
-
- Alignment - Class in edu.stanford.nlp.semgraph.semgrex
-
Represents an alignment between a text and a hypothesis as a map from
hypothesis words to text words, along with a real-valued score and
(optionally) a justification string.
- Alignment(Map<IndexedWord, IndexedWord>, double, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Alignment
-
- alignmentDecodeThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignmentPruneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alignSentence(CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
-
Copies one sentence replicating only information necessary for SUTime
- allBrackets(Tree) - Method in class edu.stanford.nlp.trees.TreeToBracketProcessor
-
- allCandidatePhrases - Variable in class edu.stanford.nlp.patterns.ScorePatterns
-
- allEdgesInSet(Iterable<IndexedWord>, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given a set of vertices from the same graph, returns the set of all edges between these
vertices.
- allGoldMentions - Variable in class edu.stanford.nlp.dcoref.Document
-
- allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
-
- allLabels(int, Index<String>) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
-
- ALLOW_EMBEDDED_SAME - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- ALLOW_REPARSING - Static variable in class edu.stanford.nlp.dcoref.Constants
-
Whether or not the RuleBasedCorefMentionFinder can reparse a phrase to find its head
- ALLOW_REPARSING_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- allowedNERsforLabels - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- allowedTagsInitials - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
- allowReparsing - Variable in class edu.stanford.nlp.coref.md.CorefMentionFinder
-
- allPatternsDir - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
-
Cached file of all patterns for all tokens
- allPositions - Variable in class edu.stanford.nlp.coref.data.Document
-
- allPositions - Variable in class edu.stanford.nlp.dcoref.Document
-
- allPredictedMentions - Variable in class edu.stanford.nlp.dcoref.Document
-
For all mentions in a document, map mentionID to mention.
- allPronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- allPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- AllRelationMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.AllRelationMentionsAnnotation
-
- allSpans(Function<Sentence, List<E>>, int) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
Return all the spans of a sentence.
- allSpans(Function<Sentence, List<E>>) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
- allSpans() - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
-
- allTokens() - Method in class edu.stanford.nlp.ie.util.RelationTriple
-
Returns all the tokens in the extraction, in the order subject then relation then object.
- allTypedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
-
- allTypedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
-
Returns all the typed dependencies of this grammatical structure.
- allValues() - Method in class edu.stanford.nlp.util.CollectionValuedMap
-
- alpha - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
-
- alpha - Variable in class edu.stanford.nlp.stats.Gamma
-
- alphaFile - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
-
- alsoHide(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all the channels currently being printed, with the exception
of this new one
- alsoShow(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
-
Show all the channels currently being printed, in addition
to a new one
- altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- alternateTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- ALTERNATION_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation
-
ALTERNATION = 4;
- ALTERNATIVEDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- AlternativeDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
-
- altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
-
- altVal() - Method in class edu.stanford.nlp.time.Timex
-
- ALTVALUE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
-
- am - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
-
- AmbiguityClass - Class in edu.stanford.nlp.tagger.maxent
-
An ambiguity class for a word is the word by itself or its set of observed tags.
- AmbiguityClass(String, boolean, Dictionary, TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
-
- AmbiguityClasses - Class in edu.stanford.nlp.tagger.maxent
-
A collection of Ambiguity Class.
- AmbiguityClasses(TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
-
- Americanize - Class in edu.stanford.nlp.process
-
Takes a HasWord or String and returns an Americanized version of it.
- Americanize() - Constructor for class edu.stanford.nlp.process.Americanize
-
- Americanize(int) - Constructor for class edu.stanford.nlp.process.Americanize
-
Make an object for Americanizing spelling.
- americanize(String) - Static method in class edu.stanford.nlp.process.Americanize
-
Convert the spelling of a word from British to American English.
- americanize(String, boolean) - Static method in class edu.stanford.nlp.process.Americanize
-
Convert the spelling of a word from British to American English.
- AmericanizeFunction - Class in edu.stanford.nlp.process
-
- AmericanizeFunction() - Constructor for class edu.stanford.nlp.process.AmericanizeFunction
-
- AMPERSAND - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- ANALYZED - Static variable in class edu.stanford.nlp.util.LuceneFieldType
-
- ANALYZED_NO_POSITION - Static variable in class edu.stanford.nlp.util.LuceneFieldType
-
- ANALYZED_NOT_STORED - Static variable in class edu.stanford.nlp.util.LuceneFieldType
-
- ANAPHORICITY_MODEL - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
-
- anaphoricityClassifier(boolean) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
-
- anaphoricityMFE() - Static method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor
-
- anaphoricityModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
-
- anaphoricityScores - Variable in class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
-
- ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
-
Return the ancestor tree node height
nodes up from the current node.
- ANCORA_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
- ancoraFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
-
Returns a tokenizer with Ancora tokenization.
- AnCoraPOSStats - Class in edu.stanford.nlp.international.spanish.pipeline
-
A utility to build unigram part-of-speech tagging data from XML
corpus files from the AnCora corpus.
- AnCoraPOSStats(List<File>, String) - Constructor for class edu.stanford.nlp.international.spanish.pipeline.AnCoraPOSStats
-
- AnCoraProcessor - Class in edu.stanford.nlp.international.spanish.pipeline
-
A tool which accepts raw AnCora-3.0 Spanish XML files and produces
normalized / pre-processed PTB-style treebanks for use with CoreNLP
tools.
- AnCoraProcessor(List<File>, Properties) - Constructor for class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
-
- AnCoraPronounDisambiguator - Class in edu.stanford.nlp.international.spanish.process
-
A utility for preprocessing the AnCora Spanish corpus.
- AnCoraPronounDisambiguator() - Constructor for class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
-
- AnCoraPronounDisambiguator.PersonalPronounType - Enum in edu.stanford.nlp.international.spanish.process
-
- and(Trilean) - Method in class edu.stanford.nlp.util.Trilean
-
Returns the logical and of this and the other value.
- AND_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- AndExpression(List<Expression>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AndExpression
-
- andFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
-
Filter that accepts only when both filters accept (AND).
- AndPatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- AndPatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
-
- animacies - Variable in class edu.stanford.nlp.coref.data.CorefCluster
-
- animacies - Variable in class edu.stanford.nlp.dcoref.CorefCluster
-
- animaciesAgree(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
- animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
-
- animaciesAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
- animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
-
- animacy - Variable in class edu.stanford.nlp.coref.data.CorefChain.CorefMention
-
- animacy - Variable in class edu.stanford.nlp.coref.data.Mention
-
- animacy - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
-
- animacy - Variable in class edu.stanford.nlp.dcoref.Mention
-
- ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
-
- ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- ANIMACY_WORD_LIST - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- animacySet - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- ANIMATE_NOUN - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
-
- ANIMATE_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
-
- ANIMATE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
-
- animatePronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- animatePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- animatePronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- animatePronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
-
- animateWords - Variable in class edu.stanford.nlp.coref.data.Dictionaries
-
- animateWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
-
- annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- annotate(Annotation) - Method in class edu.stanford.nlp.coref.CorefSystem
-
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
-
Annotate an ExtractionDataSet with entities.
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- annotate(Annotation) - Method in interface edu.stanford.nlp.ie.machinereading.Extractor
-
Annotates the given dataset with the current model This works in place,
i.e., it adds ExtractionObject objects to the sentences in the dataset To
make sure you are not messing with gold annotation create a copy of the
ExtractionDataSet first!
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
-
- annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
-
- annotate(Annotation, int) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
-
- annotate(MatchedExpression, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- annotate(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- annotate(GraphicalModel, List<String>, ConcatVectorNamespace, Map<String, double[]>) - Static method in class edu.stanford.nlp.loglinear.benchmarks.CoNLLFeaturizer
-
- annotate(StanfordCoreNLP, Annotation) - Method in class edu.stanford.nlp.naturalli.demo.OpenIEServlet
-
Annotate a document (which is usually just a sentence).
- annotate(Annotation) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Given an Annotation, perform a task on this Annotation.
- annotate(CoreMap, AnnotationPipeline) - Static method in class edu.stanford.nlp.naturalli.Util
-
TODO(gabor) JavaDoc
- annotate(Annotation) - Method in class edu.stanford.nlp.paragraphs.ParagraphAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Run the pipeline on an input annotation.
- annotate(Iterable<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
- annotate(Iterable<Annotation>, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
- annotate(Iterable<Annotation>, int) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads.
- annotate(Iterable<Annotation>, int, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
-
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads
- annotate(Annotation) - Method in interface edu.stanford.nlp.pipeline.Annotator
-
Given an Annotation, perform a task on this Annotation.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CharniakParserAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefMentionAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DocDateAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.HybridCorefAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.KBPAnnotator
-
Annotate this document for KBP relations.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MorphaAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MWTAnnotator
-
The annotation process runs in two steps.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NumberAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RegexNERAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
-
- annotate(CoreDocument) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Annotate the CoreDocument wrapper.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
Run the pipeline on an input annotation.
- annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient
-
Run the pipeline on an input annotation.
- annotate(Iterable<Annotation>, int, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient
-
This method fires off a request to the server.
- annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient
-
The canonical entry point of the client annotator.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StatTokSentAnnotator
-
Method that performs the actual tokenization of CoreAnnotation.TextAnnotation object
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
-
Does the actual work of splitting TextAnnotation into CoreLabels,
which are then attached to the TokensAnnotation.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator
-
Given an Annotation, perform a task on this Annotation.
- annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
-
If setCountLineNumbers is set to true, we count line numbers by
telling the underlying splitter to return empty lists of tokens
and then treating those empty lists as empty lines.
- annotate(Annotation) - Method in class edu.stanford.nlp.quoteattribution.ChapterAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
-
- annotate(CoreMap) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
-
- annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.HeidelTimeKBPAnnotator
-
- annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeKBPAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.TimeAnnotator
-
- annotate(Annotation) - Method in class edu.stanford.nlp.time.TimexTreeAnnotator
-
- AnnotateAction(Map<String, String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
-
- AnnotateAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
-
- annotateChunk(CoreMap, List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with basic chunk information.
- annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunk(CoreMap, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunks(List<? extends CoreMap>, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- annotateChunkText(CoreMap, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String representing tokens in this chunks (token text separated by space)
- annotateChunkText(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates a CoreMap representing a chunk with text information
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
- annotateChunkTokens(CoreMap, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
Annotates tokens in chunk.
- ANNOTATEDPARSETREE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
-
- AnnotatedTextReader - Class in edu.stanford.nlp.patterns.surface
-
CanNOT handle overlapping labeled text (that is one token cannot belong to
multiple labels)! Note that there has to be spaces around the tags
<label> and </label> for the reader to work correctly!
- AnnotatedTextReader() - Constructor for class edu.stanford.nlp.patterns.surface.AnnotatedTextReader
-
- annotateEntityMention(CoreMap, String) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
-
- annotateForDependencyParse(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
-
- annotateGroup(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- annotateGroup(int, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
-
- AnnotateHeadFunction(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- AnnotateHeadFunction(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- annotateImpl(Annotation) - Method in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- annotateImpl(Annotation) - Method in class edu.stanford.nlp.pipeline.WebServiceAnnotator
-
Actually annotate a document with the server.
- annotateMulticlass(List<Datum<String, String>>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- annotateSentence(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
-
- annotateSentence(CoreMap, Map<CoreLabel, List<CoreLabel>>) - Method in class edu.stanford.nlp.naturalli.OpenIE
-
Annotate a single sentence.
- annotateSingleSentence(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeAnnotator
-
Helper method for people not working from a complete Annotation.
- annotateTokenCoref - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTokenNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTokenPos - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenPos - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTokenSpeaker - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTokenSpeaker - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTreeCoref - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTreeCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTreeNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
-
- annotateTreeNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
-
- annotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
-
- annotation - Variable in class edu.stanford.nlp.coref.data.Document
-
Document annotation
- annotation - Variable in class edu.stanford.nlp.coref.data.InputDoc
-
- annotation - Variable in class edu.stanford.nlp.dcoref.Document
-
Document annotation
- annotation - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
-
- Annotation - Class in edu.stanford.nlp.pipeline
-
An annotation representing a span of text in a document.
- Annotation(Annotation) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Copy constructor.
- Annotation(String) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
The text becomes the CoreAnnotations.TextAnnotation of the newly
created Annotation.
- Annotation(List<CoreMap>) - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Make a new Annotation from a List of tokenized sentences.
- Annotation() - Constructor for class edu.stanford.nlp.pipeline.Annotation
-
Deprecated.
- annotation() - Method in class edu.stanford.nlp.pipeline.CoreDocument
-
provide access to the underlying annotation if needed
- annotation() - Method in enum edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.DependenciesType
-
- Annotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.Annotation
-
- ANNOTATION_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
-
- AnnotationCreator - Interface in edu.stanford.nlp.pipeline
-
Creates a annotation from an input source
- annotationDocument - Variable in class edu.stanford.nlp.pipeline.CoreDocument
-
- AnnotationExtractRule() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
- AnnotationExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
-
- annotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
-
Annotation field to apply rule over: text or tokens or numerizedtokens
- AnnotationIterator - Class in edu.stanford.nlp.pipeline
-
Helper iterator to read a file with stored annotations
- AnnotationIterator(String) - Constructor for class edu.stanford.nlp.pipeline.AnnotationIterator
-
- AnnotationIterator(String, int) - Constructor for class edu.stanford.nlp.pipeline.AnnotationIterator
-
- AnnotationLookup - Class in edu.stanford.nlp.ling
-
Provides a mapping between CoreAnnotation keys, which are classes, and a text String that names them,
which is needed for things like text serializations and the Semgrex query language.
- AnnotationMatchedFilter(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
-
- AnnotationOutputter - Class in edu.stanford.nlp.pipeline
-
An interface for outputting CoreNLP Annotations to different output
formats.
- AnnotationOutputter() - Constructor for class edu.stanford.nlp.pipeline.AnnotationOutputter
-
- AnnotationOutputter.Options - Class in edu.stanford.nlp.pipeline
-
- AnnotationPipeline - Class in edu.stanford.nlp.pipeline
-
This class is designed to apply multiple Annotators
to an Annotation.
- AnnotationPipeline(List<Annotator>) - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
-
- AnnotationPipeline() - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
-
- annotations - Variable in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
-
This data structure dictates how an arbitrary tree should be
annotated.
- annotations - Variable in class edu.stanford.nlp.semgraph.semgrex.ssurgeon.Ssurgeon.SsurgeonArgs
-
- AnnotationSerializer - Class in edu.stanford.nlp.pipeline
-
- AnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer
-
- AnnotationSerializer.IntermediateEdge - Class in edu.stanford.nlp.pipeline
-
- AnnotationSerializer.IntermediateNode - Class in edu.stanford.nlp.pipeline
-
- AnnotationSerializer.IntermediateSemanticGraph - Class in edu.stanford.nlp.pipeline
-
- AnnotationSource - Interface in edu.stanford.nlp.pipeline
-
Data source from which annotations comes from
- annotationsToSkip - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
-
- annotationToDoc(Annotation, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
-
Converts the given annotation to an XML document using options taken from the StanfordCoreNLP pipeline
- annotationToDoc(Annotation, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
-
Converts the given annotation to an XML document using the specified options
- annotationToTmlTextElement(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
-
- annotationToXmlDocument(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
-
- AnnotationUtils - Class in edu.stanford.nlp.ie.machinereading.structure
-
Utilities to manipulate Annotations storing datasets or sentences with Machine Reading info
- Annotator - Interface in edu.stanford.nlp.pipeline
-
This is an interface for adding annotations to a partially annotated
Annotation.
- annotatorEndpoint - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- AnnotatorImplementations - Class in edu.stanford.nlp.pipeline
-
A class abstracting the implementation of various annotators.
- AnnotatorImplementations() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorImplementations
-
- AnnotatorPool - Class in edu.stanford.nlp.pipeline
-
An object for keeping track of Annotators.
- AnnotatorPool() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorPool
-
Create an empty AnnotatorPool.
- annotatorProvides - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- annotatorRequires - Variable in class edu.stanford.nlp.pipeline.GenericWebServiceAnnotator
-
- AnnotatorSignature(String, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP.AnnotatorSignature
-
- announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- anonymyizeNodes(Iterable<IndexedWord>, String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils
-
Given an iterable set of distinct vertices, creates a new mapping that maps the
original vertices to a set of "generic" versions.
- ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
-
- ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
-
- ANSWER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
-
- answerClass - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
-
- answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- answerLabel - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
-
- AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
-
- AnswerProbAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
-
- answers - Static variable in class edu.stanford.nlp.ie.util.FixLocation
-
- AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
-
- antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules
-
Is the speaker for mention the same entity as the ant entity?
- antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Is the speaker for mention the same entity as the ant entity?
- antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) - Static method in class edu.stanford.nlp.coref.CorefRules
-
The antecedent matches the speaker annotation found in the mention
- antecedentMatchesMentionSpeakerAnnotation(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
-
Is the speaker for mention the same entity as the ant entity?
- antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) - Static method in class edu.stanford.nlp.dcoref.Rules
-
The antecedent matches the speaker annotation found in the mention
- antecedentOrdering - Variable in class edu.stanford.nlp.coref.data.Mention
-
- ANY - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- ANY - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- ANY_DISTANCE_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
-
- ANY_NODE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
-
- ANY_NODE_PATTERN - Static variable in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
-
- ANY_NODE_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
-
- ANY_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- Any_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
Any = 1;
- ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
-
- AnyNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
-
- aOverAFilter - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
-
- aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
-
- AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
-
- APOSTROPHE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
-
- appearEarlierThan(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
-
Find which mention appears first in a document
- appearEarlierThan(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
-
Find which mention appears first in a document
- append(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append to the current feature name
- append(char) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector
-
Append to the current feature name
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
-
Append to replacement list our list of replacement items.
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.GroupMatchReplacement
-
Append to replacement list the matched group with the specified group id
- append(SequenceMatchResult<T>, List<T>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatcher.MatchReplacement
-
Append to replacement list.
- append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement
-
Append to replacement list the matched group with the specified group name
- append(CharSequence) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- append(CharSequence, int, int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- append(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
-
- appendCoreMap(List<T>, CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
-
- appendDateFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- appendingEntity(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePrior
-
- AppendingObjectOutputStream(OutputStream) - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer.AppendingObjectOutputStream
-
- appendLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- appendOffset(StringBuilder, int) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
-
- appendRules(List<SequenceMatchRules.Rule>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
-
Add specified rules to this extractor.
- appendTimeFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
-
- appliesNumericClassifiers() - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- apply(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
-
Maps a String input to an XML-formatted rendition of applying NER to the
String.
- apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
-
- apply(List<HasWord>) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper
-
Converts an input list of
HasWord
in IBM Arabic to
LDC ATBv3 representation.
- apply(String) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper
-
Applies escaping to a single word.
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
-
- apply(SequenceMatchResult<CoreMap>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
-
- apply(SequenceMatchResult<T>, int...) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchAction
-
- apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
-
- apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
-
- apply(MR) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
-
- apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
-
- apply(SequenceMatchResult<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
-
- apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
-
- apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
-
- apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
-
- apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
-
- apply(String) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
-
- apply(Env, List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
-
Applies the function to the list values using the environment as context
and returns the evaluated value.
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
-
- apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
-
- apply(SemanticGraph, Boolean) - Method in class edu.stanford.nlp.naturalli.ForwardEntailer
-
Create a new search problem instance, given a sentence (possibly fragment), and the corresponding
parse tree.
- apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
-
- apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
-
Parses the list of HasWord.
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
-
- apply(Pair<UnaryGrammar, BinaryGrammar>) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
-
Destructively modifies the input and returns it as a convenience.
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
-
- apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
-
- apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
-
- apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
-
Apply the given transition to the given configuration, modifying
the configuration's state in place.
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
-
Add a binary node to the existing node on top of the stack
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
-
Add a binary node to the existing node on top of the stack
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
-
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
-
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
-
Do nothing
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
-
Do nothing
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
-
Add the new preterminal to the stack, increment the queue position.
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
-
Add the new preterminal to the stack, increment the queue position.
- apply(State) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition
-
Applies this transition to get a new state.
- apply(State, double) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition
-
Applies this transition to get a new state.
- apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
-
Add a unary node to the existing node on top of the stack
- apply(List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
-
- apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize
-
Americanize the HasWord or String coming in.
- apply(String) - Method in class edu.stanford.nlp.process.AmericanizeFunction
-
- apply(String) - Method in class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
-
- apply(String) - Method in class edu.stanford.nlp.process.LowercaseFunction
-
- apply(Object) - Method in class edu.stanford.nlp.process.Morphology
-
- apply(List<IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
-
Escape a List of HasWords.
- apply(Word) - Method in class edu.stanford.nlp.process.Stemmer
-
Stems word
(which must be a Word
,
or else
a ClassCastException will be thrown, and returns stemmed
Word
.
- apply(String) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
-
- apply(String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.common.Tagger
-
- apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
-
Expects a sentence and returns a tagged sentence.
- apply(SUTime.Temporal, SUTime.Temporal, int) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(SUTime.Temporal, SUTime.Temporal) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(SUTime.Temporal...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(Object...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
-
- apply(String) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- apply(MatchResult) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
-
- apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JavaDateFormatExtractor
-
- apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
-
- apply(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank
-
Applies the TreeVisitor to to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.FilteringTreebank
-
Applies the TreeVisitor, but only to the trees that pass the
filter.
- apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.arabic.ATBEscaper
-
- apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
-
Note: At present this clobbers the input list items.
- apply(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.TraditionalSimplifiedCharacterMap
-
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank
-
Apply the TreeVisitor tp to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank
-
Applies the TreeVisitor to to all trees in the Treebank.
- apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank
-
Apply a TreeVisitor to each tree in the Treebank.
- apply(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
-
- apply(String) - Method in enum edu.stanford.nlp.util.logging.Color
-
- apply() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Apply this configuration to Redwood
- apply(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
-
Parses a properties file and applies it immediately to Redwood
- apply(RedwoodConfiguration, Redwood.RecordHandlerTree) - Method in interface edu.stanford.nlp.util.logging.RedwoodConfiguration.Thunk
-
- apply(Properties) - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration
-
Configures the Redwood logger using a reasonable set of defaults,
which can be overruled by the supplied Properties file.
- apply(String) - Method in enum edu.stanford.nlp.util.logging.Style
-
- apply(String) - Method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
-
- APPLY_NUMERIC_CLASSIFIERS_DEFAULT - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- APPLY_NUMERIC_CLASSIFIERS_PROPERTY - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
-
- ApplyDepPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.dep
-
Applying Dependency patterns to sentences.
- ApplyDepPatterns(Map<String, DataInstance>, List<String>, Map<SemgrexPattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.dep.ApplyDepPatterns
-
- applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) - Method in class edu.stanford.nlp.classify.Dataset
-
Applies feature count thresholds to the Dataset.
- applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Applies a feature count threshold to the Dataset.
- applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Applies a feature count threshold to the RVFDataset.
- applyFeatureCountThreshold(Collection<String>, int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseWordFeatureExtractor
-
- applyFeatureCountThreshold(Collection<String>, int) - Method in interface edu.stanford.nlp.parser.lexparser.WordFeatureExtractor
-
- applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
-
Applies a max feature count threshold to the Dataset.
- applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
-
Applies a feature max count threshold to the RVFDataset.
- applyNERPenalty - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- applyNumericClassifiers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
-
- applyPats(Counter<E>, String, TwoDimensionalCounter<CandidatePhrase, E>, CollectionValuedMap<E, Triple<String, Integer, Integer>>, Set<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ScorePhrases
-
- ApplyPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.surface
-
Applying SurfacePattern to sentences.
- ApplyPatterns(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatterns
-
- ApplyPatternsMulti<E extends Pattern> - Class in edu.stanford.nlp.patterns.surface
-
- ApplyPatternsMulti(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatternsMulti
-
- applyPrior(double[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
-
- applySpecializedNER(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
-
Runs a deterministic named entity classifier which is good at recognizing
numbers and money and date expressions not recognized by our statistical
NER.
- applyTo(SemanticGraph, ClauseSplitterSearchProblem.State, SemanticGraphEdge, SemanticGraphEdge, SemanticGraphEdge) - Method in interface edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.Action
-
Apply this action to the given state.
- applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
-
- applyToTruthValue(boolean) - Method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation
-
Implements the finite state automata of composing the truth value of a sentence with a natural logic relation being
applied.
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
-
The "appositional modifier" grammatical relation.
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
-
The "appositional modifier" (appos) grammatical relation (abstract).
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.ud.UniversalGrammaticalRelations
-
- APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations
-
The "appositional modifier" grammatical relation.
- appositions - Variable in class edu.stanford.nlp.coref.data.Mention
-
Set of other mentions in the same sentence that are syntactic appositions to this
- appositions - Variable in class edu.stanford.nlp.dcoref.Mention
-
Set of other mentions in the same sentence that are syntactic appositions to this
- APPOSITIONS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
-
- APPROVE_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
-
- approx - Variable in class edu.stanford.nlp.time.SUTime.Temporal
-
- approxAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- approxCombinedAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
-
- APPROXIMATE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
-
- approximate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
-
Treat durations as approximate
- APPROXIMATE - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
-
- APPROXIMATE_EQUIVALENCE_CLASSES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
-
- approximateEntityMatchScore(String, String) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
-
Approximately check if two entities are equivalent.
- ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
-
- ApproxMatch<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
-
Represents an approximate match with a cost
- ApproxMatch() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- ApproxMatch(List<K>, V, int, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double, Interval[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
-
- APRIL - Static variable in class edu.stanford.nlp.time.SUTime
-
- ARABIC - Static variable in class edu.stanford.nlp.swing.FontDetector
-
- ARABIC_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
-
list of properties files for each language
- Arabic_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language
-
Arabic = 2;
- arabicAoverAFilter(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
-
- ArabicCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
-
- arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- ArabicDocument - Class in edu.stanford.nlp.simple
-
A sentence running with the Arabic models.
- ArabicDocument(String) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Create a new document from the passed in text.
- ArabicDocument(Annotation) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Convert a CoreNLP Annotation object to a Document.
- ArabicDocument(CoreNLPProtos.Document) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Create a Document object from a read Protocol Buffer.
- ArabicDocument(Properties, String) - Constructor for class edu.stanford.nlp.simple.ArabicDocument
-
Create a new Arabic document from the passed in text and the given properties.
- ArabicDocumentReaderAndWriter - Class in edu.stanford.nlp.international.arabic.process
-
Reads newline delimited UTF-8 Arabic sentences with or without
gold segmentation markers.
- ArabicDocumentReaderAndWriter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
-
- ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation - Class in edu.stanford.nlp.international.arabic.process
-
- ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
-
- ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic
-
Find the head of an Arabic tree, using the usual kind of heuristic
head finding rules.
- ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
- ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
-
- ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
-
- ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
-
- ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic
-
Extracts morphosyntactic features from BAMA/SAMA analyses.
- ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
-
- ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic
-
Converts features specifications to labels for tagging
- arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
-
- ArabicRawTreeNormalizer(PrintWriter, PrintWriter) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
-
- ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
-
- ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
-
- ARABICSEG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
-
- ArabicSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
-
- ArabicSegmenter - Class in edu.stanford.nlp.international.arabic.process
-
Arabic word segmentation model based on conditional random fields (CRF).
- ArabicSegmenter(Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
-
Make an Arabic Segmenter.
- ArabicSegmenter(ArabicSegmenter) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
-
Copy constructor.
- ArabicSegmenterAnnotator - Class in edu.stanford.nlp.pipeline
-
This class will add segmentation information to an Annotation.
- ArabicSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
-
- ArabicSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.international.arabic.process
-
Feature factory for the IOB clitic segmentation model described by
Green and DeNero (2012).
- ArabicSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
-
- ArabicSentence - Class in edu.stanford.nlp.simple
-
- 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_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.