AbbrAnnotation() CoreAnnotations.AbbrAnnotation
abbreviation GrammaticalStructureConversionUtils.ConverterOptions
AbbreviationMap(boolean) RobustTokenizer.AbbreviationMap
Creates a new instance of AbreviationMap with some know abbreviations
AbgeneAnnotation() CoreAnnotations.AbgeneAnnotation
about() TregexGUI
aboveLineSkip TreeJPanel
absoluteDifference(Counter<E>, Counter<E>) Counters
Returns |c1 - c2|.
absolutelyDiscountedDistribution(Counter<E>, int, double) Distribution
AbstractCachingDiffFloatFunction edu.stanford.nlp.optimization
AbstractCachingDiffFloatFunction() AbstractCachingDiffFloatFunction
AbstractCachingDiffFunction edu.stanford.nlp.optimization
A differentiable function that caches the last evaluation of its value and
derivative.
AbstractCachingDiffFunction() AbstractCachingDiffFunction
AbstractCollinsHeadFinder edu.stanford.nlp.trees
A base class for a HeadFinder similar to the one described in
Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack, String...) AbstractCollinsHeadFinder
Construct a HeadFinder.
AbstractCoreLabel edu.stanford.nlp.ling
AbstractCounter E > - Class in edu.stanford.nlp.stats
Default implementations of all the convenience methods provided by
Counter.
AbstractCounter() AbstractCounter
AbstractDataset edu.stanford.nlp.trees.treebank
AbstractDataset() AbstractDataset
AbstractDataset.SplitFilter edu.stanford.nlp.trees.treebank
AbstractDependencyGrammar edu.stanford.nlp.parser.lexparser
An abstract base class for dependency grammars.
AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) AbstractDependencyGrammar
AbstractEval edu.stanford.nlp.parser.metrics
A framework for Set-based precision/recall/F1 evaluation.
AbstractEval() AbstractEval
AbstractEval(boolean) AbstractEval
AbstractEval(String) AbstractEval
AbstractEval(String, boolean) AbstractEval
AbstractEval.CatErrorEval edu.stanford.nlp.parser.metrics
This class counts which categories are over and underproposed in trees.
AbstractEval.RuleErrorEval edu.stanford.nlp.parser.metrics
AbstractEval.ScoreEval edu.stanford.nlp.parser.metrics
This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractEvaluate edu.stanford.nlp.sentiment
AbstractEvaluate(RNNOptions) AbstractEvaluate
AbstractEvaluator() EvalUtils.AbstractEvaluator
AbstractIterator E > - Class in edu.stanford.nlp.util
Iterator with remove() defined to throw an
UnsupportedOperationException.
AbstractIterator() AbstractIterator
AbstractLinearClassifierFactory L ,F > - Class in edu.stanford.nlp.classify
AbstractLinearClassifierFactory() AbstractLinearClassifierFactory
AbstractListProcessor IN ,OUT ,L ,F > - Class in edu.stanford.nlp.process
Class AbstractListProcessor
AbstractListProcessor() AbstractListProcessor
AbstractMatchCostFunction() MatchCostFunction.AbstractMatchCostFunction
AbstractSequenceClassifier IN extends CoreMap > - Class in edu.stanford.nlp.ie
This class provides common functionality for (probabilistic) sequence models.
AbstractSequenceClassifier(Properties) AbstractSequenceClassifier
Construct a SeqClassifierFlags object based on the passed in properties,
and then call the other constructor.
AbstractSequenceClassifier(SeqClassifierFlags) AbstractSequenceClassifier
Initialize the featureFactory and other variables based on the passed in
flags.
AbstractStochasticCachingDiffFunction edu.stanford.nlp.optimization
AbstractStochasticCachingDiffFunction() AbstractStochasticCachingDiffFunction
AbstractStochasticCachingDiffFunction.SamplingMethod edu.stanford.nlp.optimization
AbstractStochasticCachingDiffUpdateFunction edu.stanford.nlp.optimization
Function for stochastic calculations that does update in place
(instead of maintaining and returning the derivative).
AbstractStochasticCachingDiffUpdateFunction() AbstractStochasticCachingDiffUpdateFunction
AbstractStringAnnotationPattern() ComplexNodePattern.AbstractStringAnnotationPattern
AbstractTextAnnotationCreator edu.stanford.nlp.pipeline
Creates a stub implementation for creating annotation from
various input sources using String as the main input source
AbstractTextAnnotationCreator() AbstractTextAnnotationCreator
AbstractToken edu.stanford.nlp.ling
An abstract token.
AbstractTokenizer T > - Class in edu.stanford.nlp.process
An abstract tokenizer.
AbstractTokenizer() AbstractTokenizer
AbstractTreebankLanguagePack edu.stanford.nlp.trees
This provides an implementation of parts of the TreebankLanguagePack
API to reduce the load on fresh implementations.
AbstractTreebankLanguagePack() AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankLanguagePack(char) AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankParserParams edu.stanford.nlp.parser.lexparser
An abstract class providing a common method base from which to
complete a TreebankLangParserParams implementing class.
AbstractTreebankParserParams(TreebankLanguagePack) AbstractTreebankParserParams
Stores the passed-in TreebankLanguagePack and sets up charset encodings.
AbstractTreebankParserParams.AnnotatePunctuationFunction edu.stanford.nlp.parser.lexparser
Annotation function for mapping punctuation to PTB-style equivalence classes.
AbstractTreebankParserParams.RemoveGFSubcategoryStripper 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 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) AbstractTreeExtractor
AbstractUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
AbstractUnknownWordModelTrainer() AbstractUnknownWordModelTrainer
AbstrAnnotation() CoreAnnotations.AbstrAnnotation
accept(File) ExtensionFileFilter
Checks whether a file satisfies the selection filter.
ACCEPT Lexer
accept(File) NumberRangeFileFilter
Checks whether a file satisfies the number range selection filter.
accept(File) NumberRangesFileFilter
Checks whether a file satisfies the number range selection filter.
accept(String) NumberRangesFileFilter
Checks whether a String satisfies the number range selection filter.
accept(File) RegExFileFilter
Checks whether a file satisfies the selection filter.
accept(File) AbstractDataset.SplitFilter
acceptFilter() Filters
The acceptFilter accepts everything.
accepting DFSAState
accuracy(Iterator<RVFDatum<L, F>>) NaiveBayesClassifier
accuracy() PRCurve
Accuracy() 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) AccuracyStats
AccuracyStats(L, String) AccuracyStats
ACE2004_PROP Constants
ACE2005_PROP Constants
AceCharSeq edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE <charseq> construct.
AceCharSeq(String, int, int) AceCharSeq
Token that incorporates this whole char sequence, e.g.
AceDocument edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores the ACE elements annotated in this document
AceDocument(String) AceDocument
AceDomReader edu.stanford.nlp.ie.machinereading.domains.ace.reader
DOM reader for an ACE specification.
AceDomReader() AceDomReader
AceElement edu.stanford.nlp.ie.machinereading.domains.ace.reader
Base class for all ACE annotation elements.
AceElement(String) AceElement
AceEntity edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE <entity> construct.
AceEntity(String, String, String, String) AceEntity
AceEntityMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE <entity_mention> construct.
AceEntityMention(String, String, String, AceCharSeq, AceCharSeq) AceEntityMention
AceEvent edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE event
AceEvent(String, String, String, String, String, String, String) AceEvent
AceEventMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE event mention
AceEventMention(String, AceCharSeq, AceCharSeq) AceEventMention
AceEventMentionArgument edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceEventMentionArgument(String, AceEntityMention) AceEventMentionArgument
AceMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceMention(String, AceCharSeq) AceMention
AceMentionArgument edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceMentionArgument(String, AceEntityMention, String) AceMentionArgument
ACEMentionExtractor edu.stanford.nlp.dcoref
Extracts <COREF> mentions from a file annotated in ACE format (ACE2004, ACE2005).
ACEMentionExtractor(Dictionaries, Properties, Semantics) ACEMentionExtractor
ACEMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) ACEMentionExtractor
AceReader edu.stanford.nlp.ie.machinereading.domains.ace
Simple wrapper of Mihai's ACE code to ie.machinereading.structure objects.
AceReader() AceReader
Make an AceReader.
AceReader(StanfordCoreNLP, boolean) AceReader
AceReader(StanfordCoreNLP, boolean, String) AceReader
AceRelation edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE relation
AceRelation(String, String, String, String, String) AceRelation
AceRelationMention edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE relation mention
AceRelationMention(String, AceCharSeq, String) AceRelationMention
AceRelationMentionArgument edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceRelationMentionArgument(String, AceEntityMention) AceRelationMentionArgument
AceSentenceSegmenter edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceSentenceSegmenter() AceSentenceSegmenter
AceToken edu.stanford.nlp.ie.machinereading.domains.ace.reader
AceToken(String, String, String, String, String, String, String, int) AceToken
Constructs an AceToken from a tokenized line generated by Tokey
acos(double) SloppyMath
Compute acos very quickly by directly looking up the value.
ACRONYM RobustTokenizer
acronymCache Document
acronymCache Document
AcronymMatcher edu.stanford.nlp.util
A simple class with a variety of acronym matching utilities.
Action(Env) TokenSequenceParser
actionPerformed(ActionEvent) InputPanel
actionPerformed(ActionEvent) TregexGUI
actionPerformed(ActionEvent) TregexGUI.TransferActionListener
activate(MorphoFeatureSpecification.MorphoFeatureType) MorphoFeatureSpecification
active SequenceMatchRules.AnnotationExtractRule
activeFeatures MorphoFeatureSpecification
adaAlpha Config
Initial global learning rate for AdaGrad training
adaDeltaRho SeqClassifierFlags
adaEps Config
An epsilon value added to the denominator of the AdaGrad
expression for numerical stability
adaGrad(double, double) SimpleLinearClassifier
adaGradEps SeqClassifierFlags
adagradResetFrequency RNNTrainOptions
How many epochs between resets of the adagrad learning rates.
adapt(String, Dataset<String, String>, DocumentReaderAndWriter<IN>) CMMClassifier
adapt(ObjectBank<List<IN>>, Dataset<String, String>) CMMClassifier
adapt() 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[][]) AdaptedGaussianPriorObjectiveFunction
adaptFile SeqClassifierFlags
NER adaptation (Gaussian prior) parameters.
adaptSigma SeqClassifierFlags
adaptWeights(Dataset<L, F>, LinearClassifierFactory<L, F>) LinearClassifier
adaptWeights(double[][], GeneralDataset<L, F>) LinearClassifierFactory
Adapt classifier (adjust the mean of Gaussian prior).
add(Datum<L, F>) Dataset
add(Collection<F>, L) Dataset
add(Collection<F>, L, boolean) Dataset
add(int[], int) 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>) GeneralDataset
add(Datum<L, F>) RVFDataset
add(Datum<L, F>, String, String) RVFDataset
add(Datum<L, F>) WeightedDataset
add(Collection<F>, L) WeightedDataset
add(Datum<L, F>, float) WeightedDataset
add(Collection<F>, L, float) WeightedDataset
add(RVFDatum<L, F>, float) WeightedRVFDataset
Add a datum, with a given weight.
add(Datum<L, F>) WeightedRVFDataset add(Datum<L, F>, String, String) WeightedRVFDataset add(V, V, E) DirectedMultiGraph
adds vertices (if not already in the graph) and the edge between them
add(V, V, E) Graph
Adds vertices (if not already in the graph) and the edge between them.
add(K, NodePattern) ComplexNodePattern
add(String) PhraseTable.PhraseStringCollection
add(Expression) Expressions.ListExpression
add(double[], double) ArrayMath
add(float[], double) ArrayMath
add(Experiments) Experiments
add(Feature) Features
add(Feature) Problem
add(E) ObjectBank
Unsupported Operation.
add(Object) ReaderIteratorFactory
Adds an Object to the underlying Collection of input sources.
add(Map<String, DataInstance>, boolean) InvertedIndexByTokens
add(List<CoreLabel>, String, boolean) InvertedIndexByTokens
add(Map<String, DataInstance>, boolean) SentenceIndex
addProcessedText is true when inserting sentences for the first time
add(List<CoreLabel>, String, boolean) SentenceIndex
add(List<IN>) ObjectBankWrapper
add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) Counters
For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both.
add(Counter<E>, Collection<E>) Counters
add(Counter<E>, Counter<E>) Counters
add(Counter<E>, double) Counters
increments every key in the counter by value
add(FeatureKey) TaggerExperiments
Adds a FeatureKey to the set of known FeatureKeys.
add(int, History, int) TemplateHash
add(String) TTags
add(SUTime.Duration) JollyDayHolidays.JollyHoliday
add(SUTime.Duration) SUTime.Duration
add(SUTime.Duration) SUTime.DurationRange
add(SUTime.Duration) SUTime.DurationWithFields
add(SUTime.Duration) SUTime.DurationWithMillis
add(SUTime.Duration) SUTime.GroundedTime
add(SUTime.Duration) SUTime.InexactTime
add(SUTime.Duration) SUTime.OrdinalTime
add(SUTime.Duration) SUTime.PartialTime
add(SUTime.Duration) SUTime.Range
add(SUTime.Duration, int) SUTime.Range
add(SUTime.Duration) SUTime.RefTime
add(SUTime.Duration) SUTime.RelativeTime
add(SUTime.Duration) SUTime.SimpleTime
add(SUTime.Duration) SUTime.Time
add(SUTime.Duration) SUTime.TimeWithRange
add(int, Tree) MemoryTreebank
add(Tree) MemoryTreebank
add(E) ArrayHeap
Adds an object to the heap.
add(E) ArraySet
Adds element to set.
add(T) Beam
add(E) BinaryHeapPriorityQueue
Adds an object to the queue with the minimum priority
(Double.NEGATIVE_INFINITY).
add(E, double) 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(K, V) CollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(E) ConcurrentHashIndex
add(U, U) ConfusionMatrix
Increments the entry for this guess and gold by 1.
add(U, U, int) ConfusionMatrix
Increments the entry for this guess and gold by the given increment amount.
add(E) DeltaIndex
add(E, double) FixedPrioritiesPriorityQueue
Adds a key to the queue with the given priority.
add(E) HashIndex
Adds an object to the Index.
add(E) Heap
Adds the object to the heap.
add(E) IdentityHashSet
Adds the specified element to this set if it is not already present.
add(E) Index
add(T) IntervalTree
add(IntervalTree.TreeNode<E, T>, T) IntervalTree
add(IntervalTree.TreeNode<E, T>, T, double) IntervalTree
add(int) IntUni
add(U, V) MapList
add(U, Collection<V>) MapList
Using the iterator order of values in the value, adds the
individual elements into the list under the given key.
add(E) MaxSizeConcurrentHashSet
Adds the element if the set is not already full.
add(E, double) 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, V) TwoDimensionalCollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(K1, K2, Collection<V>) TwoDimensionalCollectionValuedMap
Adds a collection of values to the Collection mapped to by the key.
add(K1, K2) TwoDimensionalSet
ADD_FUNCTION ValueFunctions
addAll(Iterable<? extends Datum<L, F>>) GeneralDataset
Adds all Datums in the given collection of data to this dataset
addAll(Iterable<? extends Datum<L, F>>) RVFDataset
addAll(Collection<? extends String>) PhraseTable.PhraseStringCollection
addAll(List<Expression>) Expressions.ListExpression
addAll(Collection<? extends E>) ObjectBank
Unsupported Operation.
addAll(Collection<?>) ReaderIteratorFactory
Adds all Objects in Collection c to the underlying Collection of
input sources.
addAll(List<TaggedWord>) BaseLexicon
Not yet implemented.
addAll(List<TaggedWord>, double) BaseLexicon
Not yet implemented.
addAll(Collection<? extends List<IN>>) ObjectBankWrapper
addAll(Counter<E>) AbstractCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) ClassicCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) Counter
Adds the counts in the given Counter to the counts in this Counter.
addAll(IntCounter<E>) IntCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(TwoDimensionalCounterInterface<K1, K2>) TwoDimensionalCounter
addAll(K1, Counter<K2>) TwoDimensionalCounter
addAll(TwoDimensionalIntCounter<K1, K2>) TwoDimensionalIntCounter
addAll(K1, IntCounter<K2>) TwoDimensionalIntCounter
addAll(int, Collection<? extends Tree>) MemoryTreebank
addAll(Collection<T>, Iterable<? extends T>) CollectionUtils
Add all the items from an iterable to a collection.
addAll(K, Collection<V>) CollectionValuedMap
Adds the values to the Collection mapped to by the key.
addAll(Map<K, V>) CollectionValuedMap
Adds all of the mappings in m to this CollectionValuedMap.
addAll(CollectionValuedMap<K, V>) CollectionValuedMap
addAll(Collection<? extends E>) ConcurrentHashIndex
addAll(Collection<? extends E>) DeltaIndex
addAll(Collection<? extends E>) HashIndex
Adds every member of Collection to the Index.
addAll(Collection<? extends E>) Index
addAll(Iterator<? extends T>, Collection<T>) 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>) 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>) MaxSizeConcurrentHashSet
Add all the items.
addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) TwoDimensionalMap
Adds all of the entries in the other map, performing
function on them to transform the values
addAll(TwoDimensionalSet<? extends K1, ? extends K2>) TwoDimensionalSet
addAllAppositions(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
addAllArg(Iterable<? extends CoreNLPProtos.Entity>) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addAllArgName(Iterable<String>) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
addAllBelongToLists(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
addAllChild(Iterable<? extends CoreNLPProtos.ParseTree>) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addAllCorefChain(Iterable<? extends CoreNLPProtos.CorefChain>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addAllCorefMentionIndex(Iterable<? extends Integer>) CoreNLPProtos.Token.Builder
mention index info
addAllCorefMentionToEntityMentionMappings(Iterable<? extends Integer>) CoreNLPProtos.Document.Builder
repeated uint32 corefMentionToEntityMentionMappings = 17;
addAllDependents(Iterable<String>) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
addAllEdge(Iterable<? extends CoreNLPProtos.DependencyGraph.Edge>) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addAllEntailedClause(Iterable<? extends CoreNLPProtos.SentenceFragment>) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
addAllEntailedSentence(Iterable<? extends CoreNLPProtos.SentenceFragment>) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
addAllEntity(Iterable<? extends CoreNLPProtos.Entity>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addAllEntityMentionToCorefMentionMappings(Iterable<? extends Integer>) CoreNLPProtos.Document.Builder
repeated uint32 entityMentionToCorefMentionMappings = 18;
addAllInterningAndSuffixing(Collection<String>, Collection<String>, String) 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>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addAllKbpTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
addAllKey(Iterable<? extends Integer>) CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
addAllKey(Iterable<String>) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
addAllKeys(TwoDimensionalMap<? extends K1, ? extends K2, ?>) TwoDimensionalSet
Adds all the keys in the given TwoDimensionalMap.
addAllListMembers(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
addAllMacros(TregexPatternCompiler, String, String) Macros
addAllMacros(TregexPatternCompiler, BufferedReader) Macros
addAllMention(Iterable<? extends CoreNLPProtos.CorefChain.CorefMention>) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addAllMentions(Iterable<? extends Integer>) CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) CoreNLPProtos.Document.Builder
coref mentions for entire document *
addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addAllNode(Iterable<? extends CoreNLPProtos.DependencyGraph.Node>) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addAllObjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
addAllOpenieTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
addAllOriginalSpan(Iterable<? extends CoreNLPProtos.IndexedWord>) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addAllPredicateNominatives(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
addAllPreprocessedTerms(Iterable<String>) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
addAllQuote(Iterable<? extends CoreNLPProtos.Quote>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addAllQuotes(Iterable<? extends CoreNLPProtos.Quote>) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addAllRelation(Iterable<? extends CoreNLPProtos.Relation>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addAllRelationTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
addAllRelativePronouns(Iterable<? extends Integer>) CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
addAllRoot(Iterable<? extends Integer>) CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
addAllSections(Iterable<? extends CoreNLPProtos.Section>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addAllSentence(Iterable<? extends CoreNLPProtos.Sentence>) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addAllSentenceIndexes(Iterable<? extends Integer>) CoreNLPProtos.Section.Builder
repeated uint32 sentenceIndexes = 4;
addAllSentencelessToken(Iterable<? extends CoreNLPProtos.Token>) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
addAllSentenceWords(Iterable<? extends CoreNLPProtos.IndexedWord>) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addAllSubjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
addAllToken(Iterable<? extends CoreNLPProtos.Token>) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addAllTokenIndex(Iterable<? extends Integer>) CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
addAllValue(Iterable<String>) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
addAllValue(Iterable<String>) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
addAllWithSourcesAndIds(RVFDataset<L, F>) RVFDataset
addAllXmlContext(Iterable<String>) CoreNLPProtos.Token.Builder
Used by clean xml annotator
addAnnotator(Annotator) AnnotationPipeline
addApposition(Mention) Mention
Find apposition
addApposition(Mention) Mention
Find apposition
addAppositions(int) CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
addArc(Object, Object, Object, Object) TransducerGraph
addArc(TransducerGraph.Arc) TransducerGraph
addArc(int, int, String) Configuration
addArg(AceEntityMention, String) AceEventMention
addArg(ExtractionObject, String, boolean) EventMention
addArg(ExtractionObject) RelationMention
addArg(CoreNLPProtos.Entity) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(CoreNLPProtos.Entity.Builder) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity.Builder) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgName(String) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
addArgNameBytes(com.google.protobuf.ByteString) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
addArgs(List<ExtractionObject>, List<String>, boolean) EventMention
addBelongsToList(Mention) Mention
addBelongsToList(Mention) Mention
addBelongToLists(int) CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
addBiasToEmbedding SeqClassifierFlags
addBinaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) BasicFeatureFactory
addBinaryFeatures(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent) BasicFeatureFactory
addBoundary() Lattice
addCapitalFeatures SeqClassifierFlags
addCharacter(CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(int, CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(int, CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacterBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacterBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacterBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacterBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
addChild(CoreNLPProtos.ParseTree) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, Tree) Tree
Adds the tree t at the index position among the daughters.
addChild(Tree) Tree
Adds the tree t at the last index position among the daughters.
addChild(int, Tree) TreeGraphNode
Adds a child in the ith location.
addChild(LogRecordHandler) Redwood.RecordHandlerTree
addChildBuilder() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildBuilder(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildTree(Redwood.RecordHandlerTree) Redwood.RecordHandlerTree
addComment(String) SemanticGraph
Store a comment line with this semantic graph.
addConstraint(ParserConstraint) Lattice
addCopyNodes EnhancementOptions
addCorefChain(CoreNLPProtos.CorefChain) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(CoreNLPProtos.CorefChain.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefMentionIndex(int) CoreNLPProtos.Token.Builder
mention index info
addCorefMentionToEntityMentionMappings(int) CoreNLPProtos.Document.Builder
repeated uint32 corefMentionToEntityMentionMappings = 17;
addCounts(PrecisionRecallStats) PrecisionRecallStats
Adds the counts from the given stats to the counts of this stats.
addDependencyPathFeatures(Counter<String>, RelationMention, EntityMention, EntityMention, List<String>, List<String>, Logger) BasicRelationFeatureFactory
addDependents(String) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
addDependentsBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
addDeterminer AbstractDataset
addDistsimFeatures(List<String>, CoreLabel, String) DistsimFeatureFactory
addEdge(Edge) HookChart
addEdge(LatticeEdge) Lattice
addEdge(CoreNLPProtos.DependencyGraph.Edge) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(CoreNLPProtos.DependencyGraph.Edge.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) SemanticGraph
addEdge(SemanticGraphEdge) SemanticGraph
addEdgeBuilder() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdgeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdgeFeatures(List<String>, State, String, String, Tree, Tree) BasicFeatureFactory
Could potentially add the tags and words for the left and right
ends of the tree.
addEdgeFeatures2(List<String>, State, String, Tree) BasicFeatureFactory
This option also does not seem to help
addEnhancedSentences(Annotation) QuoteAttributionUtils
addEnhancements(List<TypedDependency>, EnhancementOptions) GrammaticalStructure
Destructively applies different enhancements to the dependency graph.
addEnhancements(List<TypedDependency>, EnhancementOptions) UniversalEnglishGrammaticalStructure
addEntailedClause(CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
addEntailedClause(int, CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
addEntailedClause(CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
addEntailedClause(int, CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
addEntailedClauseBuilder() CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
addEntailedClauseBuilder(int) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
addEntailedSentence(CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
addEntailedSentence(int, CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
addEntailedSentence(CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
addEntailedSentence(int, CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
addEntailedSentenceBuilder() CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
addEntailedSentenceBuilder(int) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
addEntity(AceEntity) AceDocument
addEntity(CoreNLPProtos.Entity) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(CoreNLPProtos.Entity.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityMention(AceEntityMention) AceDocument
addEntityMention(CoreMap, EntityMention) AnnotationUtils
addEntityMentions(CoreMap, Collection<EntityMention>) AnnotationUtils
addEntityMentionToCorefMentionMappings(int) CoreNLPProtos.Document.Builder
repeated uint32 entityMentionToCorefMentionMappings = 18;
addEvent(AceEvent) AceDocument
addEventMention(AceEventMention) AceDocument
addEventMention(AceEventMention) AceEntityMention
addEventMention(CoreMap, EventMention) AnnotationUtils
addEventMentions(CoreMap, Collection<EventMention>) AnnotationUtils
addExample(List<Integer>, List<Integer>) Dataset
addExtension(<any>, Type) CoreNLPProtos.Document.Builder
addExtension(<any>, Type) CoreNLPProtos.Sentence.Builder
addExtension(<any>, Type) CoreNLPProtos.Token.Builder
addExtraTrigramFeatures(List<String>, CoreLabel, CoreLabel, CoreLabel, CoreLabel, CoreLabel) BasicFeatureFactory
Also did not seem to help
addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) MorphoFeatures
addFeature(String) TregexPoweredTreebankParserParams
Enable an annotation feature.
addFeature(String, double) CandidatePhrase
addFeatureIndices(int[]) Dataset
addFeatures(Collection<F>) Dataset
addFeatures(Collection<F>, boolean) Dataset
addFeatures(Counter<String>, RelationMention, List<String>) BasicRelationFeatureFactory
addFeatures(Counter<String>, RelationMention, List<String>, Logger) 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>) CandidatePhrase
addFeatures(SemanticGraph, Tree, boolean, boolean) UniversalDependenciesFeatureAnnotator
addFileFolder(EnumMap<TregexGUI.FilterType, String>, File[]) FileTreeModel
Forks off a new thread to load your files based on the filters you set in the interface
addFiles(List<String>) DistributionPackage
Adds a listing of files to the distribution archive
addFilter(Predicate<T>) Filters.ConjFilter
addFilter(Predicate<T>) Filters.DisjFilter
addFN(int) PrecisionRecallStats
Adds the given number to the count of false negatives.
addForce(Partial, Period, int) JodaTimeUtils
addForm(String) PhraseTable.Phrase
addFP(int) PrecisionRecallStats
Adds the given number to the count of false positives.
addGoldMentions(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, List<List<Mention>>) CorefMentionFinder
addGuess(String, String, boolean) MultiClassChunkEvalStats
addGuess(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType, boolean) MultiClassChunkEvalStats
addGuess(L, L) MultiClassPrecisionRecallExtendedStats
addGuess(L, L, boolean) MultiClassPrecisionRecallExtendedStats
addGuesses(List<L>, List<L>) MultiClassPrecisionRecallExtendedStats
addHighlight(JTextField, MouseEvent, MouseEvent) HighlightUtils
Highlight the given label from the first mouse event to the second
Returns true if the highlight was successful, false otherwise.
addHook(Hook) HookChart
addIncompatible(Mention, Mention) Document
addIncompatible(Mention, Mention) Document
addIndvWordsFromPhrasesExceptLastAsNeg ConstantsAndVariables
For example, if positive seed dict contains "cancer" and "breast cancer" then "breast" is included as negative
addInPlace(double[], double) ArrayMath
Increases the values in this array by b.
addInPlace(float[], double) ArrayMath
Increases the values in this array by b.
addInPlace(Counter<E>, Counter<E>, double) Counters
Sets each value of target to be target[k]+scale*arg[k] for all keys k in
target.
addInPlace(Counter<E>, Counter<E>) Counters
Sets each value of target to be target[k]+arg[k] for all keys k in arg.
addInPlace(double[], Counter<E>, Index<E>) 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) 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>) 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) 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) Counters
For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
addInPlace(Counter<E>, Collection<E>) 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) Counters
Increments all keys in a Counter by a specific value.
addIntervalRelationFlags(int, boolean) Interval
addKBestParseTrees(CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKbpTriple(CoreNLPProtos.RelationTriple) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
addKbpTriple(int, CoreNLPProtos.RelationTriple) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
addKbpTriple(CoreNLPProtos.RelationTriple.Builder) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
addKbpTriple(int, CoreNLPProtos.RelationTriple.Builder) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
addKbpTripleBuilder() CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
addKbpTripleBuilder(int) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
addKey(int) CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
addKey(String) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
addKey(K) CollectionValuedMap
Just add the key (empty collection, but key is in the keySet).
addKey(K1) TwoDimensionalCollectionValuedMap
yes, this is a weird method, but i need it.
addKeyBytes(com.google.protobuf.ByteString) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
addLabel(L) Dataset
addLabel(LabelType) BasicDatum
Adds the given Label to the List of labels for this Datum if it is not
null.
addLabel(L) BasicDocument
Adds the given label to the List of labels for this Document if it is not null.
addLabelIndex(int) Dataset
addListener(FileTreeNode.FileTreeNodeListener) FileTreeNode
addListener(MatchesPanel.MatchesPanelListener) MatchesPanel
Become a listener to changes in the trees the matches panel is showing
addListener(ListSelectionListener) MatchesPanel
Become a listener to changes in which tree is selected
addListMember(Mention) Mention
addListMember(Mention) Mention
addListMembers(int) CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
addMacro(String, String) TregexPatternCompiler
Define a macro for rewriting a pattern in any tregex expression compiled
by this compiler.
addMap(Map<String, Set<String>>) ChineseEnglishWordMap
Add all of the mappings from the specified map to the current map.
addMention(Mention) SpeakerInfo
addMention(Mention) SpeakerInfo
addMention(AceEntityMention) AceEntity
addMention(AceEventMention) AceEvent
addMention(AceRelationMention) AceRelation
addMention(CoreNLPProtos.CorefChain.CorefMention) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(CoreNLPProtos.CorefChain.CorefMention.Builder) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention.Builder) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentions(CoreNLPProtos.NERMention) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
addMentions(int, CoreNLPProtos.NERMention) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
addMentions(CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
addMentions(int, CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
addMentions(CoreNLPProtos.NERMention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int) CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
addMentionsBuilder() CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
addMentionsBuilder(int) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
addMentionsBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsForCoref(CoreNLPProtos.Mention) CoreNLPProtos.Document.Builder
coref mentions for entire document *
addMentionsForCoref(int, CoreNLPProtos.Mention) CoreNLPProtos.Document.Builder
coref mentions for entire document *
addMentionsForCoref(CoreNLPProtos.Mention.Builder) CoreNLPProtos.Document.Builder
coref mentions for entire document *
addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) CoreNLPProtos.Document.Builder
coref mentions for entire document *
addMentionsForCoref(CoreNLPProtos.Mention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(CoreNLPProtos.Mention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder() CoreNLPProtos.Document.Builder
coref mentions for entire document *
addMentionsForCorefBuilder(int) CoreNLPProtos.Document.Builder
coref mentions for entire document *
addMentionsForCorefBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMissingAnnotations(Properties) HybridCorefProperties
addMissingFinalPunctuation TestOptions
If a token list does not have sentence final punctuation near the
end, then automatically add the default one.
addMod(String) SUTime.Temporal
addMod() TimeExpression
addModApprox(String, boolean) SUTime.Temporal
addMultInPlace(double[], double[], double) ArrayMath
Add c times the array b to array a.
addMultInto(double[], double[], double[], double) ArrayMath
addNamedEntityStrings(CoreMap, Set<String>, Set<IntPair>) CorefMentionFinder
addNode(CoreNLPProtos.DependencyGraph.Node) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(CoreNLPProtos.DependencyGraph.Node.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNonNested(T) IntervalTree
addNonOverlapping(T) IntervalTree
addNormalizedQuantitiesToEntities(List<E>, CoreMap, CoreMap) 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>) 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) QuantifiableEntityNormalizer
addNormalizedQuantitiesToEntities(List<E>, boolean, boolean) 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) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
addObjectTokens(int, CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
addObjectTokens(CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
addObjectTokens(int, CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
addObjectTokensBuilder() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
addObjectTokensBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
addOneBinaryRule(BinaryRule, Map<String, TransducerGraph>) GrammarCompactor
addOnePathToGraph(List, double, int, TransducerGraph) TransducerGraph
addOneUnaryRule(UnaryRule, Map<String, TransducerGraph>) GrammarCompactor
addOpenieTriple(CoreNLPProtos.RelationTriple) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
addOpenieTriple(int, CoreNLPProtos.RelationTriple) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
addOpenieTriple(CoreNLPProtos.RelationTriple.Builder) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
addOpenieTriple(int, CoreNLPProtos.RelationTriple.Builder) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
addOpenieTripleBuilder() CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
addOpenieTripleBuilder(int) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
addOriginalSpan(CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addORRestriction(Class, String) Token
addParent(EventMention) EventMention
addPatterns(Map<String, Map<Integer, Set<E>>>) PatternsForEachToken
addPatterns(String, Map<Integer, Set<E>>) PatternsForEachToken
addPatterns(Map<String, Map<Integer, Set<E>>>) PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) PatternsForEachTokenInMemory
addPatterns(Map<String, Map<Integer, Set<E>>>) PatternsForEachTokenInMemory
addPatWithoutPOS SurfacePatternFactory
Add patterns without POS restriction as well: One of this and
usePOS4Pattern has to be true.
addPhrase(String) PhraseTable
addPhrase(String, String) PhraseTable
addPhrase(String, String, Object) PhraseTable
addPhrase(List<String>) PhraseTable
addPhrase(List<String>, String) PhraseTable
addPhrase(List<String>, String, Object) PhraseTable
addPhrases(Collection<String>) PhraseTable
addPhrases(Map<String, String>) PhraseTable
addPositionFeatures(List<String>, State) BasicFeatureFactory
addPositions(int, int, FeatureKey) TemplateHash
addPredicateNominatives(Mention) Mention
Find predicate nominatives
addPredicateNominatives(Mention) Mention
Find predicate nominatives
addPredicateNominatives(int) CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
addPreprocessedTerms(String) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
addPreprocessedTermsBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
addPrev(int, History) TemplateHash
addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], double[][][][], int) CRFClassifier
Adds the List of Lists of CRFDatums to the data and labels arrays, treating
each datum as if it were its own document.
addQuote(CoreNLPProtos.Quote) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(CoreNLPProtos.Quote.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuotes(CoreNLPProtos.Quote) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(int, CoreNLPProtos.Quote) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(CoreNLPProtos.Quote.Builder) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(int, CoreNLPProtos.Quote.Builder) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotesBuilder() CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotesBuilder(int) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addRandomBinaryMatrix(String, String) DVModel
addRandomColors OutputHandler
addRandomUnaryMatrix(String) DVModel
addReferent EnhancementOptions
addRelation(AceRelation) AceDocument
addRelation(CoreNLPProtos.Relation) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(CoreNLPProtos.Relation.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationMention(AceRelationMention) AceDocument
addRelationMention(AceRelationMention) AceEntityMention
addRelationMention(CoreMap, RelationMention) AnnotationUtils
addRelationMentions(CoreMap, Collection<RelationMention>) AnnotationUtils
addRelationTokens(CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
addRelationTokens(int, CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
addRelationTokens(CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
addRelationTokens(int, CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
addRelationTokensBuilder() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
addRelationTokensBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
addRelativePronoun(Mention) Mention
Find relative pronouns
addRelativePronoun(Mention) Mention
Find relative pronouns
addRelativePronouns(int) CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
addRelnToNodeCoord(SemgrexPattern) CoordinationPattern
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.CorefChain.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.CorefChain.CorefMention.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.DependencyGraph.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.DependencyGraph.Edge.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.DependencyGraph.Node.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Document.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Entity.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.IndexedWord.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.MapIntString.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.MapStringString.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Mention.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.NERMention.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Operator.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.ParseTree.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Polarity.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Quote.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Relation.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.RelationTriple.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Section.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Sentence.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.SentenceFragment.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Span.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.SpeakerInfo.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Timex.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Token.Builder
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.TokenLocation.Builder
addRoot(Tree) TreeAnnotatorAndBinarizer
Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
addRoot(int) CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
addRoot(IndexedWord) SemanticGraph
addRoot AbstractDataset
addRule(BinaryRule) BinaryGrammar
addRule(IntDependency, double) MLEDependencyGrammar
Add this dependency with the given count to the grammar.
addRule(UnaryRule) UnaryGrammar
addRules(SequenceMatchRules.ExtractRule<I, O>...) SequenceMatchRules.ListExtractRule
addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) SequenceMatchRules.ListExtractRule
addScaled(Weight, float) Weight
addSections(CoreNLPProtos.Section) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(int, CoreNLPProtos.Section) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(CoreNLPProtos.Section.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(int, CoreNLPProtos.Section.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSectionsBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSectionsBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSeedWords(String, Collection<CandidatePhrase>) ConstantsAndVariables
addSentence(List<String[]>) CoNLLDocumentReader.CoNLLDocument
addSentence(List<String[]>) CoNLL2011DocumentReader.Document
addSentence(CoreMap, CoreMap) AnnotationUtils
addSentence(CoreNLPProtos.Sentence) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(CoreNLPProtos.Sentence.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceIndexes(int) CoreNLPProtos.Section.Builder
repeated uint32 sentenceIndexes = 4;
addSentencelessToken(CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
addSentencelessToken(int, CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
addSentencelessToken(CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
addSentencelessToken(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
addSentencelessTokenBuilder() CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
addSentencelessTokenBuilder(int) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
addSentences(CoreMap, List<CoreMap>) AnnotationUtils
addSentenceWords(CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSeparatorFeature(List<String>, String, State.HeadPosition) BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, State.HeadPosition) BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, boolean) BasicFeatureFactory
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, boolean) BasicFeatureFactory
addSeparatorFeatures(List<String>, String, CoreLabel, String, CoreLabel, String, int) BasicFeatureFactory
addSeparatorFeatures(List<String>, CoreLabel, CoreLabel, State.HeadPosition, State.HeadPosition) BasicFeatureFactory
addSplit(FastExactAutomatonMinimizer.Split) FastExactAutomatonMinimizer
addSplits(FastExactAutomatonMinimizer.Block) FastExactAutomatonMinimizer
addSRLArcs SemanticGraph
addSubjectTokens(CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
addSubjectTokens(int, CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
addSubjectTokens(CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
addSubjectTokens(int, CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
addSubjectTokensBuilder() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
addSubjectTokensBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
addSupported(Period, int) SUTime.CompositePartialTime
addSupported(Period, int) SUTime.PartialTime
addTag(String, Value) Tags
addTag(String) MaxentTagger
Will return the index of a tag, adding it if it doesn't already exist
addTagging(boolean, IntTaggedWord, double) BaseLexicon
Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) BaseUnknownWordModel
Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) UnknownWordModel
Adds the tagging with count to the data structures in this Lexicon.
addTemporal(SUTime.Temporal) SUTime.TimeIndex
addTemporalExpr(TimeExpression) SUTime.TimeIndex
addTemporalFunc(SUTime.Temporal) SUTime.TimeIndex
addToIndex(E) ConcurrentHashIndex
addToIndex(E) DeltaIndex
addToIndex(E) HashIndex
addToIndex(E) Index
Takes an Object and returns the integer index of the Object.
addToIndexTemporal(SUTime.Temporal) SUTime.TimeIndex
addToIndexTemporalExpr(TimeExpression) SUTime.TimeIndex
addToIndexTemporalFunc(SUTime.Temporal) SUTime.TimeIndex
addToIndexUnsafe(E) HashIndex
Add the given item to the index, but without taking any locks.
addToken(AceToken) AceDocument
addToken(CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenIndex(int) CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
addToKeySet(E) Distribution
Insures that object is in keyset (with possibly zero value)
addTP(int) PrecisionRecallStats
Adds the given number to the count of true positives.
addTransformer(TreeTransformer) CompositeTreeTransformer
addTransition(DFSATransition<T, S>) DFSAState
addTreeModelListener(TreeModelListener) FileTreeModel
addTreeNormalizer(TreeNormalizer) 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.
addTrigramFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) BasicFeatureFactory
addUnaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent) BasicFeatureFactory
addUnaryQueueFeatures(List<String>, CoreLabel, String) BasicFeatureFactory
addUnaryStackFeatures(List<String>, CoreLabel, String, String, String, String, String) BasicFeatureFactory
addUnsupported(Period, int) SUTime.CompositePartialTime
addUnsupported(Period, int) SUTime.PartialTime
addValue(String) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
addValue(String) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
addValueBytes(com.google.protobuf.ByteString) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
addValueBytes(com.google.protobuf.ByteString) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
addVertex(V) DirectedMultiGraph
For adding a zero degree vertex
addVertex(V) Graph
For adding a zero degree vertex
addVertex(IndexedWord) SemanticGraph
addVThatTaking(String) Dictionary
addWordShapes(String, Set<CandidatePhrase>) ConstantsAndVariables
addXmlContext(String) CoreNLPProtos.Token.Builder
Used by clean xml annotator
addXmlContextBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
Used by clean xml annotator
addXSubj EnhancementOptions
ADJECTIVAL_COMPLEMENT EnglishGrammaticalRelations
The "adjectival complement" grammatical relation.
ADJECTIVAL_MODIFIER EnglishGrammaticalRelations
The "adjectival modifier" grammatical relation.
ADJECTIVAL_MODIFIER ChineseGrammaticalRelations
The "adjetive modifier" grammatical relation.
ADJECTIVAL_MODIFIER UniversalChineseGrammaticalRelations
The "adjective modifier" (amod) grammatical relation.
ADJECTIVAL_MODIFIER UniversalEnglishGrammaticalRelations
The "adjectival modifier" grammatical relation.
AdjoinToFootNode 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) AdjoinToFootNode
adjSuffix(String) FrenchUnknownWordSignatures
adjustBias(List<List<IN>>, DoubleUnaryOperator, double, double) CRFBiasedClassifier
Adjust the bias parameter to optimize some objective function.
adjustPhrasePositions(int, String) 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 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 UniversalChineseGrammaticalRelations
ADV_CLAUSE_MODIFIER EnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
ADV_CLAUSE_MODIFIER UniversalEnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
advanceLeft(boolean[]) OutsideRuleFilter
advanceRight(boolean[]) OutsideRuleFilter
ADVERBIAL_MODIFIER EnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER ChineseGrammaticalRelations
The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER UniversalChineseGrammaticalRelations
The "adverbial modifier" (advmod) grammatical relation.
ADVERBIAL_MODIFIER UniversalEnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
adverbSuffix(String) SpanishUnknownWordSignatures
advSuffix(String) FrenchUnknownWordSignatures
AffixDictionary edu.stanford.nlp.wordseg
Affixation information.
AffixDictionary(String) AffixDictionary
after(AceEntityMention) AceEntityMention
Verifies if this mention appears after the parameter in textual order
after() CoreLabel
Return the whitespace String after the word.
after() HasContext
Return the whitespace String after the word.
after() IndexedWord
after() Sentence
The whitespace after each token in the sentence.
after(int) Sentence
The whitespace after this token in the sentence.
after() Token
AFTER_FIELD_NUMBER CoreNLPProtos.Token
AfterAnnotation() CoreAnnotations.AfterAnnotation
AFTERNOON SUTime
agenda BiLexPCFGParser
AGENT EnglishGrammaticalRelations
The "agent" grammatical relation.
AGENT UniversalEnglishGrammaticalRelations
The "agent" grammatical relation.
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatCoreMapListAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatListAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.ConcatTextAggregator
aggregate(Class, List<? extends CoreMap>) CoreMapAttributeAggregator.MostFreqAggregator
AGGREGATE_FUNCTION ValueFunctions
aggregateToTokens Env
Whether we should merge and output CoreLabels or not.
algorithm(Properties) CorefProperties
algorithms() Sentence
Return a class that can perform common algorithms on this sentence.
aliases Person
AliasMatch edu.stanford.nlp.coref.hybrid.sieve
AliasMatch() AliasMatch
AliasMatch edu.stanford.nlp.dcoref.sievepasses
AliasMatch() AliasMatch
align(List<CoreMap>, List<CoreMap>) 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 SeqClassifierFlags
alignLeft(JComponent) PreferencesPanel
Alignment 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) Alignment
alignmentDecodeThreshold SeqClassifierFlags
alignmentPruneThreshold SeqClassifierFlags
alignSentence(CoreMap) NumberSequenceClassifier
Copies one sentence replicating only information necessary for SUTime
allCandidatePhrases ScorePatterns
allEdgesInSet(Iterable<IndexedWord>, SemanticGraph) SemanticGraphUtils
Given a set of vertices from the same graph, returns the set of all edges between these
vertices.
allGoldMentions Document
allIndices AbstractStochasticCachingDiffFunction
allLabels(int, Index<String>) CRFClassifier
ALLOW_EMBEDDED_SAME QuoteAnnotator
ALLOW_REPARSING Constants
Whether or not the RuleBasedCorefMentionFinder can reparse a phrase to find its head
ALLOW_REPARSING_PROP Constants
allowedNERsforLabels ConstantsAndVariables
allowedTagsInitials ConstantsAndVariables
allowReparsing CorefMentionFinder
allPatternsDir ConstantsAndVariables
Cached file of all patterns for all tokens
allPositions Document
allPositions Document
allPredictedMentions Document
For all mentions in a document, map mentionID to mention.
allPronouns Dictionaries
allPronouns Dictionaries
AllRelationMentionsAnnotation() MachineReadingAnnotations.AllRelationMentionsAnnotation
allSpans(Function<Sentence, List<E>>, int) SentenceAlgorithms
Return all the spans of a sentence.
allSpans(Function<Sentence, List<E>>) SentenceAlgorithms
allSpans() SentenceAlgorithms
allTokens() RelationTriple
Returns all the tokens in the extraction, in the order subject then relation then object.
allTypedDependencies GrammaticalStructure
allTypedDependencies() GrammaticalStructure
Returns all the typed dependencies of this grammatical structure.
allValues() CollectionValuedMap
alpha SGDWithAdaGradAndFOBOS
alphaFile SVMLightClassifierFactory
alsoHide(Object) VisibilityHandler
Show all the channels currently being printed, with the exception
of this new one
alsoShow(Object) VisibilityHandler
Show all the channels currently being printed, in addition
to a new one
altAnswerFile SeqClassifierFlags
alternateTraining SeqClassifierFlags
ALTERNATION_VALUE CoreNLPProtos.NaturalLogicRelation
ALTERNATION = 4;
ALTERNATIVEDEPENDENCIES_FIELD_NUMBER CoreNLPProtos.Sentence
AlternativeDependenciesAnnotation() SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
altTag MorphoFeatures
altVal() Timex
ALTVALUE_FIELD_NUMBER CoreNLPProtos.Timex
am HTKLatticeReader.LatticeWord
AmbiguityClass 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) AmbiguityClass
AmbiguityClasses edu.stanford.nlp.tagger.maxent
A collection of Ambiguity Class.
AmbiguityClasses(TTags) AmbiguityClasses
Americanize edu.stanford.nlp.process
Takes a HasWord or String and returns an Americanized version of it.
Americanize() Americanize
Americanize(int) Americanize
Make an object for Americanizing spelling.
americanize(String) Americanize
Convert the spelling of a word from British to American English.
americanize(String, boolean) Americanize
Convert the spelling of a word from British to American English.
AmericanizeFunction edu.stanford.nlp.process
AmericanizeFunction() AmericanizeFunction
AMPERSAND RobustTokenizer
ANAPHORICITY_MODEL StatisticalCorefTrainer
anaphoricityClassifier(boolean) MetaFeatureExtractor.Builder
anaphoricityMFE() MetaFeatureExtractor
anaphoricityModelPath(Properties) StatisticalCorefProperties
anaphoricityScores ClustererDataLoader.ClustererDoc
ancestor(int, Tree) Tree
Return the ancestor tree node height nodes up from the current node.
ANCORA_OPTIONS SpanishTokenizer
ancoraFactory() SpanishTokenizer
Returns a tokenizer with Ancora tokenization.
AnCoraProcessor 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) AnCoraProcessor
AnCoraPronounDisambiguator edu.stanford.nlp.international.spanish.process
A utility for preprocessing the AnCora Spanish corpus.
AnCoraPronounDisambiguator() AnCoraPronounDisambiguator
AnCoraPronounDisambiguator.PersonalPronounType edu.stanford.nlp.international.spanish.process
and(Trilean) Trilean
Returns the logical and of this and the other value.
AND_FUNCTION ValueFunctions
AndExpression(List<Expression>) Expressions.AndExpression
andFilter(Predicate<E>, Predicate<E>) Filters
Filter that accepts only when both filters accept (AND).
AndPatternExpr(List<SequencePattern.PatternExpr>) SequencePattern.AndPatternExpr
AndPatternExpr(SequencePattern.PatternExpr...) SequencePattern.AndPatternExpr
animacies CorefCluster
animacies CorefCluster
animaciesAgree(Mention) Mention
animaciesAgree(Mention, boolean) Mention
animaciesAgree(Mention) Mention
animaciesAgree(Mention, boolean) Mention
animacy CorefChain.CorefMention
animacy Mention
animacy CorefChain.CorefMention
animacy Mention
ANIMACY_FIELD_NUMBER CoreNLPProtos.CorefChain.CorefMention
ANIMACY_FIELD_NUMBER CoreNLPProtos.Mention
ANIMACY_WORD_LIST QuoteAttributionAnnotator
animacySet Sieve
ANIMATE_NOUN Sieve
ANIMATE_PROP HybridCorefProperties
ANIMATE_PROP Constants
animatePronouns Dictionaries
animatePronouns Dictionaries
animatePronounsEn WordLists
animatePronounsZh WordLists
animateWords Dictionaries
animateWords Dictionaries
annealingRate SeqClassifierFlags
annealingType SeqClassifierFlags
annotate(Annotation) CorefSystem
annotate(Annotation) BasicEntityExtractor
Annotate an ExtractionDataSet with entities.
annotate(Annotation) BasicRelationExtractor
annotate(Annotation) 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) ExtractorMerger
annotate(Annotation) MachineReading
annotate(Annotation, int) MachineReading
annotate(MatchedExpression, List<? extends CoreMap>) MatchedExpression.SingleAnnotationExtractor
annotate(MatchedExpression) MatchedExpression.SingleAnnotationExtractor
annotate(Annotation) OpenIE
Given an Annotation, perform a task on this Annotation.
annotate(CoreMap, AnnotationPipeline) Util
TODO(gabor) JavaDoc
annotate(Annotation) ParagraphAnnotator
annotate(Annotation) AnnotationPipeline
Run the pipeline on an input annotation.
annotate(Iterable<Annotation>) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
annotate(Iterable<Annotation>, Consumer<Annotation>) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
all available cores.
annotate(Iterable<Annotation>, int) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads.
annotate(Iterable<Annotation>, int, Consumer<Annotation>) AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of
threads given in numThreads
annotate(Annotation) Annotator
Given an Annotation, perform a task on this Annotation.
annotate(Annotation) ArabicSegmenterAnnotator
annotate(Annotation) BinarizerAnnotator
annotate(Annotation) CharniakParserAnnotator
annotate(Annotation) ChineseSegmenterAnnotator
annotate(Annotation) CleanXmlAnnotator
annotate(Annotation) ColumnDataClassifierAnnotator
annotate(Annotation) CorefAnnotator
annotate(Annotation) CorefMentionAnnotator
annotate(Annotation) DeterministicCorefAnnotator
annotate(Annotation) EntityMentionsAnnotator
annotate(Annotation) GenderAnnotator
annotate(Annotation) KBPAnnotator
Annotate this document for KBP relations.
annotate(Annotation) MorphaAnnotator
annotate(Annotation) NERCombinerAnnotator
annotate(Annotation) NumberAnnotator
annotate(Annotation) POSTaggerAnnotator
annotate(Annotation) QuantifiableEntityNormalizingAnnotator
annotate(Annotation) QuoteAnnotator
annotate(Annotation) QuoteAttributionAnnotator
annotate(Annotation) RegexNERAnnotator
annotate(Annotation) RelationExtractorAnnotator
annotate(Annotation) SentenceAnnotator
annotate(Annotation) SentimentAnnotator
annotate(CoreDocument) StanfordCoreNLP
annotate the CoreDocument wrapper
annotate(Annotation) StanfordCoreNLP
Run the pipeline on an input annotation.
annotate(Annotation, Consumer<Annotation>) StanfordCoreNLP
annotate(Annotation) StanfordCoreNLPClient
Run the pipeline on an input annotation.
annotate(Iterable<Annotation>, int, Consumer<Annotation>) StanfordCoreNLPClient
This method fires off a request to the server.
annotate(Annotation, Consumer<Annotation>) StanfordCoreNLPClient
The canonical entry point of the client annotator.
annotate(Annotation) TokenizerAnnotator
Does the actual work of splitting TextAnnotation into CoreLabels,
which are then attached to the TokensAnnotation.
annotate(Annotation) TokensRegexAnnotator
annotate(Annotation) TokensRegexNERAnnotator
annotate(Annotation) TrueCaseAnnotator
annotate(Annotation) 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) ChapterAnnotator
annotate(Annotation) GUTimeAnnotator
annotate(CoreMap) GUTimeAnnotator
annotate(Annotation) HeidelTimeAnnotator
annotate(CoreMap) HeidelTimeAnnotator
annotate(Annotation) TimeAnnotator
AnnotateAction(Map<String, String>) CoreMapSequenceMatchAction.AnnotateAction
AnnotateAction(Env) TokenSequenceParser
annotateChunk(CoreMap, List<CoreLabel>, int, int, int) ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with basic chunk information.
annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) ChunkAnnotationUtils
annotateChunk(CoreMap, Map<String, String>) ChunkAnnotationUtils
annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) ChunkAnnotationUtils
annotateChunks(List<? extends CoreMap>, Map<String, String>) ChunkAnnotationUtils
annotateChunkText(CoreMap, Class) 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) 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) ChunkAnnotationUtils
Annotates tokens in chunk.
ANNOTATEDPARSETREE_FIELD_NUMBER CoreNLPProtos.Sentence
AnnotatedTextReader 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
and for the reader to work correctly!
AnnotatedTextReader() AnnotatedTextReader
annotateEntityMention(CoreMap, String) GenderAnnotator
annotateForDependencyParse(Annotation) QuoteAttributionUtils
annotateGroup(Map<String, String>) CoreMapSequenceMatcher
annotateGroup(int, Map<String, String>) CoreMapSequenceMatcher
AnnotateHeadFunction(HeadFinder) TregexPoweredTreebankParserParams.AnnotateHeadFunction
AnnotateHeadFunction(HeadFinder, boolean) TregexPoweredTreebankParserParams.AnnotateHeadFunction
annotateMulticlass(List<Datum<String, String>>) BasicRelationExtractor
AnnotatePunctuationFunction(String, String) AbstractTreebankParserParams.AnnotatePunctuationFunction
annotateSentence(CoreMap) BasicRelationExtractor
annotateSentence(CoreMap, Map<CoreLabel, List<CoreLabel>>) OpenIE
Annotate a single sentence.
annotateSingleSentence(CoreMap, String, SUTime.TimeIndex) TimeAnnotator
Helper method for people not working from a complete Annotation.
annotateTokenCoref CoNLLDocumentReader.Options
annotateTokenCoref CoNLL2011DocumentReader.Options
annotateTokenNer CoNLLDocumentReader.Options
annotateTokenNer CoNLL2011DocumentReader.Options
annotateTokenPos CoNLLDocumentReader.Options
annotateTokenPos CoNLL2011DocumentReader.Options
annotateTokenSpeaker CoNLLDocumentReader.Options
annotateTokenSpeaker CoNLL2011DocumentReader.Options
annotateTreeCoref CoNLLDocumentReader.Options
annotateTreeCoref CoNLL2011DocumentReader.Options
annotateTreeNer CoNLLDocumentReader.Options
annotateTreeNer CoNLL2011DocumentReader.Options
annotateTrees(List<Tree>) TreebankAnnotator
annotation Document
Document annotation
annotation InputDoc
annotation Document
Document annotation
annotation MatchedExpression
Annotation edu.stanford.nlp.pipeline
An annotation representing a span of text in a document.
Annotation(Annotation) Annotation
Copy constructor.
Annotation(String) Annotation
The text becomes the CoreAnnotations.TextAnnotation of the newly
created Annotation.
Annotation(List<CoreMap>) Annotation
Make a new Annotation from a List of tokenized sentences.
Annotation() Annotation
Deprecated.
annotation() CoreDocument
provide access to the underlying annotation if needed
Annotation() TimeExpression.Annotation
ANNOTATION_FUNCTION ValueFunctions
AnnotationCreator edu.stanford.nlp.pipeline
Creates a annotation from an input source
annotationDocument CoreDocument
AnnotationExtractRule() SequenceMatchRules.AnnotationExtractRule
AnnotationExtractRuleCreator() SequenceMatchRules.AnnotationExtractRuleCreator
annotationField SequenceMatchRules.AnnotationExtractRule
Annotation field to apply rule over: text or tokens or numerizedtokens
AnnotationLookup 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) SequenceMatchRules.AnnotationMatchedFilter
AnnotationOutputter edu.stanford.nlp.pipeline
An interface for outputting CoreNLP Annotations to different output
formats.
AnnotationOutputter() AnnotationOutputter
AnnotationOutputter.Options edu.stanford.nlp.pipeline
AnnotationPipeline edu.stanford.nlp.pipeline
This class is designed to apply multiple Annotators
to an Annotation.
AnnotationPipeline(List<Annotator>) AnnotationPipeline
AnnotationPipeline() AnnotationPipeline
annotations TregexPoweredTreebankParserParams
This data structure dictates how an arbitrary tree should be
annotated.
AnnotationSerializer edu.stanford.nlp.pipeline
AnnotationSerializer() AnnotationSerializer
AnnotationSerializer.IntermediateEdge edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateNode edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateSemanticGraph edu.stanford.nlp.pipeline
annotationsToSkip BasicEntityExtractor
annotationToDoc(Annotation, StanfordCoreNLP) XMLOutputter
Converts the given annotation to an XML document using options taken from the StanfordCoreNLP pipeline
annotationToDoc(Annotation, AnnotationOutputter.Options) XMLOutputter
Converts the given annotation to an XML document using the specified options
annotationToTmlTextElement(Annotation) SUTimeMain
annotationToXmlDocument(Annotation) SUTimeMain
AnnotationUtils edu.stanford.nlp.ie.machinereading.structure
Utilities to manipulate Annotations storing datasets or sentences with Machine Reading info
Annotator edu.stanford.nlp.pipeline
This is an interface for adding annotations to a partially annotated
Annotation.
AnnotatorImplementations edu.stanford.nlp.pipeline
A class abstracting the implementation of various annotators.
AnnotatorImplementations() AnnotatorImplementations
AnnotatorPool edu.stanford.nlp.pipeline
An object for keeping track of Annotators.
AnnotatorPool() AnnotatorPool
Create an empty AnnotatorPool.
AnnotatorSignature(String, String) StanfordCoreNLP.AnnotatorSignature
announceObjectBankEntries SeqClassifierFlags
anonymyizeNodes(Iterable<IndexedWord>, String) SemanticGraphUtils
GIven an iterable set of distinct vertices, creates a new mapping that maps the
original vertices to a set of "generic" versions.
ansiCode Color
ansiCode Style
ANSWER_FIELD_NUMBER CoreNLPProtos.Token
AnswerAnnotation() CoreAnnotations.AnswerAnnotation
answerClass LearnImportantFeatures
answerFile SeqClassifierFlags
answerLabel LearnImportantFeatures
AnswerObjectAnnotation() CoreAnnotations.AnswerObjectAnnotation
AntecedentAnnotation() CoreAnnotations.AntecedentAnnotation
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) CorefRules
Is the speaker for mention the same entity as the ant entity?
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) Rules
Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) CorefRules
The antecedent matches the speaker annotation found in the mention
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention) Rules
Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) Rules
The antecedent matches the speaker annotation found in the mention
antecedentOrdering Mention
ANY RobustTokenizer
ANY IntTaggedWord
ANY_DISTANCE_INT IntDependency
ANY_NODE NodePattern
ANY_NODE_PATTERN TokenSequencePattern
ANY_NODE_PATTERN_EXPR SequencePattern
ANY_TAG_INT IntTaggedWord
Any_VALUE CoreNLPProtos.Language
Any = 1;
ANY_WORD_INT IntTaggedWord
AnyNodePattern() NodePattern.AnyNodePattern
aOverAFilter ATBArabicDataset.ArabicRawTreeNormalizer
aOverAFilter BobChrisTreeNormalizer
AOverAFilter() BobChrisTreeNormalizer.AOverAFilter
APOSTROPHE RobustTokenizer
appearEarlierThan(Mention) Mention
Find which mention appears first in a document
appearEarlierThan(Mention) Mention
Find which mention appears first in a document
append(SequenceMatchResult<T>, List) SequenceMatcher.BasicMatchReplacement
Append to replacement list our list of replacement items
append(SequenceMatchResult<T>, List) SequenceMatcher.GroupMatchReplacement
Append to replacement list the matched group with the specified group id
append(SequenceMatchResult<T>, List) SequenceMatcher.MatchReplacement
Append to replacement list
append(SequenceMatchResult<T>, List) SequenceMatcher.NamedGroupMatchReplacement
Append to replacement list the matched group with the specified group name
append(CharSequence) RedwoodPrintStream
append(CharSequence, int, int) RedwoodPrintStream
append(char) RedwoodPrintStream
appendCoreMap(List<T>, CoreMap, String, int, int, CoreTokenFactory<T>) ChunkAnnotationUtils
appendDateFormats(DateTimeFormatterBuilder, int) SUTime.PartialTime
AppendingObjectOutputStream(OutputStream) GenericAnnotationSerializer.AppendingObjectOutputStream
appendLC SeqClassifierFlags
appendOffset(StringBuffer, int) AceElement
appendRules(List<SequenceMatchRules.Rule>) CoreMapExpressionExtractor
Add specified rules to this extractor.
appendTimeFormats(DateTimeFormatterBuilder, int) SUTime.PartialTime
appliesNumericClassifiers() NERClassifierCombiner
apply(String) AbstractSequenceClassifier
Maps a String input to an XML-formatted rendition of applying NER to the
String.
apply(String) Buckwalter
apply(List<HasWord>) IBMArabicEscaper
Converts an input list of
HasWord in IBM Arabic to
LDC ATBv3 representation.
apply(String) IBMArabicEscaper
Applies escaping to a single word.
apply(CoreMap) CoreMapNodePatternTrigger
apply(SequenceMatchResult<T>, int...) CoreMapSequenceMatchAction.AnnotateAction
apply(SequenceMatchResult<CoreMap>, int...) CoreMapSequenceMatchAction.MergeAction
apply(CoreMap) MatchedExpression.SingleAnnotationExtractor
apply(List<? extends T>) MultiPatternMatcher.BasicSequencePatternTrigger
apply(SequenceMatchResult<T>, int...) SequenceMatchAction
apply(SequenceMatchResult<T>) SequenceMatchAction.BoundAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.BranchAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.NextMatchAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.SeriesAction
apply(SequenceMatchResult<T>, int...) SequenceMatchAction.StartMatchAction
apply(MR) SequenceMatchResult.GroupToIntervalFunc
apply(CoreMap) SequenceMatchRules.CoreMapFunctionApplier
apply(CoreMap) SequenceMatchRules.CoreMapToListFunctionApplier
apply(List<? extends T>) SequenceMatchRules.MultiSequencePatternExtractRule
apply(SequenceMatchResult<CoreMap>) SequenceMatchRules.SequenceMatchedExpressionExtractor
apply(SequenceMatchResult<T>) SequenceMatchRules.SequenceMatchResultExtractor
apply(List<? extends T>) SequenceMatchRules.SequencePatternExtractRule
apply(MatchResult) SequenceMatchRules.StringMatchedExpressionExtractor
apply(MatchResult) SequenceMatchRules.StringMatchResultExtractor
apply(String) SequenceMatchRules.StringPatternExtractRule
apply(Env, List<Value>) ValueFunction
Applies the function to the list values using the environment as context
and returns the evaluated value.
apply(Env, List<Value>) ValueFunctions.BooleanFunction
apply(Env, List<Value>) ValueFunctions.CompareFunction
apply(Env, List<Value>) ValueFunctions.NumericFunction
apply(Env, List<Value>) ValueFunctions.StringFunction
apply(SemanticGraph, Boolean) ForwardEntailer
Create a new search problem instance, given a sentence (possibly fragment), and the corresponding
parse tree.
apply(X) IdentityFunction
apply(String) ObjectBank.PathToFileFunction
apply(List<? extends HasWord>) ParserGrammar
Parses the list of HasWord.
apply(TregexMatcher) AbstractTreebankParserParams.AnnotatePunctuationFunction
apply(Pair<UnaryGrammar, BinaryGrammar>) LinearGrammarSmoother
Destructively modifies the input and returns it as a convenience.
apply(TregexMatcher) TregexPoweredTreebankParserParams.AnnotateHeadFunction
apply(TregexMatcher) TregexPoweredTreebankParserParams.SimpleStringFunction
apply(Configuration, String) ArcStandard
apply(Configuration, String) ParsingSystem
Apply the given transition to the given configuration, modifying
the configuration's state in place.
apply(State) BinaryTransition
Add a binary node to the existing node on top of the stack
apply(State, double) BinaryTransition
Add a binary node to the existing node on top of the stack
apply(State) CompoundUnaryTransition
Add a unary node to the existing node on top of the stack
apply(State, double) CompoundUnaryTransition
Add a unary node to the existing node on top of the stack
apply(State) FinalizeTransition
apply(State, double) FinalizeTransition
apply(State) IdleTransition
Do nothing
apply(State, double) IdleTransition
Do nothing
apply(State) ShiftTransition
Add the new preterminal to the stack, increment the queue position.
apply(State, double) ShiftTransition
Add the new preterminal to the stack, increment the queue position.
apply(State) Transition
Applies this transition to get a new state.
apply(State, double) Transition
Applies this transition to get a new state.
apply(State) UnaryTransition
Add a unary node to the existing node on top of the stack
apply(State, double) UnaryTransition
Add a unary node to the existing node on top of the stack
apply(List<? extends CoreMap>) CoreMapAggregator
apply(HasWord) Americanize
Americanize the HasWord or String coming in.
apply(String) AmericanizeFunction
apply(String) LowercaseAndAmericanizeFunction
apply(String) LowercaseFunction
apply(Object) Morphology
apply(List<IN>) PTBEscapingProcessor
Escape a List of HasWords.
apply(String) TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
apply(String) MultiClassPrecisionRecallExtendedStats.StringStringConverter
apply(List<? extends HasWord>) Tagger
apply(List<? extends HasWord>) MaxentTagger
Expects a sentence and returns a tagged sentence.
apply(SUTime.Temporal, SUTime.Temporal, int) SUTime.TemporalOp
apply(SUTime.Temporal, SUTime.Temporal) SUTime.TemporalOp
apply(SUTime.Temporal...) SUTime.TemporalOp
apply(Object...) SUTime.TemporalOp
apply(String) TimeFormatter.CustomDateFormatExtractor
apply(MatchResult) TimeFormatter.CustomDateFormatExtractor
apply(CoreMap) TimeFormatter.JavaDateFormatExtractor
apply(CoreMap) TimeFormatter.JodaDateTimeFormatExtractor
apply(Tree) BasicCategoryTreeTransformer
apply(TreeVisitor) CompositeTreebank
apply(TreeVisitor) DiskTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) FilteringTreebank
Applies the TreeVisitor, but only to the trees that pass the
filter.
apply(List<HasWord>) ChineseEscaper
Note: At present this clobbers the input list items.
apply(TreeVisitor) MemoryTreebank
Apply the TreeVisitor tp to all trees in the Treebank.
apply(TreeVisitor) TransformingTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) Treebank
Apply a TreeVisitor to each tree in the Treebank.
apply(Tree) TreeTransformer
apply(String) Color
apply() RedwoodConfiguration
Apply this configuration to Redwood
apply(Properties) RedwoodConfiguration
Parses a properties file and applies it immediately to Redwood
apply(RedwoodConfiguration, Redwood.RecordHandlerTree) RedwoodConfiguration.Thunk
apply(Properties) StanfordRedwoodConfiguration
Configures the Redwood logger using a reasonable set of defaults,
which can be overruled by the supplied Properties file.
apply(String) Style
apply(String) UTF8EquivalenceFunction
APPLY_GAZETTE_DEFAULT NERClassifierCombiner
APPLY_GAZETTE_PROPERTY NERClassifierCombiner
APPLY_NUMERIC_CLASSIFIERS_DEFAULT NERClassifierCombiner
APPLY_NUMERIC_CLASSIFIERS_PROPERTY 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) ApplyDepPatterns
applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) Dataset
Applies feature count thresholds to the Dataset.
applyFeatureCountThreshold(int) GeneralDataset
Applies a feature count threshold to the Dataset.
applyFeatureCountThreshold(int) RVFDataset
Applies a feature count threshold to the RVFDataset.
applyFeatureMaxCountThreshold(int) GeneralDataset
Applies a max feature count threshold to the Dataset.
applyFeatureMaxCountThreshold(int) RVFDataset
Applies a feature max count threshold to the RVFDataset.
applyNERPenalty SeqClassifierFlags
applyNumericClassifiers SeqClassifierFlags
applyPats(Counter<E>, String, TwoDimensionalCounter<CandidatePhrase, E>, CollectionValuedMap<E, Triple<String, Integer, Integer>>, Set<CandidatePhrase>) 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) ApplyPatterns
applyPrior(double[], double) CRFLogConditionalObjectiveFunction
applySpecializedNER(List<E>) 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) ClauseSplitterSearchProblem.Action
Apply this action to the given state.
applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) Trees
applyToTruthValue(boolean) NaturalLogicRelation
Implements the finite state automata of composing the truth value of a sentence with a natural logic relation being
applied.
APPOSITIONAL_MODIFIER EnglishGrammaticalRelations
The "appositional modifier" grammatical relation.
APPOSITIONAL_MODIFIER UniversalChineseGrammaticalRelations
The "appositional modifier" (appos) grammatical relation (abstract).
APPOSITIONAL_MODIFIER UniversalEnglishGrammaticalRelations
The "appositional modifier" grammatical relation.
appositions Mention
Set of other mentions in the same sentence that are syntactic appositions to this
appositions Mention
Set of other mentions in the same sentence that are syntactic appositions to this
APPOSITIONS_FIELD_NUMBER CoreNLPProtos.Mention
APPROVE_OPTION OpenPageDialog
approx SUTime.Temporal
approxAccuracy(int[][], int[][]) AbstractEvaluate
approxCombinedAccuracy(int[][], int[][]) AbstractEvaluate
APPROXIMATE TaggerConfig
approximate JodaTimeUtils.ConversionOptions
Treat durations as approximate
APPROXIMATE RepeatedRecordHandler
APPROXIMATE_EQUIVALENCE_CLASSES RNNOptions
approximateEntityMatchScore(String, String) KBPBasicSpanishCorefSystem
Approximately check if two entities are equivalent.
ApproximateRepeatSemantics() RepeatedRecordHandler.ApproximateRepeatSemantics
ApproxMatch K ,V > - Class in edu.stanford.nlp.ling.tokensregex.matcher
Represents an approximate match with a cost
ApproxMatch() ApproxMatch
ApproxMatch(List<K>, V, int, int, double) ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double) ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double, Interval[]) ApproxMatch
APRIL SUTime
ARABIC FontDetector
ARABIC_PROPERTIES LanguageInfo
list of properties files for each language
Arabic_VALUE CoreNLPProtos.Language
Arabic = 2;
arabicAoverAFilter(Tree) ATBArabicDataset.ArabicRawTreeNormalizer
ArabicCharAnnotation() CoreAnnotations.ArabicCharAnnotation
arabicDigit DefaultLexicalMapper
ArabicDocumentReaderAndWriter edu.stanford.nlp.international.arabic.process
Reads newline delimited UTF-8 Arabic sentences with or without
gold segmentation markers.
ArabicDocumentReaderAndWriter(boolean) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, boolean, TokenizerFactory<CoreLabel>) ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation edu.stanford.nlp.international.arabic.process
ArabicEmptyFilter() ArabicTreeNormalizer.ArabicEmptyFilter
ArabicHeadFinder edu.stanford.nlp.trees.international.arabic
Find the head of an Arabic tree, using the usual kind of heuristic
head finding rules.
ArabicHeadFinder() ArabicHeadFinder
ArabicHeadFinder(String) ArabicHeadFinder
Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
ArabicHeadFinder(ArabicHeadFinder.TagSet) ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack) ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) ArabicHeadFinder
ArabicHeadFinder.TagSet edu.stanford.nlp.trees.international.arabic
ArabicLexer edu.stanford.nlp.international.arabic.process
Tokenizer for UTF-8 Arabic.
ArabicLexer(Reader, LexedTokenFactory<?>, Properties) ArabicLexer
ArabicMorphoFeatures() ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
ArabicMorphoFeatureSpecification edu.stanford.nlp.international.arabic
Extracts morphosyntactic features from BAMA/SAMA analyses.
ArabicMorphoFeatureSpecification() ArabicMorphoFeatureSpecification
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures edu.stanford.nlp.international.arabic
Converts features specifications to labels for tagging
arabicPunc DefaultLexicalMapper
ArabicRawTreeNormalizer(PrintWriter, PrintWriter) ATBArabicDataset.ArabicRawTreeNormalizer
ArabicRawTreeReaderFactory() ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicRawTreeReaderFactory(boolean) ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicSegAnnotation() CoreAnnotations.ArabicSegAnnotation
ArabicSegmenter edu.stanford.nlp.international.arabic.process
Arabic word segmentation model based on conditional random fields (CRF).
ArabicSegmenter(Properties) ArabicSegmenter
Make an Arabic Segmenter.
ArabicSegmenter(ArabicSegmenter) ArabicSegmenter
Copy constructor.
ArabicSegmenterAnnotator edu.stanford.nlp.pipeline
This class will add segmentation information to an Annotation.
ArabicSegmenterAnnotator() ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(boolean) ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(String, boolean) ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(String, Properties) 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() ArabicSegmenterFeatureFactory
ArabicSubcategoryStripper() ArabicTreebankParserParams.ArabicSubcategoryStripper
ArabicTokenizer T extends HasWord > - Class in edu.stanford.nlp.international.arabic.process
Tokenizer for UTF-8 Arabic.
ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) ArabicTokenizer
ArabicTokenizer.ArabicTokenizerFactory T extends HasWord > - Class in edu.stanford.nlp.international.arabic.process
ArabicTreebankLanguagePack edu.stanford.nlp.trees.international.arabic
Specifies the treebank/language specific components needed for
parsing the Penn Arabic Treebank (ATB).
ArabicTreebankLanguagePack() ArabicTreebankLanguagePack
ArabicTreebankParserParams edu.stanford.nlp.parser.lexparser
ArabicTreebankParserParams() ArabicTreebankParserParams
ArabicTreebankParserParams.ArabicSubcategoryStripper edu.stanford.nlp.parser.lexparser
ArabicTreebankTokenizer edu.stanford.nlp.trees.international.arabic
Builds a tokenizer for the Penn Arabic Treebank (ATB) using a
StreamTokenizer.
ArabicTreebankTokenizer(Reader) ArabicTreebankTokenizer
ArabicTreeNormalizer edu.stanford.nlp.trees.international.arabic
Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB)
trees.
ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean, boolean) ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean) ArabicTreeNormalizer
ArabicTreeNormalizer(boolean) ArabicTreeNormalizer
ArabicTreeNormalizer() ArabicTreeNormalizer
ArabicTreeNormalizer.ArabicEmptyFilter edu.stanford.nlp.trees.international.arabic
Remove traces and pronoun deletion markers.
ArabicTreeReaderFactory edu.stanford.nlp.trees.international.arabic
Reads ArabicTreebank trees.
ArabicTreeReaderFactory() ArabicTreeReaderFactory
ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) ArabicTreeReaderFactory
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory edu.stanford.nlp.trees.international.arabic
ArabicUnknownWordModel edu.stanford.nlp.parser.lexparser
This is a basic unknown word model for Arabic.
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) ArabicUnknownWordModel
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) ArabicUnknownWordModel
This constructor creates an UWM with empty data structures.
ArabicUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
ArabicUnknownWordModelTrainer() ArabicUnknownWordModelTrainer
arbitraryInputLayerSize SeqClassifierFlags
Arc(TransducerGraph.Arc<NODE, IN, OUT>) TransducerGraph.Arc
Arc(NODE, NODE) TransducerGraph.Arc
Arc(NODE, NODE, IN) TransducerGraph.Arc
Arc(NODE, NODE, IN, OUT) TransducerGraph.Arc
ARCH TaggerConfig
ArcStandard edu.stanford.nlp.parser.nndep
Defines an arc-standard transition-based dependency parsing system
(Nivre, 2004).
ArcStandard(TreebankLanguagePack, List<String>, boolean) ArcStandard
areTransitionsEqual(State) State
Whether or not the transitions that built the two states are
equal.
arg IntDependency
ARG_FIELD_NUMBER CoreNLPProtos.Relation
argCounter MLEDependencyGrammar
Stores all the counts for dependencies (with and without the word
being a wildcard) in the reduced tag space.
ArgDescendentAnnotation() CoreAnnotations.ArgDescendentAnnotation
argmax(double[]) ArrayMath
argmax(float[]) ArrayMath
argmax(int[]) ArrayMath
argmax(Counter<E>) Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>, E) Counters
Finds and returns the key in the Counter with the largest count.
argmax() Distribution
argmax(Comparator<E>) IntCounter
Finds and returns the key in this Counter with the largest count.
argmax() IntCounter
Finds and returns the key in this Counter with the largest count.
argmax_tieLast(double[]) ArrayMath
argmin(double[]) ArrayMath
argmin(float[]) ArrayMath
argmin(int[]) ArrayMath
argmin(Counter<E>) Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Counter<E>, Comparator<E>) Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Comparator<E>) IntCounter
Finds and returns the key in this Counter with the smallest count.
argmin() IntCounter
Finds and returns the key in this Counter with the smallest count.
ARGNAME_FIELD_NUMBER CoreNLPProtos.Relation
argNames RelationMention
List of argument names in this relation
args 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
argsMatch(RelationMention) RelationMention
argsMatch(ExtractionObject...) RelationMention
argsMatch(List<ExtractionObject>) RelationMention
Verifies if the two sets of arguments match
argsToMap(String[]) StringUtils
Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) StringUtils
Parses command line arguments into a Map.
argsToProperties(String...) StringUtils
In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) StringUtils
argsToPropertiesWithResolve(String[]) StringUtils
convert args to properties with variable names resolved.
ARGUMENT EnglishGrammaticalRelations
The "argument" grammatical relation.
ARGUMENT ChineseGrammaticalRelations
The "argument" grammatical relation.
ARGUMENT UniversalChineseGrammaticalRelations
The "argument" (arg) grammatical relation (abstract).
ARGUMENT UniversalEnglishGrammaticalRelations
The "argument" grammatical relation.
ArgumentAnnotation() CoreAnnotations.ArgumentAnnotation
ArgumentParser edu.stanford.nlp.util
A class to set command line options.
ArgumentParser.Option edu.stanford.nlp.util
ArgUtils 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 NumberSequenceClassifier
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>) MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, List<List<Mention>>, boolean) MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, boolean) MentionExtractor
Post-processes the extracted mentions.
ARRAY_LIST_FACTORY CollectionFactory
ArrayCoreMap edu.stanford.nlp.util
Base implementation of
CoreMap backed by two Java arrays.
ArrayCoreMap() ArrayCoreMap
Default constructor - initializes with default initial annotation
capacity of 4.
ArrayCoreMap(int) ArrayCoreMap
Initializes this ArrayCoreMap, pre-allocating arrays to hold
up to capacity key,value pairs.
ArrayCoreMap(ArrayCoreMap) ArrayCoreMap
Copy constructor.
ArrayCoreMap(CoreMap) ArrayCoreMap
Copy constructor.
ArrayHeap E > - Class in edu.stanford.nlp.util
Implements a heap as an ArrayList.
ArrayHeap(Comparator<? super E>) ArrayHeap
Create an ArrayHeap.
ArrayHeap(Comparator<? super E>, int) ArrayHeap
arrayListFactory() CollectionFactory
Return a factory for making ArrayList Collections.
arrayListFactory(int) CollectionFactory
ArrayListFactory() CollectionFactory.ArrayListFactory
ArrayMap K ,V > - Class in edu.stanford.nlp.util
Map backed by an Array.
ArrayMap() ArrayMap
ArrayMap(int) ArrayMap
ArrayMap(Map<? extends K, ? extends V>) ArrayMap
ArrayMap(K[], V[]) ArrayMap
arrayMapFactory() MapFactory
Return a MapFactory that returns an ArrayMap.
ArrayMath edu.stanford.nlp.math
Methods for operating on numerical arrays as vectors and matrices.
ArrayMath.InvalidElementException edu.stanford.nlp.math
ArraySet E > - Class in edu.stanford.nlp.util
An array-backed set.
ArraySet() ArraySet
Constructs an ArraySet.
ArraySet(List<E>) ArraySet
Constructs an ArraySet, using the given list as the backing collection.
ArraySet(int) ArraySet
Constructs an ArraySet with specified initial size of backing array.
ArraySet(E...) ArraySet
Constructs an ArraySet with the specified elements.
arraySize ExhaustivePCFGParser
ArrayStringFilter 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...) ArrayStringFilter
ArrayStringFilter.Mode edu.stanford.nlp.util
arrayToFile(double[], String) StochasticDiffFunctionTester
ArrayUtils edu.stanford.nlp.util
Static utility methods for operating on arrays.
asAnnotation() Document
Return this Document as an Annotation object.
asArray(Counter<E>, Index<E>) Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>, Index<E>, int) Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>) Counters
Convert a counter to an array, the order of the array is random
asArrayList(Iterator<? extends T>) Iterables
Creates an ArrayList containing all of the Objects returned by the given Iterator.
ASBCunkDict edu.stanford.nlp.tagger.maxent
ASCENDING_COMPARATOR ScoredComparator
asCharacterArray(String) Characters
Map a String to an array of type Character.
ASCII ChineseUtils
ASCII_QUOTES QuoteAnnotator
asCollection(Iterator<? extends E>, CollectionFactory<E>) Iterables
Creates a new Collection from the given CollectionFactory, and adds all of the Objects
returned by the given Iterator.
asCoreLabels(Function<Sentence, Object>...) Sentence
Returns this sentence as a list of CoreLabels representing the sentence.
asCoreMap(Function<Sentence, Object>...) Sentence
Returns this sentence as a CoreNLP CoreMap object.
asCounter(Collection<E>) Counters
Takes in a Collection of something and makes a counter, incrementing once
for each object in the collection.
asCounter(FixedPrioritiesPriorityQueue<E>) Counters
Returns a counter whose keys are the elements in this priority queue, and
whose counts are the priorities in this queue.
asDependencyTree() RelationTriple
An optional method, returning the dependency tree this triple was extracted from
asDependencyTree() RelationTriple.WithTree
An optional method, returning the dependency tree this triple was extracted from
asDOTString() TransducerGraph
asDoubleArray(Collection<Double>) CollectionUtils
asExpression(Env, Object) Expressions
asFeatures() CRFDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() BasicDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() BasicDocument
Returns this (the features are the list of words).
asFeatures() Featurizable
returns Object as a Collection of its features
asFeatures() RVFDatum
Returns the list of features without values
asFeaturesCounter() RVFDatum
Returns the Counter of features and values
asFeatureVals() CRFDatum
Returns the double array containing the feature values.
asHashSet(Iterator<? extends T>) Iterables
Creates a HashSet containing all of the Objects returned by the given Iterator.
asImmutableSet(T[]) ArrayUtils
Return an immutable Set containing the same elements as the specified
array.
asIntArray(Collection<Integer>) CollectionUtils
asList() ArrayHeap
asList(int[]) 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[]) CollectionUtils
asList(double[]) CollectionUtils
asList() Pair
asList() Quadruple
asList() TreeShapedStack
Returns the current stack as a list
asList() Triple
asMap(Counter<E>) Counters
Returns a map view of the given counter.
asMap(Properties) PropertiesUtils
Tired of Properties not behaving like Map<String,String>s? This method will solve that problem for you.
asNormalizedCounter(C) Counters
L1 normalize a counter.
asObject(Env, Object) Expressions
ASPECT_MARKER UniversalChineseGrammaticalRelations
The "aspect marker" grammatical relation.
asPrimitiveDoubleArray(Collection<Double>) ArrayUtils
asPrimitiveIntArray(Collection<Integer>) ArrayUtils
asProperties(String...) PropertiesUtils
Create a Properties object from the passed in String arguments.
asSentence() RelationTriple
Return the given relation triple as a flat sentence
assertFinite(double[], String) ArrayMath
asSet(T[]) ArrayUtils
Return a Set containing the same elements as the specified array.
asSet(T...) CollectionUtils
Returns a new Set containing all the objects in the specified array.
assign(Expression) AssignableExpression
assign(Expression) Expressions.AssignableFunctionCallExpression
assign(Expression) Expressions.RegexMatchVarExpression
assign(Expression) Expressions.VarExpression
AssignableExpression(Env) TokenSequenceParser
AssignableExpression edu.stanford.nlp.ling.tokensregex.types
This interface represents an expression that can be assigned to.
AssignableFunctionCallExpression(String, List<Expression>, String...) Expressions.AssignableFunctionCallExpression
AssignableNestedVarExpression(Env) TokenSequenceParser
AssignableVar(Env) TokenSequenceParser
assignGroupIds(int) SequencePattern.AndPatternExpr
assignGroupIds(int) SequencePattern.BackRefPatternExpr
assignGroupIds(int) SequencePattern.GroupPatternExpr
assignGroupIds(int) SequencePattern.MultiNodePatternExpr
assignGroupIds(int) SequencePattern.NodePatternExpr
assignGroupIds(int) SequencePattern.OrPatternExpr
assignGroupIds(int) 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) SequencePattern.RepeatPatternExpr
assignGroupIds(int) SequencePattern.SequencePatternExpr
assignGroupIds(int) SequencePattern.SpecialNodePatternExpr
assignGroupIds(int) SequencePattern.ValuePatternExpr
assignIds RuleBasedCorefMentionFinder
assignMentionIDs(List<List<Mention>>, int) DependencyCorefMentionFinder
assignMentionIDs(List<List<Mention>>, int) RuleBasedCorefMentionFinder
AssignmentRule(Env) TokenSequenceParser
AssignmentRule(AssignableExpression, Expression) SequenceMatchRules.AssignmentRule
assignOriginalID() Document
When there is no mentionID information (without gold annotation), assign mention IDs
assignSyntacticHead(EntityMention, Tree, List<CoreLabel>, boolean) GenericDataSetReader
Find the index of the head of an entity.
ASSOCIATIVE_MODIFIER ChineseGrammaticalRelations
The "associative marker" grammatical relation.
ASSOCIATIVE_MODIFIER UniversalChineseGrammaticalRelations
The "associative modifier" (nmod:assmod) grammatical relation (Chinese-specific).
ASSOCIATIVEM_MODIFIER ChineseGrammaticalRelations
The "associative modifier" grammatical relation.
asSortedList() Beam
asString(Properties) PropertiesUtils
Convert from Properties to String.
assumedTruth ClauseSplitterSearchProblem
The assumed truth of the original clause.
assumedTruth SentenceFragment
The assumed truth of this fragment; this is relevant for what entailments are supported
ASSUMEDTRUTH_FIELD_NUMBER CoreNLPProtos.SentenceFragment
aStringArrToByteArr(String[]) ConvertByteArray
aStringArrToByteArr(String[], int, int) ConvertByteArray
aStringArrToByteArr(byte[], int, String[], int, int) ConvertByteArray
asValue(Env, Object) Expressions
AT RobustTokenizer
ATBArabicDataset edu.stanford.nlp.international.arabic.pipeline
Converts raw ATB trees into a format appropriate for treebank parsing.
ATBArabicDataset() ATBArabicDataset
ATBArabicDataset.ArabicRawTreeNormalizer edu.stanford.nlp.international.arabic.pipeline
ATBCorrector edu.stanford.nlp.international.arabic.pipeline
Makes ATB trees consistent with ArabicTreebankLanguagePack.
ATBCorrector() ATBCorrector
ATBCorrectorVisitor edu.stanford.nlp.international.arabic.pipeline
Wrapper class for using the ATBCorrector class with TreebankPipeline's
TVISITOR parameter.
ATBCorrectorVisitor() ATBCorrectorVisitor
atbFactory() ArabicTokenizer
ATBTreeUtils edu.stanford.nlp.trees.international.arabic
Various static convenience methods for processing Arabic parse trees.
attachedNegatedVerb(IndexedWord) SemanticGraph
attachLabels(Tree, Class<? extends CoreAnnotation<Integer>>) SentimentUtils
attachModelToLexicalizedParser() DVParser
ATTRIBUTE_QUOTES QuoteAnnotator
attributeMap ExtractionObject
This stores any optional attributes of ExtractionObjects
attributeMap() ExtractionObject
attributes XMLUtils.XMLTag
Stores attributes as a Map from keys to values.
attributesAgree(Mention, Dictionaries) Mention
Detects if the mention and candidate antecedent agree on all attributes respectively.
attributesAgree(Mention, Dictionaries) Mention
Detects if the mention and candidate antecedent agree on all attributes respectively.
AttributesEqualMatchChecker(K...) ComplexNodePattern.AttributesEqualMatchChecker
AttributesEqualMatchChecker(Class...) CoreMapNodePattern.AttributesEqualMatchChecker
ATTRIBUTIONDEPENDENCYGRAPH_FIELD_NUMBER CoreNLPProtos.Quote
ATTRIBUTIVE ChineseGrammaticalRelations
The "attributive" grammatical relation.
attrs LatticeEdge
AttrValue(Env, Map<String, String>) TokenSequenceParser
aType Sieve
type of mention we want to compare to.
aTypeStr Sieve
augmentedDateChars SeqClassifierFlags
AUGUST SUTime
AUTHOR_FIELD_NUMBER CoreNLPProtos.Quote
AUTHOR_FIELD_NUMBER CoreNLPProtos.Section
AuthorAnnotation() CoreAnnotations.AuthorAnnotation
AUTHORCHARBEGIN_FIELD_NUMBER CoreNLPProtos.Section
AUTHORCHAREND_FIELD_NUMBER CoreNLPProtos.Section
AutomatonMinimizer edu.stanford.nlp.fsm
AUX_MODIFIER EnglishGrammaticalRelations
The "auxiliary" grammatical relation.
AUX_MODIFIER ChineseGrammaticalRelations
The "copula" grammatical relation.
AUX_MODIFIER UniversalChineseGrammaticalRelations
The "auxiliary" (aux) grammatical relation.
AUX_MODIFIER 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 EnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER ChineseGrammaticalRelations
The "passive" grammatical relation.
AUX_PASSIVE_MODIFIER UniversalChineseGrammaticalRelations
The "auxiliary passive" (auxpass) grammatical relation.
AUX_PASSIVE_MODIFIER UniversalEnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
auxDataPath MachineReadingProperties
AuxiliaryTree edu.stanford.nlp.trees.tregex.tsurgeon
AuxiliaryTree(Tree, boolean) AuxiliaryTree
auxTrueCaseModels SeqClassifierFlags
available() ReaderInputStream
available(int) Ports
Checks to see if a specific port is available.
average(double[]) ArrayMath
average(Counter<E>, Counter<E>) Counters
Returns a new Counter with counts averaged from the two given Counters.
averageCount() IntCounter
Returns the mean of all the counts (totalCount/size).
averagedModels ShiftReduceTrainOptions
If set to 0, training outputs the last model produced, regardless
of its score.
averageModels(Collection<PerceptronModel>) PerceptronModel
averagePerceptron SeqClassifierFlags
averageScoredModels(Collection<ScoredObject<PerceptronModel>>) PerceptronModel
awaitTermination(long, TimeUnit) InterruptibleMulticoreWrapper
After a shutdown request, await for the final termination of all
threads.
C SVMLightClassifierFactory
C can be tuned using held-out set or cross-validation.
c ReaderIteratorFactory
The underlying Collection of input sources.
cache(Supplier<E>) Lazy
Create a lazy value from the given provider, allowing the value
stored in the lazy to be garbage collected if necessary.
CacheMap K ,V > - Class in edu.stanford.nlp.util
A fixed size hash map with LRU replacement.
CacheMap(int, float, boolean, String) CacheMap
Constructor.
CacheMap(int, float, boolean) CacheMap
CacheMap(int, float) CacheMap
CacheMap(int) CacheMap
cacheNGrams SeqClassifierFlags
CacheParseHypotheses edu.stanford.nlp.parser.dvparser
CacheParseHypotheses(LexicalizedParser) CacheParseHypotheses
calculate(double[]) AdaptedGaussianPriorObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) BiasedLogConditionalObjectiveFunction
calculate(double[]) BiasedLogisticObjectiveFunction
calculate(double[]) GeneralizedExpectationObjectiveFunction
calculate(double[]) LogConditionalEqConstraintFunction
calculate(double[]) LogConditionalObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) LogisticObjectiveFunction
calculate(double[]) SemiSupervisedLogConditionalObjectiveFunction
calculate(float[]) CRFLogConditionalObjectiveFloatFunction
calculate(double[]) CRFLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFLogConditionalObjectiveFunctionForLOP
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFLogConditionalObjectiveFunctionNoisyLabel
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFLogConditionalObjectiveFunctionWithDropout
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFNonLinearLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) CRFNonLinearSecondOrderLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(float[]) AbstractCachingDiffFloatFunction
Calculate the value at x and the derivative and save them in the respective fields
calculate(double[]) AbstractCachingDiffFunction
Calculate the value at x and the derivative
and save them in the respective fields.
calculate(double[]) DVParserCostAndGradient
calculate(double[]) SentimentCostAndGradient
calculateFeatureImportance(Properties) HybridCorefProperties
calculateHeadSpan GenericDataSetReader
If true, sets the head span to match the syntactic head of the extent.
calculatePrecision(Document) CorefScorer
calculatePrecision(Document) ScorerBCubed
calculatePrecision(Document) ScorerMUC
calculatePrecision(Document) ScorerPairwise
calculateProbs(double[][][]) TestSentence
calculateProbs puts log probs of taggings in the probabilities array.
calculateRecall(Document) CorefScorer
calculateRecall(Document) ScorerBCubed
calculateRecall(Document) ScorerMUC
calculateRecall(Document) ScorerPairwise
calculateRVF(double[]) BiasedLogisticObjectiveFunction
calculateRVF(double[]) LogisticObjectiveFunction
calculateScore(Document) CorefScorer
calculatesHessianVectorProduct() StochasticCalculateMethods
calculateStochastic(double[], double[], int[]) LogConditionalObjectiveFunction
This function is used to come up with an estimate of the value / gradient based on only a small
portion of the data (referred to as the batchSize for lack of a better term.
calculateStochastic(double[], double[], int[]) CRFLogConditionalObjectiveFunction
calculateStochastic(double[], double[], int[]) AbstractStochasticCachingDiffFunction
calculateStochastic needs to calculate a stochastic approximation to the derivative and value of
of a function for a given batch of the data.
calculateStochasticAlgorithmicDifferentiation(double[], double[], int[]) LogConditionalObjectiveFunction
calculateStochasticFiniteDifference(double[], double[], double, int[]) LogConditionalObjectiveFunction
calculateStochasticGradient(double[], int[]) LogConditionalObjectiveFunction
calculateStochasticGradient(double[], int[]) CRFLogConditionalObjectiveFunction
Performs stochastic gradient update based
on samples indexed by batch, but does not apply regularization.
calculateStochasticGradient(double[], int[]) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient calculation based
on samples indexed by batch and does not apply regularization.
calculateStochasticGradient(double[], int) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient updates based
on samples indexed by batch and do not apply regularization.
calculateStochasticGradientLocal(double[], int[]) LogConditionalObjectiveFunction
calculateStochasticUpdate(double[], double, int[], double) LogConditionalObjectiveFunction
calculateStochasticUpdate(double[], double, int[], double) CRFLogConditionalObjectiveFunction
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
calculateStochasticUpdate(double[], double, int[], double) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based
on samples indexed by batch.
calculateStochasticUpdate(double[], double, int, double) AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based
on next batch of batchSize.
calculateWeird1(float[]) CRFLogConditionalObjectiveFloatFunction
CALENDAR_FIELD_NUMBER CoreNLPProtos.Document
CalendarAnnotation() CoreAnnotations.CalendarAnnotation
call() ApplyDepPatterns
call() GetPatternsFromDataMultiClass.LabelWithSeedWords
call() ApplyPatterns
call() CreatePatterns.CreatePatternsThread
CALL_FUNCTION ValueFunctions
callback(Object...) CallbackFunction
CallbackFunction edu.stanford.nlp.util
A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
CallbackFunction() CallbackFunction
canAddArc(Object, Object, Object, Object) TransducerGraph
canApply(Configuration, String) ArcStandard
canApply(Configuration, String) ParsingSystem
Determine whether the given transition is legal for this
configuration.
CANCEL_OPTION OpenPageDialog
canChangeEncoding(String, String) DefaultLexicalMapper
canChangeEncoding(String, String) LDCPosMapper
canChangeEncoding(String, String) DefaultMapper
canChangeEncoding(String, String) Mapper
Indicates whether child can be converted to another encoding.
CandidatePartOfSpeechAnnotation() ParserAnnotations.CandidatePartOfSpeechAnnotation
CandidatePhrase edu.stanford.nlp.patterns
canonicalEntityMention() CoreEntityMention
return the canonical entity mention for this entity mention
CANONICALENTITYMENTIONINDEX_FIELD_NUMBER CoreNLPProtos.NERMention
CanonicalEntityMentionIndexAnnotation() CoreAnnotations.CanonicalEntityMentionIndexAnnotation
CANONICALMENTION_FIELD_NUMBER CoreNLPProtos.Quote
CanonicalMentionAnnotation() QuoteAttributionAnnotator.CanonicalMentionAnnotation
CANONICALMENTIONBEGIN_FIELD_NUMBER CoreNLPProtos.Quote
CanonicalMentionBeginAnnotation() QuoteAttributionAnnotator.CanonicalMentionBeginAnnotation
CANONICALMENTIONEND_FIELD_NUMBER CoreNLPProtos.Quote
CanonicalMentionEndAnnotation() QuoteAttributionAnnotator.CanonicalMentionEndAnnotation
canonicalMentionMapFromEntityMentions(List<CoreMap>) KBPBasicSpanishCorefSystem
canonicalName KBPRelationExtractor.RelationType
A canonical name for this relation type.
canonicalObject RelationTriple
The object (third argument) of this triple, in its canonical mention (i.e., coref resolved).
canonicalSpeaker() CoreQuote
retrieve the text of the canonical speaker
canonicalSpeakerCharOffsets() CoreQuote
retrieve the character offsets of the canonical speaker
canonicalSpeakerEntityMention() CoreQuote
retrieve the entity mention corresponding to the canonical speaker if there is one
canonicalSpeakerTokens() CoreQuote
retrieve the tokens of the canonical speaker
canonicalSubject RelationTriple
The subject (first argument) of this triple, in its canonical mention (i.e., coref resolved)
canReach(Configuration, DependencyTree) ArcStandard
capacity() Beam
capitalize(String) StringUtils
Uppercases the first character of a string.
capture(OutputStream) RedwoodConfiguration
Capture a system stream.
captureSystemStreams(boolean, boolean) Redwood
Captures System.out and System.err and redirects them
to Redwood logging.
cardinality KBPRelationExtractor.RelationType
The cardinality of this entity.
CASE UniversalChineseGrammaticalRelations
The "case" grammatical relation.
CASE_ALLCAPS AceToken
CASE_ALLCAPSORDOTS AceToken
CASE_ALLDIGITS AceToken
CASE_ALLDIGITSORDOTS AceToken
CASE_CAPINI AceToken
CASE_INCAP AceToken
CASE_INSENSITIVE NodePattern
CASE_MARKER UniversalEnglishGrammaticalRelations
The "prepositional modifier" grammatical relation.
CASE_OTHER AceToken
cased() Document
Make this document case sensitive.
cased() Sentence
Make this sentence case sensitive.
casedDistSim SeqClassifierFlags
Whether to (not) lowercase tokens before looking them up in distsim
lexicon.
CaseExpression(Env) TokenSequenceParser
CaseExpression(List<Pair<Expression, Expression>>, Expression) Expressions.CaseExpression
caseInsensitive PhraseTable
caseless() Document
Make this document caseless.
caseless() Sentence
Make this sentence caseless.
cast(Iterable<?>, Class<? extends T>) Iterables
Casts all values in the given Iterable to the given type.
cast(String, Type) MetaClass
Cast a String representation of an object into that object.
castToInt(double[][]) ArrayMath
castWithoutKnowingType(String) MetaClass
CategoricalFeatureExtractor edu.stanford.nlp.coref.neural
Extracts string matching, speaker, distance, and document genre features from mentions.
CategoricalFeatureExtractor(Properties, Dictionaries) CategoricalFeatureExtractor
category() CategoryWordTag
category() CoreLabel
Return the category value of the label (or null if none).
category() HasCategory
Return the category value of the label (or null if none).
CATEGORY_FIELD_NUMBER CoreNLPProtos.Token
categoryAndFunction(String) AbstractTreebankLanguagePack
Returns the syntactic category and 'function' of a String.
categoryAndFunction(String) TreebankLanguagePack
Returns the syntactic category and 'function' of a String.
CategoryAnnotation() CoreAnnotations.CategoryAnnotation
CategoryFunctionalTagAnnotation() CoreAnnotations.CategoryFunctionalTagAnnotation
CategoryWordTag edu.stanford.nlp.ling
A CategoryWordTag object acts as a complex Label
which contains a category, a head word, and a tag.
CategoryWordTag() CategoryWordTag
CategoryWordTag(String) CategoryWordTag
This one argument constructor sets just the value.
CategoryWordTag(String, String, String) CategoryWordTag
CategoryWordTag(Label) CategoryWordTag
Creates a new CategoryWordTag label from an existing label.
CategoryWordTagFactory edu.stanford.nlp.ling
A CategoryWordTagFactory is a factory that makes
a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() CategoryWordTagFactory
CatErrorEval(String) AbstractEval.CatErrorEval
CBEval(String, boolean) Evalb.CBEval
cCommands(Tree, Tree) Tree
Given nodes t1 and t2 which are
dominated by this node, returns true iff
t1 c-commands t2.
ccompObjVerbRegex EnglishPatterns
ccompVerbRegex EnglishPatterns
CCtransform(Tree) CoordinationTransformer
Transforms t if it contains a coordination in a flat structure
CEDict edu.stanford.nlp.trees.international.pennchinese
CENT Units.Currencies
Centuries JodaTimeUtils
CENTURY SUTime
cf CollectionValuedMap
cf TwoDimensionalCollectionValuedMap
CGMinimizer edu.stanford.nlp.optimization
Conjugate-gradient implementation based on the code in Numerical
Recipes in C.
CGMinimizer() CGMinimizer
Basic constructor, use this.
CGMinimizer(boolean) CGMinimizer
Pass in false to get per-iteration progress reports
(to stderr).
CGMinimizer(Function) CGMinimizer
Perform minimization with monitoring.
CGRunner edu.stanford.nlp.maxent
This class will call an optimization method such as Conjugate Gradient or
Quasi-Newton on a LambdaSolve object to find
optimal parameters, including imposing a Gaussian prior on those
parameters.
CGRunner(LambdaSolve, String) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer,
specifying a value for sigma2 .
CGRunner(LambdaSolve, String, double, double) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double, double[]) CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
chain(Comparator<? super T>, Comparator<? super T>) Comparators
Returns a new Comparator which is the result of chaining the
given Comparators.
chain(List<Comparator<? super T>>) Comparators
Returns a new Comparator which is the result of chaining the
given Comparators.
chain(Comparator<T>...) Comparators
chain(Iterable<? extends Iterable<T>>) Iterables
Chains together a set of Iterables of compatible types.
chain(Iterable<T>...) Iterables
Chains together all Iterables of type T as given in an array or
varargs parameter.
chain(T[]...) Iterables
Chains together all arrays of type T[] as given in an array or
varargs parameter.
chain(LogRecordHandler[], RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
Apply each of the handlers to incoming log messages, in sequence.
chain(LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) RedwoodConfiguration.Handlers
CHAINID_FIELD_NUMBER CoreNLPProtos.CorefChain
changeFeatureIndex(Index<F>) Dataset
changeLabelIndex(Index<L>) Dataset
changePriority(E, double) BinaryHeapPriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
changePriority(E, double) FixedPrioritiesPriorityQueue
Not supported in this implementation.
changePriority(E, double) PriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
changeScore(double) SentenceFragment
Changes the score of this fragment in place.
channelColors OutputHandler
channels(Object...) Redwood
Create an object representing a group of channels.
channels() Redwood.Record
Returns the channels for this record, in sorted order (special channels first, then alphabetical)
channels(Object...) Redwood.RedwoodChannels
Creates a new RedwoodChannels object, concatenating the channels from
this RedwoodChannels with some additional channels.
channels(Object...) Redwood.Util
channelSeparatorChar OutputHandler
Character used to join multiple channel names
channelStyles OutputHandler
channelWidth(int) RedwoodConfiguration
Set the width of the channels (or 0 to not show channels).
CHAPTER_BREAK ChapterAnnotator
ChapterAnnotation() ChapterAnnotator.ChapterAnnotation
ChapterAnnotator edu.stanford.nlp.quoteattribution
Created by mjfang on 12/18/16.
ChapterAnnotator() ChapterAnnotator
ChapterAnnotator.ChapterAnnotation edu.stanford.nlp.quoteattribution
CHAPTERINDEX_FIELD_NUMBER CoreNLPProtos.Sentence
CHARACTER_FIELD_NUMBER CoreNLPProtos.Document
CHARACTER_FIELD_NUMBER CoreNLPProtos.Sentence
characterMap Sieve
characterOffsetBegin() Sentence
characterOffsetBegin(int) Sentence
The character offset of the given index in the sentence.
characterOffsetBegin() Token
CHARACTEROFFSETBEGIN_FIELD_NUMBER CoreNLPProtos.Sentence
CharacterOffsetBeginAnnotation() CoreAnnotations.CharacterOffsetBeginAnnotation
characterOffsetEnd() Sentence
characterOffsetEnd(int) Sentence
The end character offset of the given index in the sentence.
characterOffsetEnd() Token
CHARACTEROFFSETEND_FIELD_NUMBER CoreNLPProtos.Sentence
CharacterOffsetEndAnnotation() CoreAnnotations.CharacterOffsetEndAnnotation
characters(char[], int, int) TransformXML.SAXInterface
Characters edu.stanford.nlp.util
Character-level utilities.
CHARACTERS_FILE QuoteAttributionAnnotator
CharactersAnnotation() SegmenterCoreAnnotations.CharactersAnnotation
CharAnnotation() CoreAnnotations.CharAnnotation
charArrToByteArr(char[]) ConvertByteArray
charArrToByteArr(char[], int, int) ConvertByteArray
charArrToByteArr(byte[], int, char[], int, int) ConvertByteArray
CHARBEGIN_FIELD_NUMBER CoreNLPProtos.Section
CHAREND_FIELD_NUMBER CoreNLPProtos.Section
charHalfWindow SeqClassifierFlags
CharniakParser edu.stanford.nlp.parser.charniak
Runs the Charniak parser via the command line.
CharniakParser() CharniakParser
CharniakParser(String, String) CharniakParser
CharniakParserAnnotator edu.stanford.nlp.pipeline
This class will add parse information to an Annotation from the BLLIP parser.
CharniakParserAnnotator(String, String, boolean, int) CharniakParserAnnotator
CharniakParserAnnotator() CharniakParserAnnotator
CharniakScoredParsesReaderWriter edu.stanford.nlp.parser.charniak
Utility routines for printing/reading scored parses for the Charniak Parser.
charOffsets MatchedExpression
Character offsets (relative to original text).
charOffsets() CoreEntityMention
char offsets of mention
charOffsets() CoreSentence
char offsets of mention
chart BiLexPCFGParser
charTags ChineseTreebankParserParams
cheatPCFG TrainOptions
Add all test set trees to training data for PCFG.
check() IntervalTree
check(IntervalTree.TreeNode<E, T>) IntervalTree
checkArgs(List<Value>) ValueFunction
Checks if the arguments are valid.
checkArgs(List<Value>) ValueFunctions.BooleanFunction
checkArgs(List<Value>) ValueFunctions.CompareFunction
checkArgs(List<Value>) ValueFunctions.NumericFunction
checkArgs(List<Value>) ValueFunctions.StringFunction
checkArgs(List<Value>) ValueFunctions.TypeCheckedFunction
checkClusters(Logger, String, Document) SieveCoreferenceSystem
checkConstructor(Object...) MetaClass
checkCorrectness() LambdaSolve
Check whether the constraints are satisfied, the probabilities sum to one, etc.
checkCorrectness() LambdaSolveTagger
Works out whether the model expectations match the empirical
expectations.
checkCrossing(Set<Constituent>, Set<Constituent>) Evalb.CBEval
checkDic(String, SeqClassifierFlags) NonDict2
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) DeterministicCorefSieve
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) NameMatch
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) DeterministicCorefSieve
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) NameMatch
checkError() RedwoodPrintStream
checkExistsOrFail(File) FileSystem
checkFile(File) NERGUI
checkFlagExclusiveSet(int, int, int) Interval
Utility function to check if a particular flag is set exclusively
given a particular set of flags and a mask.
checkFlagSet(int, int) Interval
Utility function to check if a particular flag is set
given a particular set of flags.
checkForInterrupt() CorefUtils
checkGradient SeqClassifierFlags
checkMemory(Properties) HybridCorefProperties
checkMultipleBitSet(int) Interval
Utility function to check if multiple bits are set for flags
checkNameList SeqClassifierFlags
checkNotExistsOrFail(File) FileSystem
checkOffsets(CoreMap) ChunkAnnotationUtils
Checks if offsets of doc and sentence matches.
checkProperties(Properties, Properties) PropertiesUtils
Checks to make sure that all properties specified in properties
are known to the program by checking that each simply overrides
a default value.
checkRequiredProperties(Properties, String...) StringUtils
If any of the given list of properties are not found, returns the
name of that property.
checkStatus(URL) StanfordCoreNLPClient
checkTime(Properties) HybridCorefProperties
checkWordListMatch(PhraseTable.Phrase, PhraseTable.WordList, int, int, int, boolean) PhraseTable
child UnaryRule
CHILD_FIELD_NUMBER CoreNLPProtos.ParseTree
childFilteredEval(String, boolean, TreebankLanguagePack, String) FilteredEval
Returns an eval which is good for counting the attachment of
specific node types.
childPairs(IndexedWord) SemanticGraph
Returns a list of pairs of a relation name and the child
IndexedFeatureLabel that bears that relation.
childRelns(IndexedWord) SemanticGraph
Returns a list of relations which this node has with its children.
children TrieMap
Child tries
children() LabeledScoredTreeNode
Returns an array of children for the current node, or null
if it is a leaf.
children() SimpleTree
Returns an array of children for the current node, or null
if it is a leaf.
children() Tree
Returns an array of children for the current node.
children TreeGraphNode
Children of this node.
children() TreeGraphNode
Returns an array of the children of this node.
children() Redwood.RecordHandlerTree
ChildrenAnnotation() TimeExpression.ChildrenAnnotation
childrenNamesSpi() DisabledPreferences
childSpi(String) DisabledPreferences
childTab TreeJPanel.WidthResult
CHINESE FontDetector
CHINESE_PROPERTIES LanguageInfo
Chinese_VALUE CoreNLPProtos.Language
Chinese = 3;
CHINESECHAR_FIELD_NUMBER CoreNLPProtos.Token
ChineseCharacterBasedLexicon edu.stanford.nlp.parser.lexparser
ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) ChineseCharacterBasedLexicon
ChineseCharAnnotation() CoreAnnotations.ChineseCharAnnotation
ChineseCollinizer edu.stanford.nlp.trees.international.pennchinese
Performs collinization operations on Chinese trees similar to
those for English Namely:
strips all functional & automatically-added tags
strips all punctuation
merges PRN and ADVP
eliminates ROOT (note that there are a few non-unary ROOT nodes;
these are not eliminated)
ChineseCollinizer(ChineseTreebankLanguagePack) ChineseCollinizer
ChineseCollinizer(ChineseTreebankLanguagePack, boolean) ChineseCollinizer
chineseColonAcceptFilter() ChineseTreebankLanguagePack
chineseCommaAcceptFilter() ChineseTreebankLanguagePack
chineseDashAcceptFilter() ChineseTreebankLanguagePack
ChineseDictionary edu.stanford.nlp.wordseg
This class provides a main method that loads various dictionaries, and
saves them in a serialized version, and runtime compiles them into a word list used as a feature in the segmenter.
ChineseDictionary(String) ChineseDictionary
ChineseDictionary(String[]) ChineseDictionary
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor) ChineseDictionary
ChineseDictionary(String, ChineseDocumentToSentenceProcessor, boolean) ChineseDictionary
The first argument can be one file path, or multiple files separated by
commas.
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor, boolean) ChineseDictionary
ChineseDocumentToSentenceProcessor edu.stanford.nlp.process
Convert a Chinese Document into a List of sentence Strings.
ChineseDocumentToSentenceProcessor() ChineseDocumentToSentenceProcessor
ChineseDocumentToSentenceProcessor(String) ChineseDocumentToSentenceProcessor
chineseDouHaoAcceptFilter() ChineseTreebankLanguagePack
chineseEndSentenceAcceptFilter() ChineseTreebankLanguagePack
ChineseEnglishWordMap edu.stanford.nlp.trees.international.pennchinese
A class for mapping Chinese words to English.
ChineseEnglishWordMap() ChineseEnglishWordMap
Make a ChineseEnglishWordMap with a default CEDict path.
ChineseEnglishWordMap(String) ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, boolean) ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String) ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String, boolean) ChineseEnglishWordMap
ChineseEscaper edu.stanford.nlp.trees.international.pennchinese
An Escaper for Chinese normalization to match Treebank.
ChineseEscaper() ChineseEscaper
ChineseGrammaticalRelations edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructure edu.stanford.nlp.trees.international.pennchinese
A GrammaticalStructure for Chinese.
ChineseGrammaticalStructure(Tree) ChineseGrammaticalStructure
Construct a new GrammaticalStructure from an
existing parse tree.
ChineseGrammaticalStructure(Tree, Predicate<String>) ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, HeadFinder) ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) ChineseGrammaticalStructure
ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) ChineseGrammaticalStructure
Used for postprocessing CoNLL X dependencies
ChineseGrammaticalStructure.FromDependenciesFactory edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory() ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>) ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) ChineseGrammaticalStructureFactory
ChineseHeadFinder edu.stanford.nlp.trees.international.pennchinese
HeadFinder for the Penn Chinese Treebank.
ChineseHeadFinder() ChineseHeadFinder
ChineseHeadFinder(TreebankLanguagePack) ChineseHeadFinder
ChineseHeadMatch edu.stanford.nlp.coref.hybrid.sieve
ChineseHeadMatch() ChineseHeadMatch
ChineseHeadMatch(Properties) ChineseHeadMatch
ChineseIsSegmentedAnnotation() CoreAnnotations.ChineseIsSegmentedAnnotation
chineseLeftParenthesisAcceptFilter() ChineseTreebankLanguagePack
chineseLeftQuoteMarkAcceptFilter() ChineseTreebankLanguagePack
ChineseLexicon edu.stanford.nlp.parser.lexparser
A lexicon class for Chinese.
ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) ChineseLexicon
ChineseLexiconAndWordSegmenter edu.stanford.nlp.parser.lexparser
This class lets you train a lexicon and segmenter at the same time.
ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) ChineseLexiconAndWordSegmenter
ChineseLexiconAndWordSegmenter(String, Options) ChineseLexiconAndWordSegmenter
Construct a new ChineseLexiconAndWordSegmenter.
ChineseMarkovWordSegmenter edu.stanford.nlp.parser.lexparser
Performs word segmentation with a hierarchical markov model over POS
and over characters given POS.
ChineseMarkovWordSegmenter(ChineseCharacterBasedLexicon, Index<String>, Index<String>) ChineseMarkovWordSegmenter
ChineseMarkovWordSegmenter(ChineseTreebankParserParams, Index<String>, Index<String>) ChineseMarkovWordSegmenter
ChineseNumberSequenceClassifier edu.stanford.nlp.ie.regexp
A simple rule-based classifier that detects NUMBERs in a sequence of Chinese tokens.
ChineseNumberSequenceClassifier() ChineseNumberSequenceClassifier
ChineseNumberSequenceClassifier(boolean) ChineseNumberSequenceClassifier
ChineseNumberSequenceClassifier(Properties, boolean, Properties) ChineseNumberSequenceClassifier
ChineseOrigSegAnnotation() CoreAnnotations.ChineseOrigSegAnnotation
chineseOtherAcceptFilter() ChineseTreebankLanguagePack
chineseParenthesisAcceptFilter() ChineseTreebankLanguagePack
ChineseQuantifiableEntityNormalizer edu.stanford.nlp.ie
A Chinese correspondence of the
QuantifiableEntityNormalizer that normalizes NUMBER, DATE, TIME,
MONEY, PERCENT and ORDINAL amounts expressed in Chinese.
chineseQuoteMarkAcceptFilter() ChineseTreebankLanguagePack
chineseRightParenthesisAcceptFilter() ChineseTreebankLanguagePack
chineseRightQuoteMarkAcceptFilter() ChineseTreebankLanguagePack
CHINESESEG_FIELD_NUMBER CoreNLPProtos.Token
ChineseSegAnnotation() CoreAnnotations.ChineseSegAnnotation
ChineseSegmenterAnnotator edu.stanford.nlp.pipeline
This class will add segmentation information to an Annotation.
ChineseSegmenterAnnotator() ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, boolean) ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, boolean, String, String) ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(String, Properties) ChineseSegmenterAnnotator
ChineseSegmenterFeatureFactory IN extends CoreLabel > - Class in edu.stanford.nlp.wordseg
A Chinese segmenter Feature Factory for GALE project.
ChineseSegmenterFeatureFactory() ChineseSegmenterFeatureFactory
chineseSelectiveTagPA ChineseTreebankParserParams
ChineseSemanticHeadFinder edu.stanford.nlp.trees.international.pennchinese
Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
ChineseSemanticHeadFinder() ChineseSemanticHeadFinder
ChineseSemanticHeadFinder(TreebankLanguagePack) ChineseSemanticHeadFinder
ChineseSimWordAvgDepGrammar edu.stanford.nlp.parser.lexparser
A Dependency grammar that smoothes by averaging over similar words.
ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) ChineseSimWordAvgDepGrammar
chineseSplitDouHao ChineseTreebankParserParams
Chinese: Split the dou hao (a punctuation mark separating
members of a list) from other punctuation.
chineseSplitPunct ChineseTreebankParserParams
Chinese: split Chinese punctuation several ways, along the lines
of English punctuation plus another category for the dou hao.
chineseSplitPunctLR ChineseTreebankParserParams
Chinese: split left right/paren quote (if chineseSplitPunct is also
true.
chineseSplitVP ChineseTreebankParserParams
Chinese VP splitting.
ChineseStringUtils edu.stanford.nlp.wordseg
ChineseTreebankLanguagePack edu.stanford.nlp.trees.international.pennchinese
Language pack for the UPenn/Colorado/Brandeis Chinese treebank.
ChineseTreebankLanguagePack() ChineseTreebankLanguagePack
ChineseTreebankParserParams edu.stanford.nlp.parser.lexparser
Parameter file for parsing the Penn Chinese Treebank.
ChineseTreebankParserParams() ChineseTreebankParserParams
ChineseUnknownWordModel edu.stanford.nlp.parser.lexparser
Stores, trains, and scores with an unknown word model.
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, boolean, Set<String>) ChineseUnknownWordModel
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) ChineseUnknownWordModel
This constructor creates an UWM with empty data structures.
ChineseUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
ChineseUnknownWordModelTrainer() ChineseUnknownWordModelTrainer
ChineseUtils edu.stanford.nlp.trees.international.pennchinese
This class contains a few String constants and
static methods for dealing with Chinese text.
chineseVerySelectiveTagPA ChineseTreebankParserParams
CHINESEXMLCHAR_FIELD_NUMBER CoreNLPProtos.Token
chiSquare2by2(int, int, int, int) SloppyMath
Find a 2x2 chi-square value.
chomp(String) StringUtils
Returns the supplied string with any trailing '\n' or '\r\n' removed.
chomp(Object) StringUtils
Returns the result of calling toString() on the supplied Object, but with
any trailing '\n' or '\r\n' removed.
chooseTokenizerFactory() MaxentTagger
Figures out what tokenizer factory might be described by the
config.
chooseTokenizerFactory(boolean, String, String, boolean) MaxentTagger
chooseTopWords(Counter<CandidatePhrase>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<CandidatePhrase>, Set<CandidatePhrase>, double) ScorePhrases
CHTBTokenizer edu.stanford.nlp.trees.international.pennchinese
A simple tokenizer for tokenizing Penn Chinese Treebank files.
CHTBTokenizer(Reader) CHTBTokenizer
Constructs a new tokenizer from a Reader.
ChunkAnnotation() CoreAnnotations.ChunkAnnotation
ChunkAnnotationUtils edu.stanford.nlp.pipeline
Utility functions for annotating chunks
chunkOffsets MatchedExpression
Chunk offsets (relative to chunking on top of original text)
CL NaiveBayesClassifierFactory
CL_MODIFIER ChineseGrammaticalRelations
The "clause modifier of a preposition" grammatical relation.
classBias SeqClassifierFlags
ClassComparator() Token.ClassComparator
ClassicCounter E > - Class in edu.stanford.nlp.stats
A specialized kind of hash table (or map) for storing numeric counts for
objects.
ClassicCounter() ClassicCounter
Constructs a new (empty) Counter backed by a HashMap.
ClassicCounter(int) ClassicCounter
ClassicCounter(MapFactory<E, MutableDouble>) ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(MapFactory<E, MutableDouble>, int) ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(Counter<E>) ClassicCounter
Constructs a new Counter with the contents of the given Counter.
ClassicCounter(Collection<E>) ClassicCounter
Constructs a new Counter by counting the elements in the given Collection.
CLASSIFICATION_MODEL StatisticalCorefTrainer
classificationModelPath(Properties) StatisticalCorefProperties
classificationScores ClustererDataLoader.ClustererDoc
Classifier L ,F > - Interface in edu.stanford.nlp.classify
A simple interface for classifying and scoring data points, implemented
by most of the classifiers in this package.
classifier PairwiseModel
classifier KBPStatisticalExtractor
The implementing classifier of this extractor.
classifier BasicRelationExtractor
Classifier edu.stanford.nlp.parser.nndep
Neural network classifier which powers a transition-based dependency parser.
Classifier(Config, double[][], double[][], double[], double[][], List<Integer>) Classifier
Instantiate a classifier with previously learned parameters in
order to perform new inference.
Classifier(Config, Dataset, double[][], double[][], double[], double[][], List<Integer>) Classifier
Instantiate a classifier with training data and randomly
initialized parameter matrices in order to begin training.
Classifier.Cost edu.stanford.nlp.parser.nndep
Describes the result of feedforward + backpropagation through
the neural network for the batch provided to a `CostFunction.`
CLASSIFIER_MODIFIER UniversalChineseGrammaticalRelations
The "classifier marker" grammatical relation.
ClassifierCombiner IN extends CoreMap & HasWord > - Class in edu.stanford.nlp.ie
Merges the outputs of two or more AbstractSequenceClassifiers according to
a simple precedence scheme: any given base classifier contributes only
classifications of labels that do not exist in the base classifiers specified
before, and that do not have any token overlap with labels assigned by
higher priority classifiers.
ClassifierCombiner(Properties) ClassifierCombiner
ClassifierCombiner(Properties, ClassifierCombiner.CombinationMode, String...) ClassifierCombiner
Loads a series of base classifiers from the paths specified using the
Properties specified.
ClassifierCombiner(ClassifierCombiner.CombinationMode, String...) ClassifierCombiner
Loads a series of base classifiers from the paths specified using the
Properties specified.
ClassifierCombiner(String...) ClassifierCombiner
Loads a series of base classifiers from the paths specified.
ClassifierCombiner(AbstractSequenceClassifier<IN>...) ClassifierCombiner
Combines a series of base classifiers.
ClassifierCombiner(ObjectInputStream, Properties) ClassifierCombiner
ClassifierCreator L ,F > - Interface in edu.stanford.nlp.classify
Creates a classifier with given weights
ClassifierExample edu.stanford.nlp.classify
Sample code that illustrates the training and use of a linear classifier.
ClassifierFactory L ,F ,C extends Classifier <L ,F >> - Interface in edu.stanford.nlp.classify
A simple interface for training a Classifier from a Dataset of training
examples.
classifierFactory ClauseSplitterSearchProblem.TrainingOptions
classifierType Sieve
classifierType SeqClassifierFlags
classify(String) AbstractSequenceClassifier
Classify the tokens in a String.
classify(List<IN>) AbstractSequenceClassifier
classify(List<IN>) ClassifierCombiner
Generates the AnswerAnnotation labels of the combined model for the given
tokens, storing them in place in the tokens.
classify(List<IN>) CRFBiasedClassifier
classify(List<IN>) CRFClassifier
classify(KBPRelationExtractor.KBPInput) KBPEnsembleExtractor
classify(KBPRelationExtractor.KBPInput) KBPRelationExtractor
Classify the given sentence into the relation it expresses, with the associated
confidence.
classify(KBPRelationExtractor.KBPInput) KBPSemgrexExtractor
classify(KBPRelationExtractor.KBPInput) KBPStatisticalExtractor
Score the given input, returning both the classification decision and the
probability of that decision.
classify(KBPRelationExtractor.KBPInput) KBPTokensregexExtractor
classify(List<IN>) CMMClassifier
classify(List<CoreLabel>) NERClassifierCombiner
classify(List<IN>) PresetSequenceClassifier
classify(List<CoreLabel>) ChineseNumberSequenceClassifier
Use a set of heuristic rules to assign NER tags to tokens.
classify(List<CoreLabel>) NumberSequenceClassifier
classify(List<CoreLabel>) RegexNERSequenceClassifier
classifyAndWriteAnswers(String) AbstractSequenceClassifier
Load a text file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
classifyAndWriteAnswers(String, boolean) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
classifyAndWriteAnswers(String, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
classifyAndWriteAnswers(String, OutputStream, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
If the flag
outputEncoding is defined, the output is written in that
character encoding, otherwise in the system default character encoding.
classifyAndWriteAnswers(String, String, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, PrintWriter, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to
stdout (with timing to stderr).
classifyAndWriteAnswersKBest(ObjectBank<List<IN>>, int, PrintWriter, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Run the classifier on the documents in an ObjectBank, and print the
answers to a given PrintWriter (with timing to stderr).
classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Load a test file, run the classifier on it, and then write a Viterbi search
graph for each sequence.
classifyFile(String) AbstractSequenceClassifier
Classify the contents of a file.
classifyFilesAndWriteAnswers(Collection<File>) AbstractSequenceClassifier
Run the classifier on a collection of text files.
classifyFilesAndWriteAnswers(Collection<File>, DocumentReaderAndWriter<IN>, boolean) AbstractSequenceClassifier
classifyGibbs(List<IN>) CRFClassifier
classifyGibbs(List<IN>, Triple<int[][][], int[], double[][][]>) CRFClassifier
classifyKBest(List<IN>, Class<? extends CoreAnnotation<String>>, int) AbstractSequenceClassifier
Takes a list of tokens and provides the K best sequence labelings of these tokens with their scores.
classifyMaxEnt(List<IN>) CRFClassifier
Do standard sequence inference, using either Viterbi or Beam inference
depending on the value of flags.inferenceType.
classifyMentions(List<List<Mention>>, Dictionaries, Properties) MentionDetectionClassifier
classifyRaw(String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Classify the tokens in a String.
classifySentence(List<? extends HasWord>) AbstractSequenceClassifier
Classify a List of IN.
classifySentenceWithGlobalInformation(List<? extends HasWord>, CoreMap, CoreMap) AbstractSequenceClassifier
Classify a List of IN using whatever additional information is passed in globalInfo.
classifyStdin() AbstractSequenceClassifier
classifyStdin(DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
classifyToCharacterOffsets(String) AbstractSequenceClassifier
Classify the contents of a
String to classified character offset
spans.
classifyToString(String, String, boolean) AbstractSequenceClassifier
Classify the contents of a
String to one of several String
representations that shows the classes.
classifyToString(String) AbstractSequenceClassifier
Classify the contents of a String to a tagged word/class String.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) AbstractSequenceClassifier
Classify a
List of something that extends
CoreMap using as
additional information whatever is stored in the document and sentence.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) ClassifierCombiner
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) CRFClassifier
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) CMMClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) NERClassifierCombiner
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) PresetSequenceClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) ChineseNumberSequenceClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) NumberSequenceClassifier
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) RegexNERSequenceClassifier
classifyWithInlineXML(String) AbstractSequenceClassifier
Classify the contents of a
String.
classIndex AbstractSequenceClassifier
classIndex() CRFCliqueTree
classIndex CRFLogConditionalObjectiveFunction
classIndex EntityCachingAbstractSequencePriorBIO
className ValueFunctions.ParamInfo
classNames RNNOptions
classOf(Datum<L, F>) Classifier
classOf(Datum<String, String>) ColumnDataClassifier
classOf(Datum<L, F>) LinearClassifier
classOf(RVFDatum<L, F>) LinearClassifier
Deprecated.
classOf(Datum<L, F>) LogisticClassifier
classOf(RVFDatum<L, F>) LogisticClassifier
Deprecated.
classOf(Counter<F>) LogisticClassifier
classOf(Collection<F>) LogisticClassifier
classOf(RVFDatum<L, F>) NaiveBayesClassifier
classOf(Datum<L, F>) NaiveBayesClassifier
classOf(RVFDatum<L, F>) RVFClassifier
classOf(Datum<String, String>, ExtractionObject) BasicRelationExtractor
classOf(List<IN>, int) CMMClassifier
Returns the most likely class for the word at the given position.
classORRestrictionsAsString() Token
CLAUSAL_COMPLEMENT EnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_COMPLEMENT ChineseGrammaticalRelations
The "clausal" grammatical relation.
CLAUSAL_COMPLEMENT UniversalChineseGrammaticalRelations
The "clausal complement" (ccomp) grammatical relation.
CLAUSAL_COMPLEMENT UniversalEnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_LOCALIZER_COMPLEMENT UniversalChineseGrammaticalRelations
CLAUSAL_MODIFIER UniversalChineseGrammaticalRelations
CLAUSAL_MODIFIER UniversalEnglishGrammaticalRelations
The "clausal modifier of noun" relation.
CLAUSAL_PASSIVE_SUBJECT EnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_PASSIVE_SUBJECT UniversalEnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_SUBJECT EnglishGrammaticalRelations
The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT ChineseGrammaticalRelations
The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT UniversalChineseGrammaticalRelations
The "clausal subject" grammatical relation.
CLAUSAL_SUBJECT UniversalEnglishGrammaticalRelations
The "clausal subject" grammatical relation.
clausalComplementRegex EnglishPatterns
clauseIntermWeight ClauseSplitterSearchProblem.TrainingOptions
clauseRelations UniversalEnglishGrammaticalRelations
clausesInSentence(SemanticGraph, boolean) OpenIE
Find the clauses in a sentence, where the sentence is expressed as a dependency tree.
clausesInSentence(CoreMap) OpenIE
Find the clauses in a sentence.
ClauseSplitter edu.stanford.nlp.naturalli
Just a convenience alias for a clause splitting search problem factory.
clauseSplitter OpenIE
The clause splitter model, if one is to be used.
ClauseSplitter.ClauseClassifierLabel edu.stanford.nlp.naturalli
ClauseSplitterSearchProblem edu.stanford.nlp.naturalli
A search problem for finding clauses in a sentence.
ClauseSplitterSearchProblem(SemanticGraph, boolean, Optional<Classifier<ClauseSplitter.ClauseClassifierLabel, String>>, Optional<Function<Triple<ClauseSplitterSearchProblem.State, ClauseSplitterSearchProblem.Action, ClauseSplitterSearchProblem.State>, Counter<String>>>) ClauseSplitterSearchProblem
Create a searcher manually, suppling a dependency tree, an optional classifier for when to split clauses,
and a featurizer for that classifier.
ClauseSplitterSearchProblem(SemanticGraph, boolean) ClauseSplitterSearchProblem
Create a clause searcher which searches naively through every possible subtree as a clause.
ClauseSplitterSearchProblem.Action edu.stanford.nlp.naturalli
An action being taken; that is, the type of clause splitting going on.
ClauseSplitterSearchProblem.Featurizer edu.stanford.nlp.naturalli
Mostly just an alias, but make sure our featurizer is serializable!
ClauseSplitterSearchProblem.State edu.stanford.nlp.naturalli
A search state.
ClauseSplitterSearchProblem.TrainingOptions edu.stanford.nlp.naturalli
The options used for training the clause searcher.
clauseSplitWeight ClauseSplitterSearchProblem.TrainingOptions
clean() Features
clean() TwoDimensionalCounter
clean() TwoDimensionalIntCounter
cleanGazette SeqClassifierFlags
cleanTree(SemanticGraph) Util
Fix some bizarre peculiarities with certain trees.
cleanUpLabel(String) BobChrisTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) DependencyTreeTransformer
cleanUpLabel(String) GrammaticalFunctionTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) NegraPennTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) CTBErrorCorrectingTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) TueBaDZPennTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpLabel(String) NPTmpRetainingTreeNormalizer
Remove things like hyphened functional tags and equals from the
end of a node label.
cleanUpRoot(String) DependencyTreeTransformer
cleanUpScorer() TestSentence
clean-up after the scorer
cleanXML(Properties) AnnotatorImplementations
Clean XML input
CleanXmlAnnotator edu.stanford.nlp.pipeline
An annotator which removes all XML tags (as identified by the
tokenizer) and possibly selectively keeps the text between them.
CleanXmlAnnotator() CleanXmlAnnotator
CleanXmlAnnotator(Properties) CleanXmlAnnotator
CleanXmlAnnotator(String, String, String, boolean) CleanXmlAnnotator
clear() GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() DirectedMultiGraph
clears the graph, removes all edges and nodes
clear() Graph
clears the graph, removes all edges and nodes
clear() StringDictionary
clear() StringOutputStream
clear() BoundedCostOrderedMap
clear() TrieMap
clear() PhraseTable
Clears this table
clear() PhraseTable.PhraseStringCollection
clear() ObjectBank
clear() AnnotatorPool
Clear this pool, and unmount all the annotators mounted on it.
clear() CoreNLPProtos.CorefChain.Builder
clear() CoreNLPProtos.CorefChain.CorefMention.Builder
clear() CoreNLPProtos.DependencyGraph.Builder
clear() CoreNLPProtos.DependencyGraph.Edge.Builder
clear() CoreNLPProtos.DependencyGraph.Node.Builder
clear() CoreNLPProtos.Document.Builder
clear() CoreNLPProtos.Entity.Builder
clear() CoreNLPProtos.IndexedWord.Builder
clear() CoreNLPProtos.MapIntString.Builder
clear() CoreNLPProtos.MapStringString.Builder
clear() CoreNLPProtos.Mention.Builder
clear() CoreNLPProtos.NERMention.Builder
clear() CoreNLPProtos.Operator.Builder
clear() CoreNLPProtos.ParseTree.Builder
clear() CoreNLPProtos.Polarity.Builder
clear() CoreNLPProtos.Quote.Builder
clear() CoreNLPProtos.Relation.Builder
clear() CoreNLPProtos.RelationTriple.Builder
clear() CoreNLPProtos.Section.Builder
clear() CoreNLPProtos.Sentence.Builder
clear() CoreNLPProtos.SentenceFragment.Builder
clear() CoreNLPProtos.Span.Builder
clear() CoreNLPProtos.SpeakerInfo.Builder
clear() CoreNLPProtos.Timex.Builder
clear() CoreNLPProtos.Token.Builder
clear() CoreNLPProtos.TokenLocation.Builder
clear() ObjectBankWrapper
clear() ClassicCounter
Removes all entries from the counter.
clear() Counter
Removes all entries from the counter.
clear() IntCounter
Removes all counts from this Counter.
clear() TwoDimensionalCounter
clears the map, total and default value
clear() SUTime.TimeIndex
clear() CompositeTreebank
clear() DiskTreebank
Empty a Treebank.
clear() FilteringTreebank
Empty a Treebank.
clear() MemoryTreebank
Empty a Treebank.
clear() TransformingTreebank
Empty a Treebank.
clear() Treebank
Empty a Treebank.
clear() ArrayHeap
Clears the heap.
clear() ArrayMap
clear() BinaryHeapPriorityQueue
Clears the queue.
clear() CollectionValuedMap
Clears this Map.
clear() ConcurrentHashIndex
clear() SynchronizedInterner
clear() DeltaIndex
We don't want to change the backing index in any way, and "clear"
would have to entail doing that, so we just throw an
UnsupportedOperationException instead
clear() DeltaMap
This is more expensive than normal.
clear(int, int) EditDistance
clear() FixedPrioritiesPriorityQueue
clear() HashIndex
Clears this Index.
clear() IdentityHashSet
Removes all of the elements from this set.
clear() Index
clear() Interner
clear() IntervalTree
clear() IntervalTree.TreeNode
clear() RedwoodConfiguration
Clear any custom configurations to Redwood
clear() MaxSizeConcurrentHashSet
clear() TwoDimensionalCollectionValuedMap
clear() TwoDimensionalMap
clear() TwoDimensionalSet
clear2D(double[][]) CRFLogConditionalObjectiveFunction
clearAfter() CoreNLPProtos.Token.Builder
The whitespace/xml after the token
clearAll() FilePanel
Removes all files from the panel
clearAlternativeDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
clearAltValue() CoreNLPProtos.Timex.Builder
optional string altValue = 2;
clearAnimacy() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
clearAnimacy() CoreNLPProtos.Mention.Builder
optional string animacy = 5;
clearAnnotatedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
clearAnnotatorPool() StanfordCoreNLP
Call this if you are no longer using StanfordCoreNLP and want to
release the memory associated with the annotators.
clearAnswer() CoreNLPProtos.Token.Builder
A temporary annotation which is occasionally left in
clearAppositions() CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
clearArg() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
clearArgName() CoreNLPProtos.Relation.Builder
repeated string argName = 6;
clearAssumedTruth() CoreNLPProtos.SentenceFragment.Builder
optional bool assumedTruth = 3;
clearAttributionDependencyGraph() CoreNLPProtos.Quote.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
clearAuthor() CoreNLPProtos.Quote.Builder
optional string author = 11;
clearAuthor() CoreNLPProtos.Section.Builder
optional string author = 3;
clearAuthorCharBegin() CoreNLPProtos.Section.Builder
optional uint32 authorCharBegin = 7;
clearAuthorCharEnd() CoreNLPProtos.Section.Builder
optional uint32 authorCharEnd = 8;
clearBasicDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
clearBefore() CoreNLPProtos.Token.Builder
The whitespace/xml before the token
clearBegin() CoreNLPProtos.Quote.Builder
optional uint32 begin = 2;
clearBegin() CoreNLPProtos.Span.Builder
required uint32 begin = 1;
clearBeginChar() CoreNLPProtos.Token.Builder
The character offset begin, in the document
clearBeginIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 beginIndex = 6;
clearBeginIndex() CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
clearBeginPoint() CoreNLPProtos.Timex.Builder
optional uint32 beginPoint = 6;
clearBelongToLists() CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
clearBinarizedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
clearCache() AbstractCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-)
clearCache() AbstractStochasticCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-).
clearCalendar() CoreNLPProtos.Document.Builder
optional uint64 calendar = 8;
clearCanonicalEntityMentionIndex() CoreNLPProtos.NERMention.Builder
optional uint32 canonicalEntityMentionIndex = 11;
clearCanonicalMention() CoreNLPProtos.Quote.Builder
optional string canonicalMention = 19;
clearCanonicalMentionBegin() CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionBegin = 20;
clearCanonicalMentionEnd() CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionEnd = 21;
clearCategory() CoreNLPProtos.Token.Builder
The word's 'category' (e.g., parse tree node)
clearChainID() CoreNLPProtos.CorefChain.Builder
required int32 chainID = 1;
clearChapterIndex() CoreNLPProtos.Sentence.Builder
quote stuff
clearCharacter() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
clearCharacter() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
clearCharacterOffsetBegin() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetBegin = 5;
clearCharacterOffsetEnd() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetEnd = 6;
clearCharBegin() CoreNLPProtos.Section.Builder
required uint32 charBegin = 1;
clearCharEnd() CoreNLPProtos.Section.Builder
required uint32 charEnd = 2;
clearChild() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
clearChineseChar() CoreNLPProtos.Token.Builder
Chinese character info
clearChineseSeg() CoreNLPProtos.Token.Builder
optional string chineseSeg = 55;
clearChineseXMLChar() CoreNLPProtos.Token.Builder
optional string chineseXMLChar = 60;
clearCoarseNER() CoreNLPProtos.Token.Builder
The word's coarse NER tag
clearCoarseTag() CoreNLPProtos.Token.Builder
The coarse POS tag (used to store the UPOS tag)
clearCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
clearCollapsedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
clearConfidence() CoreNLPProtos.RelationTriple.Builder
The [optional] confidence of the extraction
clearConllUFeatures() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
clearConllUMisc() CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
clearConllUSecondaryDeps() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
clearConllUTokenSpan() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
clearCopyAnnotation() CoreNLPProtos.DependencyGraph.Node.Builder
optional uint32 copyAnnotation = 3;
clearCopyCount() CoreNLPProtos.IndexedWord.Builder
optional uint32 copyCount = 4;
clearCorefChain() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
clearCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 corefClusterID = 15;
clearCorefClusterID() CoreNLPProtos.Token.Builder
The [primary] cluster id for this token
clearCorefID() CoreNLPProtos.Entity.Builder
optional string corefID = 11;
clearCorefMentionIndex() CoreNLPProtos.Token.Builder
mention index info
clearCorefMentionToEntityMentionMappings() CoreNLPProtos.Document.Builder
repeated uint32 corefMentionToEntityMentionMappings = 17;
clearCounts() MultiClassChunkEvalStats
clearCounts() MultiClassPrecisionRecallExtendedStats
clearDatetime() CoreNLPProtos.Section.Builder
optional string datetime = 5;
clearDep() CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
clearDependents() CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
clearDependingVerb() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
clearDocDate() CoreNLPProtos.Document.Builder
optional string docDate = 7;
clearDocID() CoreNLPProtos.Document.Builder
optional string docID = 4;
clearDocID() CoreNLPProtos.IndexedWord.Builder
optional uint32 docID = 3;
clearDocid() CoreNLPProtos.Quote.Builder
optional string docid = 9;
clearDocID() CoreNLPProtos.Sentence.Builder
doc id
clearDocument() NERGUI
clearEdge() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
clearEnd() CoreNLPProtos.Quote.Builder
optional uint32 end = 3;
clearEnd() CoreNLPProtos.Span.Builder
required uint32 end = 2;
clearEndChar() CoreNLPProtos.Token.Builder
The character offset end, in the document
clearEndIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 endIndex = 7;
clearEndIndex() CoreNLPProtos.Mention.Builder
optional uint32 endIndex = 9;
clearEndIndex() CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
clearEndPoint() CoreNLPProtos.Timex.Builder
optional uint32 endPoint = 7;
clearEnhancedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
clearEnhancedPlusPlusDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
clearEntailedClause() CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
clearEntailedSentence() CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
clearEntity() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
clearEntityMentionIndex() CoreNLPProtos.NERMention.Builder
optional uint32 entityMentionIndex = 10;
clearEntityMentionIndex() CoreNLPProtos.Token.Builder
optional uint32 entityMentionIndex = 65;
clearEntityMentionText() CoreNLPProtos.NERMention.Builder
optional string entityMentionText = 12;
clearEntityMentionToCorefMentionMappings() CoreNLPProtos.Document.Builder
repeated uint32 entityMentionToCorefMentionMappings = 18;
clearEntityType() CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
clearError() RedwoodPrintStream
clearExtension(<any>) CoreNLPProtos.Document.Builder
clearExtension(<any>) CoreNLPProtos.Sentence.Builder
clearExtension(<any>) CoreNLPProtos.Token.Builder
clearExtentEnd() CoreNLPProtos.Entity.Builder
optional uint32 extentEnd = 3;
clearExtentEnd() CoreNLPProtos.Relation.Builder
optional uint32 extentEnd = 3;
clearExtentStart() CoreNLPProtos.Entity.Builder
optional uint32 extentStart = 2;
clearExtentStart() CoreNLPProtos.Relation.Builder
optional uint32 extentStart = 2;
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.CorefChain.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.CorefChain.CorefMention.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.DependencyGraph.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.DependencyGraph.Edge.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.DependencyGraph.Node.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Document.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Entity.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.IndexedWord.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.MapIntString.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.MapStringString.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Mention.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.NERMention.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Operator.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.ParseTree.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Polarity.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Quote.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Relation.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.RelationTriple.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Section.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Sentence.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.SentenceFragment.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Span.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.SpeakerInfo.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Timex.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.Token.Builder
clearField(com.google.protobuf.Descriptors.FieldDescriptor) CoreNLPProtos.TokenLocation.Builder
clearFineGrainedNER() CoreNLPProtos.Token.Builder
The word's fine-grained NER tag
clearGender() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
clearGender() CoreNLPProtos.Mention.Builder
optional string gender = 4;
clearGender() CoreNLPProtos.NERMention.Builder
optional string gender = 9;
clearGender() CoreNLPProtos.Token.Builder
Fields set by other annotators in CoreNLP
clearGeneric() CoreNLPProtos.Mention.Builder
optional bool generic = 25;
clearGoldCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 goldCorefClusterID = 14;
clearGradientHistories() Classifier
Clear all gradient histories used for AdaGrad training.
clearGradientsPerIter Config
During training, clear AdaGrad gradient histories after every
clearGradientsPerIter iterations.
clearHandlers() Redwood
Remove all log handlers from Redwood, presumably in order to
construct a custom pipeline afterwards
clearHasBasicDependency() CoreNLPProtos.Mention.Builder
optional bool hasBasicDependency = 27;
clearHasContextParseTree() CoreNLPProtos.Mention.Builder
optional bool hasContextParseTree = 29;
clearHasCorefAnnotation() CoreNLPProtos.Document.Builder
optional bool hasCorefAnnotation = 16;
clearHasCorefMentionAnnotation() CoreNLPProtos.Document.Builder
optional bool hasCorefMentionAnnotation = 15;
clearHasCorefMentionsAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasCorefMentionsAnnotation = 57;
clearHasEnhancedDepenedncy() CoreNLPProtos.Mention.Builder
optional bool hasEnhancedDepenedncy = 28;
clearHasEntityMentionsAnnotation() CoreNLPProtos.Document.Builder
used to differentiate between null and empty list
clearHasEntityMentionsAnnotation() CoreNLPProtos.Sentence.Builder
check if there are entity mentions
clearHasKBPTriplesAnnotation() CoreNLPProtos.Sentence.Builder
check if there are KBP triples
clearHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasNumerizedTokensAnnotation = 54;
clearHasOpenieTriplesAnnotation() CoreNLPProtos.Sentence.Builder
check if there are OpenIE triples
clearHasRelationAnnotations() CoreNLPProtos.Sentence.Builder
Fields set by other annotators in CoreNLP
clearHasTwin() CoreNLPProtos.Mention.Builder
optional bool hasTwin = 24;
clearHasXmlContext() CoreNLPProtos.Token.Builder
Used by clean xml annotator
clearHeadEnd() CoreNLPProtos.Entity.Builder
optional uint32 headEnd = 7;
clearHeadIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 headIndex = 9;
clearHeadIndex() CoreNLPProtos.Mention.Builder
optional uint32 headIndex = 10;
clearHeadIndexedWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
clearHeadStart() CoreNLPProtos.Entity.Builder
optional uint32 headStart = 6;
clearHeadString() CoreNLPProtos.Mention.Builder
optional string headString = 11;
clearHeadTokenIndex() CoreNLPProtos.Entity.Builder
optional uint32 headTokenIndex = 10;
clearHeadWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
clearHeadWordIndex() CoreNLPProtos.Token.Builder
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
clearIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 index = 2;
clearIndex() CoreNLPProtos.Quote.Builder
optional uint32 index = 10;
clearIsDirectObject() CoreNLPProtos.Mention.Builder
optional bool isDirectObject = 21;
clearIsExtra() CoreNLPProtos.DependencyGraph.Edge.Builder
optional bool isExtra = 4;
clearIsIndirectObject() CoreNLPProtos.Mention.Builder
optional bool isIndirectObject = 22;
clearIsNewline() CoreNLPProtos.Token.Builder
optional bool isNewline = 38;
clearIsPrepositionObject() CoreNLPProtos.Mention.Builder
optional bool isPrepositionObject = 23;
clearIsSingleton() CoreNLPProtos.Mention.Builder
optional bool isSingleton = 26;
clearIsSubject() CoreNLPProtos.Mention.Builder
optional bool isSubject = 20;
clearIstmod() CoreNLPProtos.RelationTriple.Builder
If true, this expresses an implicit tmod relation
clearKBestParseTrees() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
clearKbpTriple() CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
clearKey() CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
clearKey() CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
clearLanguage() CoreNLPProtos.DependencyGraph.Edge.Builder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
clearLemma() CoreNLPProtos.Token.Builder
The word's lemma
clearLineNumber() CoreNLPProtos.Sentence.Builder
optional uint32 lineNumber = 20;
clearListMembers() CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
clearMatches() DisplayMatchesPanel
Remove all trees from the display
clearMemory() NERFeatureFactory
clearMemory() ObjectBank
If you are keeping the contents in memory,
this will clear the memory, and they will be
recomputed the next time iterator() is
called.
clearMemory() ObjectBankWrapper
clearMention() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
clearMention() CoreNLPProtos.Quote.Builder
optional string mention = 12;
clearMentionBegin() CoreNLPProtos.Quote.Builder
optional uint32 mentionBegin = 13;
clearMentionEnd() CoreNLPProtos.Quote.Builder
optional uint32 mentionEnd = 14;
clearMentionID() CoreNLPProtos.CorefChain.CorefMention.Builder
optional int32 mentionID = 1;
clearMentionID() CoreNLPProtos.Mention.Builder
optional int32 mentionID = 1;
clearMentionNum() CoreNLPProtos.Mention.Builder
optional uint32 mentionNum = 16;
clearMentions() CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
clearMentions() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
clearMentions() CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
clearMentionsForCoref() CoreNLPProtos.Document.Builder
coref mentions for entire document *
clearMentionsForCoref() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
clearMentionSieve() CoreNLPProtos.Quote.Builder
optional string mentionSieve = 16;
clearMentionType() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
clearMentionType() CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
clearMentionType() CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
clearMentionType() CoreNLPProtos.Quote.Builder
optional string mentionType = 15;
clearName() CoreNLPProtos.Operator.Builder
required string name = 1;
clearNer() CoreNLPProtos.NERMention.Builder
required string ner = 4;
clearNer() CoreNLPProtos.Token.Builder
The word's NER tag
clearNerString() CoreNLPProtos.Mention.Builder
optional string nerString = 12;
clearNode() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
clearNodeScope(Node) JJTTsurgeonParserState
clearNormalizedName() CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
clearNormalizedNER() CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
clearNormalizedNER() CoreNLPProtos.Token.Builder
The word's normalized NER tag
clearNumber() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
clearNumber() CoreNLPProtos.Mention.Builder
optional string number = 3;
clearObject() CoreNLPProtos.RelationTriple.Builder
The surface form of the object
clearObjectID() CoreNLPProtos.Entity.Builder
inherited from ExtractionObject
clearObjectID() CoreNLPProtos.Relation.Builder
inherited from ExtractionObject
clearObjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 objectSpanBegin = 6;
clearObjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 objectSpanEnd = 7;
clearObjectTokens() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.CorefChain.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.CorefChain.CorefMention.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.DependencyGraph.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.DependencyGraph.Edge.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.DependencyGraph.Node.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Document.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Entity.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.IndexedWord.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.MapIntString.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.MapStringString.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Mention.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.NERMention.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Operator.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.ParseTree.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Polarity.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Quote.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Relation.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.RelationTriple.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Section.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Sentence.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.SentenceFragment.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Span.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.SpeakerInfo.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Timex.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.Token.Builder
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor) CoreNLPProtos.TokenLocation.Builder
clearOpenieTriple() CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
clearOperator() CoreNLPProtos.Token.Builder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
clearOriginalRef() CoreNLPProtos.Mention.Builder
optional uint32 originalRef = 13;
clearOriginalSpan() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
clearOriginalText() CoreNLPProtos.Token.Builder
The original text for this token
clearParagraph() CoreNLPProtos.Mention.Builder
optional uint32 paragraph = 19;
clearParagraph() CoreNLPProtos.Sentence.Builder
optional uint32 paragraph = 11;
clearParagraphIndex() CoreNLPProtos.Sentence.Builder
optional uint32 paragraphIndex = 67;
clearParent() CoreNLPProtos.Token.Builder
French tokens have parents
clearParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
clearPerson() CoreNLPProtos.Mention.Builder
optional string person = 6;
clearPolarity() CoreNLPProtos.Token.Builder
The polarity of this word, according to Natural Logic
clearPolarityDir() CoreNLPProtos.Token.Builder
The polarity of this word, either "up", "down", or "flat"
clearPos() CoreNLPProtos.Token.Builder
The word's part of speech tag
clearPosition() CoreNLPProtos.CorefChain.CorefMention.Builder
the second element of position
clearPredicateNominatives() CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
clearPrefixBe() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' prefix
clearPreprocessedTerms() CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
clearProjectAlternation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
clearProjectCover() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
clearProjectEquivalence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
clearProjectForwardEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
clearProjectIndependence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
clearProjectNegation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
clearProjectReverseEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
clearQuantifierSpanBegin() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanBegin = 2;
clearQuantifierSpanEnd() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanEnd = 3;
clearQuotationIndex() CoreNLPProtos.Token.Builder
The index of the quotation this token refers to
clearQuote() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
clearQuotes() CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
clearRelation() CoreNLPProtos.RelationTriple.Builder
The surface form of the relation (required)
clearRelation() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
clearRelationTokens() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
clearRelativePronouns() CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
clearRepresentative() CoreNLPProtos.CorefChain.Builder
required uint32 representative = 3;
clearRoot() CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
clearRoot() CoreNLPProtos.SentenceFragment.Builder
optional uint32 root = 2;
clearScore() CoreNLPProtos.ParseTree.Builder
optional double score = 5;
clearScore() CoreNLPProtos.SentenceFragment.Builder
optional double score = 4;
clearSectionAuthor() CoreNLPProtos.Sentence.Builder
author of section
clearSectionAuthor() CoreNLPProtos.Token.Builder
optional string sectionAuthor = 57;
clearSectionDate() CoreNLPProtos.Sentence.Builder
date of section
clearSectionDate() CoreNLPProtos.Token.Builder
optional string sectionDate = 58;
clearSectionEndLabel() CoreNLPProtos.Token.Builder
optional string sectionEndLabel = 59;
clearSectionIndex() CoreNLPProtos.Sentence.Builder
section index for this sentence's section
clearSectionName() CoreNLPProtos.Sentence.Builder
name of section
clearSectionName() CoreNLPProtos.Token.Builder
Section info
clearSectionQuoted() CoreNLPProtos.Sentence.Builder
is this sentence in an xml quote in a post
clearSections() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
clearSentence() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
clearSentenceBegin() CoreNLPProtos.Quote.Builder
optional uint32 sentenceBegin = 5;
clearSentenceEnd() CoreNLPProtos.Quote.Builder
optional uint32 sentenceEnd = 6;
clearSentenceID() CoreNLPProtos.Sentence.Builder
Useful when storing sentences (e.g.
clearSentenceIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 sentenceIndex = 10;
clearSentenceIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 sentenceIndex = 1;
clearSentenceIndex() CoreNLPProtos.NERMention.Builder
optional uint32 sentenceIndex = 1;
clearSentenceIndex() CoreNLPProtos.Sentence.Builder
optional uint32 sentenceIndex = 4;
clearSentenceIndex() CoreNLPProtos.TokenLocation.Builder
optional uint32 sentenceIndex = 1;
clearSentenceIndexes() CoreNLPProtos.Section.Builder
repeated uint32 sentenceIndexes = 4;
clearSentencelessToken() CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
clearSentenceNum() CoreNLPProtos.IndexedWord.Builder
optional uint32 sentenceNum = 1;
clearSentenceWords() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
clearSentiment() CoreNLPProtos.ParseTree.Builder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
clearSentiment() CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
clearSentiment() CoreNLPProtos.Token.Builder
The final sentiment of the sentence
clearSentNum() CoreNLPProtos.Mention.Builder
optional uint32 sentNum = 17;
clearSignature() CoreNLPProtos.Relation.Builder
optional string signature = 8;
clearSource() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 source = 1;
clearSourceCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 sourceCopy = 5;
clearSpan() CoreNLPProtos.Token.Builder
The span of a leaf node of a tree
clearSpeaker() CoreNLPProtos.Quote.Builder
optional string speaker = 17;
clearSpeaker() CoreNLPProtos.Token.Builder
The speaker speaking this word
clearSpeakerInfo() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
clearSpeakerName() CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
clearSpeakerSieve() CoreNLPProtos.Quote.Builder
optional string speakerSieve = 18;
clearStartIndex() CoreNLPProtos.Mention.Builder
optional uint32 startIndex = 7;
clearSubject() CoreNLPProtos.RelationTriple.Builder
The surface form of the subject
clearSubjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 subjectSpanBegin = 4;
clearSubjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 subjectSpanEnd = 5;
clearSubjectTokens() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
clearSubtype() CoreNLPProtos.Entity.Builder
Implicit
uint32 sentence @see implicit in sentence
clearSubtype() CoreNLPProtos.Relation.Builder
Implicit
uint32 sentence @see implicit in sentence
clearSuffixBe() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' suffix
clearSuffixOf() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'of' prefix
clearTarget() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 target = 2;
clearTargetCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 targetCopy = 6;
clearText() CoreNLPProtos.Document.Builder
required string text = 1;
clearText() CoreNLPProtos.Quote.Builder
optional string text = 1;
clearText() CoreNLPProtos.Sentence.Builder
Only needed if we're only saving the sentence.
clearText() CoreNLPProtos.Timex.Builder
optional string text = 3;
clearTid() CoreNLPProtos.Timex.Builder
optional string tid = 5;
clearTimex() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
clearTimexValue() CoreNLPProtos.Token.Builder
The time this word refers to
clearToken() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
clearTokenBegin() CoreNLPProtos.Quote.Builder
optional uint32 tokenBegin = 7;
clearTokenBeginIndex() CoreNLPProtos.Token.Builder
The begin index of the token
clearTokenEnd() CoreNLPProtos.Quote.Builder
optional uint32 tokenEnd = 8;
clearTokenEndIndex() CoreNLPProtos.Token.Builder
The end index of the token
clearTokenEndInSentenceExclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenEndInSentenceExclusive = 3;
clearTokenIndex() CoreNLPProtos.IndexedWord.Builder
optional uint32 tokenIndex = 2;
clearTokenIndex() CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
clearTokenIndex() CoreNLPProtos.TokenLocation.Builder
optional uint32 tokenIndex = 2;
clearTokenOffsetBegin() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetBegin = 2;
clearTokenOffsetEnd() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetEnd = 3;
clearTokenStartInSentenceInclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenStartInSentenceInclusive = 2;
clearTree() CoreNLPProtos.RelationTriple.Builder
The dependency graph fragment for this triple
clearTrueCase() CoreNLPProtos.Token.Builder
true case type of token
clearTrueCaseText() CoreNLPProtos.Token.Builder
true case gloss of token
clearType() CoreNLPProtos.Entity.Builder
optional string type = 4;
clearType() CoreNLPProtos.Relation.Builder
optional string type = 4;
clearType() CoreNLPProtos.Timex.Builder
optional string type = 4;
clearUtter() CoreNLPProtos.Mention.Builder
optional uint32 utter = 18;
clearUtterance() CoreNLPProtos.Token.Builder
The utterance tag used in dcoref
clearValue() CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
clearValue() CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
clearValue() CoreNLPProtos.ParseTree.Builder
optional string value = 2;
clearValue() CoreNLPProtos.Timex.Builder
optional string value = 1;
clearValue() CoreNLPProtos.Token.Builder
The word's 'value', (e.g., parse tree node)
clearVariables() Env
clearWikipediaEntity() CoreNLPProtos.NERMention.Builder
optional string wikipediaEntity = 8;
clearWikipediaEntity() CoreNLPProtos.Token.Builder
optional string wikipediaEntity = 37;
clearWord() CoreNLPProtos.Token.Builder
Fields set by the default annotators [new CoreNLP(new Properties())]
clearXmlContext() CoreNLPProtos.Token.Builder
Used by clean xml annotator
clearXmlDoc() CoreNLPProtos.Document.Builder
xml information
clearXmlTag() CoreNLPProtos.Section.Builder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
clearYieldBeginIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldBeginIndex = 3;
clearYieldEndIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldEndIndex = 4;
Clique edu.stanford.nlp.sequences
This class is meant to represent a clique in a (directed
or undirected) linear-chain graphical model.
cliqueC FeatureFactory
cliqueCnC FeatureFactory
cliqueCp2C FeatureFactory
cliqueCp3C FeatureFactory
cliqueCp4C FeatureFactory
cliqueCp5C FeatureFactory
cliqueCpC FeatureFactory
cliqueCpCnC FeatureFactory
cliqueCpCp2C FeatureFactory
cliqueCpCp2Cp3C FeatureFactory
cliqueCpCp2Cp3Cp4C FeatureFactory
cliqueCpCp2Cp3Cp4Cp5C FeatureFactory
cliquePotentialFunc CRFLogConditionalObjectiveFunction
CliquePotentialFunction edu.stanford.nlp.ie.crf
clone() TransducerGraph
clone() CoreNLPProtos.CorefChain.Builder
clone() CoreNLPProtos.CorefChain.CorefMention.Builder
clone() CoreNLPProtos.DependencyGraph.Builder
clone() CoreNLPProtos.DependencyGraph.Edge.Builder
clone() CoreNLPProtos.DependencyGraph.Node.Builder
clone() CoreNLPProtos.Document.Builder
clone() CoreNLPProtos.Entity.Builder
clone() CoreNLPProtos.IndexedWord.Builder
clone() CoreNLPProtos.MapIntString.Builder
clone() CoreNLPProtos.MapStringString.Builder
clone() CoreNLPProtos.Mention.Builder
clone() CoreNLPProtos.NERMention.Builder
clone() CoreNLPProtos.Operator.Builder
clone() CoreNLPProtos.ParseTree.Builder
clone() CoreNLPProtos.Polarity.Builder
clone() CoreNLPProtos.Quote.Builder
clone() CoreNLPProtos.Relation.Builder
clone() CoreNLPProtos.RelationTriple.Builder
clone() CoreNLPProtos.Section.Builder
clone() CoreNLPProtos.Sentence.Builder
clone() CoreNLPProtos.SentenceFragment.Builder
clone() CoreNLPProtos.Span.Builder
clone() CoreNLPProtos.SpeakerInfo.Builder
clone() CoreNLPProtos.Timex.Builder
clone() CoreNLPProtos.Token.Builder
clone() CoreNLPProtos.TokenLocation.Builder
clone() IntCounter
clone() FixedPrioritiesPriorityQueue
Returns a clone of this priority queue.
clone() IdentityHashSet
Returns a shallow copy of this IdentityHashSet instance:
the elements themselves are not cloned.
close() CoNLLDocumentReader
close() CoNLL2011DocumentReader
close() BZip2PipedOutputStream
close() ReaderInputStream
Closes the Stringreader.
close() TeeStream
close() PatternsForEachToken
close() PatternsForEachTokenDB
close() PatternsForEachTokenInMemory
close() FilteringTreeReader
Close the Reader behind this TreeReader.
close() FrenchXMLTreeReader
close() SpanishXMLTreeReader
close() PennTreeReader
Closes the underlying Reader used to create this
class.
close() TreeReader
Close the Reader behind this TreeReader.
close() JavaUtilLoggingAdaptor.RedwoodHandler
This is a no-op since Redwood doesn't have this.
close() RedwoodPrintStream
close() SystemUtils.ProcessOutputStream
closeConnection() GoogleNGramsSQLBacked
CLOSED_CLASS_THRESHOLD TaggerConfig
closedRuleIterator() UnaryGrammar
closedRuleIteratorByChild(int) UnaryGrammar
closedRuleIteratorByParent(int) UnaryGrammar
closedRulesByChild(int) UnaryGrammar
closedRulesByParent(int) UnaryGrammar
closeEVALBfiles() EvalbFormatWriter
closeFiles() EvalbFormatWriter
closeIgnoringExceptions(Closeable) IOUtils
Provides an implementation of closing a file for use in a finally block so
you can correctly close a file without even more exception handling stuff.
closeNodeScope(Node, int) JJTTsurgeonParserState
closeNodeScope(Node, boolean) JJTTsurgeonParserState
closest(SUTime.Time, SUTime.Time...) SUTime.Time
ClosestMentionSieve edu.stanford.nlp.quoteattribution.Sieves.QMSieves
Created by mjfang on 7/7/16.
ClosestMentionSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) ClosestMentionSieve
clubNeighboringLabeledWords ConstantsAndVariables
Cluster(int) Clusterer.Cluster
Cluster(Clusterer.Cluster) Clusterer.Cluster
clusterEntityMentions(List<CoreMap>) KBPBasicSpanishCorefSystem
Clusterer edu.stanford.nlp.coref.statistical
System for building up coreference clusters incrementally, merging a pair of clusters each step.
Clusterer() Clusterer
Clusterer(String) Clusterer
Clusterer.Cluster edu.stanford.nlp.coref.statistical
ClustererDataLoader edu.stanford.nlp.coref.statistical
ClustererDataLoader() ClustererDataLoader
ClustererDataLoader.ClustererDoc edu.stanford.nlp.coref.statistical
ClustererDoc(int, Counter<Pair<Integer, Integer>>, Counter<Pair<Integer, Integer>>, Counter<Integer>, Map<Pair<Integer, Integer>, Boolean>, List<List<Integer>>, Map<Integer, String>) ClustererDataLoader.ClustererDoc
clusterID CorefCluster
clusterID CorefCluster
CLUSTERING_MODEL_NAME StatisticalCorefTrainer
ClusteringCorefAlgorithm edu.stanford.nlp.coref.statistical
Builds up coreference clusters incrementally with agglomerative clustering.
ClusteringCorefAlgorithm(Properties, Dictionaries) ClusteringCorefAlgorithm
ClusteringCorefAlgorithm(Properties, Dictionaries, String, String, String, String, String) ClusteringCorefAlgorithm
clusteringModelPath(Properties) StatisticalCorefProperties
clusteringModelsPath StatisticalCorefTrainer
CmdEvaluator edu.stanford.nlp.optimization
Runs a cmdline to evaluate a dataset (assumes cmd takes input from stdin)
CmdEvaluator() CmdEvaluator
CMMClassifier IN extends CoreLabel > - Class in edu.stanford.nlp.ie.ner
Does Sequence Classification using a Conditional Markov Model.
CMMClassifier() CMMClassifier
CMMClassifier(Properties) CMMClassifier
CMMClassifier(SeqClassifierFlags) CMMClassifier
CmpToken() TokenSequenceParser
CNFTransformers edu.stanford.nlp.parser.lexparser
coarseDistance Options
Use coarser distance (4 bins) in dependency calculations
coarseDistanceBin(int) AbstractDependencyGrammar
coarseDistanceBins AbstractDependencyGrammar
CoarseNamedEntityTagAnnotation() CoreAnnotations.CoarseNamedEntityTagAnnotation
COARSENER_FIELD_NUMBER CoreNLPProtos.Token
COARSETAG_FIELD_NUMBER CoreNLPProtos.Token
CoarseTagAnnotation() CoreAnnotations.CoarseTagAnnotation
COLLAPSE_PROPERTY QuantifiableEntityNormalizingAnnotator
collapseApproximate RedwoodConfiguration.Handlers
Collapse records in a heuristic way to make reading easier.
COLLAPSED_OPTIONS UniversalEnglishGrammaticalStructure
Deprecated.
COLLAPSEDCCPROCESSEDDEPENDENCIES_FIELD_NUMBER CoreNLPProtos.Sentence
CollapsedCCProcessedDependenciesAnnotation() SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
Deprecated.
COLLAPSEDDEPENDENCIES_FIELD_NUMBER CoreNLPProtos.Sentence
CollapsedDependenciesAnnotation() SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
Deprecated.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) EnglishGrammaticalStructure
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) GrammaticalStructure
Destructively modify the Collection<TypedDependency> to collapse
language-dependent transitive dependencies.
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) ChineseGrammaticalStructure
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) UniversalChineseGrammaticalStructure
collapseDependencies(List<TypedDependency>, boolean, GrammaticalStructure.Extras) UniversalEnglishGrammaticalStructure
Destructively modifies this Collection<TypedDependency>
by collapsing several types of transitive pairs of dependencies or
by adding additional information from the dependents to the relation
of the governor.
collapseDependenciesTree(List<TypedDependency>) EnglishGrammaticalStructure
collapseDependenciesTree(List<TypedDependency>) GrammaticalStructure
Destructively modify the Collection<TypedDependency> to collapse
language-dependent transitive dependencies but keeping a tree structure.
collapseDependenciesTree(List<TypedDependency>) UniversalEnglishGrammaticalStructure
collapseExact RedwoodConfiguration.Handlers
Collapse records which are duplicates into a single message, followed by a message detailing how many times
it was repeated.
collapseNERLabels(List<CoreLabel>) QuantifiableEntityNormalizer
Currently this populates a
List<CoreLabel> with words from the passed List,
but NER entities are collapsed and
CoreLabel constituents of entities have
NER information in their "quantity" fields.
collapseRef GrammaticalStructure.Extras
collapse the "ref" edges
CollapseUnaryTransformer edu.stanford.nlp.sentiment
This transformer collapses chains of unary nodes so that the top
node is the only node left.
CollapseUnaryTransformer() CollapseUnaryTransformer
collapseWhCategories EnglishTreebankParserParams.EnglishTrain
Collapse WHPP with PP, etc., in training and perhaps in evaluation.
collectionAcceptFilter(E[]) Filters
The collectionAcceptFilter accepts a certain collection.
collectionAcceptFilter(Collection<E>) Filters
The collectionAcceptFilter accepts a certain collection.
CollectionFactory T > - Class in edu.stanford.nlp.util
Factory for vending Collections.
CollectionFactory() CollectionFactory
CollectionFactory.ArrayListFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.HashSetFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.LinkedListFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.SizedArrayListFactory T > - Class in edu.stanford.nlp.util
CollectionFactory.TreeSetFactory T > - Class in edu.stanford.nlp.util
collectionRejectFilter(E[]) Filters
The collectionRejectFilter rejects a certain collection.
collectionRejectFilter(Collection<E>) Filters
The collectionRejectFilter rejects a certain collection.
CollectionUtils edu.stanford.nlp.util
Collection of useful static methods for working with Collections.
CollectionValuedMap K ,V > - Class in edu.stanford.nlp.util
CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) CollectionValuedMap
Creates a new empty CollectionValuedMap.
CollectionValuedMap(CollectionValuedMap<K, V>) CollectionValuedMap
Creates a new CollectionValuedMap with all of the mappings from cvm.
CollectionValuedMap() CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
CollectionValuedMap(CollectionFactory<V>) CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the
underlying Map.
collectOperations(List<TsurgeonPattern>) Tsurgeon
Collects a list of operation patterns into a sequence of operations to be applied.
collectSamples(SequenceModel, int, int) SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
collectSamples(SequenceModel, int, int, int[]) SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined
by the sequence model passed on construction.
collinize(Tree) TreebankAnnotator
collinizer() AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizer() ArabicTreebankParserParams
The collinizer eliminates punctuation
collinizer() ChineseTreebankParserParams
Returns a ChineseCollinizer
collinizer() EnglishTreebankParserParams
The tree transformer used to produce trees for evaluation.
collinizer() FrenchTreebankParserParams
collinizer() HebrewTreebankParserParams
collinizer() NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizer() SpanishTreebankParserParams
collinizer() TreebankLangParserParams
The tree transformer applied to trees prior to evaluation.
collinizer() TueBaDZParserParams
collinizerEvalb() AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizerEvalb() ArabicTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() ChineseTreebankParserParams
Returns a ChineseCollinizer that doesn't delete punctuation
collinizerEvalb() EnglishTreebankParserParams
collinizerEvalb() FrenchTreebankParserParams
collinizerEvalb() HebrewTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizerEvalb() SpanishTreebankParserParams
collinizerEvalb() TreebankLangParserParams
the tree transformer used to produce trees for evaluation.
collinizerEvalb() TueBaDZParserParams
CollinsHeadFinder edu.stanford.nlp.trees
Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsHeadFinder() CollinsHeadFinder
CollinsHeadFinder(TreebankLanguagePack) CollinsHeadFinder
This constructor provides the traditional behavior, where there is
no special avoidance of punctuation categories.
CollinsHeadFinder(TreebankLanguagePack, String...) CollinsHeadFinder
collinsPunc TrainOptions
Promote/delete punctuation like Collins.
CollinsPuncTransformer edu.stanford.nlp.parser.lexparser
This class manipulates punctuation in trees (used with training trees)
in the same manner that Collins manipulated punctuation in trees when
building his parsing model.
CollinsPuncTransformer(TreebankLanguagePack) CollinsPuncTransformer
CollocationFinder edu.stanford.nlp.trees
Finds WordNet collocations in parse trees.
CollocationFinder(Tree, WordNetConnection) CollocationFinder
Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder) CollocationFinder
Construct a new CollocationFinder over the Tree t.
Color edu.stanford.nlp.util.logging
ANSI supported colors.
colorChannel(String, Color) OutputHandler
Color the tag for a particular channel this color
colorToHTML(Color) NERGUI
columnData(Properties) AnnotatorImplementations
Annotate with the column data classifier.
ColumnDataClassifier edu.stanford.nlp.classify
ColumnDataClassifier provides a command-line interface for doing
context-free (independent) classification of a series of data items,
where each data item is represented by a line of
a file, as a list of String variables, in tab-separated columns.
ColumnDataClassifier(String) ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifier(Properties) ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifier(Pair<ColumnDataClassifier.Flags[], Classifier<String, String>>) ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifierAnnotation() CoreAnnotations.ColumnDataClassifierAnnotation
ColumnDataClassifierAnnotator edu.stanford.nlp.pipeline
This annotator takes a properties file that was used to
train a ColumnDataClassifier and creates an annotator that
classifies the text by loading the classifier and running it.
ColumnDataClassifierAnnotator(String) ColumnDataClassifierAnnotator
ColumnDataClassifierAnnotator(Properties) ColumnDataClassifierAnnotator
ColumnDataClassifierAnnotator(String, boolean) ColumnDataClassifierAnnotator
ColumnDocumentReaderAndWriter edu.stanford.nlp.sequences
DocumentReader for column format.
ColumnDocumentReaderAndWriter() ColumnDocumentReaderAndWriter
columnNamesArray() InputPanel.HistoryEntry
columnStringToObject(Class, String, String, String[]) StringUtils
Converts a tab delimited string into an object with given fields
Requires the object has setXxx functions for the specified fields
columnStringToObject(Class<?>, String, Pattern, String[]) StringUtils
Converts a tab delimited string into an object with given fields
Requires the object has public access for the specified fields
ColumnTabDocumentReaderWriter IN extends CoreMap > - Class in edu.stanford.nlp.sequences
Version of ColumnDocumentReaderAndWriter that doesn't read in entire file and
stores it in memory before parsing it.
ColumnTabDocumentReaderWriter() ColumnTabDocumentReaderWriter
CombinationFeatureFactory edu.stanford.nlp.parser.shiftreduce
Combines multiple feature factories into one feature factory
CombinationFeatureFactory(FeatureFactory[]) CombinationFeatureFactory
combinationMode SeqClassifierFlags
combine(CRFClassifier<IN>, double) CRFClassifier
Combines weighted crf with this crf.
combine(Edge, Hook) BiLexPCFGParser
combine(Partial, Partial) JodaTimeUtils
combine(double, double) EditDistance
combine2DArr(double[][], double[][], double) CRFLogConditionalObjectiveFunction
combine2DArr(double[][], double[][]) CRFLogConditionalObjectiveFunction
combine2DArr(double[][], Map<Integer, double[]>) CRFLogConditionalObjectiveFunction
combine2DArr(double[][], Map<Integer, double[]>, double) CRFLogConditionalObjectiveFunction
combineAndScaleLopWeights(int, double[][], double[]) CRFLogConditionalObjectiveFunctionForLOP
combineAndScaleLopWeights2D(int, double[][][], double[]) CRFLogConditionalObjectiveFunctionForLOP
combineClassification RNNOptions
If this option is true, then the binary and unary classification
matrices are combined.
CombinedEvaluator(double) EvalUtils.CombinedEvaluator
combineMoreGeneralFields(Partial, Partial) JodaTimeUtils
combineMoreGeneralFields(Partial, Partial, DateTimeFieldType) JodaTimeUtils
combineObjectRoles(Properties, String) HybridCorefProperties
combineSegmentedSentence(List<CoreLabel>, SeqClassifierFlags) ChineseStringUtils
combo SeqClassifierFlags
comboProps SeqClassifierFlags
COMMA RobustTokenizer
commonAncestor(IndexedWord, IndexedWord) SemanticGraph
Return the maximum distance to a least common ancestor.
commonSpeechWords QMSieve
CommonWordsAnnotation() CoreAnnotations.CommonWordsAnnotation
commonWordsPatternFiles ConstantsAndVariables
Words to be ignored when learning phrases if
removePhrasesWithStopWords or
removeStopWordsFromSelectedPhrases is true.
communicateWithNERServer(String, int, String) NERServer.NERClient
communicateWithNERServer(String, int, String, BufferedReader, BufferedWriter, boolean) NERServer.NERClient
compact() ArrayCoreMap
Reduces memory consumption to the minimum for representing the values
currently stored stored in this object.
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Index<String>) GrammarCompactor
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Map<String, List<List<String>>>, Map<String, List<List<String>>>, Index<String>) GrammarCompactor
Compacts the grammar specified by the Pair.
compactGrammar TrainOptions
How to compact grammars as FSMs.
compactGrammar() TrainOptions
ComparableComparator() ValueFunctions.ComparableComparator
Comparators edu.stanford.nlp.util
compare(CorefChain.CorefMention, CorefChain.CorefMention) CorefChain.CorefMentionComparator
compare(Mention, Mention) CorefChain.MentionComparator
compare(CorefChain.CorefMention, CorefChain.CorefMention) CorefChain.CorefMentionComparator
compare(Mention, Mention) CorefChain.MentionComparator
compare(String, String) MultiWordStringMatcher.LongestStringComparator
compare(T, T) ValueFunctions.ComparableComparator
compare(T, T) ValueFunctions.CompareFunction
compare(Number, Number) ValueFunctions.NumericComparator
compare(Class, Class) Token.ClassComparator
compare(Tree, Tree) TreeLengthComparator
Compare the two objects.
compare(String, String) CoNLLUUtils.FeatureNameComparator
compare(V1, V2) Iterables.IncrementComparator
Returns -1 if the value of a should come before the value of b,
+1 if the value of b should come before the value of a, or 0 if
the two should be merged together.
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.ByFirstPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.ByFirstReversePairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.BySecondPairComparator
compare(Pair<T1, T2>, Pair<T1, T2>) Pair.BySecondReversePairComparator
compare(Scored, Scored) ScoredComparator
compareArrays(T[], T[]) ArrayUtils
Provides a consistent ordering over arrays.
compareBooleanArrays(boolean[], boolean[]) ArrayUtils
CompareFunction(String, Comparator<T>, ValueFunctions.CompareType, Class) ValueFunctions.CompareFunction
compareIntervalOrder(Interval<E>) Interval
Returns order of another interval compared to this one
compareLists(List<T>, List<T>) CollectionUtils
Provides a consistent ordering over lists.
compareTo(RelationTriple) RelationTriple
compareTo(IndexedWord) IndexedWord
NOTE: This compareTo is based on and made to be compatible with the one
from IndexedFeatureLabel.
compareTo(ValueLabel) ValueLabel
Orders by value()'s lexicographic ordering.
compareTo(WordLemmaTag) WordLemmaTag
Orders first by word, then by lemma, then by tag.
compareTo(WordTag) WordTag
Orders first by word, then by tag.
compareTo(BinaryRule) BinaryRule
compareTo(HTKLatticeReader.LatticeWord) HTKLatticeReader.LatticeWord
compareTo(IntTaggedWord) IntTaggedWord
compareTo(UnaryRule) UnaryRule
compareTo(Object) CandidatePhrase
compareTo(Object) ConstantsAndVariables.ScorePhraseMeasures
compareTo(SurfacePattern) SurfacePattern
compareTo(SemanticGraphEdge) SemanticGraphEdge
Compares SemanticGraphEdges.
compareTo(SUTime.Duration) SUTime.Duration
compareTo(SUTime.Time) SUTime.InexactTime
compareTo(SUTime.Time) SUTime.Time
compareTo(GrammaticalRelation) GrammaticalRelation
compareTo(TypedDependency) TypedDependency
compareTo(IntTuple) IntTuple
compareTo(MutableDouble) MutableDouble
Compares two MutableDouble objects numerically.
compareTo(MutableInteger) MutableInteger
Compares two MutableInteger objects numerically.
compareTo(MutableLong) MutableLong
Compares two MutableLong objects numerically.
compareTo(Pair<T1, T2>) Pair
Compares this Pair to another object.
compareTo(Quadruple<T1, T2, T3, T4>) Quadruple
compareTo(Triple<T1, T2, T3>) Triple
compatibleWith(Language) Language
Returns whether these two languages can be considered compatible with each other.
compile(Env, String) SequencePattern
compile(SequencePattern.PatternExpr) SequencePattern
compile(String) TokenSequencePattern
Compiles a regular expression over tokens into a TokenSequencePattern
using the default environment.
compile(Env, String) TokenSequencePattern
Compiles a regular expression over tokens into a TokenSequencePattern
using the specified environment.
compile(String...) TokenSequencePattern
Compiles a sequence of regular expressions into a TokenSequencePattern
using the default environment.
compile(Env, String...) TokenSequencePattern
Compiles a sequence of regular expressions into a TokenSequencePattern
using the specified environment.
compile(SequencePattern.PatternExpr) TokenSequencePattern
Compiles a PatternExpr into a TokenSequencePattern.
compile(String, Env) SemgrexPattern
Creates a pattern from the given string.
compile(String) SemgrexPattern
compile(String) TregexPattern
Creates a pattern from the given string using the default HeadFinder and
BasicCategoryFunction.
compile(String) TregexPatternCompiler
Create a TregexPattern from this tregex string using the headFinder and
basicCat function this TregexPatternCompiler was created with.
compileAnnotations(HeadFinder) TregexPoweredTreebankParserParams
compileStream(InputStream) SemgrexBatchParser
compileStream(InputStream, Env) SemgrexBatchParser
COMPLEMENT EnglishGrammaticalRelations
The "complement" grammatical relation.
COMPLEMENT ChineseGrammaticalRelations
The "comp" grammatical relation.
COMPLEMENT UniversalChineseGrammaticalRelations
The "complement" (comp) grammatical relation.
COMPLEMENT UniversalEnglishGrammaticalRelations
The "complement" grammatical relation.
COMPLEMENTIZER ChineseGrammaticalRelations
The "cp marker" grammatical relation.
ComplexNodePattern M ,K > - Class in edu.stanford.nlp.ling.tokensregex
Pattern for matching a complex data structure
ComplexNodePattern(BiFunction<M, K, Object>, List<Pair<K, NodePattern>>) ComplexNodePattern
ComplexNodePattern(BiFunction<M, K, Object>, Pair<K, NodePattern>...) ComplexNodePattern
ComplexNodePattern(BiFunction<M, K, Object>, K, NodePattern) ComplexNodePattern
ComplexNodePattern.AbstractStringAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.AttributesEqualMatchChecker K > - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.IntegerAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NilAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NotNilAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.NumericAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.SequenceRegexPattern T > - Class in edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringAnnotationPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringAnnotationRegexPattern edu.stanford.nlp.ling.tokensregex
ComplexNodePattern.StringInSetAnnotationPattern edu.stanford.nlp.ling.tokensregex
compose(Map<X, Y>, Map<Y, Z>) Maps
Compose two maps map1:x->y and map2:y->z to get a map x->z
COMPOSITE_EXTRACT_RULE_CREATOR SequenceMatchRules
COMPOSITE_KEYS_FUNCTION ValueFunctions
COMPOSITE_RULE_TYPE SequenceMatchRules
COMPOSITE_VALUE_FUNCTION ValueFunctions
CompositeExtractRuleCreator() SequenceMatchRules.CompositeExtractRuleCreator
CompositeFieldValue(Env) TokenSequenceParser
CompositePartialTime(SUTime.PartialTime, SUTime.Time, SUTime.Time, SUTime.Time) SUTime.CompositePartialTime
CompositePartialTime(SUTime.PartialTime, Partial, SUTime.Time, SUTime.Time, SUTime.Time) SUTime.CompositePartialTime
CompositeTreebank edu.stanford.nlp.trees
CompositeTreebank(Treebank, Treebank) CompositeTreebank
CompositeTreeTransformer edu.stanford.nlp.trees
A TreeTransformer that applies component TreeTransformers in order.
CompositeTreeTransformer() CompositeTreeTransformer
CompositeTreeTransformer(List<TreeTransformer>) CompositeTreeTransformer
CompositeValue(String...) Expressions.CompositeValue
CompositeValue(Map<String, Expression>, boolean, String...) Expressions.CompositeValue
COMPOUND UniversalChineseGrammaticalRelations
The "compound" grammatical relation (abstract).
COMPOUND_MODIFIER UniversalEnglishGrammaticalRelations
The "compound modifier" grammatical relation.
compoundUnaries ShiftReduceOptions
CompoundUnaryTransition edu.stanford.nlp.parser.shiftreduce
Transition that makes a compound unary parse node in a partially
finished tree.
CompoundUnaryTransition(List<String>, boolean) CompoundUnaryTransition
compress(Counter<K>) Compressor
CompressedFeatureVector edu.stanford.nlp.coref.statistical
CompressedFeatureVector(List<Integer>, List<Double>) CompressedFeatureVector
Compressor K > - Class in edu.stanford.nlp.coref.statistical
Converts a
Counter<K> to a
CompressedFeatureVector (i.e., parallel lists of integer
keys and double values), which takes up much less memory.
Compressor() Compressor
compressorFile StatisticalCorefTrainer
compute(double[], double[]) LogPrior
Adjust the given grad array by adding the prior's gradient component
and return the value of the logPrior
compute(Boolean...) ValueFunctions.BooleanFunction
compute(Number...) ValueFunctions.NumericFunction
compute(String...) ValueFunctions.StringFunction
compute() Lazy
Compute the value of this lazy.
computeAccuracy(Stream<Pair<KBPRelationExtractor.KBPInput, String>>, Optional<PrintStream>) KBPRelationExtractor
computeAllPatterns ConstantsAndVariables
If all patterns should be computed.
computeAverage(ToDoubleFunction<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>>) CrossValidator
This computes the average over all folds of the function we're trying to optimize.
computeCliquePotential(int, int, int[], double[], int) CliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) LinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) NoisyLabelLinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) NonLinearCliquePotentialFunction
computeCliquePotential(int, int, int[], double[], int) NonLinearSecondOrderCliquePotentialFunction
computeCostFunction(int, double, double) Classifier
Determine the total cost on the dataset associated with this
classifier using the current learned parameters.
computeFeatSimilarity MachineReadingProperties
computeInputPrior(Map<String, List<List<String>>>) GrammarCompactor
computeLambda(TransducerGraph) QuasiDeterminizer
Takes time linear in number of arcs.
computeRawFreqIfNull(int, boolean) Data
computeRawFreqIfNull(Map<String, DataInstance>, int) Data
computeStochastic(double[], double[], double) LogPrior
CONCAT CoreMapAttributeAggregator
concat(IntTuple, IntTuple) IntTuple
CONCAT_COREMAP CoreMapAttributeAggregator
CONCAT_FUNCTION ValueFunctions
CONCAT_TEXT CoreMapAttributeAggregator
CONCAT_TOKENS CoreMapAttributeAggregator
ConcatAggregator(String) CoreMapAttributeAggregator.ConcatAggregator
ConcatCoreMapListAggregator() CoreMapAttributeAggregator.ConcatCoreMapListAggregator
ConcatCoreMapListAggregator(boolean) CoreMapAttributeAggregator.ConcatCoreMapListAggregator
concatenate(SimpleMatrix...) NeuralUtils
Concatenates several column vectors into one large column vector
concatenate(T[], T[]) ArrayUtils
Concatenates two arrays and returns the result
concatenateTypes(String, String) ExtractionObject
Concatenates two types
concatenateWithBias(SimpleMatrix...) NeuralUtils
Concatenates several column vectors into one large column
vector, adds a 1.0 at the end as a bias term
ConcatenationIterator T > - Class in edu.stanford.nlp.util
Iterator that represents the concatenation of two other iterators.
ConcatenationIterator(Iterator<T>, Iterator<T>) ConcatenationIterator
concatIterators(Iterator<E>...) CollectionUtils
Concatenate a number of iterators together, to form one big iterator.
ConcatListAggregator() CoreMapAttributeAggregator.ConcatListAggregator
ConcatTextAggregator(String) CoreMapAttributeAggregator.ConcatTextAggregator
CONCURRENT_MAP_FACTORY MapFactory
ConcurrentHashIndex E > - Class in edu.stanford.nlp.util.concurrent
A fast threadsafe index that supports constant-time lookup in both directions.
ConcurrentHashIndex() ConcurrentHashIndex
Constructor.
ConcurrentHashIndex(int) ConcurrentHashIndex
Constructor.
CONDENSE CRFLogConditionalObjectiveFunction
condense() Weight
CondExpression(Env) TokenSequenceParser
CondGroup(Env) TokenSequenceParser
ConditionalExpression(Expression) Expressions.ConditionalExpression
ConditionalExpression(String, Expression, Expression) Expressions.ConditionalExpression
conditionalize(List<K>) GeneralizedCounter
returns a GeneralizedCounter conditioned on the objects in the
List argument.
conditionalizeOnce(K) GeneralizedCounter
Returns a GeneralizedCounter conditioned on the given top level object.
conditionalLogProb(int[], int) FloatFactorTable
conditionalLogProbGivenFirst(int, int[]) FactorTable
Computes the probability of the sequence OF being at the end of the table
given that the first tag in table is GIVEN.
conditionalLogProbGivenNext(int[], int) FactorTable
Computes the probability of the tag OF being at the beginning of the table
given that the tag sequence GIVEN is at the end of the table.
conditionalLogProbGivenPrevious(int[], int) FactorTable
Computes the probability of the tag OF being at the end of the table given
that the previous tag sequence in table is GIVEN.
conditionalLogProbsGivenPrevious(int[]) FactorTable
Computes the probabilities of the tag at the end of the table given that
the previous tag sequence in table is GIVEN.
conditionalSuffix(String) SpanishUnknownWordSignatures
condLogProbGivenNext(int, int, int[]) CRFCliqueTree
condLogProbGivenNext(int, E, E[]) CRFCliqueTree
condLogProbGivenPrevious(int, int, int[]) CRFCliqueTree
Gives the probability of a tag at a single position conditioned on a
sequence of previous labels.
condLogProbGivenPrevious(int, E, E[]) CRFCliqueTree
condLogProbsGivenNext(int, int[]) CRFCliqueTree
condLogProbsGivenNext(int, E[]) CRFCliqueTree
condLogProbsGivenPrevious(int, int[]) CRFCliqueTree
condLogProbsGivenPrevious(int, E[]) CRFCliqueTree
condProbGivenNext(int, int, int[]) CRFCliqueTree
condProbGivenNext(int, E, E[]) CRFCliqueTree
condProbGivenPrevious(int, int, int[]) CRFCliqueTree
condProbGivenPrevious(int, E, E[]) CRFCliqueTree
confidence RelationTriple
An optional score (confidence) for this triple
CONFIDENCE_FIELD_NUMBER CoreNLPProtos.RelationTriple
confidenceGloss() RelationTriple
A textual representation of the confidence.
confidenceWeightedAccuracy() MultiClassAccuracyStats
Config edu.stanford.nlp.parser.nndep
Defines configuration settings for training and testing the
neural-network dependency parser.
Config(Properties) Config
ConfigParser edu.stanford.nlp.trees.treebank
ConfigParser(String) ConfigParser
Configuration edu.stanford.nlp.parser.nndep
Describe the current configuration of a parser (i.e., parser state).
Configuration(Configuration) Configuration
Configuration(CoreMap) Configuration
configuredOptions AbstractDataset
confusion KBPRelationExtractor.Accuracy
confusionMatrix SeqClassifierFlags
ConfusionMatrix U > - Class in edu.stanford.nlp.util
This implements a confusion table over arbitrary types of class labels.
ConfusionMatrix() ConfusionMatrix
ConfusionMatrix(Locale) ConfusionMatrix
ConfusionMatrix.Contingency edu.stanford.nlp.util
Contingency table, listing precision ,recall, specificity, and f1 given
the number of true and false positives, true and false negatives.
ConjFilter(List<Predicate<T>>) Filters.ConjFilter
ConjFilter(Predicate<T>...) Filters.ConjFilter
ConjNodePattern(List<NodePattern<T>>) NodePattern.ConjNodePattern
conjoinShapeNGrams SeqClassifierFlags
conjugateEnglish(String, boolean) VerbTense
Apply this tense to the given verb.
conjugateEnglish(String) VerbTense
conjugateEnglish(CoreLabel, boolean) VerbTense
conjugateEnglish(CoreLabel) VerbTense
CONJUNCT EnglishGrammaticalRelations
The "conjunct" grammatical relation.
CONJUNCT ChineseGrammaticalRelations
The "conjunct" grammatical relation.
CONJUNCT UniversalChineseGrammaticalRelations
The "conjunct" (conj) grammatical relation.
CONJUNCT UniversalEnglishGrammaticalRelations
The "conjunct" grammatical relation.
conll(Properties) CorefProperties
When conll() is true, coref models:
Use provided POS, NER, Parsing, etc.
CONLL2011_PROP Constants
CoNLL2011DocumentReader edu.stanford.nlp.dcoref
Read _conll file format from CoNLL2011.
CoNLL2011DocumentReader(String) CoNLL2011DocumentReader
CoNLL2011DocumentReader(String, CoNLL2011DocumentReader.Options) CoNLL2011DocumentReader
CoNLL2011DocumentReader.CorefMentionAnnotation edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.CorpusStats edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.Document edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.NamedEntityAnnotation edu.stanford.nlp.dcoref
CoNLL2011DocumentReader.Options edu.stanford.nlp.dcoref
Flags
CONLL_OUTPUT_PROP Constants
CONLL_SCORER Constants
CoNLLDepAnnotation() CoreAnnotations.CoNLLDepAnnotation
CoNLLDepParentIndexAnnotation() CoreAnnotations.CoNLLDepParentIndexAnnotation
CoNLLDepTypeAnnotation() CoreAnnotations.CoNLLDepTypeAnnotation
conllDoc Document
for conll shared task 2011
conllDoc InputDoc
optional for CoNLL document
conllDoc Document
for conll shared task 2011
CoNLLDocument() CoNLLDocumentReader.CoNLLDocument
CoNLLDocumentReader edu.stanford.nlp.coref.docreader
Read _conll file format from CoNLL2011.
CoNLLDocumentReader(String) CoNLLDocumentReader
CoNLLDocumentReader(String, CoNLLDocumentReader.Options) CoNLLDocumentReader
CoNLLDocumentReader.CoNLLDocument edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.CorefMentionAnnotation edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.CorpusStats edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.NamedEntityAnnotation edu.stanford.nlp.coref.docreader
CoNLLDocumentReader.Options edu.stanford.nlp.coref.docreader
Flags
CoNLLDocumentReaderAndWriter edu.stanford.nlp.sequences
DocumentReader for the original CoNLL 03 format.
CoNLLDocumentReaderAndWriter() CoNLLDocumentReaderAndWriter
conllMentionEvalScript Constants
Default path for conll scorer script
conllMentionEvalScript SieveCoreferenceSystem
Path for the official CoNLL scorer
CoNLLMentionExtractor edu.stanford.nlp.dcoref
Extracts coref mentions from CoNLL2011 data files.
CoNLLMentionExtractor(Dictionaries, Properties, Semantics) CoNLLMentionExtractor
CoNLLMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) CoNLLMentionExtractor
conllOutputPath(Properties) CorefProperties
CoNLLOutputter edu.stanford.nlp.pipeline
Write a subset of our CoreNLP output in CoNLL format.
CoNLLOutputter() CoNLLOutputter
CoNLLOutputter(String) CoNLLOutputter
CoNLLPredicateAnnotation() CoreAnnotations.CoNLLPredicateAnnotation
conllPrint(Annotation, OutputStream) CoNLLOutputter
conllPrint(Annotation, OutputStream, StanfordCoreNLP) CoNLLOutputter
conllPrint(Annotation, OutputStream, AnnotationOutputter.Options) CoNLLOutputter
conllPrint(Annotation, Writer) StanfordCoreNLP
Displays the output of many annotators in CoNLL format.
CoNLLSRLAnnotation() CoreAnnotations.CoNLLSRLAnnotation
CoNLLUDocumentReader edu.stanford.nlp.trees.ud
Reader for ConLL-U formatted dependency treebanks.
CoNLLUDocumentReader() CoNLLUDocumentReader
CoNLLUDocumentWriter edu.stanford.nlp.trees.ud
CoNLLUDocumentWriter() CoNLLUDocumentWriter
CoNLLUFeats() CoreAnnotations.CoNLLUFeats
CONLLUFEATURES_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUMisc() CoreAnnotations.CoNLLUMisc
CONLLUMISC_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUOutputter edu.stanford.nlp.pipeline
Write a subset of our CoreNLP output in CoNLL-U format.
CoNLLUOutputter() CoNLLUOutputter
conllUPrint(Annotation, OutputStream) CoNLLUOutputter
conllUPrint(Annotation, OutputStream, StanfordCoreNLP) CoNLLUOutputter
conllUPrint(Annotation, OutputStream, AnnotationOutputter.Options) CoNLLUOutputter
CONLLUSECONDARYDEPS_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUSecondaryDepsAnnotation() CoreAnnotations.CoNLLUSecondaryDepsAnnotation
CONLLUTOKENSPAN_FIELD_NUMBER CoreNLPProtos.Token
CoNLLUTokenSpanAnnotation() CoreAnnotations.CoNLLUTokenSpanAnnotation
CoNLLUUtils edu.stanford.nlp.trees.ud
Utility functions for reading and writing CoNLL-U files.
CoNLLUUtils() CoNLLUUtils
CoNLLUUtils.FeatureNameComparator edu.stanford.nlp.trees.ud
CoNLLX_FieldCount GrammaticalStructure
CoNLLX_GovField GrammaticalStructure
CoNLLX_POSField GrammaticalStructure
CoNLLX_RelnField GrammaticalStructure
CoNLLX_WordField GrammaticalStructure
ConnectedComponents V ,E > - Class in edu.stanford.nlp.graph
Finds connected components in the graph, currently uses inefficient list for
variable 'verticesLeft'.
ConnectedComponents() ConnectedComponents
consistencyCheck MachineReadingProperties
console(String, Consumer<String>) IOUtils
Start a simple console.
console(Consumer<String>) IOUtils
constant(double) SimpleLinearClassifier
Constants edu.stanford.nlp.dcoref
Constants() Constants
ConstantsAndVariables edu.stanford.nlp.patterns
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) ConstantsAndVariables
ConstantsAndVariables(Properties, Map<String, Set<CandidatePhrase>>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) ConstantsAndVariables
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>) ConstantsAndVariables
ConstantsAndVariables(Properties, String, Class<? extends TypesafeMap.Key<String>>) ConstantsAndVariables
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>) ConstantsAndVariables
ConstantsAndVariables.DataSentsIterator edu.stanford.nlp.patterns
ConstantsAndVariables.PatternForEachTokenWay edu.stanford.nlp.patterns
ConstantsAndVariables.PatternIndexWay edu.stanford.nlp.patterns
ConstantsAndVariables.ScorePhraseMeasures edu.stanford.nlp.patterns
constituencyParse() CoreSentence
constituency parse
Constituent edu.stanford.nlp.trees
A Constituent object defines a generic edge in a graph.
Constituent() Constituent
ConstituentFactory edu.stanford.nlp.trees
A ConstituentFactory is a factory for creating objects
of class Constituent, or some descendent class.
constituentFactory() LabeledConstituent
Return a factory for this kind of constituent.
constituentFactory() LabeledScoredConstituent
Return a factory for this kind of constituent.
constituentFactory() SimpleConstituent
Return a factory for this kind of constituent.
constituentFactory() Span
Return a factory for this kind of constituent.
constituents() Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory) Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, int) Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean) Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean, Predicate<Tree>) Tree
constituentTreePrinter AnnotationOutputter.Options
How to print a constituent tree
ConstraintAnnotation() ParserAnnotations.ConstraintAnnotation
constraints ExhaustivePCFGParser
When you want to force the parser to parse a particular
subsequence into a particular state.
constructEntityMention(String, CoreMap, Span, Span, String, String, String) EntityMentionFactory
Always use this method to construct EntityMentions
Other factories that inherit from this (e.g., NFLEntityMentionFactory) may override this
constructRelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>, Counter<String>) RelationMentionFactory
Always use this method to construct RelationMentions
Other factories that inherit from this (e.g., NFLRelationFactory) may override this
constructSentenceRelationMentions() AceDocument
constVars GetPatternsFromDataMultiClass
contains(String) RobustTokenizer.AbbreviationMap
contains(EventMention) EventMention
contains(Span) Span
Returns true if this span contains otherSpan.
contains(int) Span
Returns true if i is inside this span.
contains(ISODateInstance) ISODateInstance
Returns true iff this date
contains the date represented by other.
contains(Object) PhraseTable.PhraseStringCollection
contains(int[], int) ArrayMath
contains(Object) ObjectBank
Can be slow.
contains(String) Person
contains(Object) ObjectBankWrapper
contains(SUTime.Range) SUTime.Range
Checks if the provided range r is within the current range.
contains(SUTime.Time) SUTime.Range
Checks if the provided time is within the current range.
contains(SUTime.Time) SUTime.Time
contains(Constituent) Constituent
Detects whether this constituent contains a constituent, that is
whether they are nested.
contains(T[], T) ArrayUtils
Returns true iff object o equals (not ==) some element of array a.
contains(Object) BinaryHeapPriorityQueue
Returns whether the queue contains the given key.
contains(Object) ConcurrentHashIndex
contains(Object) DeltaIndex
contains(Object) HashIndex
Checks whether an Object already has an index in the Index
contains(Object) IdentityHashSet
Returns true if this set contains the specified element.
contains(Object) Index
contains(E) Interval
Checks whether the point p is contained inside this interval.
contains(Interval<E>) Interval
contains(Object) IntervalTree
contains(T) IntervalTree
contains(Object) MaxSizeConcurrentHashSet
contains(K1, K2, K3) ThreeDimensionalMap
contains(K1, K2) TwoDimensionalMap
contains(K1, K2) TwoDimensionalSet
contains(String) ChineseDictionary
contains(String) CorpusDictionary
CONTAINS_FIRST_ENDPOINTS_COMPARATOR HasInterval
containsAll(Collection<?>) PhraseTable.PhraseStringCollection
containsAll(Collection<?>) ObjectBank
Can be slow.
containsAll(Collection<?>) ObjectBankWrapper
containsAll(Collection<?>) MaxSizeConcurrentHashSet
containsAll(TwoDimensionalSet<? extends K1, ? extends K2>) TwoDimensionalSet
containsAny(Collection<T>, Collection<T>) CollectionUtils
if any item in toCheck is present in collection
containsEdge(IndexedWord, IndexedWord) SemanticGraph
containsEdge(SemanticGraphEdge) SemanticGraph
containsFirstKey(K1) TwoDimensionalCounter
containsFuzzy(Set<CandidatePhrase>, CandidatePhrase, int) ConstantsAndVariables
containsIgnoreCase(Collection<String>, String) StringUtils
Convenience method: a case-insensitive variant of Collection.contains.
containsInSubarray(int[], int, int, int) ArrayMath
containsInterval(T, boolean) IntervalTree
containsInterval(IntervalTree<E, T>, E, boolean) IntervalTree
containsInterval(IntervalTree<E, T>, Interval<E>, boolean) IntervalTree
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) IndexedWord
containsKey(Object) BoundedCostOrderedMap
containsKey(Object) TrieMap
containsKey(Object) PhraseTable
containsKey(E) ClassicCounter
Returns whether a Counter contains a key.
containsKey(E) Counter
Returns whether a Counter contains a key.
containsKey(E) Distribution
containsKey(List<K>) GeneralizedCounter
Like
ClassicCounter, this currently returns true if the count is
explicitly 0.0 for something
containsKey(E) IntCounter
containsKey(K1, K2) TwoDimensionalCounter
containsKey(K1, K2) TwoDimensionalCounterInterface
containsKey(K1, K2) TwoDimensionalIntCounter
containsKey(String) ChineseEnglishWordMap
Does the word exist in the dictionary?
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) ArrayCoreMap
Returns true if contains the given key.
containsKey(Object) CollectionValuedMap
containsKey(Object) DeltaMap
This is more expensive.
containsKey(U) MapList
containsKey(K1) TwoDimensionalCollectionValuedMap
containsKey(K1) TwoDimensionalMap
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) TypesafeMap
Returns true if contains the given key.
containsMention(Mention) SpeakerInfo
containsMention(Mention) SpeakerInfo
ContainsMessage(String) LogFilter.ContainsMessage
containsObject(Collection<T>, T) CollectionUtils
Checks whether a Collection contains a specified Object.
containsOpen(E) Interval
containsSentId(String) PatternsForEachTokenDB
containsSentId(String) PatternsForEachTokenInMemory
containsValue(Object) BoundedCostOrderedMap
containsValue(Object) TrieMap
containsValue(Object) CollectionValuedMap
Unsupported.
containsValue(IntervalTree<E, T>, T) IntervalTree
containsVertex(V) DirectedMultiGraph
containsVertex(V) Graph
containsVertex(IndexedWord) SemanticGraph
containsWord(String) Embedding
content Redwood.Record
context MatchedExpression
Function indicating how to extract an value from annotation built from this expression
contextIncompatible(Mention, Mention, Dictionaries) CorefRules
contextIncompatible(Mention, Mention, Dictionaries) Rules
contextParseTree Mention
contextParseTree Mention
ContextsAnnotation() CoreAnnotations.ContextsAnnotation
Contingency(int, int, int, int) ConfusionMatrix.Contingency
ContinuationSymbol IOBUtils
continuingInputs() DFSAState
CONTROLLED_SUBJECT ChineseGrammaticalRelations
The "xsubj" grammatical relation.
CONTROLLED_SUBJECT UniversalChineseGrammaticalRelations
The "xsubj" grammatical relation, replaced with "nsubj:xsubj".
CONTROLLING_CLAUSAL_PASSIVE_SUBJECT UniversalEnglishGrammaticalRelations
The "controlling clausal passive subject" relation.
CONTROLLING_CLAUSAL_SUBJECT UniversalEnglishGrammaticalRelations
The "controlling clausal subject" relation.
CONTROLLING_NOMINAL_PASSIVE_SUBJECT UniversalEnglishGrammaticalRelations
The "controlling nominal passive subject" relation.
CONTROLLING_NOMINAL_SUBJECT UniversalEnglishGrammaticalRelations
The "controlling nominal subject" relation.
ConversationalSieve edu.stanford.nlp.quoteattribution.Sieves.QMSieves
Created by mjfang on 7/7/16.
ConversationalSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) ConversationalSieve
ConversionOptions() JodaTimeUtils.ConversionOptions
convert(String) DataFilePaths
ConvertByteArray edu.stanford.nlp.util
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
convertGrammarToGraphs(Pair<UnaryGrammar, BinaryGrammar>, Set<UnaryRule>, Set<BinaryRule>) GrammarCompactor
convertGraphsToGrammar(Set<TransducerGraph>, Set<UnaryRule>, Set<BinaryRule>) GrammarCompactor
convertIntermediateGraph(List<CoreLabel>) AnnotationSerializer.IntermediateSemanticGraph
convertItemSpan(Item) LatticeScorer
convertPath(List<V>, boolean) DirectedMultiGraph
convertStringEquality(List<Collection<TypedDependency>>) DependencyScoring
convertStringPhrases(Collection<String>) CandidatePhrase
convertTextMatrix(String) NeuralUtils
convertToBytes(List<Tree>) CacheParseHypotheses
convertToBytes(IdentityHashMap<Tree, List<Tree>>) CacheParseHypotheses
convertToCoreLabels(Tree) GenericDataSetReader
Converts the tree labels to CoreLabels.
convertToCoreLabels(Tree) Trees
Converts the tree labels to CoreLabels.
convertToString(Collection<CandidatePhrase>) CandidatePhrase
convertToTrees(byte[]) CacheParseHypotheses
convertToTrees(IdentityHashMap<Tree, byte[]>, int) CacheParseHypotheses
convertToTrees(Collection<Tree>, IdentityHashMap<Tree, byte[]>, int) CacheParseHypotheses
convertToUPOS GrammaticalStructureConversionUtils.ConverterOptions
convertTree(List<Integer>, List<String>, Map<List<String>, Integer>, Map<Integer, Double>, PTBEscapingProcessor, int) ReadSentimentDataset
convertTrees(String[], String) GrammaticalStructureConversionUtils
Given sentences or trees, output the typed dependencies.
convertValueToBoolean(Value, boolean) Expressions
convertValueToBooleanValue(Value, boolean) Expressions
CoolingSchedule edu.stanford.nlp.sequences
CoolingSchedule() CoolingSchedule
COORDINATION EnglishGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION ChineseGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION UniversalChineseGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION UniversalEnglishGrammaticalRelations
The "coordination" grammatical relation.
CoordinationPattern edu.stanford.nlp.semgraph.semgrex
CoordinationPattern(boolean, List<SemgrexPattern>, boolean) CoordinationPattern
CoordinationTransformer edu.stanford.nlp.trees
Coordination transformer transforms a PennTreebank tree containing
a coordination in a flat structure in order to get the dependencies
right.
CoordinationTransformer(HeadFinder) CoordinationTransformer
CoordinationTransformer(HeadFinder, boolean) CoordinationTransformer
Constructor
COPULA EnglishGrammaticalRelations
The "copula" grammatical relation.
COPULA UniversalChineseGrammaticalRelations
The "copula" grammatical relation.
COPULA UniversalEnglishGrammaticalRelations
The "copula" grammatical relation.
CopulaHeadFinder edu.stanford.nlp.trees
A mix-in interface for HeadFinders which support the
makesCopulaHead method, which says how the HeadFinder in question
handles "to be" verbs.
copularVerbs EnglishPatterns
copularWordRegex EnglishPatterns
copulas Dictionaries
copulas Dictionaries
copulasEn WordLists
copulasZh WordLists
copy() BasicSequenceMatchResult
copy() SequencePattern.AndPatternExpr
copy() SequencePattern.BackRefPatternExpr
copy() SequencePattern.GroupPatternExpr
copy() SequencePattern.MultiNodePatternExpr
copy() SequencePattern.NodePatternExpr
copy() SequencePattern.OrPatternExpr
copy() SequencePattern.PatternExpr
Make a deep copy of the sequence pattern expressions
copy() SequencePattern.RepeatPatternExpr
copy() SequencePattern.SequencePatternExpr
copy() SequencePattern.SpecialNodePatternExpr
copy() SequencePattern.ValuePatternExpr
copy(float[], float[]) AbstractCachingDiffFloatFunction
copy(double[], double[]) AbstractCachingDiffFunction
copy() PatternToken
copy() Annotation
Copies the map, but not a deep copy.
copy(int[]) SequenceGibbsSampler
copy(TsurgeonMatcher, TreeFactory, LabelFactory) AuxiliaryTree
Copies the Auxiliary tree.
copy(long[]) ArrayUtils
copy(int[]) ArrayUtils
copy(int[][]) ArrayUtils
copy(double[]) ArrayUtils
copy(double[][]) ArrayUtils
copy(double[][][]) ArrayUtils
copy(float[]) ArrayUtils
copy(float[][]) ArrayUtils
copy(float[][][]) ArrayUtils
COPYANNOTATION_FIELD_NUMBER CoreNLPProtos.DependencyGraph.Node
copyCount() IndexedWord
COPYCOUNT_FIELD_NUMBER CoreNLPProtos.IndexedWord
copyDocument() NERGUI
copyFile(File, File) FileSystem
Copies a file.
copyLexicalizedParser(LexicalizedParser) LexicalizedParser
copyNewToken() SurfacePattern
copyTokens(List<CoreLabel>, CoreMap) NumberSequenceClassifier
Create a copy of srcTokens, detecting on the fly if character offsets need adjusting
copyUnsetAnnotations(CoreMap, CoreMap) ChunkAnnotationUtils
Copies annotation over to this CoreMap if not already set.
CoreAnnotation V > - Interface in edu.stanford.nlp.ling
The base class for any annotation that can be marked on a
CoreMap,
parameterized by the type of the value associated with the annotation.
CoreAnnotations edu.stanford.nlp.ling
Set of common annotations for
CoreMaps.
CoreAnnotations.AbbrAnnotation edu.stanford.nlp.ling
CoreAnnotations.AbgeneAnnotation edu.stanford.nlp.ling
CoreAnnotations.AbstrAnnotation edu.stanford.nlp.ling
CoreAnnotations.AfterAnnotation edu.stanford.nlp.ling
Annotation for the whitespace characters appear after this word.
CoreAnnotations.AnswerAnnotation edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.AnswerObjectAnnotation edu.stanford.nlp.ling
CoreAnnotations.AntecedentAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.ArabicCharAnnotation edu.stanford.nlp.ling
for Arabic: character level information, segmentation
CoreAnnotations.ArabicSegAnnotation edu.stanford.nlp.ling
For Arabic: the segmentation information from the segmenter.
CoreAnnotations.ArgDescendentAnnotation edu.stanford.nlp.ling
CoreAnnotations.ArgumentAnnotation edu.stanford.nlp.ling
The standard key for a propbank label which is of type Argument
CoreAnnotations.AuthorAnnotation edu.stanford.nlp.ling
Author for the document
(really should be a set of authors, but just have single string for simplicity)
CoreAnnotations.BagOfWordsAnnotation edu.stanford.nlp.ling
CoreAnnotations.BeAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.BeforeAnnotation edu.stanford.nlp.ling
Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeginIndexAnnotation edu.stanford.nlp.ling
This indexes the beginning of a span of words, e.g., a constituent in a
tree.
CoreAnnotations.BestCliquesAnnotation edu.stanford.nlp.ling
Used in Task3 Pascal system
CoreAnnotations.BestFullAnnotation edu.stanford.nlp.ling
CoreAnnotations.CalendarAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the date and time associated with an
annotation.
CoreAnnotations.CanonicalEntityMentionIndexAnnotation edu.stanford.nlp.ling
index into the list of entity mentions in a document for canonical entity mention
...this is primarily for linking entity mentions to their canonical entity mention
CoreAnnotations.CategoryAnnotation edu.stanford.nlp.ling
CoreAnnotations.CategoryFunctionalTagAnnotation edu.stanford.nlp.ling
The standard key for storing category with functional tags.
CoreAnnotations.CharacterOffsetBeginAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the offset of the first char of an
annotation.
CoreAnnotations.CharacterOffsetEndAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the offset of the last character after the end
of an annotation.
CoreAnnotations.CharAnnotation edu.stanford.nlp.ling
CoreAnnotations.ChineseCharAnnotation edu.stanford.nlp.ling
For Chinese: character level information, segmentation.
CoreAnnotations.ChineseIsSegmentedAnnotation edu.stanford.nlp.ling
Not sure exactly what this is, but it is different from
ChineseSegAnnotation and seems to indicate if the text is segmented
CoreAnnotations.ChineseOrigSegAnnotation edu.stanford.nlp.ling
For Chinese: the segmentation info existing in the original text.
CoreAnnotations.ChineseSegAnnotation edu.stanford.nlp.ling
For Chinese: the segmentation information from the segmenter.
CoreAnnotations.ChunkAnnotation edu.stanford.nlp.ling
CoreAnnotations.CoarseNamedEntityTagAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the coarse named entity tag (i.e.
CoreAnnotations.CoarseTagAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - coarser POS tags.
CoreAnnotations.ColumnDataClassifierAnnotation edu.stanford.nlp.ling
CoreAnnotations.CommonWordsAnnotation edu.stanford.nlp.ling
CoreAnnotations.CoNLLDepAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
CoreAnnotations.CoNLLDepParentIndexAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - the index of the word which is the parent of this word
in the dependency tree
CoreAnnotations.CoNLLDepTypeAnnotation edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type, such as SBJ or OBJ.
CoreAnnotations.CoNLLPredicateAnnotation edu.stanford.nlp.ling
CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLSRLAnnotation edu.stanford.nlp.ling
CoNLL SRL/dep parsing - map which, for the current word, specifies its
specific role for each predicate
CoreAnnotations.CoNLLUFeats edu.stanford.nlp.ling
CoNLL-U dep parsing - List of morphological features
CoreAnnotations.CoNLLUMisc edu.stanford.nlp.ling
CoNLL-U dep parsing - Any other annotation
CoreAnnotations.CoNLLUSecondaryDepsAnnotation edu.stanford.nlp.ling
CoNLL-U dep parsing - List of secondary dependencies
CoreAnnotations.CoNLLUTokenSpanAnnotation edu.stanford.nlp.ling
CoNLL-U dep parsing - span of multiword tokens
CoreAnnotations.ContextsAnnotation edu.stanford.nlp.ling
CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation edu.stanford.nlp.ling
mapping from coref mentions to corresponding ner derived entity mentions
CoreAnnotations.CostMagnificationAnnotation edu.stanford.nlp.ling
Key for relative value of a word - used in RTE
CoreAnnotations.CovertIDAnnotation edu.stanford.nlp.ling
CoreAnnotations.D2_LBeginAnnotation edu.stanford.nlp.ling
CoreAnnotations.D2_LEndAnnotation edu.stanford.nlp.ling
CoreAnnotations.D2_LMiddleAnnotation edu.stanford.nlp.ling
CoreAnnotations.DayAnnotation edu.stanford.nlp.ling
CoreAnnotations.DependentsAnnotation edu.stanford.nlp.ling
CoreAnnotations.DictAnnotation edu.stanford.nlp.ling
CoreAnnotations.DistSimAnnotation edu.stanford.nlp.ling
CoreAnnotations.DoAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.DocDateAnnotation edu.stanford.nlp.ling
CoreAnnotations.DocIDAnnotation edu.stanford.nlp.ling
This refers to the unique identifier for a "document", where document may
vary based on your application.
CoreAnnotations.DocSourceTypeAnnotation edu.stanford.nlp.ling
Document source type
What kind of place did the document come from: newswire, discussion forum, web...
CoreAnnotations.DocTitleAnnotation edu.stanford.nlp.ling
Document title
What is the document title
CoreAnnotations.DocTypeAnnotation edu.stanford.nlp.ling
Document type
What kind of document is it: story, multi-part article, listing, email, etc
CoreAnnotations.DomainAnnotation edu.stanford.nlp.ling
Used in CRFClassifier stuff PositionAnnotation should possibly be an int -
it's present as either an int or string depending on context CharAnnotation
may be "CharacterAnnotation" - not sure
CoreAnnotations.EndIndexAnnotation edu.stanford.nlp.ling
This indexes the end of a span of words, e.g., a constituent in a
tree.
CoreAnnotations.EntityClassAnnotation edu.stanford.nlp.ling
CoreAnnotations.EntityMentionIndexAnnotation edu.stanford.nlp.ling
index into the list of entity mentions in a document
CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation edu.stanford.nlp.ling
mapping from ner derived entity mentions to coref mentions
CoreAnnotations.EntityRuleAnnotation edu.stanford.nlp.ling
CoreAnnotations.EntityTypeAnnotation edu.stanford.nlp.ling
CoreAnnotations.ExceptionAnnotation edu.stanford.nlp.ling
Stores an exception associated with processing this document
CoreAnnotations.FeaturesAnnotation edu.stanford.nlp.ling
The standard key for the features which is a Collection
CoreAnnotations.FemaleGazAnnotation edu.stanford.nlp.ling
CoreAnnotations.FineGrainedNamedEntityTagAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the fine grained named entity tag (i.e.
CoreAnnotations.FirstChildAnnotation edu.stanford.nlp.ling
used in binarized trees to specify the first child in the rule for which
this node is the parent
CoreAnnotations.ForcedSentenceEndAnnotation edu.stanford.nlp.ling
This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceUntilEndAnnotation edu.stanford.nlp.ling
This indicates that starting at this token, the sentence should not be ended until
we see a ForcedSentenceEndAnnotation.
CoreAnnotations.FreqAnnotation edu.stanford.nlp.ling
CoreAnnotations.GazAnnotation edu.stanford.nlp.ling
Possibly this should be grouped with gazetteer annotation - original key
was "gaz".
CoreAnnotations.GazetteerAnnotation edu.stanford.nlp.ling
The standard key for the gazetteer information
CoreAnnotations.GenderAnnotation edu.stanford.nlp.ling
The CoreMap key identifying an entity mention's potential gender.
CoreAnnotations.GenericTokensAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
CoreAnnotations.GeniaAnnotation edu.stanford.nlp.ling
CoreAnnotations.GoldAnswerAnnotation edu.stanford.nlp.ling
The standard key for gold answer which is a String
CoreAnnotations.GovernorAnnotation edu.stanford.nlp.ling
CoreAnnotations.GrandparentAnnotation edu.stanford.nlp.ling
specifies the base state of the parent of this node in the parse tree
CoreAnnotations.HaveAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.HeadWordStringAnnotation edu.stanford.nlp.ling
The key for storing a Head word as a string rather than a pointer (as in
TreeCoreAnnotations.HeadWordAnnotation)
CoreAnnotations.HeightAnnotation edu.stanford.nlp.ling
Used in srl.unsup
CoreAnnotations.IDAnnotation edu.stanford.nlp.ling
CoreAnnotations.IDFAnnotation edu.stanford.nlp.ling
Inverse document frequency of the word this label represents
CoreAnnotations.INAnnotation edu.stanford.nlp.ling
CoreAnnotations.IndexAnnotation edu.stanford.nlp.ling
This indexes a token number inside a sentence.
CoreAnnotations.InterpretationAnnotation edu.stanford.nlp.ling
The standard key for the semantic interpretation
CoreAnnotations.IsDateRangeAnnotation edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsNewlineAnnotation edu.stanford.nlp.ling
The CoreLabel key identifying whether a token is a newline or not
This is attached to
CoreLabels.
CoreAnnotations.IsURLAnnotation edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.KBPTriplesAnnotation edu.stanford.nlp.ling
An annotation for a sentence tagged with its KBP relation.
CoreAnnotations.LabelAnnotation edu.stanford.nlp.ling
Used in wsd.supwsd package
CoreAnnotations.LabelIDAnnotation edu.stanford.nlp.ling
CoreAnnotations.LabelWeightAnnotation edu.stanford.nlp.ling
CoreAnnotations.LastGazAnnotation edu.stanford.nlp.ling
CoreAnnotations.LastTaggedAnnotation edu.stanford.nlp.ling
CoreAnnotations.LBeginAnnotation edu.stanford.nlp.ling
Used in Gale2007ChineseSegmenter
CoreAnnotations.LeftChildrenNodeAnnotation edu.stanford.nlp.ling
used in incremental DAG parser
CoreAnnotations.LeftTermAnnotation edu.stanford.nlp.ling
The Standard key for storing the left terminal number relative to the root
of the tree of the leftmost terminal dominated by the current node
CoreAnnotations.LemmaAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the lemma (morphological stem) of a token.
CoreAnnotations.LEndAnnotation edu.stanford.nlp.ling
CoreAnnotations.LengthAnnotation edu.stanford.nlp.ling
CoreAnnotations.LineNumberAnnotation edu.stanford.nlp.ling
Line number for a sentence in a document delimited by newlines
instead of punctuation.
CoreAnnotations.LinkAnnotation edu.stanford.nlp.ling
CoreAnnotations.LMiddleAnnotation edu.stanford.nlp.ling
CoreAnnotations.LocationAnnotation edu.stanford.nlp.ling
Reference location for the document
CoreAnnotations.MaleGazAnnotation edu.stanford.nlp.ling
CoreAnnotations.MarkingAnnotation edu.stanford.nlp.ling
Another key used for propbank - to signify core arg nodes or predicate
nodes
CoreAnnotations.MentionsAnnotation edu.stanford.nlp.ling
CoreAnnotations.MentionTokenAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.MonthAnnotation edu.stanford.nlp.ling
Used in nlp.coref
CoreAnnotations.MorphoCaseAnnotation edu.stanford.nlp.ling
CoreAnnotations.MorphoGenAnnotation edu.stanford.nlp.ling
CoreAnnotations.MorphoNumAnnotation edu.stanford.nlp.ling
CoreAnnotations.MorphoPersAnnotation edu.stanford.nlp.ling
CoreAnnotations.NamedEntityTagAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.)
This key is typically set on token annotations.
CoreAnnotations.NeighborsAnnotation edu.stanford.nlp.ling
CoreAnnotations.NERIDAnnotation edu.stanford.nlp.ling
This is an NER ID annotation (in case the all caps parsing didn't work out
for you...)
CoreAnnotations.NormalizedNamedEntityTagAnnotation edu.stanford.nlp.ling
The key for the normalized value of numeric named entities.
CoreAnnotations.NotAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.NumericCompositeObjectAnnotation edu.stanford.nlp.ling
Annotation indicating the numeric object associated with an annotation.
CoreAnnotations.NumericCompositeTypeAnnotation edu.stanford.nlp.ling
Annotation indicating the numeric value of the phrase the token is part of
(twenty first => 21 21 ).
CoreAnnotations.NumericCompositeValueAnnotation edu.stanford.nlp.ling
Annotation indicating whether the numeric phrase the token is part of
represents a NUMBER or ORDINAL (twenty first => ORDINAL ORDINAL).
CoreAnnotations.NumericObjectAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumericTypeAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumericValueAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumerizedTokensAnnotation edu.stanford.nlp.ling
CoreAnnotations.NumTxtSentencesAnnotation edu.stanford.nlp.ling
Used by RTE to track number of text sentences, to determine when hyp
sentences begin.
CoreAnnotations.OriginalCharAnnotation edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalTextAnnotation edu.stanford.nlp.ling
The exact original surface form of a token.
CoreAnnotations.ParagraphAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.ParagraphIndexAnnotation edu.stanford.nlp.ling
used in ParagraphAnnotator.
CoreAnnotations.ParagraphsAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the paragraphs contained by an annotation.
CoreAnnotations.ParaPositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.ParentAnnotation edu.stanford.nlp.ling
The standard key for the parent which is a String
CoreAnnotations.PartOfSpeechAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the Penn part of speech of a token.
CoreAnnotations.PercentAnnotation edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.PhraseWordsAnnotation edu.stanford.nlp.ling
CoreAnnotations.PhraseWordsTagAnnotation edu.stanford.nlp.ling
CoreAnnotations.PolarityAnnotation edu.stanford.nlp.ling
CoreAnnotations.PositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.PossibleAnswersAnnotation edu.stanford.nlp.ling
CoreAnnotations.PredictedAnswerAnnotation edu.stanford.nlp.ling
CoreAnnotations.PresetAnswerAnnotation edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.PrevChildAnnotation edu.stanford.nlp.ling
used in binarized trees to say the name of the most recent child
CoreAnnotations.PriorAnnotation edu.stanford.nlp.ling
Used in propbank.srl
CoreAnnotations.ProtoAnnotation edu.stanford.nlp.ling
CoreAnnotations.QuotationIndexAnnotation edu.stanford.nlp.ling
Unique identifier within a document for a given quotation.
CoreAnnotations.QuotationsAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the quotations contained by an annotation.
CoreAnnotations.QuotedAnnotation edu.stanford.nlp.ling
Indicate whether a sentence is quoted
CoreAnnotations.QuotesAnnotation edu.stanford.nlp.ling
Store a list of CoreMaps representing quotes
CoreAnnotations.RoleAnnotation edu.stanford.nlp.ling
The standard key for the semantic role label of a phrase.
CoreAnnotations.SectionAnnotation edu.stanford.nlp.ling
Section of a document
CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation edu.stanford.nlp.ling
Store the beginning of the author mention for this section
CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation edu.stanford.nlp.ling
Store the end of the author mention for this section
CoreAnnotations.SectionDateAnnotation edu.stanford.nlp.ling
Date for a section of a document
CoreAnnotations.SectionEndAnnotation edu.stanford.nlp.ling
Indicates that the token end a section and the label of the section
CoreAnnotations.SectionIDAnnotation edu.stanford.nlp.ling
Id for a section of a document
CoreAnnotations.SectionIndexAnnotation edu.stanford.nlp.ling
Store an index into a list of sections
CoreAnnotations.SectionsAnnotation edu.stanford.nlp.ling
Store a list of sections in the document
CoreAnnotations.SectionStartAnnotation edu.stanford.nlp.ling
Indicates that the token starts a new section and the attributes
that should go into that section
CoreAnnotations.SectionTagAnnotation edu.stanford.nlp.ling
Store the xml tag for the section as a CoreLabel
CoreAnnotations.SemanticHeadTagAnnotation edu.stanford.nlp.ling
The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadWordAnnotation edu.stanford.nlp.ling
The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticTagAnnotation edu.stanford.nlp.ling
CoreAnnotations.SemanticWordAnnotation edu.stanford.nlp.ling
CoreAnnotations.SentenceBeginAnnotation edu.stanford.nlp.ling
The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceEndAnnotation edu.stanford.nlp.ling
The index of the sentence that this annotation begins in.
CoreAnnotations.SentenceIDAnnotation edu.stanford.nlp.ling
CoreAnnotations.SentenceIndexAnnotation edu.stanford.nlp.ling
Unique identifier within a document for a given sentence.
CoreAnnotations.SentencePositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.SentencesAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the sentences contained in an annotation.
CoreAnnotations.ShapeAnnotation edu.stanford.nlp.ling
The standard key for the "shape" of a word: a String representing the type
of characters in a word, such as "Xx" for a capitalized word.
CoreAnnotations.SpaceBeforeAnnotation edu.stanford.nlp.ling
Used in Chinese segmenters for whether there was space before a character.
CoreAnnotations.SpanAnnotation edu.stanford.nlp.ling
The standard key for span which is an IntPair
CoreAnnotations.SpeakerAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.SRL_ID edu.stanford.nlp.ling
CoreAnnotations.SRLIDAnnotation edu.stanford.nlp.ling
The key for semantic role labels (Note: please add to this description if
you use this key)
CoreAnnotations.SRLInstancesAnnotation edu.stanford.nlp.ling
CoreAnnotations.StackedNamedEntityTagAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE,
PERSON, etc.) from a previous NER tagger.
CoreAnnotations.StateAnnotation edu.stanford.nlp.ling
The base version of the parser state, like NP or VBZ or ...
CoreAnnotations.StatementTextAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the annotation's text, as formatted by the
edu.stanford.nlp.naturalli.QuestionToStatementTranslator.
CoreAnnotations.StemAnnotation edu.stanford.nlp.ling
Morphological stem of the word this label represents
CoreAnnotations.SubcategorizationAnnotation edu.stanford.nlp.ling
CoreAnnotations.TagLabelAnnotation edu.stanford.nlp.ling
Used in Trees
CoreAnnotations.TextAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the annotation's text.
CoreAnnotations.TokenBeginAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the first token included in an annotation.
CoreAnnotations.TokenEndAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the last token after the end of an annotation.
CoreAnnotations.TokensAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the tokens contained by an annotation.
CoreAnnotations.TopicAnnotation edu.stanford.nlp.ling
Used for Topic Assignments from LDA or its equivalent models.
CoreAnnotations.TrueCaseAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the token-level true case annotation (e.g.,
INIT_UPPER)
This key is typically set on token annotations.
CoreAnnotations.TrueCaseTextAnnotation edu.stanford.nlp.ling
The CoreMap key identifying the annotation's true-cased text.
CoreAnnotations.TrueTagAnnotation edu.stanford.nlp.ling
CoreAnnotations.UBlockAnnotation edu.stanford.nlp.ling
CoreAnnotations.UnaryAnnotation edu.stanford.nlp.ling
whether the node is the parent in a unary rule
CoreAnnotations.UnclosedQuotationsAnnotation edu.stanford.nlp.ling
The CoreMap key for getting the quotations contained by an annotation.
CoreAnnotations.UnknownAnnotation edu.stanford.nlp.ling
Note: this is not a catchall "unknown" annotation but seems to have a
specific meaning for sequence classifiers
CoreAnnotations.UseMarkedDiscourseAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UtteranceAnnotation edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UTypeAnnotation edu.stanford.nlp.ling
CoreAnnotations.ValueAnnotation edu.stanford.nlp.ling
Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.VerbSenseAnnotation edu.stanford.nlp.ling
Probank key for the Verb sense given in the Propbank Annotation, should
only be in the verbnode
CoreAnnotations.WebAnnotation edu.stanford.nlp.ling
CoreAnnotations.WikipediaEntityAnnotation edu.stanford.nlp.ling
An annotation for the Wikipedia page (i.e., canonical name) associated with
this token.
CoreAnnotations.WordFormAnnotation edu.stanford.nlp.ling
CoreAnnotations.WordnetSynAnnotation edu.stanford.nlp.ling
CoreAnnotations.WordPositionAnnotation edu.stanford.nlp.ling
CoreAnnotations.WordSenseAnnotation edu.stanford.nlp.ling
CoreAnnotations.XmlContextAnnotation edu.stanford.nlp.ling
Used in CleanXMLAnnotator.
CoreAnnotations.XmlElementAnnotation edu.stanford.nlp.ling
Used in SimpleXMLAnnotator.
CoreAnnotations.YearAnnotation edu.stanford.nlp.ling
CoreDocument edu.stanford.nlp.pipeline
Wrapper around an annotation representing a document.
CoreDocument(String) CoreDocument
CoreDocument(Annotation) CoreDocument
CoreEntityMention edu.stanford.nlp.pipeline
CoreEntityMention(CoreSentence, CoreMap) CoreEntityMention
coref(Document, StringBuilder[]) HybridCorefSystem
main entry of coreference system.
coref(Document) HybridCorefSystem
main entry of coreference system.
coref(Annotation) HybridCorefSystem
main entry of coreference system.
coref(Document) SieveCoreferenceSystem
Extracts coreference clusters.
coref(Properties) AnnotatorImplementations
Annotate for coreference (statistical or hybrid)
coref(Properties) ServerAnnotatorImplementations
Annotate for coreference (statistical or hybrid)
coref(Properties) Document
Returns the coref chains in the document.
coref() Document
coref() Sentence
Get the coreference chain for just this sentence.
COREF_PATH QuoteAttributionAnnotator
CorefAlgorithm edu.stanford.nlp.coref
A CorefAlgorithms makes coreference decisions on the provided
Document after
mention detection has been performed.
CorefAnnotation() CorefCoreAnnotations.CorefAnnotation
CorefAnnotation() CorefCoreAnnotations.CorefAnnotation
CorefAnnotator edu.stanford.nlp.pipeline
This class adds coref information to an Annotation.
CorefAnnotator(Properties) CorefAnnotator
CorefChain edu.stanford.nlp.coref.data
Output of (deterministic) coref system.
CorefChain(CorefCluster, Map<Mention, IntTuple>) CorefChain
CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) CorefChain
Constructor required by CustomAnnotationSerializer
CorefChain edu.stanford.nlp.dcoref
Output of (deterministic) coref system.
CorefChain(CorefCluster, Map<Mention, IntTuple>) CorefChain
CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) CorefChain
Constructor required by CustomAnnotationSerializer
CorefChain.CorefMention edu.stanford.nlp.coref.data
Mention for coref output.
CorefChain.CorefMention edu.stanford.nlp.dcoref
Mention for coref output.
CorefChain.CorefMentionComparator edu.stanford.nlp.coref.data
CorefChain.CorefMentionComparator edu.stanford.nlp.dcoref
CorefChain.MentionComparator edu.stanford.nlp.coref.data
CorefChain.MentionComparator edu.stanford.nlp.dcoref
COREFCHAIN_FIELD_NUMBER CoreNLPProtos.Document
CorefChainAnnotation() CorefCoreAnnotations.CorefChainAnnotation
CorefChainAnnotation() CorefCoreAnnotations.CorefChainAnnotation
corefChains() CoreDocument
coref info
corefChainToKBPMentions(CorefChain, Annotation, HashMap<Pair<Integer, Integer>, CoreMap>) KBPAnnotator
Helper method to find best kbp mention in a coref chain
This is defined as longest kbp mention or null if
the coref chain does not contain a kbp mention
CorefCluster edu.stanford.nlp.coref.data
One cluster for the SieveCoreferenceSystem.
CorefCluster(int) CorefCluster
CorefCluster(int, Set<Mention>) CorefCluster
CorefCluster edu.stanford.nlp.dcoref
One cluster for the SieveCoreferenceSystem.
CorefCluster(int) CorefCluster
CorefCluster(int, Set<Mention>) CorefCluster
CorefClusterAnnotation() CorefCoreAnnotations.CorefClusterAnnotation
CorefClusterAnnotation() CorefCoreAnnotations.CorefClusterAnnotation
Deprecated.
corefClusterID CorefChain.CorefMention
corefClusterID Mention
corefClusterID CorefChain.CorefMention
corefClusterID Mention
COREFCLUSTERID_FIELD_NUMBER CoreNLPProtos.Mention
COREFCLUSTERID_FIELD_NUMBER CoreNLPProtos.Token
CorefClusterIdAnnotation() CorefCoreAnnotations.CorefClusterIdAnnotation
CorefClusterIdAnnotation() CorefCoreAnnotations.CorefClusterIdAnnotation
corefClusters Document
Clusters for coreferent mentions
corefClusters Document
Clusters for coreferent mentions
CorefCoreAnnotations edu.stanford.nlp.coref
Similar to
CoreAnnotations,
but this class contains
annotations made specifically for storing Coref data.
CorefCoreAnnotations() CorefCoreAnnotations
CorefCoreAnnotations edu.stanford.nlp.dcoref
Similar to
CoreAnnotations,
but this class contains
annotations made specifically for storing Coref data.
CorefCoreAnnotations() CorefCoreAnnotations
CorefCoreAnnotations.CorefAnnotation edu.stanford.nlp.coref
the standard key for the coref label.
CorefCoreAnnotations.CorefAnnotation edu.stanford.nlp.dcoref
The standard key for the coref label.
CorefCoreAnnotations.CorefChainAnnotation edu.stanford.nlp.coref
CorefChainID - CorefChain map
CorefCoreAnnotations.CorefChainAnnotation edu.stanford.nlp.dcoref
CorefChainID - CorefChain map.
CorefCoreAnnotations.CorefClusterAnnotation edu.stanford.nlp.coref
Set of all the CoreLabel objects which are coreferent with a
CoreLabel.
CorefCoreAnnotations.CorefClusterAnnotation edu.stanford.nlp.dcoref
CorefCoreAnnotations.CorefClusterIdAnnotation edu.stanford.nlp.coref
An integer representing a document-level unique cluster of
coreferent entities.
CorefCoreAnnotations.CorefClusterIdAnnotation edu.stanford.nlp.dcoref
An integer representing a document-level unique cluster of
coreferent entities.
CorefCoreAnnotations.CorefDestAnnotation edu.stanford.nlp.coref
Destination of the coreference link for this word (if any): it
contains the index of the sentence and the index of the word that
are the end of this coref link Both indices start at 1 The
sentence index is IntTuple.get(0); the token index in the
sentence is IntTuple.get(1)
CorefCoreAnnotations.CorefDestAnnotation edu.stanford.nlp.dcoref
Destination of the coreference link for this word (if any).
CorefCoreAnnotations.CorefGraphAnnotation edu.stanford.nlp.coref
Deprecated.
CorefCoreAnnotations.CorefGraphAnnotation edu.stanford.nlp.dcoref
Deprecated.
CorefCoreAnnotations.CorefMentionIndexesAnnotation edu.stanford.nlp.coref
index into the document wide list of coref mentions
CorefCoreAnnotations.CorefMentionsAnnotation edu.stanford.nlp.coref
this annotation marks in every sentence the mentions used for coref
CorefDestAnnotation() CorefCoreAnnotations.CorefDestAnnotation
CorefDestAnnotation() CorefCoreAnnotations.CorefDestAnnotation
corefDict Dictionaries
corefDict Dictionaries
CorefDictionaryMatch edu.stanford.nlp.coref.hybrid.sieve
Sieve that uses the coreference dictionary for the technical domain
developed by Recasens, Can and Jurafsky (NAACL 2013).
CorefDictionaryMatch() CorefDictionaryMatch
CorefDictionaryMatch edu.stanford.nlp.dcoref.sievepasses
Sieve that uses the coreference dictionary for the technical domain
developed by Recasens, Can and Jurafsky (NAACL 2013).
CorefDictionaryMatch() CorefDictionaryMatch
corefDictPMI Dictionaries
corefDictPMI Dictionaries
CorefDocumentProcessor edu.stanford.nlp.coref
An interface for classes that iterate through coreference documents and process them one by one.
coreferenceContextSize AnnotationOutputter.Options
Should a small window of context be provided with each coreference mention
coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) DeterministicCorefSieve
Checks if two clusters are coreferent according to our sieve pass constraints
coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>, Semantics) DeterministicCorefSieve
Checks if two clusters are coreferent according to our sieve pass constraints.
CorefGraphAnnotation() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
CorefGraphAnnotation() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
COREFID_FIELD_NUMBER CoreNLPProtos.Entity
CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) CorefChain.CorefMention
CorefMention(Mention, IntTuple) CorefChain.CorefMention
CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) CorefChain.CorefMention
This constructor is used to recreate a CorefMention following serialization.
CorefMention(Mention, IntTuple) CorefChain.CorefMention
This constructor builds the external CorefMention class from the internal Mention.
corefMention(Properties) AnnotatorImplementations
Annotate for mention (statistical or hybrid)
corefMention(Properties) ServerAnnotatorImplementations
Annotate for mention (statistical or hybrid)
CorefMentionAnnotation() CoNLLDocumentReader.CorefMentionAnnotation
CorefMentionAnnotation() CoNLL2011DocumentReader.CorefMentionAnnotation
CorefMentionAnnotator edu.stanford.nlp.pipeline
This class adds mention information to an Annotation.
CorefMentionAnnotator(Properties) CorefMentionAnnotator
CorefMentionComparator() CorefChain.CorefMentionComparator
CorefMentionComparator() CorefChain.CorefMentionComparator
CorefMentionFinder edu.stanford.nlp.coref.md
Interface for finding coref mentions in a document.
CorefMentionFinder() CorefMentionFinder
CorefMentionFinder edu.stanford.nlp.dcoref
Interface for finding coref mentions in a document.
COREFMENTIONINDEX_FIELD_NUMBER CoreNLPProtos.Token
CorefMentionIndexesAnnotation() CorefCoreAnnotations.CorefMentionIndexesAnnotation
corefMentions CorefCluster
corefMentions CorefCluster
CorefMentionsAnnotation() CorefCoreAnnotations.CorefMentionsAnnotation
CorefMentionToEntityMentionMappingAnnotation() CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
COREFMENTIONTOENTITYMENTIONMAPPINGS_FIELD_NUMBER CoreNLPProtos.Document
CorefPrinter edu.stanford.nlp.coref
Class for printing out coreference output.
CorefPrinter() CorefPrinter
CorefProperties edu.stanford.nlp.coref
Manages the properties for running coref.
CorefProperties.CorefAlgorithmType edu.stanford.nlp.coref
CorefProperties.Dataset edu.stanford.nlp.coref
CorefProperties.MentionDetectionType edu.stanford.nlp.coref
corefReturnHybridOutput(Document) SieveCoreferenceSystem
CorefRules edu.stanford.nlp.coref
Rules for coref system (mention detection, entity coref, event coref)
The name of the method for mention detection starts with detection,
for entity coref starts with entity, and for event coref starts with event.
CorefRules() CorefRules
CorefScorer edu.stanford.nlp.coref
Utilities for running coref evaluation scripts and printing the results
CorefScorer() CorefScorer
CorefScorer edu.stanford.nlp.dcoref
Wrapper for a coreference resolution score: MUC, B cubed, Pairwise.
CorefSystem edu.stanford.nlp.coref
Class for running coreference algorithms
CorefSystem(Properties) CorefSystem
CorefSystem(DocumentMaker, CorefAlgorithm, boolean, boolean) CorefSystem
CorefUtils edu.stanford.nlp.coref
Useful utilities for coreference resolution.
CorefUtils() CorefUtils
CoreLabel edu.stanford.nlp.ling
A CoreLabel represents a single word with ancillary information
attached using CoreAnnotations.
CoreLabel() CoreLabel
Default constructor, calls super()
CoreLabel(int) CoreLabel
Initializes this CoreLabel, pre-allocating arrays to hold
up to capacity key,value pairs.
CoreLabel(CoreLabel) CoreLabel
Returns a new CoreLabel instance based on the contents of the given
CoreLabel.
CoreLabel(CoreMap) CoreLabel
Returns a new CoreLabel instance based on the contents of the given
CoreMap.
CoreLabel(Label) CoreLabel
Returns a new CoreLabel instance based on the contents of the given
label.
CoreLabel(String[], String[]) CoreLabel
This constructor attempts to parse the String keys
into Class keys.
CoreLabel(Class[], String[]) CoreLabel
This constructor attempts uses preparsed Class keys.
CoreLabel.GenericAnnotation T > - Interface in edu.stanford.nlp.ling
Class that all "generic" annotations extend.
CoreLabel.OutputFormat edu.stanford.nlp.ling
coreLabelFactory() SpanishTokenizer
a factory that vends CoreLabel tokens with default tokenization.
coreLabelFactory() PTBTokenizer
coreLabelFactory(String) PTBTokenizer
CoreLabelTokenFactory edu.stanford.nlp.process
Constructs
CoreLabels from Strings optionally with
beginning and ending (character after the end) offset positions in
an original text.
CoreLabelTokenFactory() CoreLabelTokenFactory
Constructor for a new token factory which will add in the word, the
"current" annotation, and the begin/end position annotations.
CoreLabelTokenFactory(boolean) CoreLabelTokenFactory
Constructor that allows one to choose if index annotation
indicating begin/end position will be included in the label.
coreMap() CoreEntityMention
get the underlying CoreMap if need be
coreMap() CoreQuote
get the underlying CoreMap if need be
coreMap() CoreSentence
get the underlying CoreMap if need be
CoreMap edu.stanford.nlp.util
Base type for all annotatable core objects.
COREMAP_LIST_TO_STRING_CONVERTER CoreMapSequenceMatcher
COREMAP_TO_CHAR_OFFSETS_INTERVAL_FUNC MatchedExpression
COREMAP_TO_TOKEN_OFFSETS_INTERVAL_FUNC MatchedExpression
CoreMapAggregator edu.stanford.nlp.pipeline
Function that aggregates several core maps into one
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>) CoreMapAggregator
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) CoreMapAggregator
CoreMapAttributeAggregator edu.stanford.nlp.pipeline
Functions for aggregating token attributes.
CoreMapAttributeAggregator() CoreMapAttributeAggregator
CoreMapAttributeAggregator.ConcatAggregator edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatCoreMapListAggregator T extends CoreMap > - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatListAggregator T > - Class in edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.ConcatTextAggregator edu.stanford.nlp.pipeline
CoreMapAttributeAggregator.MostFreqAggregator edu.stanford.nlp.pipeline
CoreMapExpressionExtractor T extends MatchedExpression > - Class in edu.stanford.nlp.ling.tokensregex
Represents a list of assignment and extraction rules over sequence patterns.
CoreMapExpressionExtractor() CoreMapExpressionExtractor
Creates an empty instance with no rules.
CoreMapExpressionExtractor(Env) CoreMapExpressionExtractor
Creates a default instance with the specified environment.
CoreMapExpressionExtractor(Env, List<SequenceMatchRules.Rule>) CoreMapExpressionExtractor
Creates an instance with the specified environment and list of rules
CoreMapExpressionExtractor.Stage T > - Class in edu.stanford.nlp.ling.tokensregex
Describes one stage of extraction.
CoreMapExpressionNodePattern edu.stanford.nlp.ling.tokensregex
Pattern for matching a CoreMap using a generic expression
CoreMapExpressionNodePattern() CoreMapExpressionNodePattern
CoreMapExpressionNodePattern(Env, Expression) CoreMapExpressionNodePattern
CoreMapExprNodePattern(Env) TokenSequenceParser
CoreMapExtractRule(Env, Class, SequenceMatchRules.ExtractRule<T, O>) SequenceMatchRules.CoreMapExtractRule
CoreMapFunctionApplier(Env, Class, Function<T, O>) SequenceMatchRules.CoreMapFunctionApplier
CoreMapNode(Env) TokenSequenceParser
CoreMapNodePattern edu.stanford.nlp.ling.tokensregex
Pattern for matching a CoreMap
CoreMapNodePattern(List<Pair<Class, NodePattern>>) CoreMapNodePattern
CoreMapNodePattern(Pair<Class, NodePattern>...) CoreMapNodePattern
CoreMapNodePattern(Class, NodePattern) CoreMapNodePattern
CoreMapNodePattern.AttributesEqualMatchChecker K > - Class in edu.stanford.nlp.ling.tokensregex
CoreMapNodePatternTrigger edu.stanford.nlp.ling.tokensregex
Trigger for CoreMap Node Patterns.
CoreMapNodePatternTrigger(SequencePattern<CoreMap>...) CoreMapNodePatternTrigger
CoreMapNodePatternTrigger(Collection<? extends SequencePattern<CoreMap>>) CoreMapNodePatternTrigger
CoreMapSequenceMatchAction T extends CoreMap > - Class in edu.stanford.nlp.ling.tokensregex
Performs a action on a matched sequence
CoreMapSequenceMatchAction() CoreMapSequenceMatchAction
CoreMapSequenceMatchAction.AnnotateAction T extends CoreMap > - Class in edu.stanford.nlp.ling.tokensregex
CoreMapSequenceMatchAction.MergeAction edu.stanford.nlp.ling.tokensregex
CoreMapSequenceMatcher T extends CoreMap > - Class in edu.stanford.nlp.ling.tokensregex
CoreMap Sequence Matcher for regular expressions for sequences over CoreMaps.
CoreMapSequenceMatcher(SequencePattern<T>, List<? extends T>) CoreMapSequenceMatcher
CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher edu.stanford.nlp.ling.tokensregex
CoreMapToListExtractRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, O>) SequenceMatchRules.CoreMapToListExtractRule
CoreMapToListFunctionApplier(Env, Function<List<? extends CoreMap>, O>) SequenceMatchRules.CoreMapToListFunctionApplier
CoreMapVarNodePattern(Env) TokenSequenceParser
CoreMapVarValue(Env) TokenSequenceParser
CoreMapWordPattern(Env) TokenSequenceParser
CoreNLPHandler(Properties, Predicate<Properties>, Consumer<StanfordCoreNLPServer.FinishedRequest>, StanfordCoreNLPServer.FileHandler) StanfordCoreNLPServer.CoreNLPHandler
Create a handler for accepting annotation requests.
CoreNLPProtos edu.stanford.nlp.pipeline
CoreNLPProtos.CorefChain edu.stanford.nlp.pipeline
A coreference chain.
CoreNLPProtos.CorefChain.Builder edu.stanford.nlp.pipeline
A coreference chain.
CoreNLPProtos.CorefChain.CorefMention edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
CoreNLPProtos.CorefChain.CorefMention.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.CorefChain.CorefMention
CoreNLPProtos.CorefChain.CorefMentionOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.CorefChainOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraph edu.stanford.nlp.pipeline
A dependency graph representation.
CoreNLPProtos.DependencyGraph.Builder edu.stanford.nlp.pipeline
A dependency graph representation.
CoreNLPProtos.DependencyGraph.Edge edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
CoreNLPProtos.DependencyGraph.Edge.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Edge
CoreNLPProtos.DependencyGraph.EdgeOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraph.Node edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
CoreNLPProtos.DependencyGraph.Node.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.DependencyGraph.Node
CoreNLPProtos.DependencyGraph.NodeOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.DependencyGraphOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Document edu.stanford.nlp.pipeline
A document; that is, the equivalent of an Annotation.
CoreNLPProtos.Document.Builder edu.stanford.nlp.pipeline
A document; that is, the equivalent of an Annotation.
CoreNLPProtos.DocumentOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Entity edu.stanford.nlp.pipeline
A representation of an entity in a relation.
CoreNLPProtos.Entity.Builder edu.stanford.nlp.pipeline
A representation of an entity in a relation.
CoreNLPProtos.EntityOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.IndexedWord edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.IndexedWord
CoreNLPProtos.IndexedWord.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.IndexedWord
CoreNLPProtos.IndexedWordOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Language edu.stanford.nlp.pipeline
An enumeration for the valid languages allowed in CoreNLP
CoreNLPProtos.MapIntString edu.stanford.nlp.pipeline
A map from integers to strings.
CoreNLPProtos.MapIntString.Builder edu.stanford.nlp.pipeline
A map from integers to strings.
CoreNLPProtos.MapIntStringOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.MapStringString edu.stanford.nlp.pipeline
A map from strings to strings.
CoreNLPProtos.MapStringString.Builder edu.stanford.nlp.pipeline
A map from strings to strings.
CoreNLPProtos.MapStringStringOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Mention edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Mention
CoreNLPProtos.Mention.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Mention
CoreNLPProtos.MentionOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.NaturalLogicRelation edu.stanford.nlp.pipeline
The seven informative Natural Logic relations
CoreNLPProtos.NERMention edu.stanford.nlp.pipeline
An NER mention in the text
CoreNLPProtos.NERMention.Builder edu.stanford.nlp.pipeline
An NER mention in the text
CoreNLPProtos.NERMentionOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Operator edu.stanford.nlp.pipeline
A Natural Logic operator
CoreNLPProtos.Operator.Builder edu.stanford.nlp.pipeline
A Natural Logic operator
CoreNLPProtos.OperatorOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.ParseTree edu.stanford.nlp.pipeline
A syntactic parse tree, with scores.
CoreNLPProtos.ParseTree.Builder edu.stanford.nlp.pipeline
A syntactic parse tree, with scores.
CoreNLPProtos.ParseTreeOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Polarity edu.stanford.nlp.pipeline
The polarity of a word, according to Natural Logic
CoreNLPProtos.Polarity.Builder edu.stanford.nlp.pipeline
The polarity of a word, according to Natural Logic
CoreNLPProtos.PolarityOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Quote edu.stanford.nlp.pipeline
A quotation marker in text
CoreNLPProtos.Quote.Builder edu.stanford.nlp.pipeline
A quotation marker in text
CoreNLPProtos.QuoteOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Relation edu.stanford.nlp.pipeline
A representation of a relation, mirroring RelationMention
CoreNLPProtos.Relation.Builder edu.stanford.nlp.pipeline
A representation of a relation, mirroring RelationMention
CoreNLPProtos.RelationOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.RelationTriple edu.stanford.nlp.pipeline
An OpenIE relation triple.
CoreNLPProtos.RelationTriple.Builder edu.stanford.nlp.pipeline
An OpenIE relation triple.
CoreNLPProtos.RelationTripleOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Section edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Section
CoreNLPProtos.Section.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.Section
CoreNLPProtos.SectionOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Sentence edu.stanford.nlp.pipeline
The serialized version of a CoreMap representing a sentence.
CoreNLPProtos.Sentence.Builder edu.stanford.nlp.pipeline
The serialized version of a CoreMap representing a sentence.
CoreNLPProtos.SentenceFragment edu.stanford.nlp.pipeline
An entailed sentence fragment.
CoreNLPProtos.SentenceFragment.Builder edu.stanford.nlp.pipeline
An entailed sentence fragment.
CoreNLPProtos.SentenceFragmentOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.SentenceOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Sentiment edu.stanford.nlp.pipeline
An enumeration of valid sentiment values for the sentiment classifier.
CoreNLPProtos.Span edu.stanford.nlp.pipeline
A Span of text
CoreNLPProtos.Span.Builder edu.stanford.nlp.pipeline
A Span of text
CoreNLPProtos.SpanOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.SpeakerInfo edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
CoreNLPProtos.SpeakerInfo.Builder edu.stanford.nlp.pipeline
Protobuf type edu.stanford.nlp.pipeline.SpeakerInfo
CoreNLPProtos.SpeakerInfoOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Timex edu.stanford.nlp.pipeline
A Timex object, representing a temporal expression (TIMe EXpression)
These fields are not *really* optional.
CoreNLPProtos.Timex.Builder edu.stanford.nlp.pipeline
A Timex object, representing a temporal expression (TIMe EXpression)
These fields are not *really* optional.
CoreNLPProtos.TimexOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.Token edu.stanford.nlp.pipeline
The serialized version of a Token (a CoreLabel).
CoreNLPProtos.Token.Builder edu.stanford.nlp.pipeline
The serialized version of a Token (a CoreLabel).
CoreNLPProtos.TokenLocation edu.stanford.nlp.pipeline
The index of a token in a document, including the sentence
index and the offset.
CoreNLPProtos.TokenLocation.Builder edu.stanford.nlp.pipeline
The index of a token in a document, including the sentence
index and the offset.
CoreNLPProtos.TokenLocationOrBuilder edu.stanford.nlp.pipeline
CoreNLPProtos.TokenOrBuilder edu.stanford.nlp.pipeline
CoreQuote edu.stanford.nlp.pipeline
Wrapper around a CoreMap representing a quote.
CoreQuote(CoreDocument, CoreMap) CoreQuote
CoreSentence edu.stanford.nlp.pipeline
CoreSentence(CoreDocument, CoreMap) CoreSentence
CoreTokenFactory IN extends CoreMap > - Interface in edu.stanford.nlp.process
To make tokens like CoreMap or CoreLabel.
CoreUtilities edu.stanford.nlp.ling
corporaDict NonDict2
CORPORATE_SUFFIXES KBPBasicSpanishCorefSystem
CorpusChar edu.stanford.nlp.wordseg
Check tag of each character from 5 different corpora.
CorpusChar(String) CorpusChar
CorpusDictionary edu.stanford.nlp.wordseg
Check if a bigram exists in bakeoff corpora.
CorpusDictionary(String) CorpusDictionary
Load a dictionary of words.
CorpusDictionary(String, boolean) CorpusDictionary
CorpusStats() CoNLLDocumentReader.CorpusStats
CorpusStats() CoNLL2011DocumentReader.CorpusStats
correct(double, int) PRCurve
correctDependencies(List<TypedDependency>) EnglishGrammaticalStructure
correctDependencies(List<TypedDependency>) GrammaticalStructure
Destructively modify the TypedDependencyGraph to correct
language-dependent dependencies.
correctDependencies(List<TypedDependency>) UniversalEnglishGrammaticalStructure
correctDependencies(SemanticGraph) UniversalEnglishGrammaticalStructure
correctGuesses MultiClassPrecisionRecallExtendedStats
correctTags EnglishTreebankParserParams.EnglishTrain
'Correct' tags to produce verbs in VPs, etc.
cosine(SimpleMatrix, SimpleMatrix) NeuralUtils
Compute cosine distance between two column vectors.
cosine(Counter<E>, Counter<E>) Counters
cost(K, K, int) ExactMatchCost
cost(K, K, int) MatchCostFunction.AbstractMatchCostFunction
cost(K, K, K, int) MatchCostFunction.AbstractMatchCostFunction
cost(K, K, int) MatchCostFunction
CostMagnificationAnnotation() CoreAnnotations.CostMagnificationAnnotation
costs MaxMarginMentionRanker
COUNT CoreMapAttributeAggregator
countCloseToZero(double[], double) ArrayMath
countCommas(int, int) AceDocument
countEntityResults(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) IOBUtils
For a sequence labeling task with multi-token entities, like NER,
this works out TP, FN, FP counts that can be used for entity-level
F1 results.
Counter E > - Interface in edu.stanford.nlp.stats
An Object to double map used for keeping weights or counts for objects.
counter Distribution
Counters edu.stanford.nlp.stats
Static methods for operating on a
Counter.
counterView() GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of
this as a
ClassicCounter.
countHistory(IntDependency) MLEDependencyGrammar
countInfinite(double[]) ArrayMath
countLengthAccuracy(Tree) AbstractEvaluate
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>) SplittingGrammarExtractor
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) SplittingGrammarExtractor
countMWEStatistics(Tree, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>) MWEPreprocessor
countNaN(double[]) ArrayMath
countNegative(double[]) ArrayMath
countNewLines(String, int, int) RobustTokenizer
countNonZero(double[]) ArrayMath
countOriginalStates() SplittingGrammarExtractor
Count all the internal labels in all the trees, and set their
initial state counts to 1.
countPositive(double[]) ArrayMath
countResults(List<IN>, Counter<String>, Counter<String>, Counter<String>) AbstractSequenceClassifier
Count results using a method appropriate for the tag scheme being used.
countResults(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>, boolean) GetPatternsFromDataMultiClass
countResultsPerToken(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>) GetPatternsFromDataMultiClass
Count the successes and failures of the model on the given document
***token-based***.
countResultsSegmenter(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>) AbstractSequenceClassifier
countries Dictionaries
countries Dictionaries
COUNTRIES_PROP HybridCorefProperties
COUNTRIES_PROP Constants
countRoot(Tree) AbstractEvaluate
countSpanErrors(TreebankLanguagePack, Tree, Tree) TreeSpanScoring
Counts how many spans are present in goldTree, including
preterminals, but not present in guessTree, along with how many
spans are present in guessTree and not goldTree.
countTree(Tree) TopNGramRecord
Adds the tree and all its subtrees to the appropriate
PriorityQueues for each predicted class.
countTree(Tree) AbstractEvaluate
countVerbs(int, int) AceDocument
CountWrapper edu.stanford.nlp.tagger.maxent
A simple data structure for some tag counts.
CountWrapper() CountWrapper
CountWrapper(String, int, int, int, int) CountWrapper
COVER_VALUE CoreNLPProtos.NaturalLogicRelation
COVER = 5;
CovertIDAnnotation() CoreAnnotations.CovertIDAnnotation
cp(File, File, boolean) IOUtils
An implementation of cp, as close to the Unix command as possible.
cp(File, File) IOUtils
cPOS Config
Use coarse POS instead of fine-grained POS if cPOS = true.
cPosDef SMDMinimizer
create(Env) SequenceMatchRules.AnnotationExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.AnnotationExtractRuleCreator
create(Env, SequencePattern.PatternExpr, Expression) SequenceMatchRules.CompositeExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.CompositeExtractRuleCreator
create(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) SequenceMatchRules.MultiTokenPatternExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.MultiTokenPatternExtractRuleCreator
create(Env, String, Expression) SequenceMatchRules.TextPatternExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.TextPatternExtractRuleCreator
create(Env, SequencePattern.PatternExpr, Expression) SequenceMatchRules.TokenPatternExtractRuleCreator
create(Env, Map<String, Object>) SequenceMatchRules.TokenPatternExtractRuleCreator
create() SequencePattern.SequenceEndPatternExpr
create() SequencePattern.SequenceStartPatternExpr
create(String) ConstantsAndVariables.ScorePhraseMeasures
create(InputStream) AbstractTextAnnotationCreator
create(InputStream, String) AbstractTextAnnotationCreator
create(Reader) AbstractTextAnnotationCreator
create(InputStream) AnnotationCreator
create(InputStream, String) AnnotationCreator
create(Reader) AnnotationCreator
create(Expressions.CompositeValue) SUTime.StandardTemporalType
create() TimeExpressionExtractorFactory
create(String, Properties) TimeExpressionExtractorFactory
create(String) TimeExpressionExtractorFactory
create(String, String, Properties) TimeExpressionExtractorFactory
create(int, float, boolean, String, boolean) CacheMap
Creates a new file-backed CacheMap or loads it in from the specified file
if it already exists.
create(int, float, String, boolean) CacheMap
create(int, String, boolean) CacheMap
create(String, boolean) CacheMap
create() Factory
Creates and returns a new instance of the given type.
create(String) MetaClass
Creates a new MetaClass (helper method)
create(Class<?>) MetaClass
Creates a new MetaClass (helper method)
CREATE_REGEX_FUNCTION ValueFunctions
createAnnotationExtractor(Env, SequenceMatchRules.AnnotationExtractRule) SequenceMatchRules
createArrays(int) ExhaustivePCFGParser
createAssignmentRule(Env, AssignableExpression, Expression) SequenceMatchRules
createCanonicalMentionMap(List<List<CoreMap>>) KBPBasicSpanishCorefSystem
createClassifier(double[]) ClassifierCreator
createClassifier(double[]) LinearClassifierFactory.LinearClassifierCreator
createCoreMap(CoreMap, String, int, int, CoreTokenFactory<T>) ChunkAnnotationUtils
createDataset(Annotation) BasicRelationExtractor
createDataset(List<CoreMap>) AnnotationUtils
Given a list of sentences (as CoreMaps), wrap it in a new Annotation.
createDatum(RelationMention) BasicRelationExtractor
createDatum(RelationMention, String) BasicRelationExtractor
createDatum(RelationMention) BasicRelationFeatureFactory
createDatum(RelationMention, Logger) BasicRelationFeatureFactory
createDatum(RelationMention, String) BasicRelationFeatureFactory
createDatum(RelationMention, String) RelationFeatureFactory
createDatum(RelationMention) RelationFeatureFactory
createDocument() XMLUtils
createElement(String) XMLUtils
createExtractionRule(Env, Map<String, Object>) SequenceMatchRules
createExtractionRule(Env, String, Object, Expression) SequenceMatchRules
createExtractor() GenericTimeExpressionPatterns
createExtractor() TimeExpressionExtractorFactory
createExtractor(String, Properties) TimeExpressionExtractorFactory
createExtractor() TimeExpressionPatterns
Creates a CoreMapExpressionExtractor that knows how
to extract time related expressions from text into CoreMaps
createExtractorFromFile(Env, String) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filename.
createExtractorFromFiles(Env, String...) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filenames.
createExtractorFromFiles(Env, List<String>) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filenames.
createExtractorFromString(Env, String) CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given string
createFactory(Class<?>...) MetaClass
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
createFactory(String...) MetaClass
Creates a factory for producing instances of this class from a
constructor taking the given types as arguments
createFactory(Object...) MetaClass
Creates a factory for producing instances of this class from a
constructor taking objects of the types given
createFromFile(String) AbstractTextAnnotationCreator
createFromFile(File) AbstractTextAnnotationCreator
createFromFile(String) AnnotationCreator
createFromFile(File) AnnotationCreator
createFromText(String) AnnotationCreator
createFromText(String) TextAnnotationCreator
createGraphFromPaths(List, int) TransducerGraph
If markovOrder is zero, we always transition back to the start state
If markovOrder is negative, we assume that it is infinite
createGraphFromPaths(ClassicCounter<List<T>>, int) TransducerGraph
createIndex() LogConditionalEqConstraintFunction
create an index for each parameter - the prior probs and the features with all of their values
createIndex() Experiments
createIndex(Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) InvertedIndexByTokens
createIndex(Class<? extends SentenceIndex>, Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) SentenceIndex
createIndexedWordProtoFromCL(CoreLabel) ProtobufAnnotationSerializer
createIndexedWordProtoFromIW(IndexedWord) ProtobufAnnotationSerializer
createIndexIfUsingDBAndNotExists() PatternsForEachToken
createIndexIfUsingDBAndNotExists() PatternsForEachTokenDB
createIndexIfUsingDBAndNotExists() PatternsForEachTokenInMemory
createInstance(Object...) MetaClass.ClassFactory
Creates an instance of the class produced in this factory
createInstance(Object...) MetaClass
Create an instance of the class, inferring the type automatically, and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
createInstance(Class<E>, Object...) MetaClass
Creates an instance of the class, forcing a cast to a certain type and
given an array of objects as constructor parameters NOTE: the resulting
instance will [unlike java] invoke the most narrow constructor rather
than the one which matches the signature passed to this function
createLinearClassifier(double[]) LinearClassifierFactory.LinearClassifierCreator
createMatchedExpression(Interval<Integer>, Interval<Integer>) MatchedExpression.SingleAnnotationExtractor
createMultiTokenPatternRule(Env, SequenceMatchRules.AnnotationExtractRule, List<TokenSequencePattern>) SequenceMatchRules
createNameMatcher() Sieve
createNERClassifierCombiner(String, Properties) NERClassifierCombiner
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
createNERClassifierCombiner(String, Set<String>, Properties) NERClassifierCombiner
This factory method is used to create the NERClassifierCombiner used in NERCombinerAnnotator
(and, thence, in StanfordCoreNLP).
createOrGet(String) CandidatePhrase
createOrGet(String, String) CandidatePhrase
createOrGet(String, String, Counter<String>) CandidatePhrase
createOutputter(Properties, AnnotationOutputter.Options) StanfordCoreNLP
createPats GetPatternsFromDataMultiClass
createPattern(String) MultiWordStringMatcher
CreatePatterns E > - Class in edu.stanford.nlp.patterns.surface
CreatePatterns(Properties, ConstantsAndVariables) CreatePatterns
CreatePatterns.CreatePatternsThread edu.stanford.nlp.patterns.surface
CreatePatternsThread(Map<String, DataInstance>, List<String>, Properties, ConstantsAndVariables.PatternForEachTokenWay) CreatePatterns.CreatePatternsThread
createProbabilisticClassifier(double[]) LinearClassifierFactory.LinearClassifierCreator
createProbabilisticClassifier(double[]) ProbabilisticClassifierCreator
createRandomGraph(int, int, double, int, List) TransducerGraph
For testing only.
createRandomPaths(int, int, double, int) TransducerGraph
createRecord(Properties, String) TaggedFileRecord
createRecords(Properties, String) TaggedFileRecord
createRule(Env, Expressions.CompositeValue) SequenceMatchRules
CreateSubtreeNode edu.stanford.nlp.trees.tregex.tsurgeon
Given the start and end children of a particular node, takes all
children between start and end (including the endpoints) and
combines them in a new node with the given label.
CreateSubtreeNode(TsurgeonPattern, AuxiliaryTree) CreateSubtreeNode
CreateSubtreeNode(TsurgeonPattern, TsurgeonPattern, AuxiliaryTree) CreateSubtreeNode
createTemporal(SUTime.StandardTemporalType, T) SUTime
createTemporal(SUTime.StandardTemporalType, String, T) SUTime
createTemporal(SUTime.StandardTemporalType, String, String, T) SUTime
createTemporal(int) SUTime.StandardTemporalType
createTemporal(int) SUTime.TimeUnit
createTestDatum(RelationMention, Logger) BasicRelationFeatureFactory
createTestDatum(RelationMention, Logger) RelationFeatureFactory
createTextNode(String) XMLUtils
createTextPatternRule(Env, String, Expression) SequenceMatchRules
createTokenPatternRule(Env, SequencePattern.PatternExpr, Expression) SequenceMatchRules
CreateTransitionSequence edu.stanford.nlp.parser.shiftreduce
createTransitionSequence(Tree) CreateTransitionSequence
createTransitionSequence(Tree, boolean, Set<String>, Set<String>) CreateTransitionSequence
createTransitionSequences(List<Tree>, boolean, Set<String>, Set<String>) CreateTransitionSequence
createUnrelatedRelation(RelationMentionFactory, ExtractionObject...) RelationMention
createUnrelatedRelations BasicRelationExtractor
If true, it creates automatically negative examples by generating all combinations between EntityMentions in a sentence
This is the common behavior, but for some domain (i.e., KBP) it must disabled.
createUnrelatedRelations MachineReadingProperties
createUnrelatedRelations RelationExtractorResultsPrinter
createUpsertFunction() PatternsForEachTokenDB
createUpsertFunctionPatternIndex() PatternsForEachTokenDB
createValue(String, T, String...) Expressions
CRFBiasedClassifier IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
CRFBiasedClassifier is used to adjust the precision-recall tradeoff
of any CRF model implemented using CRFClassifier.
CRFBiasedClassifier(Properties) CRFBiasedClassifier
CRFBiasedClassifier(SeqClassifierFlags) CRFBiasedClassifier
CRFClassifier IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Class for sequence classification using a Conditional Random Field model.
CRFClassifier() CRFClassifier
CRFClassifier(Properties) CRFClassifier
CRFClassifier(SeqClassifierFlags) CRFClassifier
CRFClassifier(CRFClassifier<IN>) CRFClassifier
Makes a copy of the crf classifier
CRFClassifierEvaluator IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Evaluates a CRFClassifier on a set of data.
CRFClassifierEvaluator(String, CRFClassifier<IN>, Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) CRFClassifierEvaluator
CRFClassifierEvaluator(String, CRFClassifier<IN>) CRFClassifierEvaluator
CRFClassifierFloat IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier that performs dropout feature-noisying training
CRFClassifierFloat() CRFClassifierFloat
CRFClassifierFloat(Properties) CRFClassifierFloat
CRFClassifierFloat(SeqClassifierFlags) CRFClassifierFloat
CRFClassifierNoisyLabel IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier for modeling noisy label
CRFClassifierNoisyLabel(SeqClassifierFlags) CRFClassifierNoisyLabel
CRFClassifierNonlinear IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of
CRFClassifier for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear ...].
CRFClassifierNonlinear() CRFClassifierNonlinear
CRFClassifierNonlinear(Properties) CRFClassifierNonlinear
CRFClassifierNonlinear(SeqClassifierFlags) CRFClassifierNonlinear
CRFClassifierWithDropout IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier that performs dropout feature-noising training.
CRFClassifierWithDropout(SeqClassifierFlags) CRFClassifierWithDropout
CRFClassifierWithLOP IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Subclass of
CRFClassifier for learning Logarithmic Opinion Pools.
CRFClassifierWithLOP() CRFClassifierWithLOP
CRFClassifierWithLOP(Properties) CRFClassifierWithLOP
CRFClassifierWithLOP(SeqClassifierFlags) CRFClassifierWithLOP
CRFCliqueTree E > - Class in edu.stanford.nlp.ie.crf
Builds a CliqueTree (an array of FactorTable) and does message passing
inference along it.
CRFCliqueTree(FactorTable[], Index<E>, E) CRFCliqueTree
Initialize a clique tree.
CRFDatum FEAT ,LAB > - Class in edu.stanford.nlp.ie.crf
The representation of Datums used internally in CRFClassifier.
CRFDatum(List<FEAT>, LAB, List<double[]>) CRFDatum
Constructs a new BasicDatum with the given features and label.
CRFFeatureExporter IN extends CoreMap > - Class in edu.stanford.nlp.ie.crf
Exports CRF features for use with other programs.
CRFFeatureExporter(CRFClassifier<IN>) CRFFeatureExporter
CRFLabel edu.stanford.nlp.ie.crf
CRFLabel(int[]) CRFLabel
CRFLogConditionalObjectiveFloatFunction edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunction edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionForLOP edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionNoisyLabel edu.stanford.nlp.ie.crf
CRFLogConditionalObjectiveFunctionWithDropout edu.stanford.nlp.ie.crf
CRFNonLinearLogConditionalObjectiveFunction edu.stanford.nlp.ie.crf
CRFNonLinearSecondOrderLogConditionalObjectiveFunction edu.stanford.nlp.ie.crf
CRForder SeqClassifierFlags
crfSegmenterProp SeqClassifierFlags
crfToExamine SeqClassifierFlags
crfType SeqClassifierFlags
CRFwindow SeqClassifierFlags
cross(Set<E>, Set<F>) Sets
Returns the set cross product of s1 and s2, as Pairs
CROSS_OUT Redwood.Util
crossEntropy(Counter<E>, Counter<E>) Counters
Note that this implementation doesn't normalize the "from" Counter.
crosses(Constituent) Constituent
Detects whether this constituent overlaps a constituent without
nesting, that is, whether they "cross".
crosses(Collection<Constituent>) Constituent
Detects whether this constituent overlaps any of a Collection of
Constituents without
nesting, that is, whether it "crosses" any of them.
crossValidate(GeneralDataset<String, String>, List<String[]>) ColumnDataClassifier
Run cross-validation on a dataset, and return accuracy and macro-F1 scores.
crossValidate MachineReadingProperties
crossValidateSetC(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) SVMLightClassifierFactory
This method will cross validate on the given data and number of folds
to find the optimal C.
crossValidateSetSigma(GeneralDataset<L, F>) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, LineSearcher) LinearClassifierFactory
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the cross-validation score given by scorer.
CrossValidator L ,F > - Class in edu.stanford.nlp.classify
This class is meant to simplify performing cross validation of
classifiers for hyper-parameters.
CrossValidator(GeneralDataset<L, F>) CrossValidator
CrossValidator(GeneralDataset<L, F>, int) CrossValidator
CrossValidator.SavedState edu.stanford.nlp.classify
ctb_pre_dict CtbDict
ctb_suf_dict CtbDict
CtbDict edu.stanford.nlp.tagger.maxent
CTBErrorCorrectingTreeNormalizer edu.stanford.nlp.trees.international.pennchinese
This was originally written to correct a few errors Galen found in CTB3.
CTBErrorCorrectingTreeNormalizer() CTBErrorCorrectingTreeNormalizer
Constructor with all of the options of the other constructor false
CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) CTBErrorCorrectingTreeNormalizer
Build a CTBErrorCorrectingTreeNormalizer.
CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory edu.stanford.nlp.trees.international.pennchinese
So you can create a TreeReaderFactory using this TreeNormalizer easily by reflection.
CTBErrorCorrectingTreeReaderFactory() CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory
CTBTreeReaderFactory edu.stanford.nlp.trees.international.pennchinese
The CTBTreeReaderFactory is a factory for creating a
TreeReader suitable for the Penn Chinese Treebank (CTB).
CTBTreeReaderFactory() CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer) CTBTreeReaderFactory
CTBTreeReaderFactory(TreeNormalizer, boolean) CTBTreeReaderFactory
CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory edu.stanford.nlp.trees.international.pennchinese
CTBunkDict edu.stanford.nlp.tagger.maxent
CUR_WORD_MIN_FEATURE_THRESH TaggerConfig
curElement AbstractStochasticCachingDiffFunction
curF1 AbstractEval
CURRENCY_SYMBOL_PATTERN NumberSequenceClassifier
CURRENCY_WORD_PATTERN ChineseNumberSequenceClassifier
CURRENCY_WORD_PATTERN NumberSequenceClassifier
CURRENCY_WORDS_VALUES ChineseNumberSequenceClassifier
current() RedwoodConfiguration
The current Redwood configuration; this is used to make incremental changes
to an existing custom configuration.
CURRENT_SIEVE_FOR_TRAIN_PROP HybridCorefProperties
currentDocId Clusterer
currentDocumentID MentionExtractor
currentPatternWeights GetPatternsFromDataMultiClass
currentToken ParseException
This is the last token that has been consumed successfully.
currentToken ParseException
This is the last token that has been consumed successfully.
currentToken ParseException
This is the last token that has been consumed successfully.
currentToken ParseException
This is the last token that has been consumed successfully.
custom(Properties, String) AnnotatorImplementations
CUSTOM_ANNOTATOR_PREFIX StanfordCoreNLP
CustomAnnotationSerializer edu.stanford.nlp.pipeline
Serializes Annotation objects using our own format.
CustomAnnotationSerializer() CustomAnnotationSerializer
CustomAnnotationSerializer(boolean, boolean) CustomAnnotationSerializer
CustomDateFormatExtractor(String, String) TimeFormatter.CustomDateFormatExtractor
customTreeVisitor AbstractDataset
cutDocument() NERGUI
cutoffRelations ExtractPhraseFromPattern
CUTOFFS ParentAnnotationStats
Minimum support * KL to be included in output and as feature
CUTOFFS SisterAnnotationStats
Minimum support * KL to be included in output and as feature
cutoffTags ExtractPhraseFromPattern
cvAveragedModels ShiftReduceTrainOptions
Cross-validate over the number of models to average, using the
dev set, to figure out which number between 1 and averagedModels
we actually want to use
cwa() PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
cwaArray() PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
CYAN Redwood.Util
gain SGDToQNMinimizer
gain StochasticMinimizer
GainCompute(Feature, double) LambdaSolve
Computes the gain from a feature.
gainSchedule(int, double) StochasticMinimizer
gainSGD SeqClassifierFlags
Gale2007ChineseSegmenterFeatureFactory IN extends CoreLabel > - Class in edu.stanford.nlp.wordseg
A Chinese segmenter Feature Factory for the GALE project.
Gale2007ChineseSegmenterFeatureFactory() Gale2007ChineseSegmenterFeatureFactory
gamma(double) SloppyMath
Approximation to gamma function.
gapDecode(byte[]) ArrayUtils
gapDecode(byte[], int, int) ArrayUtils
gapDecodeList(byte[]) ArrayUtils
gapDecodeList(byte[], int, int) ArrayUtils
gapEncode(int[]) ArrayUtils
gapEncodeList(int[]) ArrayUtils
gatherQuotes(CoreMap) QuoteAnnotator
GazAnnotation() CoreAnnotations.GazAnnotation
GazetteerAnnotation() CoreAnnotations.GazetteerAnnotation
gazetteerLocation BasicEntityExtractor
gazettes SeqClassifierFlags
gazFilesFile SeqClassifierFlags
geDebug SeqClassifierFlags
gen SGDMinimizer
gen SGDWithAdaGradAndFOBOS
gen StochasticMinimizer
gender CorefChain.CorefMention
gender Mention
gender CorefChain.CorefMention
gender Mention
gender(Properties, String) AnnotatorImplementations
Annotate for gender of tokens
gender(Properties, String) ServerAnnotatorImplementations
Annotate for gender of tokens
gender Person
GENDER_FIELD_NUMBER CoreNLPProtos.CorefChain.CorefMention
GENDER_FIELD_NUMBER CoreNLPProtos.Mention
GENDER_FIELD_NUMBER CoreNLPProtos.NERMention
GENDER_FIELD_NUMBER CoreNLPProtos.Token
GENDER_NUMBER_PROP HybridCorefProperties
GENDER_NUMBER_PROP Constants
GENDER_WORD_LIST QuoteAttributionAnnotator
GenderAnnotation() MachineReadingAnnotations.GenderAnnotation
GenderAnnotation() CoreAnnotations.GenderAnnotation
GenderAnnotator edu.stanford.nlp.pipeline
This class adds gender information (MALE / FEMALE) to entity mentions as GenderAnnotations.
GenderAnnotator(String, Properties) GenderAnnotator
genderNumber Dictionaries
genderNumber Dictionaries
genders CorefCluster
genders CorefCluster
gendersAgree(Mention) Mention
gendersAgree(Mention, boolean) Mention
gendersAgree(Mention) Mention
gendersAgree(Mention, boolean) Mention
GeneralDataset L ,F > - Class in edu.stanford.nlp.classify
GeneralDataset() GeneralDataset
GeneralizedCounter K > - Class in edu.stanford.nlp.stats
A class for keeping double counts of
Lists of a
prespecified length.
GeneralizedCounter(int) GeneralizedCounter
Constructs a new GeneralizedCounter of a specified depth
generalizedDependencyPath(List<SemanticGraphEdge>, IndexedWord) BasicRelationFeatureFactory
GeneralizedExpectationObjectiveFunction L ,F > - Class in edu.stanford.nlp.classify
Implementation of Generalized Expectation Objective function for
an I.I.D.
GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>) GeneralizedExpectationObjectiveFunction
generalizeRelation(GrammaticalRelation) BasicRelationFeatureFactory
generateCCProcessedDependencies(Tree) SemanticGraphFactory
generateCCProcessedDependencies(GrammaticalStructure) SemanticGraphFactory
generateCCProcessedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) SemanticGraphFactory
generateCollapsedDependencies(Tree) SemanticGraphFactory
generateCollapsedDependencies(GrammaticalStructure) SemanticGraphFactory
generateCollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) SemanticGraphFactory
generateDict(List<String>, int) Util
Build a dictionary of words collected from a corpus.
generateDict(List<String>) Util
generateEnhancedDependencies(Tree) SemanticGraphFactory
Produces an enhanced dependencies SemanticGraph.
generateEnhancedDependencies(GrammaticalStructure) SemanticGraphFactory
Produces an enhanced dependencies SemanticGraph.
generateEnhancedPlusPlusDependencies(Tree) SemanticGraphFactory
Produces an enhanced++ dependencies SemanticGraph.
generateEnhancedPlusPlusDependencies(GrammaticalStructure) SemanticGraphFactory
Produces an enhanced++ dependencies SemanticGraph.
generateOriginalDependencies AbstractTreebankParserParams
generateOriginalDependencies() AbstractTreebankParserParams
generateOriginalDependencies() ChineseTreebankParserParams
generateOriginalDependencies() TreebankLangParserParams
Whether to generate original Stanford Dependencies or the newer
Universal Dependencies.
generateOriginalDependencies AbstractTreebankLanguagePack
For languages where a Universal Dependency converter
exists this variable determines whether the original
or the Universal converter will be used.
generateOriginalDependencies() AbstractTreebankLanguagePack
generateOriginalDependencies() ChineseTreebankLanguagePack
generateOriginalDependencies() TreebankLanguagePack
Used for languages where an original Stanford Dependency
converter and a Universal Dependency converter exists.
generateParseException() TokenSequenceParser
Generate ParseException.
generateUncollapsedDependencies(Tree) SemanticGraphFactory
Produces an Uncollapsed (basic) SemanticGraph.
generateUncollapsedDependencies(GrammaticalStructure) SemanticGraphFactory
Produces an Uncollapsed (basic) SemanticGraph.
generateUncollapsedDependencies(GrammaticalStructure, GrammaticalStructure.Extras) SemanticGraphFactory
generic Mention
generic Mention
GENERIC_FIELD_NUMBER CoreNLPProtos.Mention
GENERIC_TIME_WORDS NumberSequenceClassifier
GenericAnnotationSerializer edu.stanford.nlp.pipeline
Serializes Annotation objects using the default Java serializer
GenericAnnotationSerializer(boolean) GenericAnnotationSerializer
GenericAnnotationSerializer() GenericAnnotationSerializer
GenericAnnotationSerializer.AppendingObjectOutputStream edu.stanford.nlp.pipeline
Turns out, an ObjectOutputStream cannot append to a file.
GenericDataSetReader edu.stanford.nlp.ie.machinereading
GenericDataSetReader() GenericDataSetReader
GenericDataSetReader(StanfordCoreNLP, boolean, boolean, boolean) GenericDataSetReader
genericKeys CoreLabel
Generics edu.stanford.nlp.util
A collection of utilities to make dealing with Java generics less
painful and verbose.
GenericTimeExpressionPatterns edu.stanford.nlp.time
Provides generic mechanism to convert natural language into temporal representation
by reading patterns/rules specifying mapping between text and temporal objects
from file.
GenericTimeExpressionPatterns(Options) GenericTimeExpressionPatterns
GenericTokensAnnotation() CoreAnnotations.GenericTokensAnnotation
genericValues CoreLabel
GeniaAnnotation() CoreAnnotations.GeniaAnnotation
genre SurfacePattern
genStop Options
genTrainExamples(List<CoreMap>, List<DependencyTree>) DependencyParser
genVals FrenchMorphoFeatureSpecification
GERMAN_PROPERTIES LanguageInfo
German_VALUE CoreNLPProtos.Language
German = 5;
GermanUnknownWordModel edu.stanford.nlp.parser.lexparser
An unknown word model for German; relies on BaseUnknownWordModel plus number matching.
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) GermanUnknownWordModel
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) GermanUnknownWordModel
This constructor creates an UWM with empty data structures.
GermanUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
GermanUnknownWordModelTrainer() GermanUnknownWordModelTrainer
get(String) StringDictionary
get(String, boolean) StringDictionary
Fetches the index of this string If mCreate is true, the entry is created
if it does not exist.
get(int) StringDictionary
Reverse mapping from integer key to string value
get(double, String) QuantifiableEntityExtractor
get(Class<? extends TypesafeMap.Key<VALUE>>) IndexedWord
get(String) Env
get(Object) BoundedCostOrderedMap
get(Object) TrieMap
get(Iterable<K>) TrieMap
get(K[]) TrieMap
get(Object) PhraseTable
get(int) SequenceMatcher
Returns the ith element
get(String) Expressions.CompositeValue
get() Expressions.SimpleExpression
get() Expressions.SimpleValue
get() Value
The Java object representing the value of the expression.
get(int) Experiments
get(int) Features
get(String) Embedding
get(String) AnnotatorPool
Retrieve an Annotator from the pool.
get(String) Env
get(String) Dictionary
get(int) MemoryTreebank
Get a tree by index from the Treebank.
get(Class<? extends TypesafeMap.Key<VALUE>>) ArrayCoreMap
Returns the value associated with the given key or null if
none is provided.
get(Object) ArrayMap
get(Object) CacheMap
get(Object) CollectionValuedMap
get(int) ConcurrentHashIndex
get(U, U) ConfusionMatrix
Retrieves the number of entries with this guess and gold.
get(int) DeltaIndex
get(Object) DeltaMap
This may cost twice what it would in the original Map.
get(int) HashIndex
Gets the object whose index is the integer argument.
get(int) Index
Gets the object whose index is the integer argument.
get(int) IntTuple
get() Lazy
Get the value of this
Lazy, computing it if necessary.
get(U, int) MapList
get(int) PaddedList
get(Properties, String, E, Type) PropertiesUtils
Get the value of a property and automatically cast it to a specific type.
get(K1, K2, K3) ThreeDimensionalMap
get(K1, K2) ThreeDimensionalMap
get(K1) ThreeDimensionalMap
get(K1, K2) TwoDimensionalCollectionValuedMap
get(K1, K2) TwoDimensionalMap
get(K1) TwoDimensionalMap
get(Class<? extends TypesafeMap.Key<VALUE>>) TypesafeMap
Returns the value associated with the given key or null if
none is provided.
get1GramRank(String) GoogleNGramsSQLBacked
Return rank of 1 gram in google ngeams if it is less than 20k.
GET_ANNOTATION_TAG_FUNCTION ValueFunctions
GET_VALUE_TAG_FUNCTION ValueFunctions
getAccCoverage() MultiClassAccuracyStats
getAccuracy() MultiClassPrecisionRecallExtendedStats
getAccuracyDescription(int) MultiClassPrecisionRecallExtendedStats
Returns a String summarizing overall accuracy that will print nicely.
getAccuracyInfo() MultiClassPrecisionRecallExtendedStats
Return overall per token accuracy
getAcl(String) UniversalEnglishGrammaticalRelations
The "acl" grammatical relation.
getAcls() UniversalEnglishGrammaticalRelations
getAction() SequencePattern
getActiveTreebanks() FilePanel
Returns all treebanks corresponding to the files stored in the panel that
are selected
getAdaptationPrior(double[], LogPrior) LogPrior
getAdvcl(String) UniversalEnglishGrammaticalRelations
The "advcl" grammatical relation.
getAdvcls() UniversalEnglishGrammaticalRelations
getAfter() CoreNLPProtos.Token.Builder
The whitespace/xml after the token
getAfter() CoreNLPProtos.Token
The whitespace/xml after the token
getAfter() CoreNLPProtos.TokenOrBuilder
The whitespace/xml after the token
getAfterBytes() CoreNLPProtos.Token.Builder
The whitespace/xml after the token
getAfterBytes() CoreNLPProtos.Token
The whitespace/xml after the token
getAfterBytes() CoreNLPProtos.TokenOrBuilder
The whitespace/xml after the token
getAggregator(Map<Class, CoreMapAttributeAggregator>) CoreMapAggregator
getAggregator(Map<Class, CoreMapAttributeAggregator>, Class) CoreMapAggregator
getAggregator(Map<Class, CoreMapAttributeAggregator>, Class, CoreLabelTokenFactory) CoreMapAggregator
getAggregator(String) CoreMapAttributeAggregator
getAlignments() ApproxMatch
getAll(Map<T, V>, Collection<T>) CollectionUtils
Get all values corresponding to the indices (if they exist in the map).
getAll(Map<T, V>, Collection<T>) Maps
get all values corresponding to the indices (if they exist in the map)
getAllEdges() DirectedMultiGraph
getAllEdges() Graph
getAllEdges(IndexedWord, IndexedWord) SemanticGraph
getAllEntityMentions() AceDocument
getAllEventMentions() AceDocument
getAllHighestScoringTreesTest(List<Tree>) DVParserCostAndGradient
getAllHolidays(Holidays, Set<de.jollyday.config.Holiday>) JollyDayHolidays
getAllHolidays(Configuration, Set<de.jollyday.config.Holiday>) JollyDayHolidays
getAllHolidays(Configuration) JollyDayHolidays
getAllHolidaysCVMap(Set<de.jollyday.config.Holiday>) JollyDayHolidays
getAllHolidaysCVMap(Configuration) JollyDayHolidays
getAllHolidaysMap(Set<de.jollyday.config.Holiday>) JollyDayHolidays
getAllHolidaysMap(Configuration) JollyDayHolidays
getAllNodesByPartOfSpeechPattern(String) SemanticGraph
getAllNodesByWordPattern(String) SemanticGraph
Returns all nodes of type
IndexedWord in this
SemanticGraph having the given word or
regex, or returns empty list if no such found.
getAllOptions() ConstantsAndVariables
getAllOptions() GetPatternsFromDataMultiClass
getAllPatterns(Map<String, DataInstance>, Properties, ConstantsAndVariables.PatternForEachTokenWay) CreatePatterns
creates all patterns and saves them in the correct PatternsForEachToken* class appropriately
getAllRelationMentions() AceDocument
getAllRelations(RelationMentionFactory, CoreMap, boolean) AnnotationUtils
Get list of all relations and non-relations between EntityMentions in this sentence
Use with care.
getAllTranslations(String) ChineseEnglishWordMap
getAllUnrelatedRelations(RelationMentionFactory, CoreMap, boolean) AnnotationUtils
getAllVertices() DirectedMultiGraph
getAllVertices() Graph
getAlternateForms() PhraseTable.Phrase
getAlternativeDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAlternativeDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
getAltTag() MorphoFeatures
An alternate tag form than the one produced by getTag().
getAltValue() CoreNLPProtos.Timex.Builder
optional string altValue = 2;
getAltValue() CoreNLPProtos.Timex
optional string altValue = 2;
getAltValue() CoreNLPProtos.TimexOrBuilder
optional string altValue = 2;
getAltValueBytes() CoreNLPProtos.Timex.Builder
optional string altValue = 2;
getAltValueBytes() CoreNLPProtos.Timex
optional string altValue = 2;
getAltValueBytes() CoreNLPProtos.TimexOrBuilder
optional string altValue = 2;
getAmbClass(String) Dictionary
getAmount() SimpleQuantifiableEntity
getAnaphorEmbedding(SimpleMatrix) NeuralCorefModel
getAnaphoricityExamples(List<DocumentExamples>) PairwiseModelTrainer
getAnaphoricityFeatures(Mention, Document, Map<Integer, List<Mention>>) CategoricalFeatureExtractor
getAnaphoricityScore(SimpleMatrix, SimpleMatrix) NeuralCorefModel
getAnchor() AceEventMention
getAnchor() EventMention
getAnimacy() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
getAnimacy() CoreNLPProtos.CorefChain.CorefMention
optional string animacy = 5;
getAnimacy() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string animacy = 5;
getAnimacy() CoreNLPProtos.Mention.Builder
optional string animacy = 5;
getAnimacy() CoreNLPProtos.Mention
optional string animacy = 5;
getAnimacy() CoreNLPProtos.MentionOrBuilder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.CorefChain.CorefMention
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.Mention.Builder
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.Mention
optional string animacy = 5;
getAnimacyBytes() CoreNLPProtos.MentionOrBuilder
optional string animacy = 5;
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) LexicalizedParser
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) TreeAnnotatorAndBinarizer
getAnnotatedChunk(List<CoreLabel>, int, int, int) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information.
getAnnotatedChunk(List<CoreLabel>, int, int, int, Class, Class, Class) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information.
getAnnotatedChunk(CoreMap, int, int) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunk(CoreMap, int, int, Class, Class) ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information
CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk
CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk
TokensAnnotation - List of tokens in this chunk
TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens)
tokenStartIndex + annotation's TokenBeginAnnotation
TokenEndAnnotation - Index of last token in chunk (index in original list of tokens)
tokenEndIndex + annotation's TokenBeginAnnotation
TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunks(List<CoreLabel>, int, Class, Class) LabeledChunkIdentifier
Find and annotate chunks.
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) LabeledChunkIdentifier
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class) LabeledChunkIdentifier
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class, Predicate<Pair<CoreLabel, CoreLabel>>) LabeledChunkIdentifier
Find and annotate chunks.
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>) ChunkAnnotationUtils
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>, boolean, Class, Class, boolean) ChunkAnnotationUtils
Create a list of new chunk Annotation with basic chunk information.
getAnnotatedChunkUsingCharOffsets(CoreMap, int, int) ChunkAnnotationUtils
Returns a chunk annotation based on char offsets.
getAnnotatedFile(String, String, Properties) XMLToAnnotation
getAnnotatedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotatedParseTreeOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
getAnnotation() CoNLLDocumentReader.CoNLLDocument
getAnnotation() CoNLL2011DocumentReader.Document
getAnnotation() MatchedExpression
getAnnotationPatterns() ComplexNodePattern
getAnnotations(StanfordCoreNLP, SentimentPipeline.Input, String, boolean) SentimentPipeline
Reads an annotation from the given filename using the requested input.
getAnnotationString(Tree, Tree) TregexPoweredTreebankParserParams
Build a string of annotations for the given tree.
getAnnotatorImplementations() StanfordCoreNLP
Get the implementation of each relevant annotator in the pipeline.
getAnswer() CoreNLPProtos.Token.Builder
A temporary annotation which is occasionally left in
getAnswer() CoreNLPProtos.Token
A temporary annotation which is occasionally left in
getAnswer() CoreNLPProtos.TokenOrBuilder
A temporary annotation which is occasionally left in
getAnswerBytes() CoreNLPProtos.Token.Builder
A temporary annotation which is occasionally left in
getAnswerBytes() CoreNLPProtos.Token
A temporary annotation which is occasionally left in
getAnswerBytes() CoreNLPProtos.TokenOrBuilder
A temporary annotation which is occasionally left in
getAnswerClass() ConstantsAndVariables
getAnswers(List<IN>, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) PlainTextDocumentReaderAndWriter
getAntecedentEmbedding(SimpleMatrix) NeuralCorefModel
getAntecedentType(Properties, String) HybridCorefProperties
getAntecedentTypeStr(Properties, String) HybridCorefProperties
getAppositions(int) CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
getAppositions(int) CoreNLPProtos.Mention
repeated int32 appositions = 54;
getAppositions(int) CoreNLPProtos.MentionOrBuilder
repeated int32 appositions = 54;
getAppositionsCount() CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
getAppositionsCount() CoreNLPProtos.Mention
repeated int32 appositions = 54;
getAppositionsCount() CoreNLPProtos.MentionOrBuilder
repeated int32 appositions = 54;
getAppositionsList() CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
getAppositionsList() CoreNLPProtos.Mention
repeated int32 appositions = 54;
getAppositionsList() CoreNLPProtos.MentionOrBuilder
repeated int32 appositions = 54;
getArc(Object, Object) TransducerGraph
Slow implementation.
getArcBySourceAndInput(Object, Object) TransducerGraph
Can only be one because automaton is deterministic.
getArch() TaggerConfig
getArcs() TransducerGraph
getArcsByInput(Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsBySource(Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsByTarget(Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsByTargetAndInput(Object, Object) TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArg(String) AceEventMention
getArg(int) AceRelationMention
getArg(int) RelationMention
getArg(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArg(int) CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArg(int) CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgBuilder(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgBuilderList() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgCount() CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgList() CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgName(int) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgName(int) CoreNLPProtos.Relation
repeated string argName = 6;
getArgName(int) CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNameBytes(int) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgNameBytes(int) CoreNLPProtos.Relation
repeated string argName = 6;
getArgNameBytes(int) CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNameCount() CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgNameCount() CoreNLPProtos.Relation
repeated string argName = 6;
getArgNameCount() CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNameList() CoreNLPProtos.Relation.Builder
repeated string argName = 6;
getArgNameList() CoreNLPProtos.Relation
repeated string argName = 6;
getArgNameList() CoreNLPProtos.RelationOrBuilder
repeated string argName = 6;
getArgNames() RelationMention
getArgOrBuilder(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilder(int) CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilder(int) CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() CoreNLPProtos.Relation
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgOrBuilderList() CoreNLPProtos.RelationOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
getArgs() AceEventMention
getArgs() AceRelationMention
getArgs() RelationMention
getArrayComparator() Comparators
getAssumedTruth() CoreNLPProtos.SentenceFragment.Builder
optional bool assumedTruth = 3;
getAssumedTruth() CoreNLPProtos.SentenceFragment
optional bool assumedTruth = 3;
getAssumedTruth() CoreNLPProtos.SentenceFragmentOrBuilder
optional bool assumedTruth = 3;
getAttr(String) LatticeEdge
getAttribute(Element, String) XMLUtils
getAttribute(Node, String) XMLUtils
getAttributes() Expressions.CompositeValue
getAttributeValue(Node, String) DomReader
Fetches the value of a given attribute
getAttributeValue(Node, String) XMLUtils
getAttributionDependencyGraph() CoreNLPProtos.Quote.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraph() CoreNLPProtos.Quote
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraph() CoreNLPProtos.QuoteOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphBuilder() CoreNLPProtos.Quote.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphOrBuilder() CoreNLPProtos.Quote.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphOrBuilder() CoreNLPProtos.Quote
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAttributionDependencyGraphOrBuilder() CoreNLPProtos.QuoteOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
getAuthor() CoreNLPProtos.Quote.Builder
optional string author = 11;
getAuthor() CoreNLPProtos.Quote
optional string author = 11;
getAuthor() CoreNLPProtos.QuoteOrBuilder
optional string author = 11;
getAuthor() CoreNLPProtos.Section.Builder
optional string author = 3;
getAuthor() CoreNLPProtos.Section
optional string author = 3;
getAuthor() CoreNLPProtos.SectionOrBuilder
optional string author = 3;
getAuthorBytes() CoreNLPProtos.Quote.Builder
optional string author = 11;
getAuthorBytes() CoreNLPProtos.Quote
optional string author = 11;
getAuthorBytes() CoreNLPProtos.QuoteOrBuilder
optional string author = 11;
getAuthorBytes() CoreNLPProtos.Section.Builder
optional string author = 3;
getAuthorBytes() CoreNLPProtos.Section
optional string author = 3;
getAuthorBytes() CoreNLPProtos.SectionOrBuilder
optional string author = 3;
getAuthorCharBegin() CoreNLPProtos.Section.Builder
optional uint32 authorCharBegin = 7;
getAuthorCharBegin() CoreNLPProtos.Section
optional uint32 authorCharBegin = 7;
getAuthorCharBegin() CoreNLPProtos.SectionOrBuilder
optional uint32 authorCharBegin = 7;
getAuthorCharEnd() CoreNLPProtos.Section.Builder
optional uint32 authorCharEnd = 8;
getAuthorCharEnd() CoreNLPProtos.Section
optional uint32 authorCharEnd = 8;
getAuthorCharEnd() CoreNLPProtos.SectionOrBuilder
optional uint32 authorCharEnd = 8;
getAuxReader() MachineReading
getb1() Classifier
getBase() SUTime.RelativeTime
getBaseName(String) StringUtils
Strip directory from filename.
getBaseName(String, String) StringUtils
Strip directory and suffix from filename.
getBaseName(String, String, String) StringUtils
Strip directory and suffix from the given name.
getBaseTag(int, TreebankLanguagePack) BaseLexicon
getBasicCategoryFunction() AbstractTreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory() method.
getBasicCategoryFunction() TreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's basicCategory method.
getBasicDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBasicDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
getBatch(int) AbstractStochasticCachingDiffFunction
getBatch is used to generate the next sequence of indices to be passed to the actual function.
getBeamPrintingOption() StanfordCoreNLP
getBeamSize() CharniakParser
getBefore() CoreNLPProtos.Token.Builder
The whitespace/xml before the token
getBefore() CoreNLPProtos.Token
The whitespace/xml before the token
getBefore() CoreNLPProtos.TokenOrBuilder
The whitespace/xml before the token
getBeforeBytes() CoreNLPProtos.Token.Builder
The whitespace/xml before the token
getBeforeBytes() CoreNLPProtos.Token
The whitespace/xml before the token
getBeforeBytes() CoreNLPProtos.TokenOrBuilder
The whitespace/xml before the token
getBegin() Match
getBegin() CoreNLPProtos.Quote.Builder
optional uint32 begin = 2;
getBegin() CoreNLPProtos.Quote
optional uint32 begin = 2;
getBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 begin = 2;
getBegin() CoreNLPProtos.Span.Builder
required uint32 begin = 1;
getBegin() CoreNLPProtos.Span
required uint32 begin = 1;
getBegin() CoreNLPProtos.SpanOrBuilder
required uint32 begin = 1;
getBegin() Interval
Returns the start point.
getBeginChar() CoreNLPProtos.Token.Builder
The character offset begin, in the document
getBeginChar() CoreNLPProtos.Token
The character offset begin, in the document
getBeginChar() CoreNLPProtos.TokenOrBuilder
The character offset begin, in the document
getBeginIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 beginIndex = 6;
getBeginIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 beginIndex = 6;
getBeginIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 beginIndex = 6;
getBeginIndex() CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
getBeginIndex() CoreNLPProtos.Token
The begin index of, e.g., a span
getBeginIndex() CoreNLPProtos.TokenOrBuilder
The begin index of, e.g., a span
getBeginPoint() CoreNLPProtos.Timex.Builder
optional uint32 beginPoint = 6;
getBeginPoint() CoreNLPProtos.Timex
optional uint32 beginPoint = 6;
getBeginPoint() CoreNLPProtos.TimexOrBuilder
optional uint32 beginPoint = 6;
getBelongToLists(int) CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
getBelongToLists(int) CoreNLPProtos.Mention
repeated int32 belongToLists = 58;
getBelongToLists(int) CoreNLPProtos.MentionOrBuilder
repeated int32 belongToLists = 58;
getBelongToListsCount() CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
getBelongToListsCount() CoreNLPProtos.Mention
repeated int32 belongToLists = 58;
getBelongToListsCount() CoreNLPProtos.MentionOrBuilder
repeated int32 belongToLists = 58;
getBelongToListsList() CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
getBelongToListsList() CoreNLPProtos.Mention
repeated int32 belongToLists = 58;
getBelongToListsList() CoreNLPProtos.MentionOrBuilder
repeated int32 belongToLists = 58;
getBestBinarizedParse() ShiftReduceParserQuery
getBestDependencyParse(boolean) ParserQuery
getBestDependencyParse() LexicalizedParserQuery
getBestDependencyParse(boolean) LexicalizedParserQuery
getBestDependencyParse(boolean) RerankingParserQuery
getBestDependencyParse(boolean) ShiftReduceParserQuery
getBestFactoredParse() ParserQuery
getBestFactoredParse() LexicalizedParserQuery
getBestFactoredParse() RerankingParserQuery
getBestFactoredParse() ShiftReduceParserQuery
getBestMatched(List<T>, ToDoubleFunction<MatchedExpression>) MatchedExpression
getBestParse(List<? extends HasWord>) CharniakParser
getBestParse() ParserQuery
getBestParse() BiLexPCFGParser
Return the best parse of the sentence most recently parsed.
getBestParse() ExhaustiveDependencyParser
Return the best dependency parse for a sentence.
getBestParse() ExhaustivePCFGParser
getBestParse() FastFactoredParser
Return the best parse of the sentence most recently parsed.
getBestParse() LexicalizedParserQuery
Return the best parse of the sentence most recently parsed.
getBestParse() RerankingParserQuery
getBestParse() ShiftReduceParserQuery
getBestParse() ViterbiParser
Returns a best parse of the last sentence on which parse was
called, or null if none exists.
getBestParses() KBestViterbiParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() BiLexPCFGParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() ExhaustiveDependencyParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() ExhaustivePCFGParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestParses() FastFactoredParser
Get a complete set of the maximally scoring parses for a sentence,
rather than one chosen at random.
getBestPCFGParse() ParserQuery
getBestPCFGParse() LexicalizedParserQuery
getBestPCFGParse(boolean) LexicalizedParserQuery
getBestPCFGParse() RerankingParserQuery
getBestPCFGParse() ShiftReduceParserQuery
TODO: can we get away with not calling this PCFG?
getBestPCFGParses() ParserQuery
getBestPCFGParses() LexicalizedParserQuery
getBestPCFGParses() RerankingParserQuery
getBestPCFGParses() ShiftReduceParserQuery
TODO: if this is a beam, return all equal parses
getBestScore() ParserQuery
getBestScore() KBestViterbiParser
Gets the score (typically a log probability) of the best
parse of a sentence.
getBestScore() BiLexPCFGParser
getBestScore() ExhaustiveDependencyParser
getBestScore() ExhaustivePCFGParser
getBestScore(String) ExhaustivePCFGParser
getBestScore() FastFactoredParser
getBestScore() LexicalizedParserQuery
Checks which parser (factored, PCFG, or dependency) was used and
returns the score of the best parse from this parser.
getBestScore() RerankingParserQuery
getBestScore() ShiftReduceParserQuery
getBestScoredParse(List<? extends HasWord>) CharniakParser
getBestTransitionSequence() ShiftReduceParserQuery
getBiasedDataset(ObjectBank<List<IN>>, Index<String>, Index<String>) CMMClassifier
getBinarizedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinarizedParseTreeOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
getBinaryClassification(String, String) SentimentModel
getBinaryTensor(String, String) SentimentModel
getBinaryTransform(String, String) SentimentModel
getBlock(Object) FastExactAutomatonMinimizer
getBool(Properties, String) PropertiesUtils
Load a boolean property.
getBool(Properties, String, boolean) PropertiesUtils
Load a boolean property.
getBooleanArrayComparator() Comparators
getBoundaryCharacter() IOBUtils
getBuffer(int) Configuration
Get the sentence index of the kth word on the buffer.
getBufferedFileReader(String) IOUtils
getBufferedReader(Reader) DocumentReader
Wraps the given Reader in a BufferedReader or returns it directly if it
is already a BufferedReader.
getBufferedReaderFromClasspathOrFileSystem(String) IOUtils
getBufferSize() Configuration
getByteEnd() AceCharSeq
getByteEnd() AceToken
getByteOffset() AceCharSeq
getByteOffset() AceToken
getByteStart() AceCharSeq
getByteStart() AceToken
getBZip2PipedInputStream(String) IOUtils
getBZip2PipedOutputStream(String) IOUtils
getC() SVMLightClassifierFactory
Get the C parameter (for the slack variables) for training the SVM.
getCalendar() CoreNLPProtos.Document.Builder
optional uint64 calendar = 8;
getCalendar() CoreNLPProtos.Document
optional uint64 calendar = 8;
getCalendar() CoreNLPProtos.DocumentOrBuilder
optional uint64 calendar = 8;
getCalibratedCliqueTree(int[][][], List<Index<CRFLabel>>, int, Index<E>, E, CliquePotentialFunction, double[][][]) CRFCliqueTree
getCalibratedCliqueTree(double[], double, int[][], int[][][], List<Index<CRFLabel>>, int, Index<E>, E) CRFCliqueTree
This function assumes a LinearCliquePotentialFunction is used for wrapping the weights
getCalibratedCliqueTree(float[][], int[][][], List<Index<CRFLabel>>, int) CRFLogConditionalObjectiveFloatFunction
getCanonicalEntityMentionIndex() CoreNLPProtos.NERMention.Builder
optional uint32 canonicalEntityMentionIndex = 11;
getCanonicalEntityMentionIndex() CoreNLPProtos.NERMention
optional uint32 canonicalEntityMentionIndex = 11;
getCanonicalEntityMentionIndex() CoreNLPProtos.NERMentionOrBuilder
optional uint32 canonicalEntityMentionIndex = 11;
getCanonicalMention() CoreNLPProtos.Quote.Builder
optional string canonicalMention = 19;
getCanonicalMention() CoreNLPProtos.Quote
optional string canonicalMention = 19;
getCanonicalMention() CoreNLPProtos.QuoteOrBuilder
optional string canonicalMention = 19;
getCanonicalMentionBegin() CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionBegin = 20;
getCanonicalMentionBegin() CoreNLPProtos.Quote
optional uint32 canonicalMentionBegin = 20;
getCanonicalMentionBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 canonicalMentionBegin = 20;
getCanonicalMentionBytes() CoreNLPProtos.Quote.Builder
optional string canonicalMention = 19;
getCanonicalMentionBytes() CoreNLPProtos.Quote
optional string canonicalMention = 19;
getCanonicalMentionBytes() CoreNLPProtos.QuoteOrBuilder
optional string canonicalMention = 19;
getCanonicalMentionEnd() CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionEnd = 21;
getCanonicalMentionEnd() CoreNLPProtos.Quote
optional uint32 canonicalMentionEnd = 21;
getCanonicalMentionEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 canonicalMentionEnd = 21;
getCase() AceToken
getCategory() CoreNLPProtos.Token.Builder
The word's 'category' (e.g., parse tree node)
getCategory() CoreNLPProtos.Token
The word's 'category' (e.g., parse tree node)
getCategory() CoreNLPProtos.TokenOrBuilder
The word's 'category' (e.g., parse tree node)
getCategoryAndFunctionFunction() AbstractTreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction() method.
getCategoryAndFunctionFunction() TreebankLanguagePack
Returns a
Function object that maps Strings to Strings according
to this TreebankLanguagePack's categoryAndFunction method.
getCategoryBytes() CoreNLPProtos.Token.Builder
The word's 'category' (e.g., parse tree node)
getCategoryBytes() CoreNLPProtos.Token
The word's 'category' (e.g., parse tree node)
getCategoryBytes() CoreNLPProtos.TokenOrBuilder
The word's 'category' (e.g., parse tree node)
getChainID() CorefChain
getChainID() CorefChain
getChainID() CoreNLPProtos.CorefChain.Builder
required int32 chainID = 1;
getChainID() CoreNLPProtos.CorefChain
required int32 chainID = 1;
getChainID() CoreNLPProtos.CorefChainOrBuilder
required int32 chainID = 1;
getChapterIndex() CoreNLPProtos.Sentence.Builder
quote stuff
getChapterIndex() CoreNLPProtos.Sentence
quote stuff
getChapterIndex() CoreNLPProtos.SentenceOrBuilder
quote stuff
getCharacter(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacter(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacter(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacter(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacter(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacter(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacter(char) Characters
getCharacterBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterNgrams(String, int, int) StringUtils
Build a list of character-based ngrams from the given string.
getCharacterOffsetBegin() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetBegin = 5;
getCharacterOffsetBegin() CoreNLPProtos.Sentence
optional uint32 characterOffsetBegin = 5;
getCharacterOffsetBegin() CoreNLPProtos.SentenceOrBuilder
optional uint32 characterOffsetBegin = 5;
getCharacterOffsetEnd() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetEnd = 6;
getCharacterOffsetEnd() CoreNLPProtos.Sentence
optional uint32 characterOffsetEnd = 6;
getCharacterOffsetEnd() CoreNLPProtos.SentenceOrBuilder
optional uint32 characterOffsetEnd = 6;
getCharacterOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
getCharacterOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharacterOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
getCharBegin() CoreNLPProtos.Section.Builder
required uint32 charBegin = 1;
getCharBegin() CoreNLPProtos.Section
required uint32 charBegin = 1;
getCharBegin() CoreNLPProtos.SectionOrBuilder
required uint32 charBegin = 1;
getCharEnd() CoreNLPProtos.Section.Builder
required uint32 charEnd = 2;
getCharEnd() CoreNLPProtos.Section
required uint32 charEnd = 2;
getCharEnd() CoreNLPProtos.SectionOrBuilder
required uint32 charEnd = 2;
getCharOffsets() MatchedExpression
getChars(char) RadicalMap
What are the Characters with this primary radical?
getChild(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChild(int) Tree
Return the child at some daughter index.
getChild(Object, int) FileTreeModel
getChildBuilder(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildBuilderList() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildByAttribute(Node, String, String) DomReader
Searches for children that have the given attribute
getChildByName(Node, String) DomReader
Searches (recursively) for the first child that has the given name
getChildByNameAndAttribute(Node, String, String, String) DomReader
Searches for children that have the given name and attribute
getChildCount() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount() CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount() CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildCount(Object) FileTreeModel
getChildList() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList() CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList() CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildList(IndexedWord) SemanticGraph
getChildOrBuilder(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilder(int) CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilder(int) CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() CoreNLPProtos.ParseTree
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildOrBuilderList() CoreNLPProtos.ParseTreeOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
getChildren(V) DirectedMultiGraph
getChildren(V) Graph
for undirected graph, it is just the neighbors
getChildren() TrieMap
getChildren(IndexedWord) SemanticGraph
getChildren() CoordinationPattern
getChildren() NodePattern
getChildren() DescriptionPattern
getChildrenAsList() Tree
Returns a List of children for the current node.
getChildrenByName(Node, String) DomReader
Searches for all immediate children with the given name
getChildrenWithPrepC(SemanticGraph, IndexedWord) SemanticGraphUtils
Since graphs can be have preps collapsed, finds all the immediate children of this node
that are linked by a collapsed preposition edge.
getChildrenWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Returns a set of all children bearing a certain grammatical relation, or
an empty set if none.
getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, String) SemanticGraphUtils
Returns a list of all children bearing a grammatical relation starting with the given string, relnPrefix
getChildrenWithRelnPrefix(SemanticGraph, IndexedWord, Collection<String>) SemanticGraphUtils
Returns a list of all children bearing a grammatical relation starting with the given set of relation prefixes
getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) SemanticGraph
Returns a set of all children bearing one of a set of grammatical
relations, or an empty set if none.
getChildTrie(K) TrieMap
getChildTrie(Iterable<K>) TrieMap
getChildWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Returns the first IndexedFeatureLabel bearing a certain grammatical
relation, or null if none.
getChineseChar() CoreNLPProtos.Token.Builder
Chinese character info
getChineseChar() CoreNLPProtos.Token
Chinese character info
getChineseChar() CoreNLPProtos.TokenOrBuilder
Chinese character info
getChineseCharBytes() CoreNLPProtos.Token.Builder
Chinese character info
getChineseCharBytes() CoreNLPProtos.Token
Chinese character info
getChineseCharBytes() CoreNLPProtos.TokenOrBuilder
Chinese character info
getChineseSeg() CoreNLPProtos.Token.Builder
optional string chineseSeg = 55;
getChineseSeg() CoreNLPProtos.Token
optional string chineseSeg = 55;
getChineseSeg() CoreNLPProtos.TokenOrBuilder
optional string chineseSeg = 55;
getChineseSegBytes() CoreNLPProtos.Token.Builder
optional string chineseSeg = 55;
getChineseSegBytes() CoreNLPProtos.Token
optional string chineseSeg = 55;
getChineseSegBytes() CoreNLPProtos.TokenOrBuilder
optional string chineseSeg = 55;
getChineseXMLChar() CoreNLPProtos.Token.Builder
optional string chineseXMLChar = 60;
getChineseXMLChar() CoreNLPProtos.Token
optional string chineseXMLChar = 60;
getChineseXMLChar() CoreNLPProtos.TokenOrBuilder
optional string chineseXMLChar = 60;
getChineseXMLCharBytes() CoreNLPProtos.Token.Builder
optional string chineseXMLChar = 60;
getChineseXMLCharBytes() CoreNLPProtos.Token
optional string chineseXMLChar = 60;
getChineseXMLCharBytes() CoreNLPProtos.TokenOrBuilder
optional string chineseXMLChar = 60;
getChunk() AceToken
getChunker() MultiClassChunkEvalStats
getChunkOffsets() MatchedExpression
getChunkOffsetsUsingCharOffsets(List<? extends CoreMap>, int, int) ChunkAnnotationUtils
Return chunk offsets
getClass(String, Dictionary, int, TTags) AmbiguityClasses
getClassifier(String) ColumnDataClassifier
Return a new ColumnDataClassifier object based on a serialized object.
getClassifier(ObjectInputStream) ColumnDataClassifier
Return a new ColumnDataClassifier object based on a serialized object.
getClassifier() ColumnDataClassifier
getClassifier() PairwiseModel
getClassifier(String, Properties) ClassifierCombiner
getClassifier(ObjectInputStream, Properties) ClassifierCombiner
getClassifier(File) CRFClassifier
Loads a CRF classifier from a filepath, and returns it.
getClassifier(InputStream) CRFClassifier
Loads a CRF classifier from an InputStream, and returns it.
getClassifier(ObjectInputStream) CRFClassifier
getClassifier(String) CRFClassifier
getClassifier(String, Properties) CRFClassifier
getClassifier(ObjectInputStream, Properties) CRFClassifier
getClassifier(File) CMMClassifier
getClassifier(String) CMMClassifier
getClassifier(ObjectInputStream) CMMClassifier
getClassifier(ObjectInputStream, Properties) CMMClassifier
getClassifier(InputStream) CMMClassifier
getClassifier(String, Properties) NERClassifierCombiner
Static method for getting an NERClassifierCombiner from a string path.
getClassifier(ObjectInputStream, Properties) NERClassifierCombiner
getClassifier() ExtractQuotesClassifier
getClassifierCreator(GeneralDataset<L, F>) LinearClassifierFactory
getClassifierNoExceptions(String) CRFClassifier
getClassifierNoExceptions(File) CMMClassifier
getClassifierNoExceptions(String) CMMClassifier
getClassifierNoExceptions(InputStream) CMMClassifier
getClassifierType(Properties, String) HybridCorefProperties
getClasss() AceEntity
getClassWeight(int) RNNTrainOptions
The classWeights can be passed in as a comma separated list of
weights using the -classWeights flag.
getClassWForNode(Tree) SentimentModel
getCliqueFeatures(PaddedList<IN>, int, Clique) NERFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) ArabicSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) FeatureFactory
This method returns a
Collection of the features
calculated for the word at the specified position in info (the list of
words) for the specified
Clique.
getCliqueFeatures(PaddedList<IN>, int, Clique) ChineseSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) Gale2007ChineseSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliquePotentialFunction(double[]) CRFLogConditionalObjectiveFloatFunction
getCliquePotentialFunction(double[]) CRFLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) CRFLogConditionalObjectiveFunctionForLOP
getCliquePotentialFunction(double[]) CRFNonLinearLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) CRFNonLinearSecondOrderLogConditionalObjectiveFunction
getCliquePotentialFunction(double[]) HasCliquePotentialFunction
getCliquePotentialFunctionForTest() CRFClassifier
getCliquePotentialFunctionForTest() CRFClassifierNonlinear
getCliques() FeatureFactory
getCliques(int, int) FeatureFactory
getCliqueTree(Triple<int[][][], int[], double[][][]>) CRFClassifier
getCliqueTree(List<IN>) CRFClassifier
getCliqueTrees(String, DocumentReaderAndWriter<IN>) CRFClassifier
Want to make arbitrary probability queries? Then this is the method for
you.
getClosedClassTags() TaggerConfig
getClosedTagThreshold() TaggerConfig
getClosestMention(CoreMap) ClosestMentionSieve
getClusterID() CorefCluster
getClusterID() CorefCluster
getClusterMerges(ClustererDataLoader.ClustererDoc) Clusterer
getCmd() CRFClassifierEvaluator
getCmd() CmdEvaluator
getCmd(String) CmdEvaluator
getCoarseNER() CoreNLPProtos.Token.Builder
The word's coarse NER tag
getCoarseNER() CoreNLPProtos.Token
The word's coarse NER tag
getCoarseNER() CoreNLPProtos.TokenOrBuilder
The word's coarse NER tag
getCoarseNERBytes() CoreNLPProtos.Token.Builder
The word's coarse NER tag
getCoarseNERBytes() CoreNLPProtos.Token
The word's coarse NER tag
getCoarseNERBytes() CoreNLPProtos.TokenOrBuilder
The word's coarse NER tag
getCoarseTag() CoreNLPProtos.Token.Builder
The coarse POS tag (used to store the UPOS tag)
getCoarseTag() CoreNLPProtos.Token
The coarse POS tag (used to store the UPOS tag)
getCoarseTag() CoreNLPProtos.TokenOrBuilder
The coarse POS tag (used to store the UPOS tag)
getCoarseTagBytes() CoreNLPProtos.Token.Builder
The coarse POS tag (used to store the UPOS tag)
getCoarseTagBytes() CoreNLPProtos.Token
The coarse POS tag (used to store the UPOS tag)
getCoarseTagBytes() CoreNLPProtos.TokenOrBuilder
The coarse POS tag (used to store the UPOS tag)
getCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedCCProcessedDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
getCollapsedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollapsedDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
getCollectionValuedMap(K1) TwoDimensionalCollectionValuedMap
getCombinedF1(double, List<List<Integer>>, List<Clusterer.Cluster>, Map<Integer, List<Integer>>, Map<Integer, Clusterer.Cluster>) EvalUtils
getComments() SemanticGraph
Return the list of comments stored with this graph.
getCommonAncestor(IndexedWord, IndexedWord) SemanticGraph
Returns the least common ancestor.
getCommonEngWords() ConstantsAndVariables
getCompatible(SUTime.PartialTime, SUTime.PartialTime) SUTime.PartialTime
getConditionalDistribution(int[], int) CRFCliqueTree
Computes the distribution over values of the element at position pos in the
sequence, conditioned on the values of the elements in all other positions
of the provided sequence.
getConditionalDistribution(int[], int) EntityCachingAbstractSequencePriorBIO
getCondProbs(CRFCliqueTree<String>, int[][][]) CRFLogConditionalObjectiveFunction
getConfidence() CoreNLPProtos.RelationTriple.Builder
The [optional] confidence of the extraction
getConfidence() CoreNLPProtos.RelationTriple
The [optional] confidence of the extraction
getConfidence() CoreNLPProtos.RelationTripleOrBuilder
The [optional] confidence of the extraction
getConfiguration() JollyDayHolidays.MyXMLManager
getConj(String) EnglishGrammaticalRelations
The "conj" grammatical relation.
getConj(String) UniversalEnglishGrammaticalRelations
The "conj" grammatical relation.
getConjs() EnglishGrammaticalRelations
getConjs() UniversalEnglishGrammaticalRelations
getConllEvalString() MultiClassChunkEvalStats
getConllEvalString() MultiClassPrecisionRecallExtendedStats
getConllEvalString(boolean) MultiClassPrecisionRecallExtendedStats
getConllEvalSummary(String, String, String) SieveCoreferenceSystem
getConllUFeatures() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeatures() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeatures() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUFeaturesOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
getConllUMisc() CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
getConllUMisc() CoreNLPProtos.Token
optional string conllUMisc = 35;
getConllUMisc() CoreNLPProtos.TokenOrBuilder
optional string conllUMisc = 35;
getConllUMiscBytes() CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
getConllUMiscBytes() CoreNLPProtos.Token
optional string conllUMisc = 35;
getConllUMiscBytes() CoreNLPProtos.TokenOrBuilder
optional string conllUMisc = 35;
getConllUSecondaryDeps() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDeps() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDeps() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUSecondaryDepsOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
getConllUTokenSpan() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpan() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpan() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConllUTokenSpanOrBuilder() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
getConnectedComponents(Graph<V, E>) ConnectedComponents
getConnectedComponents() DirectedMultiGraph
getConnectedComponents() Graph
getConnection() SQLConnection
getConstituentTreePrinter() StanfordCoreNLP
getConstrainedSet(String) LabelDictionary
Get the allowed label set for an observation.
getConstraints() ExhaustivePCFGParser
getConstraints() Lattice
getContent() AceMentionArgument
getContentType(Properties, StanfordCoreNLP.OutputFormat) StanfordCoreNLPServer.CoreNLPHandler
Get the response data type to send to the client, based off of the output format requested from
CoreNLP.
getContext() Mention
getContext() Mention
getContext(DataInstance, int, Set<CandidatePhrase>) DepPatternFactory
getContext(PatternFactory.PatternType, DataInstance, int, Set<CandidatePhrase>) Pattern
Get set of patterns around this token.
getContext(List<CoreLabel>, int, Set<CandidatePhrase>) SurfacePatternFactory
getContextStr(String) SurfacePattern
getContextToken(CoreLabel) SurfacePattern
getContingency(U) ConfusionMatrix
Returns the contingency table for the given class label, where all other
class labels are treated as negative.
getConversationalNextPrediction(List<CoreMap>, int, Person.Gender) BaselineTopSpeakerSieve
getConversationalPreviousPrediction(List<CoreMap>, int, Person.Gender) BaselineTopSpeakerSieve
getConverterOptions(String) GrammaticalStructureConversionUtils.ConverterOptions
getCoordination() Mention
getCoordination() Mention
getCopy(Counter<E>) Counters
getCopy() IntPair
getCopy() IntQuadruple
getCopy() IntTriple
getCopy() IntTuple
getCopy() IntUni
getCopyAnnotation() CoreNLPProtos.DependencyGraph.Node.Builder
optional uint32 copyAnnotation = 3;
getCopyAnnotation() CoreNLPProtos.DependencyGraph.Node
optional uint32 copyAnnotation = 3;
getCopyAnnotation() CoreNLPProtos.DependencyGraph.NodeOrBuilder
optional uint32 copyAnnotation = 3;
getCopyCount() CoreNLPProtos.IndexedWord.Builder
optional uint32 copyCount = 4;
getCopyCount() CoreNLPProtos.IndexedWord
optional uint32 copyCount = 4;
getCopyCount() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 copyCount = 4;
getCorefChain(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChain(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChain(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainMap() CoNLLDocumentReader.CoNLLDocument
getCorefChainMap() CoNLL2011DocumentReader.Document
getCorefChainOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefChainOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
getCorefClusterId() SpeakerInfo
getCorefClusterId() SpeakerInfo
getCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 corefClusterID = 15;
getCorefClusterID() CoreNLPProtos.Mention
optional int32 corefClusterID = 15;
getCorefClusterID() CoreNLPProtos.MentionOrBuilder
optional int32 corefClusterID = 15;
getCorefClusterID() CoreNLPProtos.Token.Builder
The [primary] cluster id for this token
getCorefClusterID() CoreNLPProtos.Token
The [primary] cluster id for this token
getCorefClusterID() CoreNLPProtos.TokenOrBuilder
The [primary] cluster id for this token
getCorefID() EntityMention
getCorefID() CoreNLPProtos.Entity.Builder
optional string corefID = 11;
getCorefID() CoreNLPProtos.Entity
optional string corefID = 11;
getCorefID() CoreNLPProtos.EntityOrBuilder
optional string corefID = 11;
getCorefIDBytes() CoreNLPProtos.Entity.Builder
optional string corefID = 11;
getCorefIDBytes() CoreNLPProtos.Entity
optional string corefID = 11;
getCorefIDBytes() CoreNLPProtos.EntityOrBuilder
optional string corefID = 11;
getCorefMentionIndex(int) CoreNLPProtos.Token.Builder
mention index info
getCorefMentionIndex(int) CoreNLPProtos.Token
mention index info
getCorefMentionIndex(int) CoreNLPProtos.TokenOrBuilder
mention index info
getCorefMentionIndexCount() CoreNLPProtos.Token.Builder
mention index info
getCorefMentionIndexCount() CoreNLPProtos.Token
mention index info
getCorefMentionIndexCount() CoreNLPProtos.TokenOrBuilder
mention index info
getCorefMentionIndexList() CoreNLPProtos.Token.Builder
mention index info
getCorefMentionIndexList() CoreNLPProtos.Token
mention index info
getCorefMentionIndexList() CoreNLPProtos.TokenOrBuilder
mention index info
getCorefMentions() CorefCluster
getCorefMentions() CorefCluster
getCorefMentionToEntityMentionMappings(int) CoreNLPProtos.Document.Builder
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappings(int) CoreNLPProtos.Document
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappings(int) CoreNLPProtos.DocumentOrBuilder
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsCount() CoreNLPProtos.Document.Builder
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsCount() CoreNLPProtos.Document
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsCount() CoreNLPProtos.DocumentOrBuilder
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsList() CoreNLPProtos.Document.Builder
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsList() CoreNLPProtos.Document
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCorefMentionToEntityMentionMappingsList() CoreNLPProtos.DocumentOrBuilder
repeated uint32 corefMentionToEntityMentionMappings = 17;
getCoreLabel(Tree) FeatureFactory
getCoreLabels() Configuration
getCoreMapQuotes(List<Pair<Integer, Integer>>, List<CoreLabel>, List<CoreMap>, String, String, boolean) QuoteAnnotator
getCorrect() MultiClassPrecisionRecallExtendedStats
Return overall number of correct answers
getCorrect(L) MultiClassPrecisionRecallExtendedStats
getCost() ApproxMatch
getCost(V) BoundedCostOrderedMap
getCost() Classifier.Cost
getCount(int) StringDictionary
getCount(Object) ClassicCounter
Returns the count for this key as a double.
getCount(Object) Counter
Returns the count for this key as a double.
getCount(E) Distribution
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
getCount(Object) GeneralizedCounter
getCount(K, K) GeneralizedCounter
getCount(K, K, K) GeneralizedCounter
getCount(Object) IntCounter
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
getCount(K1, K2) TwoDimensionalCounter
getCount(K1, K2) TwoDimensionalCounterInterface
getCount(K1, K2) TwoDimensionalIntCounter
getCount(String, String) Dictionary
getCount(String) GoogleNGramsSQLBacked
Queries the SQL tables for the count of the phrase.
getCountAsString(E) IntCounter
getCountCounts(Counter<E>) Counters
getCounter() Distribution
getCounter(K1) TwoDimensionalCounter
getCounter(K1) TwoDimensionalCounterInterface
getCounter(K1) TwoDimensionalIntCounter
getCountIn() CountWrapper
getCountIn(String) Dictionary
getCountPart() CountWrapper
getCountPart(String) Dictionary
getCountRB() CountWrapper
getCountRB(String) Dictionary
getCounts(Counter<E>, Collection<E>) Counters
getCounts(List<K>) GeneralizedCounter
returns a double[] array of length
depth+1, containing the conditional counts on a
depth-length list given each level of conditional
distribution from 0 to depth.
getCounts(Collection<String>) GoogleNGramsSQLBacked
getCountThat() CountWrapper
getCountThat(String) Dictionary
getCurEncoding() FileTreeModel
getCurrentFilename() DiskTreebank
Returns the absolute path of the file currently being read.
getCurrentPaths() DiskTreebank
getCurrentSieveForTrain(Properties) HybridCorefProperties
getCurrentTime() SUTime
getCurWordMinFeatureThresh() TaggerConfig
getCustom() Match
getData() PhraseTable.Phrase
getDataArray() GeneralDataset
getDataInputStream(String) IOUtils
getDataOutputStream(String) IOUtils
getDataset(Collection<List<IN>>) CMMClassifier
Build a Dataset from some data.
getDataset(Collection<List<IN>>, Index<String>, Index<String>) CMMClassifier
Build a Dataset from some data.
getDataset(ObjectBank<List<IN>>, Dataset<String, String>) CMMClassifier
Build a Dataset from some data.
getDataset(Dataset<String, String>, Index<String>) CMMClassifier
Build a Dataset from some data.
getDatasets() MachineReading
getDate() Timex
Gets the Calendar matching the year, month and day of this Timex.
getDateString() ISODateInstance
Provided for backwards compatibility with DateInstance;
returns the same thing as toString()
getDatetime() CoreNLPProtos.Section.Builder
optional string datetime = 5;
getDatetime() CoreNLPProtos.Section
optional string datetime = 5;
getDatetime() CoreNLPProtos.SectionOrBuilder
optional string datetime = 5;
getDatetimeBytes() CoreNLPProtos.Section.Builder
optional string datetime = 5;
getDatetimeBytes() CoreNLPProtos.Section
optional string datetime = 5;
getDatetimeBytes() CoreNLPProtos.SectionOrBuilder
optional string datetime = 5;
getDateTimeFields() SUTime.Duration
getDatum(int) Dataset
getDatum(int) GeneralDataset
getDatum(int) RVFDataset
getDay() SUTime.IsoDate
getDebug() TaggerConfig
getDebugPrefix() TaggerConfig
getDeepTrees() DVModelReranker.Query
getDefaultAggregator() CoreMapAggregator
getDefaultAggregators() CoreMapAttributeAggregator
getDefaultAnnotatorPool(Properties, AnnotatorImplementations) StanfordCoreNLP
Construct the default annotator pool, and save it as the static annotator pool
for CoreNLP.
getDefaultClassifier() CRFClassifier
Used to get the default supplied classifier inside the jar file.
getDefaultClassifier(Properties) CRFClassifier
Used to get the default supplied classifier inside the jar file.
getDefaultClassifier() CMMClassifier
Used to obtain the default classifier which is
stored inside a jar file.
getDefaultColor() ScrollableTreeJPanel
getDefaultInstance() CoreNLPProtos.CorefChain.CorefMention
getDefaultInstance() CoreNLPProtos.CorefChain
getDefaultInstance() CoreNLPProtos.DependencyGraph.Edge
getDefaultInstance() CoreNLPProtos.DependencyGraph
getDefaultInstance() CoreNLPProtos.DependencyGraph.Node
getDefaultInstance() CoreNLPProtos.Document
getDefaultInstance() CoreNLPProtos.Entity
getDefaultInstance() CoreNLPProtos.IndexedWord
getDefaultInstance() CoreNLPProtos.MapIntString
getDefaultInstance() CoreNLPProtos.MapStringString
getDefaultInstance() CoreNLPProtos.Mention
getDefaultInstance() CoreNLPProtos.NERMention
getDefaultInstance() CoreNLPProtos.Operator
getDefaultInstance() CoreNLPProtos.ParseTree
getDefaultInstance() CoreNLPProtos.Polarity
getDefaultInstance() CoreNLPProtos.Quote
getDefaultInstance() CoreNLPProtos.Relation
getDefaultInstance() CoreNLPProtos.RelationTriple
getDefaultInstance() CoreNLPProtos.Section
getDefaultInstance() CoreNLPProtos.Sentence
getDefaultInstance() CoreNLPProtos.SentenceFragment
getDefaultInstance() CoreNLPProtos.Span
getDefaultInstance() CoreNLPProtos.SpeakerInfo
getDefaultInstance() CoreNLPProtos.Timex
getDefaultInstance() CoreNLPProtos.Token
getDefaultInstance() CoreNLPProtos.TokenLocation
getDefaultInstanceForType() CoreNLPProtos.CorefChain.Builder
getDefaultInstanceForType() CoreNLPProtos.CorefChain.CorefMention.Builder
getDefaultInstanceForType() CoreNLPProtos.CorefChain.CorefMention
getDefaultInstanceForType() CoreNLPProtos.CorefChain
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Builder
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Edge.Builder
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Edge
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Node.Builder
getDefaultInstanceForType() CoreNLPProtos.DependencyGraph.Node
getDefaultInstanceForType() CoreNLPProtos.Document.Builder
getDefaultInstanceForType() CoreNLPProtos.Document
getDefaultInstanceForType() CoreNLPProtos.Entity.Builder
getDefaultInstanceForType() CoreNLPProtos.Entity
getDefaultInstanceForType() CoreNLPProtos.IndexedWord.Builder
getDefaultInstanceForType() CoreNLPProtos.IndexedWord
getDefaultInstanceForType() CoreNLPProtos.MapIntString.Builder
getDefaultInstanceForType() CoreNLPProtos.MapIntString
getDefaultInstanceForType() CoreNLPProtos.MapStringString.Builder
getDefaultInstanceForType() CoreNLPProtos.MapStringString
getDefaultInstanceForType() CoreNLPProtos.Mention.Builder
getDefaultInstanceForType() CoreNLPProtos.Mention
getDefaultInstanceForType() CoreNLPProtos.NERMention.Builder
getDefaultInstanceForType() CoreNLPProtos.NERMention
getDefaultInstanceForType() CoreNLPProtos.Operator.Builder
getDefaultInstanceForType() CoreNLPProtos.Operator
getDefaultInstanceForType() CoreNLPProtos.ParseTree.Builder
getDefaultInstanceForType() CoreNLPProtos.ParseTree
getDefaultInstanceForType() CoreNLPProtos.Polarity.Builder
getDefaultInstanceForType() CoreNLPProtos.Polarity
getDefaultInstanceForType() CoreNLPProtos.Quote.Builder
getDefaultInstanceForType() CoreNLPProtos.Quote
getDefaultInstanceForType() CoreNLPProtos.Relation.Builder
getDefaultInstanceForType() CoreNLPProtos.Relation
getDefaultInstanceForType() CoreNLPProtos.RelationTriple.Builder
getDefaultInstanceForType() CoreNLPProtos.RelationTriple
getDefaultInstanceForType() CoreNLPProtos.Section.Builder
getDefaultInstanceForType() CoreNLPProtos.Section
getDefaultInstanceForType() CoreNLPProtos.Sentence.Builder
getDefaultInstanceForType() CoreNLPProtos.Sentence
getDefaultInstanceForType() CoreNLPProtos.SentenceFragment.Builder
getDefaultInstanceForType() CoreNLPProtos.SentenceFragment
getDefaultInstanceForType() CoreNLPProtos.Span.Builder
getDefaultInstanceForType() CoreNLPProtos.Span
getDefaultInstanceForType() CoreNLPProtos.SpeakerInfo.Builder
getDefaultInstanceForType() CoreNLPProtos.SpeakerInfo
getDefaultInstanceForType() CoreNLPProtos.Timex.Builder
getDefaultInstanceForType() CoreNLPProtos.Timex
getDefaultInstanceForType() CoreNLPProtos.Token.Builder
getDefaultInstanceForType() CoreNLPProtos.Token
getDefaultInstanceForType() CoreNLPProtos.TokenLocation.Builder
getDefaultInstanceForType() CoreNLPProtos.TokenLocation
getDefaultNegTag() LabeledChunkIdentifier
getDefaultNestedResultsAnnotationKey() Env
getDefaultNestedResultsAnnotationKey(Env) EnvLookup
getDefaultOptions() TokenizerAnnotator.TokenizerType
getDefaultOutputPath() PairwiseModel
getDefaultPosTag() LabeledChunkIdentifier
getDefaultResultAnnotationExtractor(Env) EnvLookup
getDefaultResultAnnotationKey() Env
getDefaultResultAnnotationKey(Env) EnvLookup
getDefaultResultsAnnotationExtractor() Env
getDefaults() Env
getDefaultScore() TaggerConfig
Returns a default score to be used for each tag that is incompatible with
the current word (e.g., the tag CC for the word "apple").
getDefaultStringMatchFlags() Env
getDefaultStringPatternFlags() Env
getDefaultTagSeparator() TaggerConfig
getDefaultTextAnnotationKey() Env
getDefaultTextAnnotationKey(Env) EnvLookup
getDefaultTokensAggregator() Env
getDefaultTokensAggregator(Env) EnvLookup
getDefaultTokensAggregators() Env
getDefaultTokensAggregators(Env) EnvLookup
getDefaultTokensAnnotationKey() Env
getDefaultTokensAnnotationKey(Env) EnvLookup
getDefaultTokensResultAnnotationKey() Env
getDefaultTokensResultAnnotationKey(Env) EnvLookup
getDefaultUnit() Unit
getDefaultUnitScale() Unit
getDeleteTempFilesOnExitFlag() SVMLightClassifierFactory
getDemonyms(String) Dictionaries
Returns a set of demonyms for a country (or city or region).
getDemonyms(String) Dictionaries
Returns a set of demonyms for a country (or city or region).
getDep() CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
getDep() CoreNLPProtos.DependencyGraph.Edge
optional string dep = 3;
getDep() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional string dep = 3;
getDepBytes() CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
getDepBytes() CoreNLPProtos.DependencyGraph.Edge
optional string dep = 3;
getDepBytes() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional string dep = 3;
getDependencies(String, String) LexicalizedParserClient
Returns the String output of the dependencies.
getDependencyBlanket(SemanticGraph, Collection<IndexedWord>) SemanticGraphUtils
Given a SemanticGraph, and a set of nodes, finds the "blanket" of nodes that are one
edge away from the set of nodes passed in.
getDependencyParser() ParserQuery
getDependencyParser() LexicalizedParserQuery
getDependencyParser() RerankingParserQuery
getDependencyParser() ShiftReduceParserQuery
getDependencyTreePrinter() StanfordCoreNLP
getDependent() SemanticGraphEdge
getDependentIndex() UnnamedConcreteDependency
getDependents(int) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependents(int) CoreNLPProtos.Mention
repeated string dependents = 52;
getDependents(int) CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependentsBytes(int) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependentsBytes(int) CoreNLPProtos.Mention
repeated string dependents = 52;
getDependentsBytes(int) CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependentsCount() CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependentsCount() CoreNLPProtos.Mention
repeated string dependents = 52;
getDependentsCount() CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependentsList() CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
getDependentsList() CoreNLPProtos.Mention
repeated string dependents = 52;
getDependentsList() CoreNLPProtos.MentionOrBuilder
repeated string dependents = 52;
getDependingVerb() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerb() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerb() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDependingVerbOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
getDerivative() AbstractCachingDiffFunction
getDerivatives() LambdaSolve
assuming we have the lambdas in the array and we need only the
derivatives now.
getDerivativesExpectedValue() LambdaSolve
assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
getDerivativesLossDomination() LambdaSolve
Using the arrays calculated when computing the loss, it should not be
too hard to get the derivatives.
getDerivativesNeg() LambdaSolve
assuming we have the lambdas in the array and we need only the
derivatives now.
getDescription() ExtensionFileFilter
Returns a description of what extension is being used (for file choosers).
getDescription() ValueFunction
Returns a string describing what this function does.
getDescription() ValueFunctions.NamedValueFunction
getDescription(int) AccuracyStats
getDescription(int) MultiClassAccuracyStats
getDescription(int) MultiClassPrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getDescription(int) Scorer
getDescriptor() CoreNLPProtos.CorefChain.Builder
getDescriptor() CoreNLPProtos.CorefChain.CorefMention.Builder
getDescriptor() CoreNLPProtos.CorefChain.CorefMention
getDescriptor() CoreNLPProtos.CorefChain
getDescriptor() CoreNLPProtos.DependencyGraph.Builder
getDescriptor() CoreNLPProtos.DependencyGraph.Edge.Builder
getDescriptor() CoreNLPProtos.DependencyGraph.Edge
getDescriptor() CoreNLPProtos.DependencyGraph
getDescriptor() CoreNLPProtos.DependencyGraph.Node.Builder
getDescriptor() CoreNLPProtos.DependencyGraph.Node
getDescriptor() CoreNLPProtos.Document.Builder
getDescriptor() CoreNLPProtos.Document
getDescriptor() CoreNLPProtos.Entity.Builder
getDescriptor() CoreNLPProtos.Entity
getDescriptor() CoreNLPProtos
getDescriptor() CoreNLPProtos.IndexedWord.Builder
getDescriptor() CoreNLPProtos.IndexedWord
getDescriptor() CoreNLPProtos.Language
getDescriptor() CoreNLPProtos.MapIntString.Builder
getDescriptor() CoreNLPProtos.MapIntString
getDescriptor() CoreNLPProtos.MapStringString.Builder
getDescriptor() CoreNLPProtos.MapStringString
getDescriptor() CoreNLPProtos.Mention.Builder
getDescriptor() CoreNLPProtos.Mention
getDescriptor() CoreNLPProtos.NaturalLogicRelation
getDescriptor() CoreNLPProtos.NERMention.Builder
getDescriptor() CoreNLPProtos.NERMention
getDescriptor() CoreNLPProtos.Operator.Builder
getDescriptor() CoreNLPProtos.Operator
getDescriptor() CoreNLPProtos.ParseTree.Builder
getDescriptor() CoreNLPProtos.ParseTree
getDescriptor() CoreNLPProtos.Polarity.Builder
getDescriptor() CoreNLPProtos.Polarity
getDescriptor() CoreNLPProtos.Quote.Builder
getDescriptor() CoreNLPProtos.Quote
getDescriptor() CoreNLPProtos.Relation.Builder
getDescriptor() CoreNLPProtos.Relation
getDescriptor() CoreNLPProtos.RelationTriple.Builder
getDescriptor() CoreNLPProtos.RelationTriple
getDescriptor() CoreNLPProtos.Section.Builder
getDescriptor() CoreNLPProtos.Section
getDescriptor() CoreNLPProtos.Sentence.Builder
getDescriptor() CoreNLPProtos.Sentence
getDescriptor() CoreNLPProtos.SentenceFragment.Builder
getDescriptor() CoreNLPProtos.SentenceFragment
getDescriptor() CoreNLPProtos.Sentiment
getDescriptor() CoreNLPProtos.Span.Builder
getDescriptor() CoreNLPProtos.Span
getDescriptor() CoreNLPProtos.SpeakerInfo.Builder
getDescriptor() CoreNLPProtos.SpeakerInfo
getDescriptor() CoreNLPProtos.Timex.Builder
getDescriptor() CoreNLPProtos.Timex
getDescriptor() CoreNLPProtos.Token.Builder
getDescriptor() CoreNLPProtos.Token
getDescriptor() CoreNLPProtos.TokenLocation.Builder
getDescriptor() CoreNLPProtos.TokenLocation
getDescriptorForType() CoreNLPProtos.CorefChain.Builder
getDescriptorForType() CoreNLPProtos.CorefChain.CorefMention.Builder
getDescriptorForType() CoreNLPProtos.DependencyGraph.Builder
getDescriptorForType() CoreNLPProtos.DependencyGraph.Edge.Builder
getDescriptorForType() CoreNLPProtos.DependencyGraph.Node.Builder
getDescriptorForType() CoreNLPProtos.Document.Builder
getDescriptorForType() CoreNLPProtos.Entity.Builder
getDescriptorForType() CoreNLPProtos.IndexedWord.Builder
getDescriptorForType() CoreNLPProtos.Language
getDescriptorForType() CoreNLPProtos.MapIntString.Builder
getDescriptorForType() CoreNLPProtos.MapStringString.Builder
getDescriptorForType() CoreNLPProtos.Mention.Builder
getDescriptorForType() CoreNLPProtos.NaturalLogicRelation
getDescriptorForType() CoreNLPProtos.NERMention.Builder
getDescriptorForType() CoreNLPProtos.Operator.Builder
getDescriptorForType() CoreNLPProtos.ParseTree.Builder
getDescriptorForType() CoreNLPProtos.Polarity.Builder
getDescriptorForType() CoreNLPProtos.Quote.Builder
getDescriptorForType() CoreNLPProtos.Relation.Builder
getDescriptorForType() CoreNLPProtos.RelationTriple.Builder
getDescriptorForType() CoreNLPProtos.Section.Builder
getDescriptorForType() CoreNLPProtos.Sentence.Builder
getDescriptorForType() CoreNLPProtos.SentenceFragment.Builder
getDescriptorForType() CoreNLPProtos.Sentiment
getDescriptorForType() CoreNLPProtos.Span.Builder
getDescriptorForType() CoreNLPProtos.SpeakerInfo.Builder
getDescriptorForType() CoreNLPProtos.Timex.Builder
getDescriptorForType() CoreNLPProtos.Token.Builder
getDescriptorForType() CoreNLPProtos.TokenLocation.Builder
getDevDataPath(Properties) CorefProperties
getDiag(String) ScaledSGDMinimizer
getDictOddsScore(CandidatePhrase, String, double) PhraseScorer
getDiffConstituents() TreeFromFile
getDiffDecoratedTree() TreeFromFile
getDisplay() FileTreeNode
getDistribution(Counter<E>) Distribution
Creates a Distribution from the given counter.
getDistributionFromLogValues(Counter<E>) Distribution
Creates a Distribution from the given counter, ie makes an internal
copy of the counter and divides all counts by the total count.
getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) Distribution
Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
getDistributionWithReservedMass(Counter<E>, double) Distribution
getDistSimWtScore(String, String) PhraseScorer
getDocDate() CoreNLPProtos.Document.Builder
optional string docDate = 7;
getDocDate() CoreNLPProtos.Document
optional string docDate = 7;
getDocDate() CoreNLPProtos.DocumentOrBuilder
optional string docDate = 7;
getDocDateBytes() CoreNLPProtos.Document.Builder
optional string docDate = 7;
getDocDateBytes() CoreNLPProtos.Document
optional string docDate = 7;
getDocDateBytes() CoreNLPProtos.DocumentOrBuilder
optional string docDate = 7;
getDocID() CoreNLPProtos.Document.Builder
optional string docID = 4;
getDocID() CoreNLPProtos.Document
optional string docID = 4;
getDocID() CoreNLPProtos.DocumentOrBuilder
optional string docID = 4;
getDocID() CoreNLPProtos.IndexedWord.Builder
optional uint32 docID = 3;
getDocID() CoreNLPProtos.IndexedWord
optional uint32 docID = 3;
getDocID() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 docID = 3;
getDocid() CoreNLPProtos.Quote.Builder
optional string docid = 9;
getDocid() CoreNLPProtos.Quote
optional string docid = 9;
getDocid() CoreNLPProtos.QuoteOrBuilder
optional string docid = 9;
getDocID() CoreNLPProtos.Sentence.Builder
doc id
getDocID() CoreNLPProtos.Sentence
doc id
getDocID() CoreNLPProtos.SentenceOrBuilder
doc id
getDocIDBytes() CoreNLPProtos.Document.Builder
optional string docID = 4;
getDocIDBytes() CoreNLPProtos.Document
optional string docID = 4;
getDocIDBytes() CoreNLPProtos.DocumentOrBuilder
optional string docID = 4;
getDocidBytes() CoreNLPProtos.Quote.Builder
optional string docid = 9;
getDocidBytes() CoreNLPProtos.Quote
optional string docid = 9;
getDocidBytes() CoreNLPProtos.QuoteOrBuilder
optional string docid = 9;
getDocIDBytes() CoreNLPProtos.Sentence.Builder
doc id
getDocIDBytes() CoreNLPProtos.Sentence
doc id
getDocIDBytes() CoreNLPProtos.SentenceOrBuilder
doc id
getDocIterator(Reader) ColumnTabDocumentReaderWriter
getDocIterator(Reader, boolean) ColumnTabDocumentReaderWriter
getDocumentEmbedding(Document) EmbeddingExtractor
getDocumentID() CoNLLDocumentReader.CoNLLDocument
getDocumentID() CoNLL2011DocumentReader.Document
getDocumentId() ExtractionObject
getDomainNgramScore(String) PhraseScorer
getdot() DoubleAD
getDouble(Properties, String) PropertiesUtils
Load a double property.
getDouble(Properties, String, double) PropertiesUtils
Load a double property.
getDoubleArray(Properties, String) PropertiesUtils
Loads a comma-separated list of doubles from Properties.
getDownsamplingRate(Properties, String) HybridCorefProperties
getDuration() JollyDayHolidays.JollyHoliday
getDuration() SUTime.CompositePartialTime
getDuration(ReadablePeriod) SUTime.Duration
getDuration(org.joda.time.Duration) SUTime.Duration
getDuration() SUTime.Duration
getDuration() SUTime.ExplicitTemporalSet
getDuration() SUTime.GroundedTime
getDuration() SUTime.InexactTime
getDuration() SUTime.PartialTime
getDuration() SUTime.PeriodicTemporalSet
getDuration() SUTime.Range
getDuration() SUTime.RelativeTime
getDuration() SUTime.StandardTemporalType
getDuration() SUTime.Temporal
getDuration() SUTime.Time
getDuration() SUTime.TimeUnit
getDuration() SUTime.TimeWithRange
getE() Classifier
getEdge(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdge(IndexedWord, IndexedWord) SemanticGraph
getEdge(IndexedWord, IndexedWord, GrammaticalRelation) SemanticGraph
Given a governor, dependent, and the relation between them, returns the
SemanticGraphEdge object of that arc if it exists, otherwise returns null.
getEdge() NegraLabel
getEdgeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeCount() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilder(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdgeOrBuilderList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
getEdges(V, V) DirectedMultiGraph
getEdges(V, V) Graph
getEdges(Hook) HookChart
getEdgesOverSpan(int, int) Lattice
getEdgesSpannedByVertices(Collection<IndexedWord>, SemanticGraph) SemanticGraphUtils
Given a set of nodes from a SemanticGraph, returns the set of
edges that are spanned between these nodes.
getEditDistanceFromEnglishWords() ConstantsAndVariables
getEditDistanceFromEnglishWordsMatches() ConstantsAndVariables
getEditDistanceFromOtherClasses(String, String, int) ConstantsAndVariables
getEditDistanceFromThisClass(String, String, int) ConstantsAndVariables
getEditDistanceScoresOtherClass(String, String) ConstantsAndVariables
getEditDistanceScoresOtherClassThreshold(String, String) ConstantsAndVariables
1 if lies in edit distance, 0 if not close to any words
getEditDistanceScoresThisClass(String, String) ConstantsAndVariables
getEditDistanceScoresThisClassThreshold(String, String) ConstantsAndVariables
getEmbeddingSize() Embedding
getEnableTsurgeon() Preferences
getEncoding() StanfordCoreNLP
getEncoding(Properties) TaggedFileRecord
getEncoding() TaggerConfig
getEncoding() AbstractTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() FrenchTreebankLanguagePack
getEncoding() NegraPennLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() ChineseTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() TueBaDZLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() TreebankLanguagePack
Return the charset encoding of the Treebank.
getEncoding() Preferences
getEnd() RobustTokenizer.WordToken
getEnd() Match
getEnd() CoreNLPProtos.Quote.Builder
optional uint32 end = 3;
getEnd() CoreNLPProtos.Quote
optional uint32 end = 3;
getEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 end = 3;
getEnd() CoreNLPProtos.Span.Builder
required uint32 end = 2;
getEnd() CoreNLPProtos.Span
required uint32 end = 2;
getEnd() CoreNLPProtos.SpanOrBuilder
required uint32 end = 2;
getEnd() Interval
Returns the end point.
getEndChar() CoreNLPProtos.Token.Builder
The character offset end, in the document
getEndChar() CoreNLPProtos.Token
The character offset end, in the document
getEndChar() CoreNLPProtos.TokenOrBuilder
The character offset end, in the document
getEndDate() ISODateInstance
Returns this date or if it is a range,
the date the range ends.
getEndIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 endIndex = 7;
getEndIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 endIndex = 7;
getEndIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 endIndex = 7;
getEndIndex() CoreNLPProtos.Mention.Builder
optional uint32 endIndex = 9;
getEndIndex() CoreNLPProtos.Mention
optional uint32 endIndex = 9;
getEndIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 endIndex = 9;
getEndIndex() CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
getEndIndex() CoreNLPProtos.Token
The begin index of, e.g., a span
getEndIndex() CoreNLPProtos.TokenOrBuilder
The begin index of, e.g., a span
getEndIndex(int, List<CoreLabel>, String) XMLToAnnotation
getEndNodes() TransducerGraph
getEndPoint() CoreNLPProtos.Timex.Builder
optional uint32 endPoint = 7;
getEndPoint() CoreNLPProtos.Timex
optional uint32 endPoint = 7;
getEndPoint() CoreNLPProtos.TimexOrBuilder
optional uint32 endPoint = 7;
getEndWordVector() Embedding
getEndWordVector() DVModel
getEnglishSplitCategories(String) ParentAnnotationStats
This is hardwired to calculate the split categories from English
Penn Treebank sections 2-21 with a default cutoff of 300 (as used
in ACL03PCFG).
getEnglishWords() ConstantsAndVariables
getEnhancedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
getEnhancedPlusPlusDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEnhancedPlusPlusDependenciesOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
getEntailedClause(int) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
getEntailedClause(int) CoreNLPProtos.Sentence
The entailed clauses, by natural logic
getEntailedClause(int) CoreNLPProtos.SentenceOrBuilder
The entailed clauses, by natural logic
getEntailedClauseBuilder(int) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
getEntailedClauseBuilderList() CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
getEntailedClauseCount() CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
getEntailedClauseCount() CoreNLPProtos.Sentence
The entailed clauses, by natural logic
getEntailedClauseCount() CoreNLPProtos.SentenceOrBuilder
The entailed clauses, by natural logic
getEntailedClauseList() CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
getEntailedClauseList() CoreNLPProtos.Sentence
The entailed clauses, by natural logic
getEntailedClauseList() CoreNLPProtos.SentenceOrBuilder
The entailed clauses, by natural logic
getEntailedClauseOrBuilder(int) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
getEntailedClauseOrBuilder(int) CoreNLPProtos.Sentence
The entailed clauses, by natural logic
getEntailedClauseOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
The entailed clauses, by natural logic
getEntailedClauseOrBuilderList() CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
getEntailedClauseOrBuilderList() CoreNLPProtos.Sentence
The entailed clauses, by natural logic
getEntailedClauseOrBuilderList() CoreNLPProtos.SentenceOrBuilder
The entailed clauses, by natural logic
getEntailedSentence(int) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
getEntailedSentence(int) CoreNLPProtos.Sentence
The entailed sentences, by natural logic
getEntailedSentence(int) CoreNLPProtos.SentenceOrBuilder
The entailed sentences, by natural logic
getEntailedSentenceBuilder(int) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
getEntailedSentenceBuilderList() CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
getEntailedSentenceCount() CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
getEntailedSentenceCount() CoreNLPProtos.Sentence
The entailed sentences, by natural logic
getEntailedSentenceCount() CoreNLPProtos.SentenceOrBuilder
The entailed sentences, by natural logic
getEntailedSentenceList() CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
getEntailedSentenceList() CoreNLPProtos.Sentence
The entailed sentences, by natural logic
getEntailedSentenceList() CoreNLPProtos.SentenceOrBuilder
The entailed sentences, by natural logic
getEntailedSentenceOrBuilder(int) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
getEntailedSentenceOrBuilder(int) CoreNLPProtos.Sentence
The entailed sentences, by natural logic
getEntailedSentenceOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
The entailed sentences, by natural logic
getEntailedSentenceOrBuilderList() CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
getEntailedSentenceOrBuilderList() CoreNLPProtos.Sentence
The entailed sentences, by natural logic
getEntailedSentenceOrBuilderList() CoreNLPProtos.SentenceOrBuilder
The entailed sentences, by natural logic
getEntity(String) AceDocument
getEntity(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntity(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntity(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityMention(String) AceDocument
getEntityMentionArgs() RelationMention
Fetches the arguments of this relation that are entity mentions
getEntityMentionIndex() CoreNLPProtos.NERMention.Builder
optional uint32 entityMentionIndex = 10;
getEntityMentionIndex() CoreNLPProtos.NERMention
optional uint32 entityMentionIndex = 10;
getEntityMentionIndex() CoreNLPProtos.NERMentionOrBuilder
optional uint32 entityMentionIndex = 10;
getEntityMentionIndex() CoreNLPProtos.Token.Builder
optional uint32 entityMentionIndex = 65;
getEntityMentionIndex() CoreNLPProtos.Token
optional uint32 entityMentionIndex = 65;
getEntityMentionIndex() CoreNLPProtos.TokenOrBuilder
optional uint32 entityMentionIndex = 65;
getEntityMentions(int) AceDocument
getEntityMentions() AceDocument
getEntityMentions(CoreMap) AnnotationUtils
getEntityMentionText() CoreNLPProtos.NERMention.Builder
optional string entityMentionText = 12;
getEntityMentionText() CoreNLPProtos.NERMention
optional string entityMentionText = 12;
getEntityMentionText() CoreNLPProtos.NERMentionOrBuilder
optional string entityMentionText = 12;
getEntityMentionTextBytes() CoreNLPProtos.NERMention.Builder
optional string entityMentionText = 12;
getEntityMentionTextBytes() CoreNLPProtos.NERMention
optional string entityMentionText = 12;
getEntityMentionTextBytes() CoreNLPProtos.NERMentionOrBuilder
optional string entityMentionText = 12;
getEntityMentionToCorefMentionMappings(int) CoreNLPProtos.Document.Builder
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappings(int) CoreNLPProtos.Document
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappings(int) CoreNLPProtos.DocumentOrBuilder
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsCount() CoreNLPProtos.Document.Builder
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsCount() CoreNLPProtos.Document
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsCount() CoreNLPProtos.DocumentOrBuilder
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsList() CoreNLPProtos.Document.Builder
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsList() CoreNLPProtos.Document
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityMentionToCorefMentionMappingsList() CoreNLPProtos.DocumentOrBuilder
repeated uint32 entityMentionToCorefMentionMappings = 18;
getEntityOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
getEntityResultsPrinterSet() MachineReading
getEntityType() CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
getEntityType() CoreNLPProtos.NERMention
optional string entityType = 6;
getEntityType() CoreNLPProtos.NERMentionOrBuilder
optional string entityType = 6;
getEntityTypeBytes() CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
getEntityTypeBytes() CoreNLPProtos.NERMention
optional string entityType = 6;
getEntityTypeBytes() CoreNLPProtos.NERMentionOrBuilder
optional string entityType = 6;
getEntityTypeForTag(String) BasicEntityExtractor
getEntityTypeForTag(String) RothEntityExtractor
getEnv() CoreMapExpressionExtractor
getEpsilon() LogPrior
getError() CmdEvaluator
getEvalbF1() AbstractEval
getEvalbF1Percent() AbstractEval
getEvals() DVModelReranker
getEvals() Reranker
getEvalSummary(String, String, String) CorefScorer
getEvent(String) AceDocument
getEventMention(String) AceDocument
getEventMentions(int) AceDocument
getEventMentions() AceDocument
getEventMentions() AceEntityMention
getEventMentions(CoreMap) AnnotationUtils
getExact() AbstractEval
getExactPercent() AbstractEval
getExamples(List<DocumentExamples>) PairwiseModelTrainer
getExctWsRegex(String) MultiWordStringMatcher
getExistingAnnotator(String) StanfordCoreNLP
getExponentialSchedule(double, double, int) CoolingSchedule
getExpression(String) Expressions.CompositeValue
getExpressionExtractor(Env, Reader) TokenSequenceParser
getExtension(String) IOUtils
getExtent() AceEntityMention
getExtent() AceMention
getExtent() ExtractionObject
getExtentEnd() CoreNLPProtos.Entity.Builder
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.Entity
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.EntityOrBuilder
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.Relation.Builder
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.Relation
optional uint32 extentEnd = 3;
getExtentEnd() CoreNLPProtos.RelationOrBuilder
optional uint32 extentEnd = 3;
getExtentStart() CoreNLPProtos.Entity.Builder
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.Entity
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.EntityOrBuilder
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.Relation.Builder
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.Relation
optional uint32 extentStart = 2;
getExtentStart() CoreNLPProtos.RelationOrBuilder
optional uint32 extentStart = 2;
getExtentString() ExtractionObject
getExtentTokenEnd() ExtractionObject
getExtentTokenStart() ExtractionObject
getExtractorFrames(String) ExtractorFrames
getExtractorFramesRare(String, TTags) ExtractorFramesRare
Get an array of rare word feature Extractor identified by a name.
getExtraEvals() ParserGrammar
Returns a list of extra Eval objects to use when scoring the parser.
getExtraEvals() LexicalizedParser
getExtraEvals() ShiftReduceParser
TODO: add an eval which measures transition accuracy?
getExtras(List<TypedDependency>) EnglishGrammaticalStructure
getExtras(List<TypedDependency>) GrammaticalStructure
Get extra dependencies that do not depend on the tree structure,
but rather only depend on the existing dependency structure.
getExtras(List<TypedDependency>) UniversalEnglishGrammaticalStructure
getF1() EvalUtils.AbstractEvaluator
getF1() EvalUtils.CombinedEvaluator
getF1() EvalUtils.Evaluator
getF1() CorefScorer
getF1Description(int) MultiClassPrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getF1Description(int, L) MultiClassPrecisionRecallStats
getF1Description(int) PrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getFactoredParser() ParserQuery
getFactoredParser() LexicalizedParserQuery
getFactoredParser() RerankingParserQuery
getFactoredParser() ShiftReduceParserQuery
getFactorTables() CRFCliqueTree
getFactory(String) DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that read the contents of the
given Reader, splits on the specified delimiter, then returns the result.
getFactory(String, Function<String, T>) DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that reads the contents of the
given Reader, splits on the specified delimiter, applies op, then returns the result.
getFactory() LineIterator
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
getFactory(Function<String, X>) LineIterator
Returns a factory that vends LineIterators that read the contents of the
given Reader, splitting on newlines.
getFactory(String) XMLBeginEndIterator
Returns a factory that vends BeginEndIterators that reads the contents of
the given Reader, extracts text between the specified Strings, then
returns the result.
getFactory(String, boolean, boolean) XMLBeginEndIterator
getFactory(String, Function<String, E>) XMLBeginEndIterator
getFactory(String, Function<String, E>, boolean, boolean) XMLBeginEndIterator
getFactory() ClassicCounter
Returns a factory that can create new instances of this kind of Counter.
getFactory() Counter
Returns a factory that can create new instances of this kind of Counter.
getFactory() IntCounter
getFamilyAnimateVocative(List<CoreMap>, int, Person.Gender, List<String>) BaselineTopSpeakerSieve
getFCounter(Counter<E>, Counter<E>, double) Counters
getFeature(RelationMention, String) BasicRelationFeatureFactory
getFeature(RelationMention, String) RelationFeatureFactory
getFeatureCount(double, boolean) LinearClassifier
Returns number of features with weight above a certain threshold
(across all labels).
getFeatureCount(Set<L>, double, boolean) LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCount(F) RVFDatum
getFeatureCounter() Dataset
Get Number of datums a given feature appears in.
getFeatureCountLabelIndices(Set<Integer>, double, boolean) LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCounts() GeneralDataset
Get the total count (over all data instances) of each feature
getFeatureCounts() WeightedDataset
getFeatureCountThreshold(Properties, String) HybridCorefProperties
getFeatureFromCoreLabel(CoreLabel, FeatureFactory.FeatureComponent) FeatureFactory
getFeatureGrouping() CRFLogConditionalObjectiveFunction
getFeatureGrouping() CRFNonLinearLogConditionalObjectiveFunction
getFeatureGrouping() HasFeatureGrouping
getFeatureIndex() LogisticClassifier
getFeatures(Example, Map<Integer, CompressedFeatureVector>, Compressor<String>) MetaFeatureExtractor
getFeatures(RelationMention, String) BasicRelationFeatureFactory
getFeatures(RelationMention, String) RelationFeatureFactory
getFeatures(Configuration) DependencyParser
getFeatures() CandidatePhrase
getFeatures() ExtractedPhrase
getFeatures(SemanticGraph, IndexedWord, boolean, Collection<String>, GrammaticalRelation) GetPatternsFromDataMultiClass
getFeatureValue(String) CandidatePhrase
getFile(boolean) NERGUI
getFile() TaggerConfig
getFile() FileTreeNode
getFileInputStream(String) IOUtils
Get a input file stream (automatically gunzip/bunzip2 depending on file extension)
getFilename() FileTreeNode
getFilename() InputPanel.TRegexGUITreeVisitor
getFilename() TreeFromFile
getFilenames() AbstractDataset
getFilenames() Dataset
getFileOutputStream(String) IOUtils
Get a output file stream (automatically gzip/bzip2 depending on file extension)
getFileOutputStream(String, boolean) IOUtils
getFiles(File) JarFileChooser
getFileSentIds(CollectionValuedMap<String, String>) InvertedIndexByTokens
getFileSentIdsFromPats(Collection<E>) InvertedIndexByTokens
getFinalConllScore(String) CorefScorer
getFinalConllScoreFromOutputDir(String, String) CorefScorer
getFindType() SequenceMatcher
getFineGrainedNER() CoreNLPProtos.Token.Builder
The word's fine-grained NER tag
getFineGrainedNER() CoreNLPProtos.Token
The word's fine-grained NER tag
getFineGrainedNER() CoreNLPProtos.TokenOrBuilder
The word's fine-grained NER tag
getFineGrainedNERBytes() CoreNLPProtos.Token.Builder
The word's fine-grained NER tag
getFineGrainedNERBytes() CoreNLPProtos.Token
The word's fine-grained NER tag
getFineGrainedNERBytes() CoreNLPProtos.TokenOrBuilder
The word's fine-grained NER tag
getFirst() BinaryHeapPriorityQueue
Finds the E with the highest priority and returns it, without
modifying the queue.
getFirst() FixedPrioritiesPriorityQueue
Returns the highest-priority element without removing it from the
queue.
getFirst() PriorityQueue
Finds the object with the highest priority and returns it, without
modifying the queue.
getFirstArg() AceRelationMention
Retrieves the argument that appears *first* in the sentence
getFirstKey() TwoDimensionalMap.Entry
getFirstMention() CorefCluster
getFirstMention() CorefCluster
getFirstNonNullAttributeFromList(List<String>) XMLUtils.XMLTag
Given a list of attributes, return the first one that is non-null
getFirstRoot() SemanticGraph
Returns the (first) root of this SemanticGraph.
getFirstSyntacticHeadPosition() RelationMention
Find the left-most position of an argument's syntactic head
getFirstTranslation(String) ChineseEnglishWordMap
getFloatFactorTable(float[][], int[][], List<Index<CRFLabel>>, int) CRFLogConditionalObjectiveFloatFunction
getFMeasure(L) MultiClassPrecisionRecallStats
getFMeasure() MultiClassPrecisionRecallStats
getFMeasure() PrecisionRecallStats
Returns the current F1 measure (alpha=0.5 ).
getFMeasure(double) PrecisionRecallStats
Returns the F-Measure with the given mixing parameter (must be between 0 and 1).
getFN() PrecisionRecallStats
Returns the current count of false negatives.
getFolds() SVMLightClassifierFactory
getFont() Preferences
getFontName() ScrollableTreeJPanel
getFontSize() Preferences
getFontSize() ScrollableTreeJPanel
getFormatter(int) SUTime.CompositePartialTime
getFormatter(int) SUTime.PartialTime
getFP() PrecisionRecallStats
Returns the current count of false positives.
getFullValue() ExtractionObject
Always returns the text corresponding to the extent of this object, even when
getValue is overridden by subclass.
getFunc(int) CRFLogConditionalObjectiveFunctionNoisyLabel
getGender() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
getGender() CoreNLPProtos.CorefChain.CorefMention
optional string gender = 4;
getGender() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string gender = 4;
getGender() CoreNLPProtos.Mention.Builder
optional string gender = 4;
getGender() CoreNLPProtos.Mention
optional string gender = 4;
getGender() CoreNLPProtos.MentionOrBuilder
optional string gender = 4;
getGender() CoreNLPProtos.NERMention.Builder
optional string gender = 9;
getGender() CoreNLPProtos.NERMention
optional string gender = 9;
getGender() CoreNLPProtos.NERMentionOrBuilder
optional string gender = 9;
getGender() CoreNLPProtos.Token.Builder
Fields set by other annotators in CoreNLP
getGender() CoreNLPProtos.Token
Fields set by other annotators in CoreNLP
getGender() CoreNLPProtos.TokenOrBuilder
Fields set by other annotators in CoreNLP
getGender(Sieve.MentionData) BaselineTopSpeakerSieve
getGenderBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.CorefChain.CorefMention
optional string gender = 4;
getGenderBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.Mention.Builder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.Mention
optional string gender = 4;
getGenderBytes() CoreNLPProtos.MentionOrBuilder
optional string gender = 4;
getGenderBytes() CoreNLPProtos.NERMention.Builder
optional string gender = 9;
getGenderBytes() CoreNLPProtos.NERMention
optional string gender = 9;
getGenderBytes() CoreNLPProtos.NERMentionOrBuilder
optional string gender = 9;
getGenderBytes() CoreNLPProtos.Token.Builder
Fields set by other annotators in CoreNLP
getGenderBytes() CoreNLPProtos.Token
Fields set by other annotators in CoreNLP
getGenderBytes() CoreNLPProtos.TokenOrBuilder
Fields set by other annotators in CoreNLP
getGenderNumber(Properties) HybridCorefProperties
getGeneralizeClasses() ConstantsAndVariables
getGeneralWordClassClusters() ConstantsAndVariables
getGeneric() CoreNLPProtos.Mention.Builder
optional bool generic = 25;
getGeneric() CoreNLPProtos.Mention
optional bool generic = 25;
getGeneric() CoreNLPProtos.MentionOrBuilder
optional bool generic = 25;
getGenericity() AceEvent
getGenre() SurfacePattern
getGfCharacter() AbstractTreebankLanguagePack
getGlobal() SynchronizedInterner
For getting the instance that global methods use.
getGlobal() Interner
For getting the instance that global methods use.
getGoldClass(Tree) RNNCoreAnnotations
getGoldCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 goldCorefClusterID = 14;
getGoldCorefClusterID() CoreNLPProtos.Mention
optional int32 goldCorefClusterID = 14;
getGoldCorefClusterID() CoreNLPProtos.MentionOrBuilder
optional int32 goldCorefClusterID = 14;
getGoldLinks() Document
getGoldLinks() Document
getGoogleNgramScore(CandidatePhrase) PhraseScorer
getGovernor() SemanticGraphEdge
getGovernorIndex() UnnamedConcreteDependency
getGradb1() Classifier.Cost
getGradE() Classifier.Cost
getGradW1() Classifier.Cost
getGradW2() Classifier.Cost
getGrammaticalRelation(int, int) GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep.
getGrammaticalRelation(IndexedWord, IndexedWord) GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the
governor of dep.
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) AbstractTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) ChineseTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) EnglishTreebankParserParams
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) TreebankLangParserParams
Build a GrammaticalStructure from a Tree.
getGranularity() SUTime.DurationWithFields
getGranularity() SUTime.StandardTemporalType
getGranularity() SUTime.Temporal
getGranularity() SUTime.Time
getGranularity() SUTime.TimeUnit
getGraph() DataInstanceDep
getGraph() SemgrexMatcher
Returns the graph associated with this match.
getGraph(SequenceModel, Index<String>) ViterbiSearchGraphBuilder
getGraphFromMap(Map<String, TransducerGraph>, String) GrammarCompactor
getHasBasicDependency() CoreNLPProtos.Mention.Builder
optional bool hasBasicDependency = 27;
getHasBasicDependency() CoreNLPProtos.Mention
optional bool hasBasicDependency = 27;
getHasBasicDependency() CoreNLPProtos.MentionOrBuilder
optional bool hasBasicDependency = 27;
getHasContextParseTree() CoreNLPProtos.Mention.Builder
optional bool hasContextParseTree = 29;
getHasContextParseTree() CoreNLPProtos.Mention
optional bool hasContextParseTree = 29;
getHasContextParseTree() CoreNLPProtos.MentionOrBuilder
optional bool hasContextParseTree = 29;
getHasCorefAnnotation() CoreNLPProtos.Document.Builder
optional bool hasCorefAnnotation = 16;
getHasCorefAnnotation() CoreNLPProtos.Document
optional bool hasCorefAnnotation = 16;
getHasCorefAnnotation() CoreNLPProtos.DocumentOrBuilder
optional bool hasCorefAnnotation = 16;
getHasCorefMentionAnnotation() CoreNLPProtos.Document.Builder
optional bool hasCorefMentionAnnotation = 15;
getHasCorefMentionAnnotation() CoreNLPProtos.Document
optional bool hasCorefMentionAnnotation = 15;
getHasCorefMentionAnnotation() CoreNLPProtos.DocumentOrBuilder
optional bool hasCorefMentionAnnotation = 15;
getHasCorefMentionsAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasCorefMentionsAnnotation = 57;
getHasCorefMentionsAnnotation() CoreNLPProtos.Sentence
optional bool hasCorefMentionsAnnotation = 57;
getHasCorefMentionsAnnotation() CoreNLPProtos.SentenceOrBuilder
optional bool hasCorefMentionsAnnotation = 57;
getHasEnhancedDepenedncy() CoreNLPProtos.Mention.Builder
optional bool hasEnhancedDepenedncy = 28;
getHasEnhancedDepenedncy() CoreNLPProtos.Mention
optional bool hasEnhancedDepenedncy = 28;
getHasEnhancedDepenedncy() CoreNLPProtos.MentionOrBuilder
optional bool hasEnhancedDepenedncy = 28;
getHasEntityMentionsAnnotation() CoreNLPProtos.Document.Builder
used to differentiate between null and empty list
getHasEntityMentionsAnnotation() CoreNLPProtos.Document
used to differentiate between null and empty list
getHasEntityMentionsAnnotation() CoreNLPProtos.DocumentOrBuilder
used to differentiate between null and empty list
getHasEntityMentionsAnnotation() CoreNLPProtos.Sentence.Builder
check if there are entity mentions
getHasEntityMentionsAnnotation() CoreNLPProtos.Sentence
check if there are entity mentions
getHasEntityMentionsAnnotation() CoreNLPProtos.SentenceOrBuilder
check if there are entity mentions
getHash() Clusterer.Cluster
getHasKBPTriplesAnnotation() CoreNLPProtos.Sentence.Builder
check if there are KBP triples
getHasKBPTriplesAnnotation() CoreNLPProtos.Sentence
check if there are KBP triples
getHasKBPTriplesAnnotation() CoreNLPProtos.SentenceOrBuilder
check if there are KBP triples
getHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasNumerizedTokensAnnotation = 54;
getHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence
optional bool hasNumerizedTokensAnnotation = 54;
getHasNumerizedTokensAnnotation() CoreNLPProtos.SentenceOrBuilder
optional bool hasNumerizedTokensAnnotation = 54;
getHasOpenieTriplesAnnotation() CoreNLPProtos.Sentence.Builder
check if there are OpenIE triples
getHasOpenieTriplesAnnotation() CoreNLPProtos.Sentence
check if there are OpenIE triples
getHasOpenieTriplesAnnotation() CoreNLPProtos.SentenceOrBuilder
check if there are OpenIE triples
getHasRelationAnnotations() CoreNLPProtos.Sentence.Builder
Fields set by other annotators in CoreNLP
getHasRelationAnnotations() CoreNLPProtos.Sentence
Fields set by other annotators in CoreNLP
getHasRelationAnnotations() CoreNLPProtos.SentenceOrBuilder
Fields set by other annotators in CoreNLP
getHasTwin() CoreNLPProtos.Mention.Builder
optional bool hasTwin = 24;
getHasTwin() CoreNLPProtos.Mention
optional bool hasTwin = 24;
getHasTwin() CoreNLPProtos.MentionOrBuilder
optional bool hasTwin = 24;
getHasXmlContext() CoreNLPProtos.Token.Builder
Used by clean xml annotator
getHasXmlContext() CoreNLPProtos.Token
Used by clean xml annotator
getHasXmlContext() CoreNLPProtos.TokenOrBuilder
Used by clean xml annotator
getHead() AceEntityMention
getHead() EntityMention
getHead(int) Configuration
getHeadEnd() CoreNLPProtos.Entity.Builder
optional uint32 headEnd = 7;
getHeadEnd() CoreNLPProtos.Entity
optional uint32 headEnd = 7;
getHeadEnd() CoreNLPProtos.EntityOrBuilder
optional uint32 headEnd = 7;
getHeadFinder(Properties) CorefProperties
getHeadFinder() Preferences
getHeadFinder() TregexMatcher
getHeadIndex(Tree, HeadFinder) DocumentPreprocessor
getHeadIndex(Tree) MentionExtractor
getHeadIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 headIndex = 9;
getHeadIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 headIndex = 9;
getHeadIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 headIndex = 9;
getHeadIndex() CoreNLPProtos.Mention.Builder
optional uint32 headIndex = 10;
getHeadIndex() CoreNLPProtos.Mention
optional uint32 headIndex = 10;
getHeadIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 headIndex = 10;
getHeadIndexedWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWord() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWord() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadIndexedWordOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
getHeadStart() CoreNLPProtos.Entity.Builder
optional uint32 headStart = 6;
getHeadStart() CoreNLPProtos.Entity
optional uint32 headStart = 6;
getHeadStart() CoreNLPProtos.EntityOrBuilder
optional uint32 headStart = 6;
getHeadString() CoreNLPProtos.Mention.Builder
optional string headString = 11;
getHeadString() CoreNLPProtos.Mention
optional string headString = 11;
getHeadString() CoreNLPProtos.MentionOrBuilder
optional string headString = 11;
getHeadStringBytes() CoreNLPProtos.Mention.Builder
optional string headString = 11;
getHeadStringBytes() CoreNLPProtos.Mention
optional string headString = 11;
getHeadStringBytes() CoreNLPProtos.MentionOrBuilder
optional string headString = 11;
getHeadTokenEnd() EntityMention
getHeadTokenIndex() CoreNLPProtos.Entity.Builder
optional uint32 headTokenIndex = 10;
getHeadTokenIndex() CoreNLPProtos.Entity
optional uint32 headTokenIndex = 10;
getHeadTokenIndex() CoreNLPProtos.EntityOrBuilder
optional uint32 headTokenIndex = 10;
getHeadTokenPosition() AceEntityMention
getHeadTokenStart() EntityMention
getHeadWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWord() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWord() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordIndex() CoreNLPProtos.Token.Builder
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
getHeadWordIndex() CoreNLPProtos.Token
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
getHeadWordIndex() CoreNLPProtos.TokenOrBuilder
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
getHeadWordOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeadWordOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
getHeldOutPercent() SVMLightClassifierFactory
getHighestScoringTree(Tree, double) DVParserCostAndGradient
getHighlightColor() Preferences
getHistories(String[], History) TestSentence
getHistory() DataWordTag
getHistoryList() InputPanel
getHistorySize() Preferences
getHistoryString() InputPanel
getID() DFSATransition
getId() AceElement
getIfDefined() Lazy
Get the value of this
Lazy if it's been initialized, or else
return null.
getIgnoreWordswithClassesDuringSelection() ConstantsAndVariables
getIncludeText() StanfordCoreNLP
getIncomingEdges(V) DirectedMultiGraph
getIncomingEdges(V) Graph
for undirected graph, it is just the edges from the node
getIncomingEdgesSorted(IndexedWord) SemanticGraph
getInDegree(V) DirectedMultiGraph
getInDegree(V) Graph
for undirected graph, it should just be the degree
getIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 index = 2;
getIndex() CoreNLPProtos.DependencyGraph.Node
required uint32 index = 2;
getIndex() CoreNLPProtos.DependencyGraph.NodeOrBuilder
required uint32 index = 2;
getIndex() CoreNLPProtos.Quote.Builder
optional uint32 index = 10;
getIndex() CoreNLPProtos.Quote
optional uint32 index = 10;
getIndex() CoreNLPProtos.QuoteOrBuilder
optional uint32 index = 10;
getIndex(List<T>, T) CollectionUtils
Returns the index of the first occurrence in the list of the specified
object, using object identity (==) not equality as the criterion for object
presence.
getIndex(List<T>, T, int) CollectionUtils
Returns the index of the first occurrence after the startIndex (exclusive)
in the list of the specified object, using object equals function.
getIndexAndCount(String) StringDictionary
getIndexOfChild(Object, Object) FileTreeModel
getIndices() ExtractedPhrase
getInDict(String) AffixDictionary
getInexactDuration(ReadablePeriod) SUTime.Duration
getInexactDuration(org.joda.time.Duration) SUTime.Duration
getInformationGains() Dataset
getInnerMapFactory() TwoDimensionalCounter
getInnerMapFactory() TwoDimensionalIntCounter
getInput() DFSATransition
getInput() TransducerGraph.Arc
getInputEncoding() AbstractTreebankParserParams
Returns the input encoding being used.
getInputEncoding() TreebankLangParserParams
Returns the input encoding being used.
getInputPath(Properties) CorefProperties
getInputs() TransducerGraph
getInputStream() ByteStreamGobbler
getInputStreamFromURLOrClasspathOrFileSystem(String) IOUtils
Locates this file either using the given URL, or in the CLASSPATH, or in the file system
The CLASSPATH takes priority over the file system!
This stream is buffered and gunzipped (if necessary).
getInsertNPinPP() NegraPennTreeNormalizer
getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) PriorModelFactory
getInstance() SpanishVerbStripper
Singleton pattern function for getting a default verb stripper.
getInstance(String) SpanishVerbStripper
Singleton pattern function for getting a verb stripper based on
the dictionary at dictPath.
getInstance() ChineseEnglishWordMap
A method for getting a singleton instance of this class.
getInstance() DisplayMatchesPanel
getInstance() FilePanel
getInstance() InputPanel
getInstance() MatchesPanel
Returns the singleton instance of the MatchesPanel
getInstance() TregexGUI
getInstant(Partial) JodaTimeUtils
getInstant(Partial, ZoneId) JodaTimeUtils
getInt(Properties, String) PropertiesUtils
Load an integer property.
getInt(Properties, String, int) PropertiesUtils
Load an integer property.
getIntArray(Properties, String) PropertiesUtils
Loads a comma-separated list of integers from Properties.
getIntCount(Object) IntCounter
Returns the current count for the given key, which is 0 if it hasn't
been
seen before.
getInterval() BasicSequenceMatchResult
getInterval() Match
getInterval() PhraseTable.PhraseMatch
getInterval() SUTime.Range
getInterval() SUTime.Time
getInterval() HasInterval
Returns the interval
getInterval() Interval
Returns this interval.
getInterval() ValuedInterval
getIntTuple(int) IntTuple
getIntTuple(List<Integer>) IntTuple
getInverseArcs(Object, Object) FastExactAutomatonMinimizer
getInverseArcs(Object) FastExactAutomatonMinimizer
getInverseImages(FastExactAutomatonMinimizer.Split) FastExactAutomatonMinimizer
getIsDirectObject() CoreNLPProtos.Mention.Builder
optional bool isDirectObject = 21;
getIsDirectObject() CoreNLPProtos.Mention
optional bool isDirectObject = 21;
getIsDirectObject() CoreNLPProtos.MentionOrBuilder
optional bool isDirectObject = 21;
getIsExtra() CoreNLPProtos.DependencyGraph.Edge.Builder
optional bool isExtra = 4;
getIsExtra() CoreNLPProtos.DependencyGraph.Edge
optional bool isExtra = 4;
getIsExtra() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional bool isExtra = 4;
getIsIndirectObject() CoreNLPProtos.Mention.Builder
optional bool isIndirectObject = 22;
getIsIndirectObject() CoreNLPProtos.Mention
optional bool isIndirectObject = 22;
getIsIndirectObject() CoreNLPProtos.MentionOrBuilder
optional bool isIndirectObject = 22;
getIsNewline() CoreNLPProtos.Token.Builder
optional bool isNewline = 38;
getIsNewline() CoreNLPProtos.Token
optional bool isNewline = 38;
getIsNewline() CoreNLPProtos.TokenOrBuilder
optional bool isNewline = 38;
getIsPrepositionObject() CoreNLPProtos.Mention.Builder
optional bool isPrepositionObject = 23;
getIsPrepositionObject() CoreNLPProtos.Mention
optional bool isPrepositionObject = 23;
getIsPrepositionObject() CoreNLPProtos.MentionOrBuilder
optional bool isPrepositionObject = 23;
getIsSingleton() CoreNLPProtos.Mention.Builder
optional bool isSingleton = 26;
getIsSingleton() CoreNLPProtos.Mention
optional bool isSingleton = 26;
getIsSingleton() CoreNLPProtos.MentionOrBuilder
optional bool isSingleton = 26;
getIsSubject() CoreNLPProtos.Mention.Builder
optional bool isSubject = 20;
getIsSubject() CoreNLPProtos.Mention
optional bool isSubject = 20;
getIsSubject() CoreNLPProtos.MentionOrBuilder
optional bool isSubject = 20;
getIstmod() CoreNLPProtos.RelationTriple.Builder
If true, this expresses an implicit tmod relation
getIstmod() CoreNLPProtos.RelationTriple
If true, this expresses an implicit tmod relation
getIstmod() CoreNLPProtos.RelationTripleOrBuilder
If true, this expresses an implicit tmod relation
getIterations() TaggerConfig
getIterator(Reader) ArabicDocumentReaderAndWriter
Iterate over an input document.
getIterator(Reader) ArabicTokenizer.ArabicTokenizerFactory
getIterator(Reader) FrenchTokenizer.FrenchTokenizerFactory
getIterator(Reader) SpanishTokenizer.SpanishTokenizerFactory
getIterator(Reader) DelimitRegExIterator.DelimitRegExIteratorFactory
getIterator(Reader) IteratorFromReaderFactory
Return an iterator over the contents read from r.
getIterator(Reader) LineIterator.LineIteratorFactory
getIterator(Reader) PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getIterator(Reader) WhitespaceTokenizer.WhitespaceTokenizerFactory
getIterator(Reader) ColumnDocumentReaderAndWriter
getIterator(Reader) ColumnTabDocumentReaderWriter
getIterator(Reader) CoNLLDocumentReaderAndWriter
getIterator(Reader) PlainTextDocumentReaderAndWriter
getIterator(Reader) TrueCasingForNISTDocumentReaderAndWriter
getIterator(Reader) TreeTokenizerFactory
Same as getTokenizer().
getIterator(Reader) CoNLLUDocumentReader
getIterator(Reader) Sighan2005DocumentReaderAndWriter
getJNLPLocalScratch() IOUtils
A JavaNLP specific convenience routine for obtaining the current
scratch directory for the machine you're currently running on.
getJodaTimeDuration() SUTime.Duration
getJodaTimeDuration() SUTime.DurationRange
getJodaTimeDuration() SUTime.DurationWithFields
getJodaTimeDuration() SUTime.DurationWithMillis
getJodaTimeInstant() SUTime.CompositePartialTime
getJodaTimeInstant() SUTime.GroundedTime
getJodaTimeInstant() SUTime.InexactTime
getJodaTimeInstant() SUTime.PartialTime
getJodaTimeInstant() SUTime.Time
getJodaTimeInterval() SUTime.Range
getJodaTimePartial() SUTime.GroundedTime
getJodaTimePartial() SUTime.InexactTime
getJodaTimePartial() SUTime.PartialTime
getJodaTimePartial() SUTime.Time
getJodaTimePeriod(Partial) JodaTimeUtils
getJodaTimePeriod() SUTime.Duration
getJodaTimePeriod() SUTime.DurationRange
getJodaTimePeriod() SUTime.DurationWithFields
getJodaTimePeriod() SUTime.DurationWithMillis
getJustification() Alignment
getJustText(Node) XMLToAnnotation
getKBestParses(List<? extends HasWord>, int) CharniakParser
getKBestParses(List<? extends HasWord>, int, boolean) CharniakParser
getKBestParses(Iterable<List<? extends HasWord>>, int) CharniakParser
getKBestParses(Iterable<List<? extends HasWord>>, int, boolean) CharniakParser
getKBestParses(int) ParserQuery
getKBestParses(int) KBestViterbiParser
Get the exact k best parses for the sentence.
getKBestParses(int) BiLexPCFGParser
Get the exact k best parses for the sentence.
getKBestParses(int) ExhaustiveDependencyParser
Get the exact k best parses for the sentence.
getKBestParses(int) ExhaustivePCFGParser
Get the exact k best parses for the sentence.
getKBestParses(int) FastFactoredParser
Get the exact k best parses for the sentence.
getKBestParses(int) LexicalizedParserQuery
Return the k best parses of the sentence most recently parsed.
getKBestParses(int) RerankingParserQuery
getKBestParses(int) ShiftReduceParserQuery
getKBestParseTrees(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTrees(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTrees(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestParseTreesOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
getKBestPCFGParses(int) ParserQuery
getKBestPCFGParses(int) LexicalizedParserQuery
Returns the trees (and scores) corresponding to the
k-best derivations of the sentence.
getKBestPCFGParses(int) RerankingParserQuery
getKBestPCFGParses(int) ShiftReduceParserQuery
TODO: return more if this used a beam
getKbpTriple(int) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
getKbpTriple(int) CoreNLPProtos.Sentence
The KBP triples in this sentence
getKbpTriple(int) CoreNLPProtos.SentenceOrBuilder
The KBP triples in this sentence
getKbpTripleBuilder(int) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
getKbpTripleBuilderList() CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
getKbpTripleCount() CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
getKbpTripleCount() CoreNLPProtos.Sentence
The KBP triples in this sentence
getKbpTripleCount() CoreNLPProtos.SentenceOrBuilder
The KBP triples in this sentence
getKbpTripleList() CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
getKbpTripleList() CoreNLPProtos.Sentence
The KBP triples in this sentence
getKbpTripleList() CoreNLPProtos.SentenceOrBuilder
The KBP triples in this sentence
getKbpTripleOrBuilder(int) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
getKbpTripleOrBuilder(int) CoreNLPProtos.Sentence
The KBP triples in this sentence
getKbpTripleOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
The KBP triples in this sentence
getKbpTripleOrBuilderList() CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
getKbpTripleOrBuilderList() CoreNLPProtos.Sentence
The KBP triples in this sentence
getKbpTripleOrBuilderList() CoreNLPProtos.SentenceOrBuilder
The KBP triples in this sentence
getKeepOriginalText() DocumentReader
Returns whether created documents will store their source text along with tokenized words.
getKey(int) CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
getKey(int) CoreNLPProtos.MapIntString
repeated uint32 key = 1;
getKey(int) CoreNLPProtos.MapIntStringOrBuilder
repeated uint32 key = 1;
getKey(int) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKey(int) CoreNLPProtos.MapStringString
repeated string key = 1;
getKey(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeyBytes(int) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKeyBytes(int) CoreNLPProtos.MapStringString
repeated string key = 1;
getKeyBytes(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeyCount() CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
getKeyCount() CoreNLPProtos.MapIntString
repeated uint32 key = 1;
getKeyCount() CoreNLPProtos.MapIntStringOrBuilder
repeated uint32 key = 1;
getKeyCount() CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKeyCount() CoreNLPProtos.MapStringString
repeated string key = 1;
getKeyCount() CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeyForClass(Class) Token
getKeyList() CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
getKeyList() CoreNLPProtos.MapIntString
repeated uint32 key = 1;
getKeyList() CoreNLPProtos.MapIntStringOrBuilder
repeated uint32 key = 1;
getKeyList() CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
getKeyList() CoreNLPProtos.MapStringString
repeated string key = 1;
getKeyList() CoreNLPProtos.MapStringStringOrBuilder
repeated string key = 1;
getKeySetEntities() AceDocument
getKGoodFactoredParses(int) ParserQuery
getKGoodFactoredParses(int) LexicalizedParserQuery
getKGoodFactoredParses(int) RerankingParserQuery
getKGoodFactoredParses(int) ShiftReduceParserQuery
getKGoodParses(int) KBestViterbiParser
Get k good parses for the sentence.
getKGoodParses(int) BiLexPCFGParser
Return the list of k "good" parses of the sentence most recently parsed.
getKGoodParses(int) ExhaustiveDependencyParser
Get k good parses for the sentence.
getKGoodParses(int) ExhaustivePCFGParser
Get k good parses for the sentence.
getKGoodParses(int) FastFactoredParser
Return the list of N "good" parses of the sentence most recently parsed.
getKnownLCWords() AbstractSequenceClassifier
getKSampledParses(int) KBestViterbiParser
Get k parse samples for the sentence.
getKSampledParses(int) BiLexPCFGParser
Get k parse samples for the sentence.
getKSampledParses(int) ExhaustiveDependencyParser
Get k parse samples for the sentence.
getKSampledParses(int) ExhaustivePCFGParser
Get k parse samples for the sentence.
getKSampledParses(int) FastFactoredParser
Get k parse samples for the sentence.
getL1NormalizedTFIDFDataset() Dataset
Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
getL1NormalizedTFIDFDatum(Datum<L, F>, Counter<F>) Dataset
Method to convert features from counts to L1-normalized TFIDF based features
getLabel() CRFLabel
getLabel(int) Configuration
getLabel() TreeFromFile
getLabeledMentionPairs(Document) CorefUtils
getLabeledToDescriptiveCoreLabelTreeFunction() TreeFunctions
Returns a function which takes a tree with any label class
where the labels might have an interesting description, such
as a CategoryWordTag which goes "cat [T/W]", and returns a new
tree with CoreLabels which contain the toString() of each of
the input labels.
getLabeledTreeToCategoryWordTagTreeFunction() TreeFunctions
Return a Function that maps from StringLabel labeled trees to
LabeledScoredTrees with a CategoryWordTag label.
getLabeledTreeToStringLabeledTreeFunction() TreeFunctions
Return an Function that maps from Label-labeled trees (any
implementing class) to LabeledScored trees with a StringLabel
label.
getLabelForInternalNegativeClass() LogisticClassifier
getLabelForInternalPositiveClass() LogisticClassifier
getLabelID(String) DependencyParser
getLabelIndices(Set<L>) LinearClassifier
Returns indices of labels
getLabels() CRFLogConditionalObjectiveFunction
getLabels() ConstantsAndVariables
getLabels() MultiClassPrecisionRecallExtendedStats
getLabelsArray() GeneralDataset
getLang() TaggerConfig
getLanguage(Properties) CorefProperties
getLanguage(Properties) HybridCorefProperties
getLanguage(String) Config
Get the
Language
object corresponding to the given language string.
getLanguage() CoreNLPProtos.DependencyGraph.Edge.Builder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() CoreNLPProtos.DependencyGraph.Edge
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
getLanguage() GrammaticalRelation
Get the language of the grammatical relation.
getLanguageFromString(String) LanguageInfo
convert various input strings to language enum
getLanguagePropertiesFile(String) LanguageInfo
return the properties file name for a specific language
getLastArg() AceRelationMention
Retrieves the argument that appears *last* in the sentence
getLastF1() AbstractEval
getLastSyntacticHeadPosition() RelationMention
Find the right-most position of an argument's syntactic head
getLatticeWords() HTKLatticeReader
getLBScore() EvaluateTreebank
getLdctype() AceEntityMention
getLeaf(Tree, int) Trees
Gets the i th leaf of a tree from the left.
getLeafVertices() SemanticGraph
getLearnClosedClassTags() TaggerConfig
getLearnedPatterns(String) GetPatternsFromDataMultiClass
getLearnedPatterns() GetPatternsFromDataMultiClass
getLearnedPatternsEachIter() GetPatternsFromDataMultiClass
getLearnedPatternsEachIter(String) GetPatternsFromDataMultiClass
getLearnedWords(String) ConstantsAndVariables
getLearnedWordsAsJson() ConstantsAndVariables
getLearnedWordsAsJsonLastIteration() ConstantsAndVariables
getLearnedWordsEachIter(String) ConstantsAndVariables
getLearnedWordsEachIter() ConstantsAndVariables
getLearningRate(String) SimpleLinearClassifier.LearningRateSchedule
getLeaves() Tree
Gets the leaves of the tree.
getLeaves(List<T>) Tree
Gets the leaves of the tree.
getLeftChild(int, int) Configuration
getLeftChild(int) Configuration
getLeftLabelSet(int) Configuration
getLeftmostNode(IntervalTree.TreeNode<E, T>) IntervalTree
getLeftValency(int) Configuration
getLemma() AceToken
getLemma() CoreNLPProtos.Token.Builder
The word's lemma
getLemma() CoreNLPProtos.Token
The word's lemma
getLemma() CoreNLPProtos.TokenOrBuilder
The word's lemma
getLemmaBytes() CoreNLPProtos.Token.Builder
The word's lemma
getLemmaBytes() CoreNLPProtos.Token
The word's lemma
getLemmaBytes() CoreNLPProtos.TokenOrBuilder
The word's lemma
getLemmas(String) LexicalizedParserClient
Get the lemmas for the text according to the parser's lemmatizer
(only applies to English), return it as whitespace tokenized text.
getLexicalCondition() AceRelationMention
getLexicon() BaseUnknownWordModel
Get the lexicon associated with this unknown word model; usually not used, but
might be useful to tell you if a related word is known or unknown, for example.
getLexicon() LexicalizedParser
getLexicon() UnknownWordModel
Returns the lexicon used by this unknown word model.
getLinearSchedule(double, int) CoolingSchedule
getLineIterable(Reader, boolean) IOUtils
Given a reader, returns the lines from the reader as an Iterable.
getLineIterable(Reader, int, boolean) IOUtils
getLineIterator(String) ObjectBank
getLineIterator(String, Function<String, X>) ObjectBank
getLineIterator(String, String) ObjectBank
getLineIterator(Reader) ObjectBank
getLineIterator(Reader, Function<String, X>) ObjectBank
getLineIterator(File) ObjectBank
getLineIterator(File, Function<String, X>) ObjectBank
getLineIterator(File, String) ObjectBank
getLineIterator(File, Function<String, X>, String) ObjectBank
getLineIterator(Collection<?>, Function<String, X>) ObjectBank
getLineIterator(Collection<?>, String) ObjectBank
getLineIterator(Collection<?>, Function<String, X>, String) ObjectBank
getLineNumber() CoreNLPProtos.Sentence.Builder
optional uint32 lineNumber = 20;
getLineNumber() CoreNLPProtos.Sentence
optional uint32 lineNumber = 20;
getLineNumber() CoreNLPProtos.SentenceOrBuilder
optional uint32 lineNumber = 20;
getLinks(Map<Integer, CorefChain>) SieveCoreferenceSystem
getLinks(Map<Integer, CorefChain>) CorefAnnotator
getListComparator() CollectionUtils
getListComparator() Comparators
getListMembers(int) CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
getListMembers(int) CoreNLPProtos.Mention
repeated int32 listMembers = 57;
getListMembers(int) CoreNLPProtos.MentionOrBuilder
repeated int32 listMembers = 57;
getListMembersCount() CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
getListMembersCount() CoreNLPProtos.Mention
repeated int32 listMembers = 57;
getListMembersCount() CoreNLPProtos.MentionOrBuilder
repeated int32 listMembers = 57;
getListMembersList() CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
getListMembersList() CoreNLPProtos.Mention
repeated int32 listMembers = 57;
getListMembersList() CoreNLPProtos.MentionOrBuilder
repeated int32 listMembers = 57;
getLiteral() AceToken
getLnrmRegex(String) MultiWordStringMatcher
getLoc() FactoredLexiconEvent
getLoggerLevel() GenericDataSetReader
getLong(Properties, String, long) PropertiesUtils
Load an integer property as a long.
getLongestPhrase(List<PhraseTable.Phrase>) PhraseTable
getLongName() GrammaticalRelation
getLowestCommonAncestor(List<Tree>, Tree) Trees
Get lowest common ancestor of all the nodes in the list with the tree rooted at root
getLowestCommonAncestor(Tree, Tree, Tree) Trees
returns the node of a tree which represents the lowest common
ancestor of nodes t1 and t2 dominated by root.
getLWsRegex(String) MultiWordStringMatcher
getMainStrs(List<String>) AcronymMatcher
getMangledTree() CollocationFinder
Returns the "collocations included" parse tree.
getMap(String) ChineseSimWordAvgDepGrammar
getMap() Alignment
getMap(K1) TwoDimensionalMap
getMapFactory() IntCounter
getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) CollectionUtils
getMapping(String) Distsim
Returns the cluster for the given word as a string.
getMargin(Tree, Tree) DVParserCostAndGradient
getMarkLineBreaks() StripTagsProcessor
Returns whether the output of the processor will contain newline words
("\n") at the end of block-level tags.
getMassiBbn() AceToken
getMassiClass() AceToken
getMassiWnss() AceToken
getMatch() SemgrexMatcher
Get the last matching node -- that is, the node that matches the root node
of the pattern.
getMatch() TregexMatcher
Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
getMatched() Match
getMatchedColor() Preferences
getMatchedColor() ScrollableTreeJPanel
getMatchedLength() Match
getMatchedPartCoordinates() ScrollableTreeJPanel
getMatchedParts() InputPanel.TRegexGUITreeVisitor
getMatchedParts() MatchesPanel
getMatchedParts() ScrollableTreeJPanel
getMatchedSentences() MatchesPanel
Returns all currently displayed sentences in plain text form.
getMatcher(List<? extends T>) SequencePattern
getMatcher(List<? extends CoreMap>) TokenSequencePattern
Returns a TokenSequenceMatcher that can be used to match this pattern
against the specified list of tokens.
getMatches() InputPanel.TRegexGUITreeVisitor
getMatches() MatchesPanel
Returns all currently displayed matches in string buffer, penn treebank form
(suitable for writing out, for instance)
getMatchPortionOnly() Preferences
getMatchType() MultiWordStringMatcher
getMaxAvailableMemory() MemoryMonitor
getMaxAvailableMemory(boolean) MemoryMonitor
getMaxMatches() Preferences
getMaxMemory() MemoryMonitor
getMaxNodes() MultiNodePattern
getMaxSentDistForSieve(Properties, String) HybridCorefProperties
getMaxSentenceLength() CharniakParser
getMaxSize() MaxSizeConcurrentHashSet
getMaxTokenEnd() AceEventMention
Returns the largest start of all argument heads (or the beginning of the
mention's extent if there are no arguments)
getMaxTokenEnd() AceRelationMention
Returns the largest end of the two args heads
getMembers() Block
getMemoryInUse() SystemUtils
Returns the number of megabytes (MB) of memory in use.
getMention(Integer, String, List<CoreLabel>) CoNLLDocumentReader
getMention(Integer, String, List<CoreLabel>) CoNLL2011DocumentReader
getMention() AceEntityMention
getMention(int) AceEvent
getMention(int) AceRelation
getMention(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention(int) CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention(int) CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMention() CoreNLPProtos.Quote.Builder
optional string mention = 12;
getMention() CoreNLPProtos.Quote
optional string mention = 12;
getMention() CoreNLPProtos.QuoteOrBuilder
optional string mention = 12;
getMentionBegin() CoreNLPProtos.Quote.Builder
optional uint32 mentionBegin = 13;
getMentionBegin() CoreNLPProtos.Quote
optional uint32 mentionBegin = 13;
getMentionBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 mentionBegin = 13;
getMentionBuilder(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionBuilderList() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionBytes() CoreNLPProtos.Quote.Builder
optional string mention = 12;
getMentionBytes() CoreNLPProtos.Quote
optional string mention = 12;
getMentionBytes() CoreNLPProtos.QuoteOrBuilder
optional string mention = 12;
getMentionCount() AceEvent
getMentionCount() AceRelation
getMentionCount() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionCount() CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionCount() CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionData(CoreMap) QMSieve
getMentionDetectionModel(Properties) CorefProperties
getMentionEmbeddings(Mention, SimpleMatrix) EmbeddingExtractor
getMentionEnd() CoreNLPProtos.Quote.Builder
optional uint32 mentionEnd = 14;
getMentionEnd() CoreNLPProtos.Quote
optional uint32 mentionEnd = 14;
getMentionEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 mentionEnd = 14;
getMentionID() CoreNLPProtos.CorefChain.CorefMention.Builder
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.CorefChain.CorefMention
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.Mention.Builder
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.Mention
optional int32 mentionID = 1;
getMentionID() CoreNLPProtos.MentionOrBuilder
optional int32 mentionID = 1;
getMentionList() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionList() CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionList() CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionMap() CorefChain
getMentionMap() CorefChain
getMentionNum() CoreNLPProtos.Mention.Builder
optional uint32 mentionNum = 16;
getMentionNum() CoreNLPProtos.Mention
optional uint32 mentionNum = 16;
getMentionNum() CoreNLPProtos.MentionOrBuilder
optional uint32 mentionNum = 16;
getMentionOrBuilder(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilder(int) CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilder(int) CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() CoreNLPProtos.CorefChain
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionOrBuilderList() CoreNLPProtos.CorefChainOrBuilder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
getMentionPairs(Document) CorefUtils
getMentions() SpeakerInfo
getMentions() SpeakerInfo
getMentions() AceEntity
getMentions(int) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
getMentions(int) CoreNLPProtos.Document
This field is for entity mentions across the document.
getMentions(int) CoreNLPProtos.DocumentOrBuilder
This field is for entity mentions across the document.
getMentions(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentions(int) CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
getMentions(int) CoreNLPProtos.SpeakerInfo
repeated int32 mentions = 2;
getMentions(int) CoreNLPProtos.SpeakerInfoOrBuilder
repeated int32 mentions = 2;
getMentionsBuilder(int) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
getMentionsBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsBuilderList() CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
getMentionsBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
getMentionsCount() CoreNLPProtos.Document
This field is for entity mentions across the document.
getMentionsCount() CoreNLPProtos.DocumentOrBuilder
This field is for entity mentions across the document.
getMentionsCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsCount() CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
getMentionsCount() CoreNLPProtos.SpeakerInfo
repeated int32 mentions = 2;
getMentionsCount() CoreNLPProtos.SpeakerInfoOrBuilder
repeated int32 mentions = 2;
getMentionsForCoref(int) CoreNLPProtos.Document.Builder
coref mentions for entire document *
getMentionsForCoref(int) CoreNLPProtos.Document
coref mentions for entire document *
getMentionsForCoref(int) CoreNLPProtos.DocumentOrBuilder
coref mentions for entire document *
getMentionsForCoref(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCoref(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCoref(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefBuilder(int) CoreNLPProtos.Document.Builder
coref mentions for entire document *
getMentionsForCorefBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefBuilderList() CoreNLPProtos.Document.Builder
coref mentions for entire document *
getMentionsForCorefBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() CoreNLPProtos.Document.Builder
coref mentions for entire document *
getMentionsForCorefCount() CoreNLPProtos.Document
coref mentions for entire document *
getMentionsForCorefCount() CoreNLPProtos.DocumentOrBuilder
coref mentions for entire document *
getMentionsForCorefCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() CoreNLPProtos.Document.Builder
coref mentions for entire document *
getMentionsForCorefList() CoreNLPProtos.Document
coref mentions for entire document *
getMentionsForCorefList() CoreNLPProtos.DocumentOrBuilder
coref mentions for entire document *
getMentionsForCorefList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) CoreNLPProtos.Document.Builder
coref mentions for entire document *
getMentionsForCorefOrBuilder(int) CoreNLPProtos.Document
coref mentions for entire document *
getMentionsForCorefOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
coref mentions for entire document *
getMentionsForCorefOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() CoreNLPProtos.Document.Builder
coref mentions for entire document *
getMentionsForCorefOrBuilderList() CoreNLPProtos.Document
coref mentions for entire document *
getMentionsForCorefOrBuilderList() CoreNLPProtos.DocumentOrBuilder
coref mentions for entire document *
getMentionsForCorefOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionsForCorefOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
getMentionSieve() CoreNLPProtos.Quote.Builder
optional string mentionSieve = 16;
getMentionSieve() CoreNLPProtos.Quote
optional string mentionSieve = 16;
getMentionSieve() CoreNLPProtos.QuoteOrBuilder
optional string mentionSieve = 16;
getMentionSieveBytes() CoreNLPProtos.Quote.Builder
optional string mentionSieve = 16;
getMentionSieveBytes() CoreNLPProtos.Quote
optional string mentionSieve = 16;
getMentionSieveBytes() CoreNLPProtos.QuoteOrBuilder
optional string mentionSieve = 16;
getMentionsInTextualOrder() CorefChain
get List of CorefMentions
getMentionsInTextualOrder() CorefChain
get List of CorefMentions
getMentionsList() CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
getMentionsList() CoreNLPProtos.Document
This field is for entity mentions across the document.
getMentionsList() CoreNLPProtos.DocumentOrBuilder
This field is for entity mentions across the document.
getMentionsList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsList() CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
getMentionsList() CoreNLPProtos.SpeakerInfo
repeated int32 mentions = 2;
getMentionsList() CoreNLPProtos.SpeakerInfoOrBuilder
repeated int32 mentions = 2;
getMentionsOrBuilder(int) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
getMentionsOrBuilder(int) CoreNLPProtos.Document
This field is for entity mentions across the document.
getMentionsOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
This field is for entity mentions across the document.
getMentionsOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
getMentionsOrBuilderList() CoreNLPProtos.Document
This field is for entity mentions across the document.
getMentionsOrBuilderList() CoreNLPProtos.DocumentOrBuilder
This field is for entity mentions across the document.
getMentionsOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
getMentionsWithSameHead(IntPair) CorefChain
get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
getMentionsWithSameHead(int, int) CorefChain
get CorefMention by position
getMentionsWithSameHead(IntPair) CorefChain
get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
getMentionsWithSameHead(int, int) CorefChain
get CorefMention by position
getMentionType(Properties, String) HybridCorefProperties
getMentionType() EntityMention
getMentionType() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
getMentionType() CoreNLPProtos.CorefChain.CorefMention
optional string mentionType = 2;
getMentionType() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string mentionType = 2;
getMentionType() CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
getMentionType() CoreNLPProtos.Entity
optional string mentionType = 8;
getMentionType() CoreNLPProtos.EntityOrBuilder
optional string mentionType = 8;
getMentionType() CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
getMentionType() CoreNLPProtos.Mention
optional string mentionType = 2;
getMentionType() CoreNLPProtos.MentionOrBuilder
optional string mentionType = 2;
getMentionType() CoreNLPProtos.Quote.Builder
optional string mentionType = 15;
getMentionType() CoreNLPProtos.Quote
optional string mentionType = 15;
getMentionType() CoreNLPProtos.QuoteOrBuilder
optional string mentionType = 15;
getMentionTypeBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.CorefChain.CorefMention
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
getMentionTypeBytes() CoreNLPProtos.Entity
optional string mentionType = 8;
getMentionTypeBytes() CoreNLPProtos.EntityOrBuilder
optional string mentionType = 8;
getMentionTypeBytes() CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.Mention
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.MentionOrBuilder
optional string mentionType = 2;
getMentionTypeBytes() CoreNLPProtos.Quote.Builder
optional string mentionType = 15;
getMentionTypeBytes() CoreNLPProtos.Quote
optional string mentionType = 15;
getMentionTypeBytes() CoreNLPProtos.QuoteOrBuilder
optional string mentionType = 15;
getMentionTypeStr(Properties, String) HybridCorefProperties
getMergedChunk(List<? extends CoreMap>, String, int, int, CoreLabelTokenFactory) ChunkAnnotationUtils
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive).
getMergedChunk(List<? extends CoreMap>, int, int, Map<Class, CoreMapAttributeAggregator>, CoreLabelTokenFactory) ChunkAnnotationUtils
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
getMergedList() CoreMapSequenceMatcher
getMergedList(int...) CoreMapSequenceMatcher
getMergeThreshold(Properties, String) HybridCorefProperties
getMiddle() IntQuadruple
getMiddle() IntTriple
getMidPoint(Interval<Integer>) Interval
getMinFeatureThresh() TaggerConfig
getMinimizer() CRFClassifier
getMinimizer(int, Evaluator[]) CRFClassifier
getMinNodes() MultiNodePattern
getMinTokenStart() AceEventMention
Returns the smallest start of all argument heads (or the beginning of the
mention's extent if there are no arguments)
getMinTokenStart() AceRelationMention
Returns the smallest start of the two args heads
getMod() SUTime.Temporal
getModal(Dictionaries) Mention
getModal(Dictionaries) Mention
getModality() AceEvent
getMode() TaggerConfig
getModel() TaggerConfig
getModelFromLexicalizedParser(LexicalizedParser) DVParser
getModification() EventMention
getModifiers(Dictionaries) Mention
getModifiers(Dictionaries) Mention
getMonth() SUTime.IsoDate
getMostGeneral(Partial) JodaTimeUtils
getMostGeneral(Period) JodaTimeUtils
getMostSpecific(Partial) JodaTimeUtils
getMostSpecific(Period) JodaTimeUtils
getmPolarity() AceEvent
getMultimatched() MultiMatch
getMultimatches() MultiMatch
getMultioffsets() MultiMatch
getMultiPatternMatcher(Collection<TokenSequencePattern>) TokenSequencePattern
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
getMultiPatternMatcher(TokenSequencePattern...) TokenSequencePattern
Create a multi-pattern matcher for matching across multiple TokensRegex patterns.
getMultiPatternMatcher(String...) TokenSequencePattern
Create a multi-pattern matcher for matching across multiple TokensRegex patterns from Strings.
getMultivalues() MultiMatch
getName() CorefDocumentProcessor
getName() Unit
getName() UnitPrefix
getName() InefficientSGDMinimizer
getName() ScaledSGDMinimizer
getName() SGDMinimizer
getName() SGDToQNMinimizer
getName() SGDWithAdaGradAndFOBOS
getName() SMDMinimizer
getName() SQNMinimizer
getName() StochasticMinimizer
getName() CoreNLPProtos.Operator.Builder
required string name = 1;
getName() CoreNLPProtos.Operator
required string name = 1;
getName() CoreNLPProtos.OperatorOrBuilder
required string name = 1;
getName() NodePattern
getName() MetaClass.ClassFactory
Returns the full class name for the objects being produced
getNameBytes() CoreNLPProtos.Operator.Builder
required string name = 1;
getNameBytes() CoreNLPProtos.Operator
required string name = 1;
getNameBytes() CoreNLPProtos.OperatorOrBuilder
required string name = 1;
getNamesInParagraph(CoreMap) Sieve
getNColors(int) NERGUI
getNegation(Dictionaries) Mention
getNegation(Dictionaries) Mention
getNegLabel() LabeledChunkIdentifier
getNegLabel() MultiClassPrecisionRecallStats
getNeighbors(V) DirectedMultiGraph
Gets both parents and children nodes
getNeighbors(V) Graph
getNer() CoreNLPProtos.NERMention.Builder
required string ner = 4;
getNer() CoreNLPProtos.NERMention
required string ner = 4;
getNer() CoreNLPProtos.NERMentionOrBuilder
required string ner = 4;
getNer() CoreNLPProtos.Token.Builder
The word's NER tag
getNer() CoreNLPProtos.Token
The word's NER tag
getNer() CoreNLPProtos.TokenOrBuilder
The word's NER tag
getNerBytes() CoreNLPProtos.NERMention.Builder
required string ner = 4;
getNerBytes() CoreNLPProtos.NERMention
required string ner = 4;
getNerBytes() CoreNLPProtos.NERMentionOrBuilder
required string ner = 4;
getNerBytes() CoreNLPProtos.Token.Builder
The word's NER tag
getNerBytes() CoreNLPProtos.Token
The word's NER tag
getNerBytes() CoreNLPProtos.TokenOrBuilder
The word's NER tag
getNerc() AceToken
getNerString() CoreNLPProtos.Mention.Builder
optional string nerString = 12;
getNerString() CoreNLPProtos.Mention
optional string nerString = 12;
getNerString() CoreNLPProtos.MentionOrBuilder
optional string nerString = 12;
getNerStringBytes() CoreNLPProtos.Mention.Builder
optional string nerString = 12;
getNerStringBytes() CoreNLPProtos.Mention
optional string nerString = 12;
getNerStringBytes() CoreNLPProtos.MentionOrBuilder
optional string nerString = 12;
getNewEnv() NumberNormalizer
getNewEnv() TokenSequencePattern
getNewInstance(PatternFactory.PatternType, CoreMap) DataInstance
getNewLineCount() RobustTokenizer.WordToken
getNewlineToken() PTBTokenizer
Returns the string literal inserted for newlines when the -tokenizeNLs
options is set.
getNewSurfaceInstance(List<CoreLabel>) DataInstance
getNext() RobustTokenizer
getNext() ArabicTokenizer
getNext() FrenchTokenizer
getNext() SpanishTokenizer
getNext() AbstractTokenizer
Internally fetches the next token.
getNext() LexerTokenizer
Internally fetches the next token.
getNext() PTBTokenizer
Internally fetches the next token.
getNext() TokenizerAdapter
Internally fetches the next token.
getNext() WhitespaceTokenizer
Internally fetches the next token.
getNext() WordSegmentingTokenizer
getNext() ArabicTreebankTokenizer
Internally fetches the next token.
getNext() CHTBTokenizer
Internally fetches the next token.
getNextContext() SurfacePattern
getNextContextLen() SurfacePattern
getNextContextStr() SurfacePattern
getNextDocument() CoNLLDocumentReader
getNextDocument() CoNLL2011DocumentReader
getNextToken() TokenSequenceParser
Get the next Token.
getNGrams(List<T>, int, int) CollectionUtils
Get all sub-lists of the given list of the given sizes.
getNgrams(List<String>, int, int) StringUtils
n grams for already split string.
getNgramsFromTokens(List<CoreLabel>, int, int) StringUtils
n grams for already split string.
getNgramsString(String, int, int) StringUtils
The string is split on whitespace and the ngrams are joined with a single space
getNmod(String) UniversalEnglishGrammaticalRelations
The "nmod" grammatical relation.
getNmods() UniversalEnglishGrammaticalRelations
getNode(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNode(String) SemgrexMatcher
Returns the node labeled with name in the pattern.
getNode(Node, Pattern...) XMLUtils
getNode(Node, String...) XMLUtils
getNode(String) TregexMatcher
Returns the node labeled with name in the pattern.
getNode(IntervalTree.TreeNode<E, T>, int) IntervalTree
getNodeBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeByIndex(int) SemanticGraph
Returns the
first IndexedWord in this
SemanticGraph having the given integer index,
or throws
IllegalArgumentException if no such node is found.
getNodeByIndexAndCopyCount(int, int) SemanticGraph
Returns the
first IndexedWord in this
SemanticGraph having the given integer index,
or throws
IllegalArgumentException if no such node is found.
getNodeByIndexAndCopyCountSafe(int, int) SemanticGraph
Same as above, but returns null if the index does not exist
(instead of throwing an exception).
getNodeByIndexSafe(int) SemanticGraph
Same as above, but returns null if the index does not exist
(instead of throwing an exception).
getNodeByWordPattern(String) SemanticGraph
Returns the
first IndexedWord in this
SemanticGraph having the given word or
regex, or return null if no such found.
getNodeCount() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeCount() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeCount() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeNames() SemgrexMatcher
Returns the set of names for named nodes in this pattern.
getNodeNames() TregexMatcher
getNodeNumber(int) Tree
getNodeOrBuilder(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilder(int) CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilder(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() CoreNLPProtos.DependencyGraph
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodeOrBuilderList() CoreNLPProtos.DependencyGraphOrBuilder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
getNodePattern(String) Env
getNodes() TransducerGraph
Just does union of keysets of maps.
getNodes(Node, Pattern...) XMLUtils
getNodes(Node, String...) XMLUtils
getNodeText(Node, Pattern...) XMLUtils
getNodeText(Node, String...) XMLUtils
getNodeTexts(Node, String...) XMLUtils
getNodeVector(Tree) RNNCoreAnnotations
Get the vector (distributed representation) at a particular node.
getNonBackgroundLabels(CoreLabel) GetPatternsFromDataMultiClass
getNonNested(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) IntervalTree
getNonOverlapping(List<Match<K, V>>) TrieMapMatcher
Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, Comparator<? super Match<K, V>>) TrieMapMatcher
Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, ToDoubleFunction<? super Match<K, V>>) TrieMapMatcher
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>) IntervalTree
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) IntervalTree
getNonOverlapping(List<? extends T>, Comparator<? super T>) IntervalTree
getNonOverlapping(List<? extends T>) IntervalTree
getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Interval<E>>, ToDoubleFunction<? super T>) IntervalTree
getNonOverlappingMaxScore(List<? extends T>, ToDoubleFunction<? super T>) IntervalTree
getNormalized(String) ComplexNodePattern.AbstractStringAnnotationPattern
getNormalizedCount(E) IntCounter
This has been de-deprecated in order to reduce compilation warnings, but
really you should create a
Distribution instead of using this method.
getNormalizedForm(String) PhraseTable
getNormalizedName() EntityMention
getNormalizedName() CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
getNormalizedName() CoreNLPProtos.Entity
optional string normalizedName = 9;
getNormalizedName() CoreNLPProtos.EntityOrBuilder
optional string normalizedName = 9;
getNormalizedNameBytes() CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
getNormalizedNameBytes() CoreNLPProtos.Entity
optional string normalizedName = 9;
getNormalizedNameBytes() CoreNLPProtos.EntityOrBuilder
optional string normalizedName = 9;
getNormalizedNER() CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
getNormalizedNER() CoreNLPProtos.NERMention
optional string normalizedNER = 5;
getNormalizedNER() CoreNLPProtos.NERMentionOrBuilder
optional string normalizedNER = 5;
getNormalizedNER() CoreNLPProtos.Token.Builder
The word's normalized NER tag
getNormalizedNER() CoreNLPProtos.Token
The word's normalized NER tag
getNormalizedNER() CoreNLPProtos.TokenOrBuilder
The word's normalized NER tag
getNormalizedNERBytes() CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
getNormalizedNERBytes() CoreNLPProtos.NERMention
optional string normalizedNER = 5;
getNormalizedNERBytes() CoreNLPProtos.NERMentionOrBuilder
optional string normalizedNER = 5;
getNormalizedNERBytes() CoreNLPProtos.Token.Builder
The word's normalized NER tag
getNormalizedNERBytes() CoreNLPProtos.Token
The word's normalized NER tag
getNormalizedNERBytes() CoreNLPProtos.TokenOrBuilder
The word's normalized NER tag
getNotNullString(String) StringUtils
getNotNullTrueStringRep() SeqClassifierFlags
note that this does *not* return string representation of arrays, lists and
enums
getNThreads() TaggerConfig
getNum() AbstractEval
getNumber() Experiments
getNumber() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
getNumber() CoreNLPProtos.CorefChain.CorefMention
optional string number = 3;
getNumber() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string number = 3;
getNumber() CoreNLPProtos.Language
getNumber() CoreNLPProtos.Mention.Builder
optional string number = 3;
getNumber() CoreNLPProtos.Mention
optional string number = 3;
getNumber() CoreNLPProtos.MentionOrBuilder
optional string number = 3;
getNumber() CoreNLPProtos.NaturalLogicRelation
getNumber() CoreNLPProtos.Sentiment
getNumberBytes() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
getNumberBytes() CoreNLPProtos.CorefChain.CorefMention
optional string number = 3;
getNumberBytes() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string number = 3;
getNumberBytes() CoreNLPProtos.Mention.Builder
optional string number = 3;
getNumberBytes() CoreNLPProtos.Mention
optional string number = 3;
getNumberBytes() CoreNLPProtos.MentionOrBuilder
optional string number = 3;
getNumberOfKeys() Distribution
getNumberOfTemporalExprs() SUTime.TimeIndex
getNumberOfTemporalFuncs() SUTime.TimeIndex
getNumberOfTemporals() SUTime.TimeIndex
getNumClasses() CRFCliqueTree
getNumClasses() EntityCachingAbstractSequencePriorBIO
get the number of classes in the sequence model.
getNumEdges() DirectedMultiGraph
getNumEdges() Graph
getNumEdges() Lattice
getNumElements() SimpleTensor
Total number of elements in the tensor
getNumEpochs() PairwiseModel
getNumFeatures(Properties, String) HybridCorefProperties
getNumNodes() Lattice
getNumStates() HTKLatticeReader
getNumTrainingExamples() PairwiseModel
getNumTrees(Properties, String) HybridCorefProperties
getNumValues() CRFCliqueTree
getNumVertices() DirectedMultiGraph
getNumVertices() Graph
getNumWeights() CRFClassifier
Returns the total number of weights associated with this classifier.
getObject() CoreNLPProtos.RelationTriple.Builder
The surface form of the object
getObject() CoreNLPProtos.RelationTriple
The surface form of the object
getObject() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the object
getObject(E) BinaryHeapPriorityQueue
Searches for the object in the queue and returns it.
getObjectBytes() CoreNLPProtos.RelationTriple.Builder
The surface form of the object
getObjectBytes() CoreNLPProtos.RelationTriple
The surface form of the object
getObjectBytes() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the object
getObjectId() ExtractionObject
getObjectID() CoreNLPProtos.Entity.Builder
inherited from ExtractionObject
getObjectID() CoreNLPProtos.Entity
inherited from ExtractionObject
getObjectID() CoreNLPProtos.EntityOrBuilder
inherited from ExtractionObject
getObjectID() CoreNLPProtos.Relation.Builder
inherited from ExtractionObject
getObjectID() CoreNLPProtos.Relation
inherited from ExtractionObject
getObjectID() CoreNLPProtos.RelationOrBuilder
inherited from ExtractionObject
getObjectIDBytes() CoreNLPProtos.Entity.Builder
inherited from ExtractionObject
getObjectIDBytes() CoreNLPProtos.Entity
inherited from ExtractionObject
getObjectIDBytes() CoreNLPProtos.EntityOrBuilder
inherited from ExtractionObject
getObjectIDBytes() CoreNLPProtos.Relation.Builder
inherited from ExtractionObject
getObjectIDBytes() CoreNLPProtos.Relation
inherited from ExtractionObject
getObjectIDBytes() CoreNLPProtos.RelationOrBuilder
inherited from ExtractionObject
getObjective(AbstractStochasticCachingDiffUpdateFunction, double[], double, int[]) SGDMinimizer
getObjectiveFunction(int[][][][], int[][]) CRFClassifier
getObjectiveFunction(int[][][][], int[][]) CRFClassifierNoisyLabel
getObjectiveFunction(int[][][][], int[][]) CRFClassifierWithDropout
getObjectSpan() KBPRelationExtractor.KBPInput
getObjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 objectSpanBegin = 6;
getObjectSpanBegin() CoreNLPProtos.Operator
required int32 objectSpanBegin = 6;
getObjectSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 objectSpanBegin = 6;
getObjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 objectSpanEnd = 7;
getObjectSpanEnd() CoreNLPProtos.Operator
required int32 objectSpanEnd = 7;
getObjectSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 objectSpanEnd = 7;
getObjectText() KBPRelationExtractor.KBPInput
getObjectTokens(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
getObjectTokens(int) CoreNLPProtos.RelationTriple
The tokens comprising the object of the triple
getObjectTokens(int) CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the object of the triple
getObjectTokensBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
getObjectTokensBuilderList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
getObjectTokensCount() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
getObjectTokensCount() CoreNLPProtos.RelationTriple
The tokens comprising the object of the triple
getObjectTokensCount() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the object of the triple
getObjectTokensList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
getObjectTokensList() CoreNLPProtos.RelationTriple
The tokens comprising the object of the triple
getObjectTokensList() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the object of the triple
getObjectTokensOrBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
getObjectTokensOrBuilder(int) CoreNLPProtos.RelationTriple
The tokens comprising the object of the triple
getObjectTokensOrBuilder(int) CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the object of the triple
getObjectTokensOrBuilderList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
getObjectTokensOrBuilderList() CoreNLPProtos.RelationTriple
The tokens comprising the object of the triple
getObjectTokensOrBuilderList() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the object of the triple
getOneSmallerLabel() CRFLabel
getOp() ParserGrammar
getOp() DVParser
getOp() LexicalizedParser
getOp() ShiftReduceParser
getOpenClassTags() TaggerConfig
getOpenieTriple(int) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
getOpenieTriple(int) CoreNLPProtos.Sentence
The OpenIE triples in the sentence
getOpenieTriple(int) CoreNLPProtos.SentenceOrBuilder
The OpenIE triples in the sentence
getOpenieTripleBuilder(int) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
getOpenieTripleBuilderList() CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
getOpenieTripleCount() CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
getOpenieTripleCount() CoreNLPProtos.Sentence
The OpenIE triples in the sentence
getOpenieTripleCount() CoreNLPProtos.SentenceOrBuilder
The OpenIE triples in the sentence
getOpenieTripleList() CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
getOpenieTripleList() CoreNLPProtos.Sentence
The OpenIE triples in the sentence
getOpenieTripleList() CoreNLPProtos.SentenceOrBuilder
The OpenIE triples in the sentence
getOpenieTripleOrBuilder(int) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
getOpenieTripleOrBuilder(int) CoreNLPProtos.Sentence
The OpenIE triples in the sentence
getOpenieTripleOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
The OpenIE triples in the sentence
getOpenieTripleOrBuilderList() CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
getOpenieTripleOrBuilderList() CoreNLPProtos.Sentence
The OpenIE triples in the sentence
getOpenieTripleOrBuilderList() CoreNLPProtos.SentenceOrBuilder
The OpenIE triples in the sentence
getOpenTags() TTags
Returns a list of all open class tags
getOperationFromReader(BufferedReader, TregexPatternCompiler) Tsurgeon
Parses a tsurgeon script text input and compiles a tregex pattern and a list
of tsurgeon operations into a pair.
getOperationsFromFile(String, String, TregexPatternCompiler) Tsurgeon
Parses a tsurgeon script file and compiles all operations in the file into a list
of pairs of tregex and tsurgeon patterns.
getOperationsFromReader(BufferedReader, TregexPatternCompiler) Tsurgeon
Parses and compiles all operations from a BufferedReader into a list
of pairs of tregex and tsurgeon patterns.
getOperator() CoreNLPProtos.Token.Builder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
getOperator() CoreNLPProtos.Token
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
getOperator() CoreNLPProtos.TokenOrBuilder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
getOperatorBuilder() CoreNLPProtos.Token.Builder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
getOperatorOrBuilder() CoreNLPProtos.Token.Builder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
getOperatorOrBuilder() CoreNLPProtos.Token
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
getOperatorOrBuilder() CoreNLPProtos.TokenOrBuilder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
getOpFlags() SUTime.RelativeTime
getOptions(StanfordCoreNLP) AnnotationOutputter
Populates options from StanfordCoreNLP pipeline.
getOracle(Configuration, DependencyTree) ArcStandard
getOracle(Configuration, DependencyTree) ParsingSystem
Provide a static-oracle recommendation for the next parsing step
to take.
getOrder() BasicSequenceMatchResult
getOrder() MatchedExpression
getOrder() SequenceMatchResult
getOrderedAntecedents(int, int, List<Mention>, List<List<Mention>>, Mention, int, Map<Integer, CorefCluster>, Dictionaries) DeterministicCorefSieve
Orders the antecedents for the given mention (m1)
getOrderedAntecedents(Mention, int, int, List<List<Mention>>, Dictionaries) Sieve
getOrderedAntecedents(int, int, List<Mention>, List<List<Mention>>, Mention, int, Map<Integer, CorefCluster>, Dictionaries) DeterministicCorefSieve
Orders the antecedents for the given mention (m1)
getOrderedMentions() Document
return the list of predicted mentions
getOrderedMentions() Document
return the list of predicted mentions
getOriginal() IndexedWord
getOriginalRef() CoreNLPProtos.Mention.Builder
optional uint32 originalRef = 13;
getOriginalRef() CoreNLPProtos.Mention
optional uint32 originalRef = 13;
getOriginalRef() CoreNLPProtos.MentionOrBuilder
optional uint32 originalRef = 13;
getOriginalSpan(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpan(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpan(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanCount() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanCount() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanCount() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilder(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilder(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilderList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalSpanOrBuilderList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
getOriginalStem() SpanishVerbStripper.StrippedVerb
Returns the original stem of the verb, simply split off from pronouns.
getOriginalText() CoreNLPProtos.Token.Builder
The original text for this token
getOriginalText() CoreNLPProtos.Token
The original text for this token
getOriginalText() CoreNLPProtos.TokenOrBuilder
The original text for this token
getOriginalTextBytes() CoreNLPProtos.Token.Builder
The original text for this token
getOriginalTextBytes() CoreNLPProtos.Token
The original text for this token
getOriginalTextBytes() CoreNLPProtos.TokenOrBuilder
The original text for this token
getOtherSemanticClassesWords() ConstantsAndVariables
getOutDegree(V) DirectedMultiGraph
getOutDegree(V) Graph
getOutEdgesSorted(IndexedWord) SemanticGraph
getOuterMapFactory() TwoDimensionalCounter
getOuterMapFactory() TwoDimensionalIntCounter
getOutgoingEdges(V) DirectedMultiGraph
getOutgoingEdges(V) Graph
for undirected graph, it is just the edges from the node
getOutput() DFSATransition
getOutput() TransducerGraph.Arc
getOutput() CmdEvaluator
getOutputEncoding() AbstractTreebankParserParams
Returns the output encoding being used.
getOutputEncoding() TreebankLangParserParams
Returns the output encoding being used.
getOutputFile() TaggerConfig
getOutputFormat() TaggerConfig
getOutputLemmas() TaggerConfig
getOutputOfPathInGraph(List) TransducerGraph
For testing only.
getOutputOptions() TaggerConfig
getOutputOptionsContains(String) TaggerConfig
getOutputStream() ByteStreamGobbler
getOutputVerbosity() TaggerConfig
getOverlapping(T) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, E) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, E, List<T>) IntervalTree
getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>, List<T>) IntervalTree
getPad() PaddedList
getPage() OpenPageDialog
getPairFeatures(Pair<Integer, Integer>, Document, Map<Integer, List<Mention>>) CategoricalFeatureExtractor
getPairwiseScore(SimpleMatrix, SimpleMatrix, SimpleMatrix) NeuralCorefModel
getParagraph() CoreNLPProtos.Mention.Builder
optional uint32 paragraph = 19;
getParagraph() CoreNLPProtos.Mention
optional uint32 paragraph = 19;
getParagraph() CoreNLPProtos.MentionOrBuilder
optional uint32 paragraph = 19;
getParagraph() CoreNLPProtos.Sentence.Builder
optional uint32 paragraph = 11;
getParagraph() CoreNLPProtos.Sentence
optional uint32 paragraph = 11;
getParagraph() CoreNLPProtos.SentenceOrBuilder
optional uint32 paragraph = 11;
getParagraphBeginNumber(CoreMap) QuoteAttributionUtils
getParagraphEndNumber(CoreMap) QuoteAttributionUtils
getParagraphIndex() CoreNLPProtos.Sentence.Builder
optional uint32 paragraphIndex = 67;
getParagraphIndex() CoreNLPProtos.Sentence
optional uint32 paragraphIndex = 67;
getParagraphIndex() CoreNLPProtos.SentenceOrBuilder
optional uint32 paragraphIndex = 67;
getParagraphRank(Annotation, CoreMap) QuoteAttributionUtils
getParamDesc() ValueFunctions.BooleanFunction
getParamDesc() ValueFunctions.CompareFunction
getParamDesc() ValueFunctions.NamedValueFunction
getParamDesc(String, int) ValueFunctions.NamedValueFunction
getParamDesc() ValueFunctions.NumericFunction
getParamDesc() ValueFunctions.StringFunction
getParamDesc() ValueFunctions.TypeCheckedFunction
getParent() AceEntityMention
getParent() AceEventMention
getParent() AceRelationMention
getParent() CoreNLPProtos.Token.Builder
French tokens have parents
getParent() CoreNLPProtos.Token
French tokens have parents
getParent() CoreNLPProtos.TokenOrBuilder
French tokens have parents
getParent(IndexedWord) SemanticGraph
Return the real syntactic parent of vertex.
getParent() GrammaticalRelation
Returns the parent of this GrammaticalRelation.
getParentBytes() CoreNLPProtos.Token.Builder
French tokens have parents
getParentBytes() CoreNLPProtos.Token
French tokens have parents
getParentBytes() CoreNLPProtos.TokenOrBuilder
French tokens have parents
getParentList(IndexedWord) SemanticGraph
getParents(V) DirectedMultiGraph
getParents(V) Graph
for undirected graph, it is just the neighbors
getParents() EventMention
If this EventMention is a subevent, this will return the parent event.
getParents(IndexedWord) SemanticGraph
getParentsWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Returns a set of all parents bearing a certain grammatical relation, or an
empty set if none.
getParse(String, boolean) LexicalizedParserClient
Returns the String output of the parse of the given query.
getParser() GenericDataSetReader
getParserForType() CoreNLPProtos.CorefChain.CorefMention
getParserForType() CoreNLPProtos.CorefChain
getParserForType() CoreNLPProtos.DependencyGraph.Edge
getParserForType() CoreNLPProtos.DependencyGraph
getParserForType() CoreNLPProtos.DependencyGraph.Node
getParserForType() CoreNLPProtos.Document
getParserForType() CoreNLPProtos.Entity
getParserForType() CoreNLPProtos.IndexedWord
getParserForType() CoreNLPProtos.MapIntString
getParserForType() CoreNLPProtos.MapStringString
getParserForType() CoreNLPProtos.Mention
getParserForType() CoreNLPProtos.NERMention
getParserForType() CoreNLPProtos.Operator
getParserForType() CoreNLPProtos.ParseTree
getParserForType() CoreNLPProtos.Polarity
getParserForType() CoreNLPProtos.Quote
getParserForType() CoreNLPProtos.Relation
getParserForType() CoreNLPProtos.RelationTriple
getParserForType() CoreNLPProtos.Section
getParserForType() CoreNLPProtos.Sentence
getParserForType() CoreNLPProtos.SentenceFragment
getParserForType() CoreNLPProtos.Span
getParserForType() CoreNLPProtos.SpeakerInfo
getParserForType() CoreNLPProtos.Timex
getParserForType() CoreNLPProtos.Token
getParserForType() CoreNLPProtos.TokenLocation
getParserFromFile(String, Options) LexicalizedParser
getParserFromSerializedFile(String) LexicalizedParser
getParserFromTextFile(String, Options) LexicalizedParser
getParserFromTreebank(Treebank, Treebank, double, GrammarCompactor, Options, Treebank, List<List<TaggedWord>>) LexicalizedParser
A method for training from two different treebanks, the second of which is presumed
to be orders of magnitude larger.
getParserQueryEvals() ParserGrammar
Return a list of Eval-style objects which care about the whole
ParserQuery, not just the finished tree
getParserQueryEvals() LexicalizedParser
getParserQueryEvals() ShiftReduceParser
getParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeOrBuilder() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeOrBuilder() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getParseTreeOrBuilder() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
getPartial(Instant, Partial) JodaTimeUtils
getPartNo() CoNLLDocumentReader.CoNLLDocument
getPartNo() CoNLL2011DocumentReader.Document
getPathModel(Properties, String) HybridCorefProperties
getPathOutputs(List<List>) TransducerGraph
For testing only.
getPathSerialized(Properties) HybridCorefProperties
getPathSerializedWordVectors(Properties) HybridCorefProperties
getPathToRoot(IndexedWord) SemanticGraph
Find the path from the given node to a root.
getPathWord2Vec(Properties) HybridCorefProperties
getPatsForEachToken() GetPatternsFromDataMultiClass
getPattern() Mention
getPattern(List<AbstractCoreLabel>) Mention
getPattern() Mention
getPattern(List<AbstractCoreLabel>) Mention
getPattern() ComplexNodePattern.SequenceRegexPattern
getPattern() ComplexNodePattern.StringAnnotationRegexPattern
getPattern(String[]) MultiWordStringMatcher
getPattern(String) MultiWordStringMatcher
getPattern() ExtractedPhrase
getPattern() InputPanel.TRegexGUITreeVisitor
getPatternExpr() SequencePattern
getPatterns(String, Set<E>, E, Counter<CandidatePhrase>, Set<E>) GetPatternsFromDataMultiClass
getPatternsAroundTokens(DataInstance, Set<CandidatePhrase>) DepPatternFactory
getPatternsAroundTokens(PatternFactory.PatternType, DataInstance, Set<CandidatePhrase>) PatternFactory
getPatternsAroundTokens(DataInstance, Set<CandidatePhrase>) SurfacePatternFactory
getPatternScoringClass(GetPatternsFromDataMultiClass.PatternScoring) GetPatternsFromDataMultiClass
getPatternsForAllTokens(String) PatternsForEachToken
getPatternsForAllTokens(Collection<String>) PatternsForEachToken
getPatternsForAllTokens(String) PatternsForEachTokenDB
getPatternsForAllTokens(Collection<String>) PatternsForEachTokenDB
getPatternsForAllTokens(String) PatternsForEachTokenInMemory
getPatternsForAllTokens(Collection<String>) PatternsForEachTokenInMemory
GetPatternsFromDataMultiClass E extends Pattern > - Class in edu.stanford.nlp.patterns
Given text and a seed list, this class gives more words like the seed words
by learning surface word or dependency patterns.
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, String) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, Class, String) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, String, Map<String, Class>, Map<Class, Object>) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Set<CandidatePhrase>, boolean, Class, String, Map<String, Class>, Map<Class, Object>) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Map<String, Set<CandidatePhrase>>, boolean) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Map<String, Set<CandidatePhrase>>, boolean, Map<String, Class<? extends TypesafeMap.Key<String>>>) GetPatternsFromDataMultiClass
GetPatternsFromDataMultiClass(Properties, Map<String, DataInstance>, Map<String, Set<CandidatePhrase>>, boolean, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) GetPatternsFromDataMultiClass
Generalize classes basically maps label strings to a map of generalized
strings and the corresponding class ignoreClasses have to be boolean.
GetPatternsFromDataMultiClass.Flags edu.stanford.nlp.patterns
GetPatternsFromDataMultiClass.LabelWithSeedWords edu.stanford.nlp.patterns
Warning: sets labels of words that are not in the given seed set as O!!!
GetPatternsFromDataMultiClass.PatternScoring edu.stanford.nlp.patterns
RlogF is from Riloff 1996, when R's denominator is (pos+neg+unlabeled)
RlogFPosNeg is when the R's denominator is just (pos+negative) examples
PosNegOdds is just the ratio of number of positive words to number of
negative
PosNegUnlabOdds is just the ratio of number of positive words to number of
negative (unlabeled words + negative)
RatioAll is pos/(neg+pos+unlabeled)
YanGarber02 is the modified version presented in
"Unsupervised Learning of Generalized Names"
LOGREG is learning a logistic regression classifier to combine weights to
score a phrase (Same as PhEvalInPat, except score of an unlabeled phrase is
computed using a logistic regression classifier)
LOGREGlogP is learning a logistic regression classifier to combine weights
to score a phrase (Same as PhEvalInPatLogP, except score of an unlabeled
phrase is computed using a logistic regression classifier)
SqrtAllRatio is the pattern scoring used in Gupta et al.
getPatternsInstance(Properties, ConstantsAndVariables.PatternForEachTokenWay) PatternsForEachToken
getPCFGParser() ParserQuery
getPCFGParser() LexicalizedParserQuery
getPCFGParser() RerankingParserQuery
getPCFGParser() ShiftReduceParserQuery
getPCFGScore() ParserQuery
getPCFGScore() LexicalizedParserQuery
getPCFGScore() RerankingParserQuery
getPCFGScore() ShiftReduceParserQuery
getPercentCorrect() Classifier.Cost
getPeriod() SUTime.CompositePartialTime
getPeriod() SUTime.Duration
getPeriod() SUTime.PartialTime
getPeriod() SUTime.PeriodicTemporalSet
getPeriod() SUTime.StandardTemporalType
getPeriod() SUTime.Temporal
getPeriod() SUTime.TimeUnit
getPerson() CoreNLPProtos.Mention.Builder
optional string person = 6;
getPerson() CoreNLPProtos.Mention
optional string person = 6;
getPerson() CoreNLPProtos.MentionOrBuilder
optional string person = 6;
getPersonBytes() CoreNLPProtos.Mention.Builder
optional string person = 6;
getPersonBytes() CoreNLPProtos.Mention
optional string person = 6;
getPersonBytes() CoreNLPProtos.MentionOrBuilder
optional string person = 6;
getPerturbedDistribution(Counter<E>, Random) Distribution
getPerturbedUniformDistribution(Collection<E>, Random) Distribution
getPhrase() PhraseTable.PhraseMatch
getPhrase() CandidatePhrase
getPhraseLemma() CandidatePhrase
getPhraseWeightFromWords(Counter<CandidatePhrase>, CandidatePhrase, double) PhraseScorer
getPID() SystemUtils
Returns the process ID, via an awful hack.
getPIDNoExceptions() SystemUtils
Returns the process ID, via an awful hack, or else -1.
getPipeline(Properties, boolean) SUTimeMain
getPMIThres(Properties, String) HybridCorefProperties
getPolarity() CoreNLPProtos.Token.Builder
The polarity of this word, according to Natural Logic
getPolarity() CoreNLPProtos.Token
The polarity of this word, according to Natural Logic
getPolarity() CoreNLPProtos.TokenOrBuilder
The polarity of this word, according to Natural Logic
getPolarityBuilder() CoreNLPProtos.Token.Builder
The polarity of this word, according to Natural Logic
getPolarityDir() CoreNLPProtos.Token.Builder
The polarity of this word, either "up", "down", or "flat"
getPolarityDir() CoreNLPProtos.Token
The polarity of this word, either "up", "down", or "flat"
getPolarityDir() CoreNLPProtos.TokenOrBuilder
The polarity of this word, either "up", "down", or "flat"
getPolarityDirBytes() CoreNLPProtos.Token.Builder
The polarity of this word, either "up", "down", or "flat"
getPolarityDirBytes() CoreNLPProtos.Token
The polarity of this word, either "up", "down", or "flat"
getPolarityDirBytes() CoreNLPProtos.TokenOrBuilder
The polarity of this word, either "up", "down", or "flat"
getPolarityOrBuilder() CoreNLPProtos.Token.Builder
The polarity of this word, according to Natural Logic
getPolarityOrBuilder() CoreNLPProtos.Token
The polarity of this word, according to Natural Logic
getPolarityOrBuilder() CoreNLPProtos.TokenOrBuilder
The polarity of this word, according to Natural Logic
getPos() AceToken
getPOS(int) Configuration
getPos() CoreNLPProtos.Token.Builder
The word's part of speech tag
getPos() CoreNLPProtos.Token
The word's part of speech tag
getPos() CoreNLPProtos.TokenOrBuilder
The word's part of speech tag
getPosBytes() CoreNLPProtos.Token.Builder
The word's part of speech tag
getPosBytes() CoreNLPProtos.Token
The word's part of speech tag
getPosBytes() CoreNLPProtos.TokenOrBuilder
The word's part of speech tag
getPOSDistribution() ChineseCharacterBasedLexicon
getPosID(String) DependencyParser
getPosition() Mention
getPosition() Mention
getPosition() CoreNLPProtos.CorefChain.CorefMention.Builder
the second element of position
getPosition() CoreNLPProtos.CorefChain.CorefMention
the second element of position
getPosition() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
the second element of position
getPositions(FeatureKey) TemplateHash
getPosSet() DependencyParser
Return the set of part-of-speech tags of this parser.
getPossibleValues(int) CRFCliqueTree
getPossibleValues(int) TestSequenceModel
getPossibleValues(int) EntityCachingAbstractSequencePriorBIO
getPossibleValues(int) FactoredSequenceModel
Return the valid sequence labels (as integer indices) for a particular
position in the sequence.
getPossibleValues(int) SequenceModel
Return the valid sequence labels (as integer indices) for a particular
position in the sequence.
getPossibleValues(int) TestSentence
getPostHooks(Edge) HookChart
getPostmodifiers() Mention
getPostmodifiers() Mention
getPrecision() EvalUtils.AbstractEvaluator
getPrecision() CorefScorer
getPrecision(L) MultiClassPrecisionRecallStats
getPrecision() MultiClassPrecisionRecallStats
getPrecision() PrecisionRecallStats
Returns the current precision: tp/(tp+fp) .
getPrecisionDescription(int) MultiClassPrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getPrecisionDescription(int, L) MultiClassPrecisionRecallStats
getPrecisionDescription(int) PrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getPrecisionInfo(L) MultiClassPrecisionRecallStats
Returns the current precision: tp/(tp+fp) .
getPrecisionInfo() MultiClassPrecisionRecallStats
getPredicateNominatives(int) CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
getPredicateNominatives(int) CoreNLPProtos.Mention
repeated int32 predicateNominatives = 55;
getPredicateNominatives(int) CoreNLPProtos.MentionOrBuilder
repeated int32 predicateNominatives = 55;
getPredicateNominativesCount() CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
getPredicateNominativesCount() CoreNLPProtos.Mention
repeated int32 predicateNominatives = 55;
getPredicateNominativesCount() CoreNLPProtos.MentionOrBuilder
repeated int32 predicateNominatives = 55;
getPredicateNominativesList() CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
getPredicateNominativesList() CoreNLPProtos.Mention
repeated int32 predicateNominatives = 55;
getPredicateNominativesList() CoreNLPProtos.MentionOrBuilder
repeated int32 predicateNominatives = 55;
getPredictedClass(Tree) RNNCoreAnnotations
Return as an int the predicted class.
getPredictedClass(Label) RNNCoreAnnotations
Return as an int the predicted class.
getPredictedClassProb(Label) RNNCoreAnnotations
Return as a double the probability of the predicted class.
getPredictionError(Tree) RNNCoreAnnotations
getPredictions() MachineReading
getPredictions(Tree) RNNCoreAnnotations
getPredictionsAsStringList(Tree) RNNCoreAnnotations
getPreferredSize() ScrollableTreeJPanel
getPrefix() AceDocument
getPrefixBe() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' prefix
getPrefixBe() CoreNLPProtos.RelationTriple
If true, this relation string is missing a 'be' prefix
getPrefixBe() CoreNLPProtos.RelationTripleOrBuilder
If true, this relation string is missing a 'be' prefix
getPrefixesAndSuffixes(List<T>, int, int, T, boolean, boolean) CollectionUtils
Get all prefix/suffix combinations from a list.
getPreHooks(Edge) HookChart
getPremodifierContext() Mention
getPremodifierContext() Mention
getPremodifiers() Mention
getPremodifiers() Mention
getPrep(String) EnglishGrammaticalRelations
The "prep" grammatical relation.
getPrepC(String) EnglishGrammaticalRelations
The "prepc" grammatical relation.
getPreprocessedTerms(int) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTerms(int) CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTerms(int) CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreprocessedTermsBytes(int) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTermsBytes(int) CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTermsBytes(int) CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreprocessedTermsCount() CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTermsCount() CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTermsCount() CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreprocessedTermsList() CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
getPreprocessedTermsList() CoreNLPProtos.Mention
repeated string preprocessedTerms = 53;
getPreprocessedTermsList() CoreNLPProtos.MentionOrBuilder
repeated string preprocessedTerms = 53;
getPreps() EnglishGrammaticalRelations
getPrepsC() EnglishGrammaticalRelations
getPreTerminal(Tree, int) Trees
gets the nth preterminal in tree.
getPrettyPrint() StanfordCoreNLP
If true, signal for outputters to pretty-print the output.
getPrevContext() SurfacePattern
getPrevContextStr() SurfacePattern
getPreviousContextLen() SurfacePattern
getPrintSingletons() StanfordCoreNLP
getPrintWriter(File) IOUtils
getPrintWriter(File, String) IOUtils
getPrintWriter(String) IOUtils
getPrintWriter(String, String) IOUtils
getPrintWriterIgnoringExceptions(String) IOUtils
getPrintWriterOrDie(String) IOUtils
getPriority() MatchedExpression
getPriority() SequencePattern
getPriority() BinaryHeapPriorityQueue
Gets the priority of the highest-priority element of the queue
(without modifying the queue).
getPriority(E) BinaryHeapPriorityQueue
Get the priority of a key.
getPriority(Object) FixedPrioritiesPriorityQueue
Note that this method will be linear (not constant) time in this
implementation! Better not to use it.
getPriority() FixedPrioritiesPriorityQueue
Gets the priority of the highest-priority element of the queue.
getPriority() PriorityQueue
Gets the priority of the highest-priority element of the queue
(without modifying the queue).
getPriority(E) PriorityQueue
Get the priority of a key.
getPriorType(String) CRFLogConditionalObjectiveFunction
getPriorType(String) CRFNonLinearLogConditionalObjectiveFunction
getPriorType(String) CRFNonLinearSecondOrderLogConditionalObjectiveFunction
getProbabilities() SimpleGoodTuring
Returns the probabilities allocated to each type, according to their count
in the underlying collection.
getProbabilityForUnseen() SimpleGoodTuring
Returns the probability allocated to types not seen in the underlying
collection.
getProcessedCoreNLPProperties() XMLToAnnotation
getProcessor() InterruptibleMulticoreWrapper
getProjectAlternation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
getProjectAlternation() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
getProjectAlternation() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
getProjectCover() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
getProjectCover() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
getProjectCover() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
getProjectEquivalence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
getProjectEquivalence() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
getProjectEquivalence() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
getProjectForwardEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
getProjectForwardEntailment() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
getProjectForwardEntailment() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
getProjectIndependence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
getProjectIndependence() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
getProjectIndependence() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
getProjectNegation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
getProjectNegation() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
getProjectNegation() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
getProjectReverseEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
getProjectReverseEntailment() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
getProjectReverseEntailment() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
getPronouns() SpanishVerbStripper.StrippedVerb
getProperties() StanfordCoreNLP
Fetches the Properties object used to construct this Annotator
getPunctClass(String) PunctEquivalenceClasser
Return the equivalence class of the argument.
getQuantification(Dictionaries) Mention
getQuantification(Dictionaries) Mention
getQuantifierSpanBegin() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanBegin = 2;
getQuantifierSpanBegin() CoreNLPProtos.Operator
required int32 quantifierSpanBegin = 2;
getQuantifierSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 quantifierSpanBegin = 2;
getQuantifierSpanEnd() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanEnd = 3;
getQuantifierSpanEnd() CoreNLPProtos.Operator
required int32 quantifierSpanEnd = 3;
getQuantifierSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 quantifierSpanEnd = 3;
getQueueLabel(State, int) FeatureFactory
getQueueLabel(List<Tree>, int, int) FeatureFactory
getQuotationIndex() CoreNLPProtos.Token.Builder
The index of the quotation this token refers to
getQuotationIndex() CoreNLPProtos.Token
The index of the quotation this token refers to
getQuotationIndex() CoreNLPProtos.TokenOrBuilder
The index of the quotation this token refers to
getQuote(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuote(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuote(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteComparator() QuoteAnnotator
getQuoteContainingRange(List<CoreMap>, Pair<Integer, Integer>) BaselineTopSpeakerSieve
getQuoteCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
getQuoteParagraph(CoreMap) Sieve
getQuoteParagraphIndex(Annotation, CoreMap) QuoteAttributionUtils
getQuotes(int) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotes(int) CoreNLPProtos.Section
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotes(int) CoreNLPProtos.SectionOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotes(String) QuoteAnnotator
getQuotesBuilder(int) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesBuilderList() CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesCount() CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesCount() CoreNLPProtos.Section
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesCount() CoreNLPProtos.SectionOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesList() CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesList() CoreNLPProtos.Section
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesList() CoreNLPProtos.SectionOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesOrBuilder(int) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesOrBuilder(int) CoreNLPProtos.Section
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesOrBuilder(int) CoreNLPProtos.SectionOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesOrBuilderList() CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesOrBuilderList() CoreNLPProtos.Section
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getQuotesOrBuilderList() CoreNLPProtos.SectionOrBuilder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
getRadical(char) RadicalMap
What is the primary radical of this char?
getRadius(Interval<Integer>) Interval
getRandomBoolean(Random, double) LearnImportantFeatures
getRandomSequence(SequenceModel) SequenceGibbsSampler
getRandomSubDataset(double, int) Dataset
getRandomSubList(List<T>, int) Util
getRange(int, SUTime.Duration) JollyDayHolidays.JollyHoliday
getRange(int, SUTime.Duration) SUTime.CompositePartialTime
getRange(int, SUTime.Duration) SUTime.Duration
getRange(int, SUTime.Duration) SUTime.ExplicitTemporalSet
getRange(int, SUTime.Duration) SUTime.GroundedTime
getRange(int, SUTime.Duration) SUTime.InexactTime
getRange(int, SUTime.Duration) SUTime.PartialTime
getRange(int, SUTime.Duration) SUTime.PeriodicTemporalSet
getRange(int, SUTime.Duration) SUTime.Range
getRange(int, SUTime.Duration) SUTime.RelativeTime
getRange() SUTime.Temporal
getRange(int) SUTime.Temporal
getRange(int, SUTime.Duration) SUTime.Temporal
getRange(int, SUTime.Duration) SUTime.Time
getRange(int, SUTime.Duration) SUTime.TimeWithRange
getRange() Timex
Gets two Calendars, marking the beginning and ending of this Timex's range.
getRange(Timex) Timex
Gets two Calendars, marking the beginning and ending of this Timex's range.
getRareWordMinFeatureThresh() TaggerConfig
getRareWordThresh() TaggerConfig
getRawByteEnd() AceToken
getRawByteOffset() AceToken
getRawByteStart() AceToken
getReader() MachineReading
getReader() DocumentReader
Returns the reader for the text input source of this DocumentReader.
getReader(String) DocumentReader
Returns a Reader that reads in the given text.
getReader(File) DocumentReader
Returns a Reader that reads in the given file.
getReader(URL) DocumentReader
Returns a Reader that reads in the given URL.
getReader(InputStream) DocumentReader
Returns a Reader that reads in the given InputStream.
getRealEdgesWithL(int, int) HookChart
getRealEdgesWithR(int, int) HookChart
getRecall() EvalUtils.AbstractEvaluator
getRecall() CorefScorer
getRecall(L) MultiClassPrecisionRecallStats
getRecall() MultiClassPrecisionRecallStats
getRecall() PrecisionRecallStats
Returns the current recall: tp/(tp+fn) .
getRecallDescription(int) MultiClassPrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getRecallDescription(int, L) MultiClassPrecisionRecallStats
getRecallDescription(int) PrecisionRecallStats
Returns a String summarizing recall that will print nicely.
getRecallInfo(L) MultiClassPrecisionRecallStats
getRecallInfo() MultiClassPrecisionRecallStats
getRecentDependent(TreeShapedStack<Tree>, FeatureFactory.Transition, int) FeatureFactory
getRegex(String[]) MultiWordStringMatcher
getRegex(String) MultiWordStringMatcher
getRegL1() TaggerConfig
getRegularizerParamRange(double[]) CRFNonLinearLogConditionalObjectiveFunction
getRegularizerParamRange(double[]) HasRegularizerParamRange
getRelatedNodes(TreeGraphNode, TreeGraphNode, HeadFinder) GrammaticalRelation
Given a Tree node t, attempts to
return a list of nodes to which node t has this
grammatical relation, with t as the governor.
getRelation() Mention
getRelation() Mention
getRelation(String) AceDocument
getRelation(RelationMentionFactory, CoreMap, ExtractionObject...) AnnotationUtils
Return the relation that holds between the given entities.
getRelation() CoreNLPProtos.RelationTriple.Builder
The surface form of the relation (required)
getRelation() CoreNLPProtos.RelationTriple
The surface form of the relation (required)
getRelation() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the relation (required)
getRelation(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelation(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelation(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelation() SemanticGraphEdge
getRelation(Interval<E>) FuzzyInterval
getRelation(Interval<E>) Interval
Returns the relationship of this interval to the other interval
The most specific relationship from the following is returned.
getRelationBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationBytes() CoreNLPProtos.RelationTriple.Builder
The surface form of the relation (required)
getRelationBytes() CoreNLPProtos.RelationTriple
The surface form of the relation (required)
getRelationBytes() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the relation (required)
getRelationCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationFlags(Interval<E>) FuzzyInterval
getRelationFlags(Interval<E>) Interval
Return set of flags indicating possible relationships between
this interval and another interval.
getRelationList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationMention(String) AceDocument
getRelationMentions(int) AceDocument
getRelationMentions() AceDocument
getRelationMentions() AceEntityMention
getRelationMentions(CoreMap) AnnotationUtils
getRelationNames() SemgrexMatcher
Returns the set of names for named relations in this pattern.
getRelationOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
getRelationResultsPrinterSet() MachineReading
getRelations(RelationMentionFactory, CoreMap, ExtractionObject...) AnnotationUtils
Return all the relations that holds between the given entities.
getRelationTokens(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
getRelationTokens(int) CoreNLPProtos.RelationTriple
The tokens comprising the relation of the triple
getRelationTokens(int) CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the relation of the triple
getRelationTokensBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
getRelationTokensBuilderList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
getRelationTokensCount() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
getRelationTokensCount() CoreNLPProtos.RelationTriple
The tokens comprising the relation of the triple
getRelationTokensCount() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the relation of the triple
getRelationTokensList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
getRelationTokensList() CoreNLPProtos.RelationTriple
The tokens comprising the relation of the triple
getRelationTokensList() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the relation of the triple
getRelationTokensOrBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
getRelationTokensOrBuilder(int) CoreNLPProtos.RelationTriple
The tokens comprising the relation of the triple
getRelationTokensOrBuilder(int) CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the relation of the triple
getRelationTokensOrBuilderList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
getRelationTokensOrBuilderList() CoreNLPProtos.RelationTriple
The tokens comprising the relation of the triple
getRelationTokensOrBuilderList() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the relation of the triple
getRelativePronouns(int) CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
getRelativePronouns(int) CoreNLPProtos.Mention
repeated int32 relativePronouns = 56;
getRelativePronouns(int) CoreNLPProtos.MentionOrBuilder
repeated int32 relativePronouns = 56;
getRelativePronounsCount() CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
getRelativePronounsCount() CoreNLPProtos.Mention
repeated int32 relativePronouns = 56;
getRelativePronounsCount() CoreNLPProtos.MentionOrBuilder
repeated int32 relativePronouns = 56;
getRelativePronounsList() CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
getRelativePronounsList() CoreNLPProtos.Mention
repeated int32 relativePronouns = 56;
getRelativePronounsList() CoreNLPProtos.MentionOrBuilder
repeated int32 relativePronouns = 56;
getRelevant(L) MultiClassPrecisionRecallExtendedStats
getRelevant() MultiClassPrecisionRecallExtendedStats
getRelevantWords() DepPattern
getRelevantWords() Pattern
getRelevantWords() SurfacePattern
getRelevantWordsBase(Token[], CollectionValuedMap<String, String>) Pattern
getRelevantWordsBase(Token, CollectionValuedMap<String, String>) Pattern
getRelnString(String) SemgrexMatcher
getRemainderInSentence(Annotation, CoreMap) QuoteAttributionUtils
getRemaining1() SemanticGraphUtils.EdgeDiffResult
getRemaining2() SemanticGraphUtils.EdgeDiffResult
getReportEmbedding(Dictionaries) Mention
getReportEmbedding(Dictionaries) Mention
getRepresentative() CoreNLPProtos.CorefChain.Builder
required uint32 representative = 3;
getRepresentative() CoreNLPProtos.CorefChain
required uint32 representative = 3;
getRepresentative() CoreNLPProtos.CorefChainOrBuilder
required uint32 representative = 3;
getRepresentativeMention() CorefChain
Return the most representative mention in the chain.
getRepresentativeMention() CorefCluster
getRepresentativeMention() CorefChain
Return the most representative mention in the chain.
getRepresentativeMention() CorefCluster
getReservedMass() Distribution
getRetrieved(L) MultiClassPrecisionRecallExtendedStats
getRetrieved() MultiClassPrecisionRecallExtendedStats
getReverseMap() ChineseEnglishWordMap
Returns a reversed map of the current map.
getRightChild(int, int) Configuration
getRightChild(int) Configuration
getRightLabelSet(int) Configuration
getRightmostNode(IntervalTree.TreeNode<E, T>) IntervalTree
getRightValency(int) Configuration
getRole() AceMentionArgument
getRoles() AceEventMention
getRoot(int) CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
getRoot(int) CoreNLPProtos.DependencyGraph
repeated uint32 root = 3 [packed = true];
getRoot(int) CoreNLPProtos.DependencyGraphOrBuilder
repeated uint32 root = 3 [packed = true];
getRoot() CoreNLPProtos.SentenceFragment.Builder
optional uint32 root = 2;
getRoot() CoreNLPProtos.SentenceFragment
optional uint32 root = 2;
getRoot() CoreNLPProtos.SentenceFragmentOrBuilder
optional uint32 root = 2;
getRoot() FileTreeModel
getRootCount() CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
getRootCount() CoreNLPProtos.DependencyGraph
repeated uint32 root = 3 [packed = true];
getRootCount() CoreNLPProtos.DependencyGraphOrBuilder
repeated uint32 root = 3 [packed = true];
getRootList() CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
getRootList() CoreNLPProtos.DependencyGraph
repeated uint32 root = 3 [packed = true];
getRootList() CoreNLPProtos.DependencyGraphOrBuilder
repeated uint32 root = 3 [packed = true];
getRoots() SemanticGraph
getRoots(Collection<TypedDependency>) GrammaticalStructure
Return a list of TypedDependencies which are not dependent on any node from the list.
getRule(UnaryRule) UnaryGrammar
getRVFDatum(int) Dataset
getRVFDatum(int) GeneralDataset
getRVFDatum(int) RVFDataset
getRVFDatumId(int) RVFDataset
getRVFDatumSource(int) RVFDataset
getRVFDatumWithId(int) RVFDataset
getSameEdges() SemanticGraphUtils.EdgeDiffResult
getSample(int) AbstractStochasticCachingDiffUpdateFunction
Gets a random sample (this is sampling with replacement).
getSampler(List<IN>) AbstractSequenceClassifier
getScale() UnitPrefix
getScore(List<List<Integer>>, Map<Integer, List<Integer>>) EvalUtils.AbstractEvaluator
getScore(List<List<Integer>>, Map<Integer, List<Integer>>) EvalUtils.B3Evaluator
getScore(List<List<Integer>>, Map<Integer, List<Integer>>) EvalUtils.MUCEvaluator
getScore(CorefScorer.SubScoreType) CorefScorer
getScore() CoreNLPProtos.ParseTree.Builder
optional double score = 5;
getScore() CoreNLPProtos.ParseTree
optional double score = 5;
getScore() CoreNLPProtos.ParseTreeOrBuilder
optional double score = 5;
getScore() CoreNLPProtos.SentenceFragment.Builder
optional double score = 4;
getScore() CoreNLPProtos.SentenceFragment
optional double score = 4;
getScore() CoreNLPProtos.SentenceFragmentOrBuilder
optional double score = 4;
getScore() Alignment
getScore() DeepTree
getScorer() SVMLightClassifierFactory
getScorerPath(Properties) CorefProperties
getScoreWForNode(Tree) DVModel
getSearch() TaggerConfig
getSecondKey() TwoDimensionalMap.Entry
getSectionAuthor() CoreNLPProtos.Sentence.Builder
author of section
getSectionAuthor() CoreNLPProtos.Sentence
author of section
getSectionAuthor() CoreNLPProtos.SentenceOrBuilder
author of section
getSectionAuthor() CoreNLPProtos.Token.Builder
optional string sectionAuthor = 57;
getSectionAuthor() CoreNLPProtos.Token
optional string sectionAuthor = 57;
getSectionAuthor() CoreNLPProtos.TokenOrBuilder
optional string sectionAuthor = 57;
getSectionAuthorBytes() CoreNLPProtos.Sentence.Builder
author of section
getSectionAuthorBytes() CoreNLPProtos.Sentence
author of section
getSectionAuthorBytes() CoreNLPProtos.SentenceOrBuilder
author of section
getSectionAuthorBytes() CoreNLPProtos.Token.Builder
optional string sectionAuthor = 57;
getSectionAuthorBytes() CoreNLPProtos.Token
optional string sectionAuthor = 57;
getSectionAuthorBytes() CoreNLPProtos.TokenOrBuilder
optional string sectionAuthor = 57;
getSectionDate() CoreNLPProtos.Sentence.Builder
date of section
getSectionDate() CoreNLPProtos.Sentence
date of section
getSectionDate() CoreNLPProtos.SentenceOrBuilder
date of section
getSectionDate() CoreNLPProtos.Token.Builder
optional string sectionDate = 58;
getSectionDate() CoreNLPProtos.Token
optional string sectionDate = 58;
getSectionDate() CoreNLPProtos.TokenOrBuilder
optional string sectionDate = 58;
getSectionDateBytes() CoreNLPProtos.Sentence.Builder
date of section
getSectionDateBytes() CoreNLPProtos.Sentence
date of section
getSectionDateBytes() CoreNLPProtos.SentenceOrBuilder
date of section
getSectionDateBytes() CoreNLPProtos.Token.Builder
optional string sectionDate = 58;
getSectionDateBytes() CoreNLPProtos.Token
optional string sectionDate = 58;
getSectionDateBytes() CoreNLPProtos.TokenOrBuilder
optional string sectionDate = 58;
getSectionEndLabel() CoreNLPProtos.Token.Builder
optional string sectionEndLabel = 59;
getSectionEndLabel() CoreNLPProtos.Token
optional string sectionEndLabel = 59;
getSectionEndLabel() CoreNLPProtos.TokenOrBuilder
optional string sectionEndLabel = 59;
getSectionEndLabelBytes() CoreNLPProtos.Token.Builder
optional string sectionEndLabel = 59;
getSectionEndLabelBytes() CoreNLPProtos.Token
optional string sectionEndLabel = 59;
getSectionEndLabelBytes() CoreNLPProtos.TokenOrBuilder
optional string sectionEndLabel = 59;
getSectionIndex() CoreNLPProtos.Sentence.Builder
section index for this sentence's section
getSectionIndex() CoreNLPProtos.Sentence
section index for this sentence's section
getSectionIndex() CoreNLPProtos.SentenceOrBuilder
section index for this sentence's section
getSectionName() CoreNLPProtos.Sentence.Builder
name of section
getSectionName() CoreNLPProtos.Sentence
name of section
getSectionName() CoreNLPProtos.SentenceOrBuilder
name of section
getSectionName() CoreNLPProtos.Token.Builder
Section info
getSectionName() CoreNLPProtos.Token
Section info
getSectionName() CoreNLPProtos.TokenOrBuilder
Section info
getSectionNameBytes() CoreNLPProtos.Sentence.Builder
name of section
getSectionNameBytes() CoreNLPProtos.Sentence
name of section
getSectionNameBytes() CoreNLPProtos.SentenceOrBuilder
name of section
getSectionNameBytes() CoreNLPProtos.Token.Builder
Section info
getSectionNameBytes() CoreNLPProtos.Token
Section info
getSectionNameBytes() CoreNLPProtos.TokenOrBuilder
Section info
getSectionQuoted() CoreNLPProtos.Sentence.Builder
is this sentence in an xml quote in a post
getSectionQuoted() CoreNLPProtos.Sentence
is this sentence in an xml quote in a post
getSectionQuoted() CoreNLPProtos.SentenceOrBuilder
is this sentence in an xml quote in a post
getSections(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSections(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSections(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSectionsOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
getSeed(Properties) HybridCorefProperties
getSeedLabelDictionary() ConstantsAndVariables
getSegmenter(Properties) ArabicSegmenter
Train a new segmenter or load an trained model from file.
getSegmenterDataFromFile(String, Options) ChineseLexiconAndWordSegmenter
getSegmenterDataFromSerializedFile(String) ChineseLexiconAndWordSegmenter
getSelectedMatch() MatchesPanel
Get the selected tree and its corresponding matched parts
getSemGrexPatternNodes(SemanticGraph, List<String>, Collection<String>, Collection<IntPair>, SemgrexPattern, boolean, Collection<ExtractedPhrase>, boolean, Predicate<CoreLabel>) ExtractPhraseFromPattern
getSentAveF1() AbstractEval
getSentence() KBPRelationExtractor.KBPInput
getSentence(int) AceDocument
getSentence(AceDocument) AceRelationMention
Fetches the id of the sentence that contains this mention
getSentence() AceToken
getSentence(CoreMap, int) AnnotationUtils
getSentence() ExtractionObject
getSentence(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentence(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentence(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceBegin() CoreNLPProtos.Quote.Builder
optional uint32 sentenceBegin = 5;
getSentenceBegin() CoreNLPProtos.Quote
optional uint32 sentenceBegin = 5;
getSentenceBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 sentenceBegin = 5;
getSentenceBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceCount() AceDocument
getSentenceCount() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceCount() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceCount() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceDelimiter() TaggerConfig
This returns the sentence delimiter used when tokenizing text
using the tokenizer requested in this config.
getSentenceEnd() CoreNLPProtos.Quote.Builder
optional uint32 sentenceEnd = 6;
getSentenceEnd() CoreNLPProtos.Quote
optional uint32 sentenceEnd = 6;
getSentenceEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 sentenceEnd = 6;
getSentenceID() CoreNLPProtos.Sentence.Builder
Useful when storing sentences (e.g.
getSentenceID() CoreNLPProtos.Sentence
Useful when storing sentences (e.g.
getSentenceID() CoreNLPProtos.SentenceOrBuilder
Useful when storing sentences (e.g.
getSentenceId() TreeFromFile
getSentenceIDBytes() CoreNLPProtos.Sentence.Builder
Useful when storing sentences (e.g.
getSentenceIDBytes() CoreNLPProtos.Sentence
Useful when storing sentences (e.g.
getSentenceIDBytes() CoreNLPProtos.SentenceOrBuilder
Useful when storing sentences (e.g.
getSentenceIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 sentenceIndex = 10;
getSentenceIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 sentenceIndex = 10;
getSentenceIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 sentenceIndex = 10;
getSentenceIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.DependencyGraph.Node
required uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.DependencyGraph.NodeOrBuilder
required uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.NERMention.Builder
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.NERMention
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.NERMentionOrBuilder
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.Sentence.Builder
optional uint32 sentenceIndex = 4;
getSentenceIndex() CoreNLPProtos.Sentence
optional uint32 sentenceIndex = 4;
getSentenceIndex() CoreNLPProtos.SentenceOrBuilder
optional uint32 sentenceIndex = 4;
getSentenceIndex() CoreNLPProtos.TokenLocation.Builder
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.TokenLocation
optional uint32 sentenceIndex = 1;
getSentenceIndex() CoreNLPProtos.TokenLocationOrBuilder
optional uint32 sentenceIndex = 1;
getSentenceIndexes(int) CoreNLPProtos.Section.Builder
repeated uint32 sentenceIndexes = 4;
getSentenceIndexes(int) CoreNLPProtos.Section
repeated uint32 sentenceIndexes = 4;
getSentenceIndexes(int) CoreNLPProtos.SectionOrBuilder
repeated uint32 sentenceIndexes = 4;
getSentenceIndexesCount() CoreNLPProtos.Section.Builder
repeated uint32 sentenceIndexes = 4;
getSentenceIndexesCount() CoreNLPProtos.Section
repeated uint32 sentenceIndexes = 4;
getSentenceIndexesCount() CoreNLPProtos.SectionOrBuilder
repeated uint32 sentenceIndexes = 4;
getSentenceIndexesList() CoreNLPProtos.Section.Builder
repeated uint32 sentenceIndexes = 4;
getSentenceIndexesList() CoreNLPProtos.Section
repeated uint32 sentenceIndexes = 4;
getSentenceIndexesList() CoreNLPProtos.SectionOrBuilder
repeated uint32 sentenceIndexes = 4;
getSentencelessToken(int) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessToken(int) CoreNLPProtos.Document
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessToken(int) CoreNLPProtos.DocumentOrBuilder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenBuilder(int) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenBuilderList() CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenCount() CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenCount() CoreNLPProtos.Document
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenCount() CoreNLPProtos.DocumentOrBuilder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenList() CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenList() CoreNLPProtos.Document
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenList() CoreNLPProtos.DocumentOrBuilder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenOrBuilder(int) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenOrBuilder(int) CoreNLPProtos.Document
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenOrBuilderList() CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenOrBuilderList() CoreNLPProtos.Document
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentencelessTokenOrBuilderList() CoreNLPProtos.DocumentOrBuilder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
getSentenceList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceNum() CoreNLPProtos.IndexedWord.Builder
optional uint32 sentenceNum = 1;
getSentenceNum() CoreNLPProtos.IndexedWord
optional uint32 sentenceNum = 1;
getSentenceNum() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 sentenceNum = 1;
getSentenceOrBuilder(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilder(int) CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilder(int) CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilderList() CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilderList() CoreNLPProtos.Document
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentenceOrBuilderList() CoreNLPProtos.DocumentOrBuilder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
getSentences() AceDocument
getSentences(Map<E, Set<String>>) ScorePhrases
getSentenceSize() Configuration
getSentenceWordLists() CoNLLDocumentReader.CoNLLDocument
getSentenceWordLists() CoNLL2011DocumentReader.Document
getSentenceWords(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWords(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWords(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsCount() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsCount() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsCount() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilder(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilder(int) CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilder(int) CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilderList() CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilderList() CoreNLPProtos.Mention
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentenceWordsOrBuilderList() CoreNLPProtos.MentionOrBuilder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
getSentiment() CoreNLPProtos.ParseTree.Builder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
getSentiment() CoreNLPProtos.ParseTree
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
getSentiment() CoreNLPProtos.ParseTreeOrBuilder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
getSentiment() CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
getSentiment() CoreNLPProtos.Sentence
optional string sentiment = 33;
getSentiment() CoreNLPProtos.SentenceOrBuilder
optional string sentiment = 33;
getSentiment() CoreNLPProtos.Token.Builder
The final sentiment of the sentence
getSentiment() CoreNLPProtos.Token
The final sentiment of the sentence
getSentiment() CoreNLPProtos.TokenOrBuilder
The final sentiment of the sentence
getSentimentBytes() CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
getSentimentBytes() CoreNLPProtos.Sentence
optional string sentiment = 33;
getSentimentBytes() CoreNLPProtos.SentenceOrBuilder
optional string sentiment = 33;
getSentimentBytes() CoreNLPProtos.Token.Builder
The final sentiment of the sentence
getSentimentBytes() CoreNLPProtos.Token
The final sentiment of the sentence
getSentimentBytes() CoreNLPProtos.TokenOrBuilder
The final sentiment of the sentence
getSentNum() CoreNLPProtos.Mention.Builder
optional uint32 sentNum = 17;
getSentNum() CoreNLPProtos.Mention
optional uint32 sentNum = 17;
getSentNum() CoreNLPProtos.MentionOrBuilder
optional uint32 sentNum = 17;
getSentsForQuoteParagraphs(Annotation, CoreMap) QuoteAttributionUtils
getSentsInParagraph(Annotation, int) QuoteAttributionUtils
getSequenceMatchResultExtractor() Env
getSequenceModel(List<IN>) AbstractSequenceClassifier
getSequenceModel(List<IN>) CRFClassifier
getSequenceModel(List<IN>) CMMClassifier
getSequencePatternExpr(String, boolean) Env
getSerializedSize() CoreNLPProtos.CorefChain.CorefMention
getSerializedSize() CoreNLPProtos.CorefChain
getSerializedSize() CoreNLPProtos.DependencyGraph.Edge
getSerializedSize() CoreNLPProtos.DependencyGraph
getSerializedSize() CoreNLPProtos.DependencyGraph.Node
getSerializedSize() CoreNLPProtos.Document
getSerializedSize() CoreNLPProtos.Entity
getSerializedSize() CoreNLPProtos.IndexedWord
getSerializedSize() CoreNLPProtos.MapIntString
getSerializedSize() CoreNLPProtos.MapStringString
getSerializedSize() CoreNLPProtos.Mention
getSerializedSize() CoreNLPProtos.NERMention
getSerializedSize() CoreNLPProtos.Operator
getSerializedSize() CoreNLPProtos.ParseTree
getSerializedSize() CoreNLPProtos.Polarity
getSerializedSize() CoreNLPProtos.Quote
getSerializedSize() CoreNLPProtos.Relation
getSerializedSize() CoreNLPProtos.RelationTriple
getSerializedSize() CoreNLPProtos.Section
getSerializedSize() CoreNLPProtos.Sentence
getSerializedSize() CoreNLPProtos.SentenceFragment
getSerializedSize() CoreNLPProtos.Span
getSerializedSize() CoreNLPProtos.SpeakerInfo
getSerializedSize() CoreNLPProtos.Timex
getSerializedSize() CoreNLPProtos.Token
getSerializedSize() CoreNLPProtos.TokenLocation
getServer() StanfordCoreNLPServer
Returns the implementing Http server.
getSetWordsAsJson(Map<String, Counter<CandidatePhrase>>) ConstantsAndVariables
getSGML() TaggerConfig
getShortClassName(Object) StringUtils
Returns a short class name for an object.
getShortestDirectedPathEdges(IndexedWord, IndexedWord) SemanticGraph
getShortestDirectedPathNodes(IndexedWord, IndexedWord) SemanticGraph
Returns the shortest directed path between two edges in the graph.
getShortestPath(Graph<V, E>, V, V, boolean) DijkstraShortestPath
getShortestPath(V, V) DirectedMultiGraph
direction insensitive (the paths can go "up" or through the parents)
getShortestPath(V, V, boolean) DirectedMultiGraph
can specify the direction sensitivity
getShortestPathEdges(V, V) DirectedMultiGraph
getShortestPathEdges(V, V, boolean) DirectedMultiGraph
getShortestUndirectedPathEdges(IndexedWord, IndexedWord) SemanticGraph
getShortestUndirectedPathNodes(IndexedWord, IndexedWord) SemanticGraph
Returns the nodes in the shortest undirected path between two edges in the
graph.
getShortName() GrammaticalRelation
getSiblings(IndexedWord) SemanticGraph
Method for getting the siblings of a particular node.
getSieves(Properties) HybridCorefProperties
getSigma() LinearClassifierFactory
getSigma() LogPrior
getSigmaSquared() LogPrior
getSigmaSquared() TaggerConfig
getSigmaSquaredM() LogPrior
getSignature() RelationMention
getSignature(String, int) ArabicUnknownWordModel
6-9 were added for Arabic.
getSignature(String, int) BaseUnknownWordModel
Signature for a specific word; loc parameter is ignored.
getSignature(String, int) ChineseUnknownWordModel
getSignature(String, int) EnglishUnknownWordModel
This routine returns a String that is the "signature" of the class of a
word.
getSignature(String, int) FrenchUnknownWordModel
TODO Can add various signatures, setting the signature via Options.
getSignature(String, int) SpanishUnknownWordModel
TODO Can add various signatures, setting the signature via Options.
getSignature(String, int) UnknownWordModel
This routine returns a String that is the "signature" of the class of a
word.
getSignature() CoreNLPProtos.Relation.Builder
optional string signature = 8;
getSignature() CoreNLPProtos.Relation
optional string signature = 8;
getSignature() CoreNLPProtos.RelationOrBuilder
optional string signature = 8;
getSignature(String, Properties, PropertiesUtils.Property[]) PropertiesUtils
getSignature(String, Properties) PropertiesUtils
getSignatureBytes() CoreNLPProtos.Relation.Builder
optional string signature = 8;
getSignatureBytes() CoreNLPProtos.Relation
optional string signature = 8;
getSignatureBytes() CoreNLPProtos.RelationOrBuilder
optional string signature = 8;
getSignatureIndex(int, int, String) ArabicUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) BaseUnknownWordModel
getSignatureIndex(int, int, String) EnglishUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) FrenchUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) SpanishUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where
the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) UnknownWordModel
Returns an unknown word signature as an integer index rather than as a String.
getSimple() Token
getSimplerTokens(Token[]) SurfacePattern
getSimplerTokensNext() SurfacePattern
getSimplerTokensPrev() SurfacePattern
getSingleParent(CoreMap) EventMention
getSingletonFeatures(Dictionaries) Mention
Returns the features used by the singleton predictor (logistic
classifier) to decide whether the mention belongs to a singleton entity
getSingletonFeatures(Dictionaries) Mention
Returns the features used by the singleton predictor (logistic
classifier) to decide whether the mention belongs to a singleton entity
getSingletonPredictorFromSerializedFile(String) SieveCoreferenceSystem
getSize() PairsHolder
getSize() ReadDataTagged
Returns the number of tokens in the data read, which is the number of words
plus one end sentence token per sentence.
getSize() TTags
getSkipAntecedentType(Properties) HybridCorefProperties
getSkipMentionType(Properties) HybridCorefProperties
getSlice(int) SimpleTensor
Returns the SimpleMatrix at slice.
getSmallerLabel(int) CRFLabel
getSortedEntries(Properties) PropertiesUtils
getSortedMentions(Document) CorefUtils
getSource() DFSATransition
getSource() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 source = 1;
getSource() CoreNLPProtos.DependencyGraph.Edge
required uint32 source = 1;
getSource() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
required uint32 source = 1;
getSource() SemanticGraphEdge
getSource() IntPair
Return the first element of the pair
getSource() IntQuadruple
getSource() IntTriple
getSource() IntUni
getSourceCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 sourceCopy = 5;
getSourceCopy() CoreNLPProtos.DependencyGraph.Edge
optional uint32 sourceCopy = 5;
getSourceCopy() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional uint32 sourceCopy = 5;
getSourceNode() TransducerGraph.Arc
getSpan(ExtractionObject...) ExtractionObject
Returns the smallest span that covers the extent of all these objects
getSpan() CoreNLPProtos.Token.Builder
The span of a leaf node of a tree
getSpan() CoreNLPProtos.Token
The span of a leaf node of a tree
getSpan() CoreNLPProtos.TokenOrBuilder
The span of a leaf node of a tree
getSpan() Tree
Returns SpanAnnotation of this node, or null if annotation is not assigned.
getSpanBuilder() CoreNLPProtos.Token.Builder
The span of a leaf node of a tree
getSpanOrBuilder() CoreNLPProtos.Token.Builder
The span of a leaf node of a tree
getSpanOrBuilder() CoreNLPProtos.Token
The span of a leaf node of a tree
getSpanOrBuilder() CoreNLPProtos.TokenOrBuilder
The span of a leaf node of a tree
getSpeaker() CoreNLPProtos.Quote.Builder
optional string speaker = 17;
getSpeaker() CoreNLPProtos.Quote
optional string speaker = 17;
getSpeaker() CoreNLPProtos.QuoteOrBuilder
optional string speaker = 17;
getSpeaker() CoreNLPProtos.Token.Builder
The speaker speaking this word
getSpeaker() CoreNLPProtos.Token
The speaker speaking this word
getSpeaker() CoreNLPProtos.TokenOrBuilder
The speaker speaking this word
getSpeakerBytes() CoreNLPProtos.Quote.Builder
optional string speaker = 17;
getSpeakerBytes() CoreNLPProtos.Quote
optional string speaker = 17;
getSpeakerBytes() CoreNLPProtos.QuoteOrBuilder
optional string speaker = 17;
getSpeakerBytes() CoreNLPProtos.Token.Builder
The speaker speaking this word
getSpeakerBytes() CoreNLPProtos.Token
The speaker speaking this word
getSpeakerBytes() CoreNLPProtos.TokenOrBuilder
The speaker speaking this word
getSpeakerClusterId(Document, String) CorefRules
Given the name of a speaker, returns the coref cluster id it belongs to (-1 if no cluster)
getSpeakerClusterId(Document, String) Rules
Given the name of a speaker, returns the coref cluster id it belongs to (-1 if no cluster)
getSpeakerDesc() SpeakerInfo
getSpeakerDesc() SpeakerInfo
getSpeakerInfo(String) Document
getSpeakerInfo(String) Document
getSpeakerInfo() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfo() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfo() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoOrBuilder() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoOrBuilder() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerInfoOrBuilder() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
getSpeakerName() SpeakerInfo
getSpeakerName() SpeakerInfo
getSpeakerName() CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
getSpeakerName() CoreNLPProtos.SpeakerInfo
optional string speakerName = 1;
getSpeakerName() CoreNLPProtos.SpeakerInfoOrBuilder
optional string speakerName = 1;
getSpeakerNameBytes() CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
getSpeakerNameBytes() CoreNLPProtos.SpeakerInfo
optional string speakerName = 1;
getSpeakerNameBytes() CoreNLPProtos.SpeakerInfoOrBuilder
optional string speakerName = 1;
getSpeakerNameStrings() SpeakerInfo
getSpeakerNameStrings() SpeakerInfo
getSpeakerSieve() CoreNLPProtos.Quote.Builder
optional string speakerSieve = 18;
getSpeakerSieve() CoreNLPProtos.Quote
optional string speakerSieve = 18;
getSpeakerSieve() CoreNLPProtos.QuoteOrBuilder
optional string speakerSieve = 18;
getSpeakerSieveBytes() CoreNLPProtos.Quote.Builder
optional string speakerSieve = 18;
getSpeakerSieveBytes() CoreNLPProtos.Quote
optional string speakerSieve = 18;
getSpeakerSieveBytes() CoreNLPProtos.QuoteOrBuilder
optional string speakerSieve = 18;
getSpecific() GrammaticalRelation
getSpi(String) DisabledPreferences
getSplit() FastExactAutomatonMinimizer
getSplitCategories(Treebank, double, TreebankLanguagePack) ParentAnnotationStats
Call this method to get a String array of categories to split on.
getSplitCategories(Treebank, boolean, int, double, double, TreebankLanguagePack) ParentAnnotationStats
Call this method to get a String array of categories to split on.
getSplitPattern() Mention
getSplitPattern() Mention
getStack(int) Configuration
Get the sentence index of the kth word on the stack.
getStackLabel(TreeShapedStack<Tree>, int, FeatureFactory.Transition...) FeatureFactory
getStackSize() Configuration
getStackTraceString(Throwable) SystemUtils
Returns the string value of the stack trace for the given Throwable.
getStandardTemporalType() SUTime.Temporal
getStart() RobustTokenizer.WordToken
getStartDate() ISODateInstance
Returns this date or if it is a range,
the date the range starts.
getStartIndex() CoreNLPProtos.Mention.Builder
optional uint32 startIndex = 7;
getStartIndex() CoreNLPProtos.Mention
optional uint32 startIndex = 7;
getStartIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 startIndex = 7;
getStartNode() TransducerGraph
getStartWordVector() Embedding
getStartWordVector() DVModel
getStateSplitCount(Tree) SplittingGrammarExtractor
getStateSplitCount(String) SplittingGrammarExtractor
getStaticWordEmbedding(String) EmbeddingExtractor
getStatus() OpenPageDialog
getStem() SpanishVerbStripper.StrippedVerb
Return the normalized stem of the verb -- the way it would appear in
isolation without attached pronouns.
getStopProb(IntDependency) MLEDependencyGrammar
Return the probability (as a real number between 0 and 1) of stopping
rather than generating another argument at this position.
getStopWords() ConstantsAndVariables
getStoreWay() PatternsForEachToken
getStr() Configuration
getString(Class<KEY>) AbstractCoreLabel
Return a non-null String value for a key.
getString(Class<KEY>, String) AbstractCoreLabel
getString(Class<KEY>) CoreLabel
Return a non-null String value for a key.
getString(Class<KEY>, String) CoreLabel
getString(Class<KEY>) IndexedWord
getString(Class<KEY>, String) IndexedWord
getString() ComplexNodePattern.StringAnnotationPattern
getString(Properties, String, String) PropertiesUtils
Get the value of a property.
getStringArray(Properties, String) PropertiesUtils
Loads a comma-separated list of strings from Properties.
getStringArray(Properties, String, String[]) PropertiesUtils
getStringMatchResultExtractor() Env
getStringPattern(String) Env
getStringRepresentationComparator() Comparators
A Comparator that compares objects by comparing their
String representations, as determined by invoking
toString() on the objects in question.
getSubgraphVertices(IndexedWord) SemanticGraph
Returns all nodes reachable from root.
getSubject() CoreNLPProtos.RelationTriple.Builder
The surface form of the subject
getSubject() CoreNLPProtos.RelationTriple
The surface form of the subject
getSubject() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the subject
getSubjectBytes() CoreNLPProtos.RelationTriple.Builder
The surface form of the subject
getSubjectBytes() CoreNLPProtos.RelationTriple
The surface form of the subject
getSubjectBytes() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the subject
getSubjectSpan() KBPRelationExtractor.KBPInput
getSubjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 subjectSpanBegin = 4;
getSubjectSpanBegin() CoreNLPProtos.Operator
required int32 subjectSpanBegin = 4;
getSubjectSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 subjectSpanBegin = 4;
getSubjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 subjectSpanEnd = 5;
getSubjectSpanEnd() CoreNLPProtos.Operator
required int32 subjectSpanEnd = 5;
getSubjectSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 subjectSpanEnd = 5;
getSubjectText() KBPRelationExtractor.KBPInput
getSubjectTokens(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
getSubjectTokens(int) CoreNLPProtos.RelationTriple
The tokens comprising the subject of the triple
getSubjectTokens(int) CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the subject of the triple
getSubjectTokensBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
getSubjectTokensBuilderList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
getSubjectTokensCount() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
getSubjectTokensCount() CoreNLPProtos.RelationTriple
The tokens comprising the subject of the triple
getSubjectTokensCount() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the subject of the triple
getSubjectTokensList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
getSubjectTokensList() CoreNLPProtos.RelationTriple
The tokens comprising the subject of the triple
getSubjectTokensList() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the subject of the triple
getSubjectTokensOrBuilder(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
getSubjectTokensOrBuilder(int) CoreNLPProtos.RelationTriple
The tokens comprising the subject of the triple
getSubjectTokensOrBuilder(int) CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the subject of the triple
getSubjectTokensOrBuilderList() CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
getSubjectTokensOrBuilderList() CoreNLPProtos.RelationTriple
The tokens comprising the subject of the triple
getSubjectTokensOrBuilderList() CoreNLPProtos.RelationTripleOrBuilder
The tokens comprising the subject of the triple
getSubListIndex(String[], String[], String[], Set<String>, HashSet<String>, int, boolean, boolean) GetPatternsFromDataMultiClass
If l1 is a part of l2, it finds the starting index of l1 in l2 If l1 is not
a sub-array of l2, then it returns -1 note that l2 should have the exact
elements and order as in l1
getSubListIndex(Object[], Object[]) ArrayUtils
getSubListIndex(Object[], Object[], Predicate<Pair>) ArrayUtils
If tofind is a part of tokens, it finds the ****starting index***** of tofind in tokens
If tofind is not a sub-array of tokens, then it returns null
note that tokens sublist should have the exact elements and order as in tofind
getSubTreeEdges(IndexedWord, SemanticGraph, SemanticGraphEdge) SemanticGraphUtils
Given a starting vertice, grabs the subtree encapsulated by portion of the semantic graph, excluding
a given edge.
getSubTreeEdgesHelper(IndexedWord, SemanticGraph, Set<SemanticGraphEdge>) SemanticGraphUtils
getSubtype() AceEntity
getSubtype() AceEvent
getSubtype() AceRelation
getSubType() ExtractionObject
getSubtype() CoreNLPProtos.Entity.Builder
Implicit
uint32 sentence @see implicit in sentence
getSubtype() CoreNLPProtos.Entity
Implicit
uint32 sentence @see implicit in sentence
getSubtype() CoreNLPProtos.EntityOrBuilder
Implicit
uint32 sentence @see implicit in sentence
getSubtype() CoreNLPProtos.Relation.Builder
Implicit
uint32 sentence @see implicit in sentence
getSubtype() CoreNLPProtos.Relation
Implicit
uint32 sentence @see implicit in sentence
getSubtype() CoreNLPProtos.RelationOrBuilder
Implicit
uint32 sentence @see implicit in sentence
getSubtypeBytes() CoreNLPProtos.Entity.Builder
Implicit
uint32 sentence @see implicit in sentence
getSubtypeBytes() CoreNLPProtos.Entity
Implicit
uint32 sentence @see implicit in sentence
getSubtypeBytes() CoreNLPProtos.EntityOrBuilder
Implicit
uint32 sentence @see implicit in sentence
getSubtypeBytes() CoreNLPProtos.Relation.Builder
Implicit
uint32 sentence @see implicit in sentence
getSubtypeBytes() CoreNLPProtos.Relation
Implicit
uint32 sentence @see implicit in sentence
getSubtypeBytes() CoreNLPProtos.RelationOrBuilder
Implicit
uint32 sentence @see implicit in sentence
getSuffixBe() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' suffix
getSuffixBe() CoreNLPProtos.RelationTriple
If true, this relation string is missing a 'be' suffix
getSuffixBe() CoreNLPProtos.RelationTripleOrBuilder
If true, this relation string is missing a 'be' suffix
getSuffixes() AceToken
getSuffixOf() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'of' prefix
getSuffixOf() CoreNLPProtos.RelationTriple
If true, this relation string is missing a 'of' prefix
getSuffixOf() CoreNLPProtos.RelationTripleOrBuilder
If true, this relation string is missing a 'of' prefix
getSupportedDurationFields(Partial) JodaTimeUtils
getSvmLightVerbosity() SVMLightClassifierFactory
getSymbol() Unit
getSymbol() UnitPrefix
getSymbol() SUTime.TimexMod
getSymbols() FastExactAutomatonMinimizer
getSyntacticHeadToken() EntityMention
getSyntacticHeadTokenPosition() EntityMention
getSyntacticHeadTree() EntityMention
getSystemFreeMemory(boolean) MemoryMonitor
getSystemSwapsPerSec() MemoryMonitor
getSystemUsedSwap() MemoryMonitor
getTable() CorpusDictionary
getTag(String) ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
getTag(String) MorphoFeatures
Build a POS tag consisting of a base category plus inflectional features.
getTag() PhraseTable.Phrase
getTag(String) Tags
getTag(String, String) ASBCunkDict
getTag(String, String) CTBunkDict
Returns "1" as true if the dictionary listed this word with this tag,
and "0" otherwise.
getTag(int) MaxentTagger
getTag(int) TTags
getTag(String, String) CorpusChar
getTagElementsFromFile(File, String) XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTagElementTriplesFromFile(File, String) XMLUtils
Returns the elements in the given file with the given tag associated with
the text content of the two previous siblings and two next siblings.
getTagElementTriplesFromFileNumBounded(File, String, int) XMLUtils
Returns the elements in the given file with the given tag associated with
the text content of the previous and next siblings up to max numIncludedSiblings.
getTagElementTriplesFromFileNumBoundedSAXException(File, String, int) XMLUtils
Returns the elements in the given file with the given tag associated with
the text content of the previous and next siblings up to max numIncludedSiblings.
getTagElementTriplesFromFileSAXException(File, String) XMLUtils
Returns the elements in the given file with the given tag associated with
the text content of the two previous siblings and two next siblings.
getTaggerFeatures() TaggerExperiments
getTagIndex(String) MaxentTagger
Will return the index of a tag if known, -1 if not already known
getTagInside() TaggerConfig
Return a regex of XML elements to tag inside of.
getTagPre(String, String) CtbDict
getTags() CMMClassifier
Returns the Set of entities recognized by this Classifier.
getTags() Expression
Returns tags associated with this expression.
getTags() Expressions.TypedExpression
getTags() Expressions.WrappedExpression
getTags() Tags
getTags(String) Dictionary
getTagScore() EvaluateTreebank
getTagSeparator(Properties) TaggedFileRecord
getTagSeparator() TaggerConfig
getTagSuf(String, String) CtbDict
getTagType(String) LabeledChunkIdentifier
getTarget() DFSATransition
getTarget() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 target = 2;
getTarget() CoreNLPProtos.DependencyGraph.Edge
required uint32 target = 2;
getTarget() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
required uint32 target = 2;
getTarget() SemanticGraphEdge
getTarget() IntPair
Return the second element of the pair
getTarget() IntQuadruple
getTarget() IntTriple
getTarget2() IntQuadruple
getTargetCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 targetCopy = 6;
getTargetCopy() CoreNLPProtos.DependencyGraph.Edge
optional uint32 targetCopy = 6;
getTargetCopy() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional uint32 targetCopy = 6;
getTargetNode() TransducerGraph.Arc
getTargets() ComplexNodePattern.StringInSetAnnotationPattern
getTemperature(int) CoolingSchedule
getTemporal(String) SUTime.TimeIndex
getTemporal(int) SUTime.TimeIndex
getTemporal() TimeExpression
getTemporalArg() SUTime.RelativeTime
getTemporalExpr(String) SUTime.TimeIndex
getTemporalExpr(int) SUTime.TimeIndex
getTemporalFunc(int) SUTime.TimeIndex
getTemporalOp() SUTime.RelativeTime
getTense() AceEvent
getTensorForNode(Tree) SentimentModel
getTerminal(Tree, int) Trees
gets the nth terminal in tree.
getTestDataPath(Properties) CorefProperties
getText() AceCharSeq
getText() MatchedExpression
getText() PhraseTable.Phrase
getText() CoreNLPProtos.Document.Builder
required string text = 1;
getText() CoreNLPProtos.Document
required string text = 1;
getText() CoreNLPProtos.DocumentOrBuilder
required string text = 1;
getText() CoreNLPProtos.Quote.Builder
optional string text = 1;
getText() CoreNLPProtos.Quote
optional string text = 1;
getText() CoreNLPProtos.QuoteOrBuilder
optional string text = 1;
getText() CoreNLPProtos.Sentence.Builder
Only needed if we're only saving the sentence.
getText() CoreNLPProtos.Sentence
Only needed if we're only saving the sentence.
getText() CoreNLPProtos.SentenceOrBuilder
Only needed if we're only saving the sentence.
getText() CoreNLPProtos.Timex.Builder
optional string text = 3;
getText() CoreNLPProtos.Timex
optional string text = 3;
getText() CoreNLPProtos.TimexOrBuilder
optional string text = 3;
getText(Label) UnnamedDependency
getTextBytes() CoreNLPProtos.Document.Builder
required string text = 1;
getTextBytes() CoreNLPProtos.Document
required string text = 1;
getTextBytes() CoreNLPProtos.DocumentOrBuilder
required string text = 1;
getTextBytes() CoreNLPProtos.Quote.Builder
optional string text = 1;
getTextBytes() CoreNLPProtos.Quote
optional string text = 1;
getTextBytes() CoreNLPProtos.QuoteOrBuilder
optional string text = 1;
getTextBytes() CoreNLPProtos.Sentence.Builder
Only needed if we're only saving the sentence.
getTextBytes() CoreNLPProtos.Sentence
Only needed if we're only saving the sentence.
getTextBytes() CoreNLPProtos.SentenceOrBuilder
Only needed if we're only saving the sentence.
getTextBytes() CoreNLPProtos.Timex.Builder
optional string text = 3;
getTextBytes() CoreNLPProtos.Timex
optional string text = 3;
getTextBytes() CoreNLPProtos.TimexOrBuilder
optional string text = 3;
getTextContent(CoreMap, Span) AnnotationUtils
Fetches the sentence text in a given token span
getTextContentFromTagsFromFile(File, String) XMLUtils
Returns the text content of all nodes in the given file with the given tag.
getTextPattern() TimeFormatter.CustomDateFormatExtractor
getTfid(SUTime.TimeIndex) SUTime.Temporal
getTfidString(SUTime.TimeIndex) SUTime.Temporal
getThreadBatches(List<E>, int) GetPatternsFromDataMultiClass
getThreadCounts(Properties) HybridCorefProperties
getTid() CoreNLPProtos.Timex.Builder
optional string tid = 5;
getTid() CoreNLPProtos.Timex
optional string tid = 5;
getTid() CoreNLPProtos.TimexOrBuilder
optional string tid = 5;
getTid(SUTime.TimeIndex) SUTime.Temporal
getTidBytes() CoreNLPProtos.Timex.Builder
optional string tid = 5;
getTidBytes() CoreNLPProtos.Timex
optional string tid = 5;
getTidBytes() CoreNLPProtos.TimexOrBuilder
optional string tid = 5;
getTidString(SUTime.TimeIndex) SUTime.Temporal
getTime() JollyDayHolidays.JollyHoliday
getTime() SUTime.Duration
getTime() SUTime.ExplicitTemporalSet
getTime() SUTime.InexactTime
getTime() SUTime.PeriodicTemporalSet
getTime() SUTime.Range
getTime() SUTime.Temporal
getTime() SUTime.Time
getTimeLabel() SUTime.Temporal
getTimestampString(String) SystemUtils
Returns a String representing the current date and time in the given
format.
getTimestampString() SystemUtils
Returns a String representing the current date and time in the format
"20071022-140522".
getTimex() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimex() CoreNLPProtos.NERMention
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimex() CoreNLPProtos.NERMentionOrBuilder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexAttributes(SUTime.TimeIndex) SUTime.PeriodicTemporalSet
getTimexAttributes(SUTime.TimeIndex) SUTime.Range
getTimexAttributes(SUTime.TimeIndex) SUTime.RelativeTime
getTimexAttributes(SUTime.TimeIndex) SUTime.Temporal
getTimexBuilder() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexOrBuilder() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexOrBuilder() CoreNLPProtos.NERMention
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexOrBuilder() CoreNLPProtos.NERMentionOrBuilder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
getTimexType() SUTime.CompositePartialTime
getTimexType() SUTime.Duration
getTimexType() SUTime.PartialTime
getTimexType() SUTime.Range
getTimexType() SUTime.StandardTemporalType
getTimexType() SUTime.Temporal
getTimexType() SUTime.TemporalSet
getTimexType() SUTime.Time
getTimexValue() CoreNLPProtos.Token.Builder
The time this word refers to
getTimexValue() CoreNLPProtos.Token
The time this word refers to
getTimexValue() CoreNLPProtos.TokenOrBuilder
The time this word refers to
getTimexValue() SUTime.Temporal
getTimexValueBuilder() CoreNLPProtos.Token.Builder
The time this word refers to
getTimexValueOrBuilder() CoreNLPProtos.Token.Builder
The time this word refers to
getTimexValueOrBuilder() CoreNLPProtos.Token
The time this word refers to
getTimexValueOrBuilder() CoreNLPProtos.TokenOrBuilder
The time this word refers to
getTLPParams() ParserGrammar
getTLPParams() LexicalizedParser
getTLPParams() ShiftReduceParser
getToken(int) AceDocument
getToken(int) TokenSequenceParser
Get the specific Token.
getToken() SurfacePattern
getToken(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getToken(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getToken(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenBegin() PhraseTable.PhraseMatch
getTokenBegin() CoreNLPProtos.Quote.Builder
optional uint32 tokenBegin = 7;
getTokenBegin() CoreNLPProtos.Quote
optional uint32 tokenBegin = 7;
getTokenBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 tokenBegin = 7;
getTokenBeginIndex() CoreNLPProtos.Token.Builder
The begin index of the token
getTokenBeginIndex() CoreNLPProtos.Token
The begin index of the token
getTokenBeginIndex() CoreNLPProtos.TokenOrBuilder
The begin index of the token
getTokenBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenCount() AceDocument
getTokenCount() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenCount() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenCount() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenEnd() AceCharSeq
getTokenEnd() PhraseTable.PhraseMatch
getTokenEnd() CoreNLPProtos.Quote.Builder
optional uint32 tokenEnd = 8;
getTokenEnd() CoreNLPProtos.Quote
optional uint32 tokenEnd = 8;
getTokenEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 tokenEnd = 8;
getTokenEndIndex() CoreNLPProtos.Token.Builder
The end index of the token
getTokenEndIndex() CoreNLPProtos.Token
The end index of the token
getTokenEndIndex() CoreNLPProtos.TokenOrBuilder
The end index of the token
getTokenEndInSentenceExclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenEndInSentenceExclusive = 3;
getTokenEndInSentenceExclusive() CoreNLPProtos.NERMention
required uint32 tokenEndInSentenceExclusive = 3;
getTokenEndInSentenceExclusive() CoreNLPProtos.NERMentionOrBuilder
required uint32 tokenEndInSentenceExclusive = 3;
getTokenIndex() CoreNLPProtos.IndexedWord.Builder
optional uint32 tokenIndex = 2;
getTokenIndex() CoreNLPProtos.IndexedWord
optional uint32 tokenIndex = 2;
getTokenIndex() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 tokenIndex = 2;
getTokenIndex(int) CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
getTokenIndex(int) CoreNLPProtos.SentenceFragment
repeated uint32 tokenIndex = 1;
getTokenIndex(int) CoreNLPProtos.SentenceFragmentOrBuilder
repeated uint32 tokenIndex = 1;
getTokenIndex() CoreNLPProtos.TokenLocation.Builder
optional uint32 tokenIndex = 2;
getTokenIndex() CoreNLPProtos.TokenLocation
optional uint32 tokenIndex = 2;
getTokenIndex() CoreNLPProtos.TokenLocationOrBuilder
optional uint32 tokenIndex = 2;
getTokenIndexCount() CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
getTokenIndexCount() CoreNLPProtos.SentenceFragment
repeated uint32 tokenIndex = 1;
getTokenIndexCount() CoreNLPProtos.SentenceFragmentOrBuilder
repeated uint32 tokenIndex = 1;
getTokenIndexList() CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
getTokenIndexList() CoreNLPProtos.SentenceFragment
repeated uint32 tokenIndex = 1;
getTokenIndexList() CoreNLPProtos.SentenceFragmentOrBuilder
repeated uint32 tokenIndex = 1;
getTokenize() TaggerConfig
getTokenizedText(String) LexicalizedParserClient
Tokenize the text according to the parser's tokenizer,
return it as whitespace tokenized text.
getTokenizer(Reader) ArabicTokenizer.ArabicTokenizerFactory
getTokenizer(Reader, String) ArabicTokenizer.ArabicTokenizerFactory
getTokenizer(Reader) FrenchTokenizer.FrenchTokenizerFactory
getTokenizer(Reader, String) FrenchTokenizer.FrenchTokenizerFactory
getTokenizer(Reader) SpanishTokenizer.SpanishTokenizerFactory
getTokenizer(Reader, String) SpanishTokenizer.SpanishTokenizerFactory
getTokenizer(Reader) TokenizerAnnotator
Returns a thread-safe tokenizer
getTokenizer(Reader) PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getTokenizer(Reader, String) PTBTokenizer.PTBTokenizerFactory
getTokenizer(Reader) TokenizerFactory
Get a tokenizer for this reader.
getTokenizer(Reader, String) TokenizerFactory
Get a tokenizer for this reader.
getTokenizer(Reader) WhitespaceTokenizer.WhitespaceTokenizerFactory
getTokenizer(Reader, String) WhitespaceTokenizer.WhitespaceTokenizerFactory
getTokenizer(Reader) TreeTokenizerFactory
Gets a tokenizer from a reader.
getTokenizer(Reader, String) TreeTokenizerFactory
getTokenizerFactory() DocumentReader
Returns the tokenizer used to chop up text into words for the documents.
getTokenizerFactory() TaggerConfig
getTokenizerFactory() AbstractTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that
will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() ArabicTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text
that will be used with this Treebank/Language pair.
getTokenizerFactory() FrenchTreebankLanguagePack
getTokenizerFactory() NegraPennLanguagePack
Return a tokenizer which might be suitable for tokenizing text that
will be used with this Treebank/Language pair, without tokenizing carriage
returns (i.e., treating them as white space).
getTokenizerFactory() ChineseTreebankLanguagePack
getTokenizerFactory() SpanishTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this
Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white
space).
getTokenizerFactory() PennTreebankLanguagePack
getTokenizerFactory() TreebankLanguagePack
Return a tokenizer factory which might be suitable for tokenizing text
that will be used with this Treebank/Language pair.
getTokenizerInvertible() TaggerConfig
getTokenizerOptions() TaggerConfig
getTokenizerType(Properties) TokenizerAnnotator.TokenizerType
Get TokenizerType based on what's in the properties.
getTokenList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOffset() AceCharSeq
getTokenOffsetBegin() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetBegin = 2;
getTokenOffsetBegin() CoreNLPProtos.Sentence
required uint32 tokenOffsetBegin = 2;
getTokenOffsetBegin() CoreNLPProtos.SentenceOrBuilder
required uint32 tokenOffsetBegin = 2;
getTokenOffsetEnd() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetEnd = 3;
getTokenOffsetEnd() CoreNLPProtos.Sentence
required uint32 tokenOffsetEnd = 3;
getTokenOffsetEnd() CoreNLPProtos.SentenceOrBuilder
required uint32 tokenOffsetEnd = 3;
getTokenOffsets() MatchedExpression
getTokenOrBuilder(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilder(int) CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilder(int) CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilderList() CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilderList() CoreNLPProtos.Sentence
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenOrBuilderList() CoreNLPProtos.SentenceOrBuilder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
getTokenRangeFollowingQuote(Annotation, CoreMap) QuoteAttributionUtils
getTokenRangePrecedingQuote(Annotation, CoreMap) QuoteAttributionUtils
getTokens() DataInstance
getTokens() DataInstanceDep
getTokens() DataInstanceSurface
getTokenStart() AceCharSeq
getTokenStartInSentenceInclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenStartInSentenceInclusive = 2;
getTokenStartInSentenceInclusive() CoreNLPProtos.NERMention
required uint32 tokenStartInSentenceInclusive = 2;
getTokenStartInSentenceInclusive() CoreNLPProtos.NERMentionOrBuilder
required uint32 tokenStartInSentenceInclusive = 2;
getTokenText(List<? extends CoreMap>, Class) ChunkAnnotationUtils
getTokenText(List<? extends CoreMap>, Class, String) ChunkAnnotationUtils
getToolTipText(MouseEvent) TooltipJList
getTopCategoryOfSyntheticState(String) GrammarCompactor
getTopFeatures(double, boolean, int) LinearClassifier
Returns list of top features with weight above a certain threshold
(list is descending and across all labels).
getTopFeatures(Set<L>, double, boolean, int, boolean) LinearClassifier
Returns list of top features with weight above a certain threshold
getTopFeatures(Iterator<Pair<Map<String, DataInstance>, File>>, double, double, String) LearnImportantFeatures
getTopFeaturesLabelIndices(Set<Integer>, double, boolean, int, boolean) LinearClassifier
Returns list of top features with weight above a certain threshold
getTopParsesForOneTree(LexicalizedParser, int, Tree, TreeTransformer) DVParser
getTopSpeakerList() MajoritySpeakerSieve
getTopSpeakers(List<Sieve.MentionData>, List<Sieve.MentionData>, Person.Gender, CoreMap, boolean) BaselineTopSpeakerSieve
getTotalCount(int) GoogleNGramsSQLBacked
Note that this is really really slow for ngram > 1
TODO: make this fast (if we had been using mysql we could have)
getTotalGroups() SequencePattern
getTotalTime() AnnotationPipeline
Return the total pipeline annotation time in milliseconds.
getTP() PrecisionRecallStats
Returns the current count of true positives.
getTrainDataPath(Properties) CorefProperties
getTransitionID(String) ParsingSystem
getTree(String) LexicalizedParserClient
Returs a Tree from the server connected to at host:port.
getTree() TreeJPanel
getTree() CoreNLPProtos.RelationTriple.Builder
The dependency graph fragment for this triple
getTree() CoreNLPProtos.RelationTriple
The dependency graph fragment for this triple
getTree() CoreNLPProtos.RelationTripleOrBuilder
The dependency graph fragment for this triple
getTree() DeepTree
getTree() TreeFromFile
getTreebank() FileTreeNode
getTreebankDescription(String[], int, String) ArgUtils
getTreeBuilder() CoreNLPProtos.RelationTriple.Builder
The dependency graph fragment for this triple
getTreeColor() Preferences
getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) GrammaticalStructure
Look through the tree t and adds to the List basicDep
additional dependencies which aren't
in the List but which satisfy the filter puncTypedDepFilter.
getTreeDeps(List<TypedDependency>, DirectedMultiGraph<TreeGraphNode, GrammaticalRelation>, Predicate<TypedDependency>, Predicate<TypedDependency>) UniversalEnglishGrammaticalStructure
getTreeDepth(Properties, String) HybridCorefProperties
getTreeDimension(Tree, Font) TreeJPanel
getTreeOrBuilder() CoreNLPProtos.RelationTriple.Builder
The dependency graph fragment for this triple
getTreeOrBuilder() CoreNLPProtos.RelationTriple
The dependency graph fragment for this triple
getTreeOrBuilder() CoreNLPProtos.RelationTripleOrBuilder
The dependency graph fragment for this triple
getTreePrint() LexicalizedParser
Return a TreePrint for formatting parsed output trees.
getTreePrint() LexicalizedParserQuery
Return a TreePrint for formatting parsed output trees.
getTreeReaderFactory() Preferences
getTrees(String, int, int, int, int) TreebankAnnotator
getTregexPatternFromReader(BufferedReader) Tsurgeon
Assumes that we are at the beginning of a tsurgeon script file and gets the string for the
tregex pattern leading the file.
getTRF() FileTreeModel
getTriggeredPatterns(List<? extends T>) MultiPatternMatcher
Given a sequence, return the collection of patterns that are triggered by the sequence
(these patterns are the ones that may potentially match a subsequence in the sequence)
getTrueCase() CoreNLPProtos.Token.Builder
true case type of token
getTrueCase() CoreNLPProtos.Token
true case type of token
getTrueCase() CoreNLPProtos.TokenOrBuilder
true case type of token
getTrueCaseBytes() CoreNLPProtos.Token.Builder
true case type of token
getTrueCaseBytes() CoreNLPProtos.Token
true case type of token
getTrueCaseBytes() CoreNLPProtos.TokenOrBuilder
true case type of token
getTrueCaseText() CoreNLPProtos.Token.Builder
true case gloss of token
getTrueCaseText() CoreNLPProtos.Token
true case gloss of token
getTrueCaseText() CoreNLPProtos.TokenOrBuilder
true case gloss of token
getTrueCaseTextBytes() CoreNLPProtos.Token.Builder
true case gloss of token
getTrueCaseTextBytes() CoreNLPProtos.Token
true case gloss of token
getTrueCaseTextBytes() CoreNLPProtos.TokenOrBuilder
true case gloss of token
getTsurgeonOperationsFromReader(BufferedReader) Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and parses
these out, collecting them into one operation.
getTsurgeonTextFromReader(BufferedReader) Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and returns
them as a String, mirroring the way the strings appear in the file.
getTuneCV() SVMLightClassifierFactory
getTuneHeldOut() SVMLightClassifierFactory
getTuneMinimizer() SVMLightClassifierFactory
getTwoDimensionalMap(K1) ThreeDimensionalMap
getType(String) LogPrior
getType() LogPrior
getType() CorefCoreAnnotations.CorefAnnotation
getType() CorefCoreAnnotations.CorefChainAnnotation
getType() CorefCoreAnnotations.CorefClusterAnnotation
getType() CorefCoreAnnotations.CorefClusterIdAnnotation
getType() CorefCoreAnnotations.CorefDestAnnotation
getType() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
getType() CorefCoreAnnotations.CorefMentionIndexesAnnotation
getType() CorefCoreAnnotations.CorefMentionsAnnotation
getType() Mention
getType() CoNLLDocumentReader.CorefMentionAnnotation
getType() CoNLLDocumentReader.NamedEntityAnnotation
getType() CoNLL2011DocumentReader.CorefMentionAnnotation
getType() CoNLL2011DocumentReader.NamedEntityAnnotation
getType() CorefCoreAnnotations.CorefAnnotation
getType() CorefCoreAnnotations.CorefChainAnnotation
getType() CorefCoreAnnotations.CorefClusterAnnotation
Deprecated.
getType() CorefCoreAnnotations.CorefClusterIdAnnotation
getType() CorefCoreAnnotations.CorefDestAnnotation
getType() CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
getType() Mention
getType() KBPTokensregexExtractor.Object
getType() KBPTokensregexExtractor.Subject
getType() AceEntity
getType() AceEntityMention
getType() AceEvent
getType() AceRelation
getType() ExtractionObject
getType() MachineReadingAnnotations.AllRelationMentionsAnnotation
getType() MachineReadingAnnotations.DependencyAnnotation
Deprecated.
getType() MachineReadingAnnotations.DocumentDirectoryAnnotation
getType() MachineReadingAnnotations.DocumentIdAnnotation
Deprecated.
getType() MachineReadingAnnotations.EntityMentionsAnnotation
getType() MachineReadingAnnotations.EventMentionsAnnotation
getType() MachineReadingAnnotations.GenderAnnotation
getType() MachineReadingAnnotations.RelationMentionsAnnotation
getType() MachineReadingAnnotations.TriggerAnnotation
getType() Unit
getType() ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation
getType() CoreAnnotation
Returns the type associated with this annotation.
getType() CoreAnnotations.AbbrAnnotation
getType() CoreAnnotations.AbgeneAnnotation
getType() CoreAnnotations.AbstrAnnotation
getType() CoreAnnotations.AfterAnnotation
getType() CoreAnnotations.AnswerAnnotation
getType() CoreAnnotations.AnswerObjectAnnotation
getType() CoreAnnotations.AntecedentAnnotation
getType() CoreAnnotations.ArabicCharAnnotation
getType() CoreAnnotations.ArabicSegAnnotation
getType() CoreAnnotations.ArgDescendentAnnotation
getType() CoreAnnotations.ArgumentAnnotation
getType() CoreAnnotations.AuthorAnnotation
getType() CoreAnnotations.BagOfWordsAnnotation
getType() CoreAnnotations.BeAnnotation
getType() CoreAnnotations.BeforeAnnotation
getType() CoreAnnotations.BeginIndexAnnotation
getType() CoreAnnotations.BestCliquesAnnotation
getType() CoreAnnotations.BestFullAnnotation
getType() CoreAnnotations.CalendarAnnotation
getType() CoreAnnotations.CanonicalEntityMentionIndexAnnotation
getType() CoreAnnotations.CategoryAnnotation
getType() CoreAnnotations.CategoryFunctionalTagAnnotation
getType() CoreAnnotations.CharacterOffsetBeginAnnotation
getType() CoreAnnotations.CharacterOffsetEndAnnotation
getType() CoreAnnotations.CharAnnotation
getType() CoreAnnotations.ChineseCharAnnotation
getType() CoreAnnotations.ChineseIsSegmentedAnnotation
getType() CoreAnnotations.ChineseOrigSegAnnotation
getType() CoreAnnotations.ChineseSegAnnotation
getType() CoreAnnotations.ChunkAnnotation
getType() CoreAnnotations.CoarseNamedEntityTagAnnotation
getType() CoreAnnotations.CoarseTagAnnotation
getType() CoreAnnotations.ColumnDataClassifierAnnotation
getType() CoreAnnotations.CommonWordsAnnotation
getType() CoreAnnotations.CoNLLDepAnnotation
getType() CoreAnnotations.CoNLLDepParentIndexAnnotation
getType() CoreAnnotations.CoNLLDepTypeAnnotation
getType() CoreAnnotations.CoNLLPredicateAnnotation
getType() CoreAnnotations.CoNLLSRLAnnotation
getType() CoreAnnotations.CoNLLUFeats
getType() CoreAnnotations.CoNLLUMisc
getType() CoreAnnotations.CoNLLUSecondaryDepsAnnotation
getType() CoreAnnotations.CoNLLUTokenSpanAnnotation
getType() CoreAnnotations.ContextsAnnotation
getType() CoreAnnotations.CorefMentionToEntityMentionMappingAnnotation
getType() CoreAnnotations.CostMagnificationAnnotation
getType() CoreAnnotations.CovertIDAnnotation
getType() CoreAnnotations.D2_LBeginAnnotation
getType() CoreAnnotations.D2_LEndAnnotation
getType() CoreAnnotations.D2_LMiddleAnnotation
getType() CoreAnnotations.DayAnnotation
getType() CoreAnnotations.DependentsAnnotation
getType() CoreAnnotations.DictAnnotation
getType() CoreAnnotations.DistSimAnnotation
getType() CoreAnnotations.DoAnnotation
getType() CoreAnnotations.DocDateAnnotation
getType() CoreAnnotations.DocIDAnnotation
getType() CoreAnnotations.DocSourceTypeAnnotation
getType() CoreAnnotations.DocTitleAnnotation
getType() CoreAnnotations.DocTypeAnnotation
getType() CoreAnnotations.DomainAnnotation
getType() CoreAnnotations.EndIndexAnnotation
getType() CoreAnnotations.EntityClassAnnotation
getType() CoreAnnotations.EntityMentionIndexAnnotation
getType() CoreAnnotations.EntityMentionToCorefMentionMappingAnnotation
getType() CoreAnnotations.EntityRuleAnnotation
getType() CoreAnnotations.EntityTypeAnnotation
getType() CoreAnnotations.ExceptionAnnotation
getType() CoreAnnotations.FeaturesAnnotation
getType() CoreAnnotations.FemaleGazAnnotation
getType() CoreAnnotations.FineGrainedNamedEntityTagAnnotation
getType() CoreAnnotations.FirstChildAnnotation
getType() CoreAnnotations.ForcedSentenceEndAnnotation
getType() CoreAnnotations.ForcedSentenceUntilEndAnnotation
getType() CoreAnnotations.FreqAnnotation
getType() CoreAnnotations.GazAnnotation
getType() CoreAnnotations.GazetteerAnnotation
getType() CoreAnnotations.GenderAnnotation
getType() CoreAnnotations.GenericTokensAnnotation
getType() CoreAnnotations.GeniaAnnotation
getType() CoreAnnotations.GoldAnswerAnnotation
getType() CoreAnnotations.GovernorAnnotation
getType() CoreAnnotations.GrandparentAnnotation
getType() CoreAnnotations.HaveAnnotation
getType() CoreAnnotations.HeadWordStringAnnotation
getType() CoreAnnotations.HeightAnnotation
getType() CoreAnnotations.IDAnnotation
getType() CoreAnnotations.IDFAnnotation
getType() CoreAnnotations.INAnnotation
getType() CoreAnnotations.IndexAnnotation
getType() CoreAnnotations.InterpretationAnnotation
getType() CoreAnnotations.IsDateRangeAnnotation
getType() CoreAnnotations.IsNewlineAnnotation
getType() CoreAnnotations.IsURLAnnotation
getType() CoreAnnotations.KBPTriplesAnnotation
getType() CoreAnnotations.LabelAnnotation
getType() CoreAnnotations.LabelIDAnnotation
getType() CoreAnnotations.LabelWeightAnnotation
getType() CoreAnnotations.LastGazAnnotation
getType() CoreAnnotations.LastTaggedAnnotation
getType() CoreAnnotations.LBeginAnnotation
getType() CoreAnnotations.LeftChildrenNodeAnnotation
getType() CoreAnnotations.LeftTermAnnotation
getType() CoreAnnotations.LemmaAnnotation
getType() CoreAnnotations.LEndAnnotation
getType() CoreAnnotations.LengthAnnotation
getType() CoreAnnotations.LineNumberAnnotation
getType() CoreAnnotations.LinkAnnotation
getType() CoreAnnotations.LMiddleAnnotation
getType() CoreAnnotations.LocationAnnotation
getType() CoreAnnotations.MaleGazAnnotation
getType() CoreAnnotations.MarkingAnnotation
getType() CoreAnnotations.MentionsAnnotation
getType() CoreAnnotations.MentionTokenAnnotation
getType() CoreAnnotations.MonthAnnotation
getType() CoreAnnotations.MorphoCaseAnnotation
getType() CoreAnnotations.MorphoGenAnnotation
getType() CoreAnnotations.MorphoNumAnnotation
getType() CoreAnnotations.MorphoPersAnnotation
getType() CoreAnnotations.NamedEntityTagAnnotation
getType() CoreAnnotations.NeighborsAnnotation
getType() CoreAnnotations.NERIDAnnotation
getType() CoreAnnotations.NormalizedNamedEntityTagAnnotation
getType() CoreAnnotations.NotAnnotation
getType() CoreAnnotations.NumericCompositeObjectAnnotation
getType() CoreAnnotations.NumericCompositeTypeAnnotation
getType() CoreAnnotations.NumericCompositeValueAnnotation
getType() CoreAnnotations.NumericObjectAnnotation
getType() CoreAnnotations.NumericTypeAnnotation
getType() CoreAnnotations.NumericValueAnnotation
getType() CoreAnnotations.NumerizedTokensAnnotation
getType() CoreAnnotations.NumTxtSentencesAnnotation
getType() CoreAnnotations.OriginalCharAnnotation
getType() CoreAnnotations.OriginalTextAnnotation
getType() CoreAnnotations.ParagraphAnnotation
getType() CoreAnnotations.ParagraphIndexAnnotation
getType() CoreAnnotations.ParagraphsAnnotation
getType() CoreAnnotations.ParaPositionAnnotation
getType() CoreAnnotations.ParentAnnotation
getType() CoreAnnotations.PartOfSpeechAnnotation
getType() CoreAnnotations.PercentAnnotation
getType() CoreAnnotations.PhraseWordsAnnotation
getType() CoreAnnotations.PhraseWordsTagAnnotation
getType() CoreAnnotations.PolarityAnnotation
getType() CoreAnnotations.PositionAnnotation
getType() CoreAnnotations.PossibleAnswersAnnotation
getType() CoreAnnotations.PredictedAnswerAnnotation
getType() CoreAnnotations.PresetAnswerAnnotation
getType() CoreAnnotations.PrevChildAnnotation
getType() CoreAnnotations.PriorAnnotation
getType() CoreAnnotations.ProtoAnnotation
getType() CoreAnnotations.QuotationIndexAnnotation
getType() CoreAnnotations.QuotationsAnnotation
getType() CoreAnnotations.QuotedAnnotation
getType() CoreAnnotations.QuotesAnnotation
getType() CoreAnnotations.RoleAnnotation
getType() CoreAnnotations.SectionAnnotation
getType() CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation
getType() CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation
getType() CoreAnnotations.SectionDateAnnotation
getType() CoreAnnotations.SectionEndAnnotation
getType() CoreAnnotations.SectionIDAnnotation
getType() CoreAnnotations.SectionIndexAnnotation
getType() CoreAnnotations.SectionsAnnotation
getType() CoreAnnotations.SectionStartAnnotation
getType() CoreAnnotations.SectionTagAnnotation
getType() CoreAnnotations.SemanticHeadTagAnnotation
getType() CoreAnnotations.SemanticHeadWordAnnotation
getType() CoreAnnotations.SemanticTagAnnotation
getType() CoreAnnotations.SemanticWordAnnotation
getType() CoreAnnotations.SentenceBeginAnnotation
getType() CoreAnnotations.SentenceEndAnnotation
getType() CoreAnnotations.SentenceIDAnnotation
getType() CoreAnnotations.SentenceIndexAnnotation
getType() CoreAnnotations.SentencePositionAnnotation
getType() CoreAnnotations.SentencesAnnotation
getType() CoreAnnotations.ShapeAnnotation
getType() CoreAnnotations.SpaceBeforeAnnotation
getType() CoreAnnotations.SpanAnnotation
getType() CoreAnnotations.SpeakerAnnotation
getType() CoreAnnotations.SRLIDAnnotation
getType() CoreAnnotations.SRLInstancesAnnotation
getType() CoreAnnotations.StackedNamedEntityTagAnnotation
getType() CoreAnnotations.StateAnnotation
getType() CoreAnnotations.StatementTextAnnotation
getType() CoreAnnotations.StemAnnotation
getType() CoreAnnotations.SubcategorizationAnnotation
getType() CoreAnnotations.TagLabelAnnotation
getType() CoreAnnotations.TextAnnotation
getType() CoreAnnotations.TokenBeginAnnotation
getType() CoreAnnotations.TokenEndAnnotation
getType() CoreAnnotations.TokensAnnotation
getType() CoreAnnotations.TopicAnnotation
getType() CoreAnnotations.TrueCaseAnnotation
getType() CoreAnnotations.TrueCaseTextAnnotation
getType() CoreAnnotations.TrueTagAnnotation
getType() CoreAnnotations.UBlockAnnotation
getType() CoreAnnotations.UnaryAnnotation
getType() CoreAnnotations.UnclosedQuotationsAnnotation
getType() CoreAnnotations.UnknownAnnotation
getType() CoreAnnotations.UseMarkedDiscourseAnnotation
getType() CoreAnnotations.UtteranceAnnotation
getType() CoreAnnotations.UTypeAnnotation
getType() CoreAnnotations.ValueAnnotation
getType() CoreAnnotations.VerbSenseAnnotation
getType() CoreAnnotations.WebAnnotation
getType() CoreAnnotations.WikipediaEntityAnnotation
getType() CoreAnnotations.WordFormAnnotation
getType() CoreAnnotations.WordnetSynAnnotation
getType() CoreAnnotations.WordPositionAnnotation
getType() CoreAnnotations.WordSenseAnnotation
getType() CoreAnnotations.XmlContextAnnotation
getType() CoreAnnotations.XmlElementAnnotation
getType() CoreAnnotations.YearAnnotation
getType() SegmenterCoreAnnotations.CharactersAnnotation
getType() SegmenterCoreAnnotations.XMLCharAnnotation
getType() Expression
Returns a string indicating the type of this expression.
getType() Expressions.ConditionalExpression
getType() Expressions.TypedExpression
getType() Expressions.WrappedExpression
getType() Tags.TagsAnnotation
getType() NaturalLogicAnnotations.EntailedClausesAnnotation
getType() NaturalLogicAnnotations.EntailedSentencesAnnotation
getType() NaturalLogicAnnotations.OperatorAnnotation
getType() NaturalLogicAnnotations.PolarityAnnotation
getType() NaturalLogicAnnotations.PolarityDirectionAnnotation
getType() NaturalLogicAnnotations.RelationTriplesAnnotation
getType() RNNCoreAnnotations.GoldClass
getType() RNNCoreAnnotations.NodeVector
getType() RNNCoreAnnotations.PredictedClass
getType() RNNCoreAnnotations.PredictionError
getType() RNNCoreAnnotations.Predictions
getType() ParserAnnotations.CandidatePartOfSpeechAnnotation
getType() ParserAnnotations.ConstraintAnnotation
getType() PatternsAnnotations.Features
getType() PatternsAnnotations.LongestMatchedPhraseForEachLabel
getType() PatternsAnnotations.MatchedPattern
getType() PatternsAnnotations.MatchedPatterns
getType() PatternsAnnotations.MatchedPhrases
getType() PatternsAnnotations.OtherSemanticLabel
getType() PatternsAnnotations.PatternHumanLabel1
getType() PatternsAnnotations.PatternHumanLabel10
getType() PatternsAnnotations.PatternHumanLabel2
getType() PatternsAnnotations.PatternHumanLabel3
getType() PatternsAnnotations.PatternHumanLabel4
getType() PatternsAnnotations.PatternHumanLabel5
getType() PatternsAnnotations.PatternHumanLabel6
getType() PatternsAnnotations.PatternHumanLabel7
getType() PatternsAnnotations.PatternHumanLabel8
getType() PatternsAnnotations.PatternHumanLabel9
getType() PatternsAnnotations.PatternLabel1
getType() PatternsAnnotations.PatternLabel10
getType() PatternsAnnotations.PatternLabel2
getType() PatternsAnnotations.PatternLabel3
getType() PatternsAnnotations.PatternLabel4
getType() PatternsAnnotations.PatternLabel5
getType() PatternsAnnotations.PatternLabel6
getType() PatternsAnnotations.PatternLabel7
getType() PatternsAnnotations.PatternLabel8
getType() PatternsAnnotations.PatternLabel9
getType() PatternsAnnotations.ProcessedTextAnnotation
getType() PatternsAnnotations.SeedLabeledOrNot
getType() CoreNLPProtos.Entity.Builder
optional string type = 4;
getType() CoreNLPProtos.Entity
optional string type = 4;
getType() CoreNLPProtos.EntityOrBuilder
optional string type = 4;
getType() CoreNLPProtos.Relation.Builder
optional string type = 4;
getType() CoreNLPProtos.Relation
optional string type = 4;
getType() CoreNLPProtos.RelationOrBuilder
optional string type = 4;
getType() CoreNLPProtos.Timex.Builder
optional string type = 4;
getType() CoreNLPProtos.Timex
optional string type = 4;
getType() CoreNLPProtos.TimexOrBuilder
optional string type = 4;
getType() QuoteAttributionAnnotator.CanonicalMentionAnnotation
getType() QuoteAttributionAnnotator.CanonicalMentionBeginAnnotation
getType() QuoteAttributionAnnotator.CanonicalMentionEndAnnotation
getType() QuoteAttributionAnnotator.MentionAnnotation
getType() QuoteAttributionAnnotator.MentionBeginAnnotation
getType() QuoteAttributionAnnotator.MentionEndAnnotation
getType() QuoteAttributionAnnotator.MentionSieveAnnotation
getType() QuoteAttributionAnnotator.MentionTypeAnnotation
getType() QuoteAttributionAnnotator.SpeakerAnnotation
getType() QuoteAttributionAnnotator.SpeakerSieveAnnotation
getType() ChapterAnnotator.ChapterAnnotation
getType() QuoteAttributionUtils.EnhancedSentenceAnnotation
getType() SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
getType() SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
getType() SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
Deprecated.
getType() SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
Deprecated.
getType() SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation
getType() SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation
getType() SentimentCoreAnnotations.SentimentAnnotatedTree
getType() SentimentCoreAnnotations.SentimentClass
getType() TimeAnnotations.TimexAnnotation
getType() TimeAnnotations.TimexAnnotations
getType() TimeExpression.Annotation
getType() TimeExpression.ChildrenAnnotation
getType() TimeExpression.TimeIndexAnnotation
getType() TreeCoreAnnotations.BinarizedTreeAnnotation
getType() TreeCoreAnnotations.HeadTagLabelAnnotation
getType() TreeCoreAnnotations.HeadWordLabelAnnotation
getType() TreeCoreAnnotations.KBestTreesAnnotation
getType() TreeCoreAnnotations.TreeAnnotation
getTypeBytes() CoreNLPProtos.Entity.Builder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Entity
optional string type = 4;
getTypeBytes() CoreNLPProtos.EntityOrBuilder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Relation.Builder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Relation
optional string type = 4;
getTypeBytes() CoreNLPProtos.RelationOrBuilder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Timex.Builder
optional string type = 4;
getTypeBytes() CoreNLPProtos.Timex
optional string type = 4;
getTypeBytes() CoreNLPProtos.TimexOrBuilder
optional string type = 4;
getTypedDependencyChains(List<TypedDependency>, int) Dependencies
getTypeName(Class) ValueFunctions.NamedValueFunction
getTypeProbabilities() ExtractionObject
getUAS(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) ParsingSystem
getUASnoPunc(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) ParsingSystem
getUnaryClassification(String) SentimentModel
getUncertaintyGranularity() SUTime.Temporal
getUniformDistribution(Collection<E>) Distribution
getUnit() SimpleQuantifiableEntity
getUnknownFields() CoreNLPProtos.CorefChain.CorefMention
getUnknownFields() CoreNLPProtos.CorefChain
getUnknownFields() CoreNLPProtos.DependencyGraph.Edge
getUnknownFields() CoreNLPProtos.DependencyGraph
getUnknownFields() CoreNLPProtos.DependencyGraph.Node
getUnknownFields() CoreNLPProtos.Document
getUnknownFields() CoreNLPProtos.Entity
getUnknownFields() CoreNLPProtos.IndexedWord
getUnknownFields() CoreNLPProtos.MapIntString
getUnknownFields() CoreNLPProtos.MapStringString
getUnknownFields() CoreNLPProtos.Mention
getUnknownFields() CoreNLPProtos.NERMention
getUnknownFields() CoreNLPProtos.Operator
getUnknownFields() CoreNLPProtos.ParseTree
getUnknownFields() CoreNLPProtos.Polarity
getUnknownFields() CoreNLPProtos.Quote
getUnknownFields() CoreNLPProtos.Relation
getUnknownFields() CoreNLPProtos.RelationTriple
getUnknownFields() CoreNLPProtos.Section
getUnknownFields() CoreNLPProtos.Sentence
getUnknownFields() CoreNLPProtos.SentenceFragment
getUnknownFields() CoreNLPProtos.Span
getUnknownFields() CoreNLPProtos.SpeakerInfo
getUnknownFields() CoreNLPProtos.Timex
getUnknownFields() CoreNLPProtos.Token
getUnknownFields() CoreNLPProtos.TokenLocation
getUnknownLevel() ArabicUnknownWordModel
getUnknownLevel() BaseUnknownWordModel
getUnknownLevel() UnknownWordModel
Get the level of equivalence classing for the model.
getUnknownWordModel() BaseLexicon
getUnknownWordModel() ChineseCharacterBasedLexicon
getUnknownWordModel() ChineseLexiconAndWordSegmenter
getUnknownWordModel() Lexicon
getUnknownWordVector() Embedding
getUnknownWordVector() DVModel
getUnlabeledMentionPairs(Document) CorefUtils
getUnminimizedFA() FastExactAutomatonMinimizer
getUnsupportedDurationPeriod(Partial, Period) JodaTimeUtils
getURL() NERGUI
getUrlEncoding(URLConnection) IOUtils
getUsedMemory() MemoryMonitor
getUsedMemory(boolean) MemoryMonitor
getUseSigma() SVMLightClassifierFactory
Get whether or not to train an overlying platt (sigmoid)
model for producing meaningful probabilities.
getUtter() CoreNLPProtos.Mention.Builder
optional uint32 utter = 18;
getUtter() CoreNLPProtos.Mention
optional uint32 utter = 18;
getUtter() CoreNLPProtos.MentionOrBuilder
optional uint32 utter = 18;
getUtterance() CoreNLPProtos.Token.Builder
The utterance tag used in dcoref
getUtterance() CoreNLPProtos.Token
The utterance tag used in dcoref
getUtterance() CoreNLPProtos.TokenOrBuilder
The utterance tag used in dcoref
getval() DoubleAD
getVal(int) Feature
Get the value at the index-ed non zero value pair (x,y)
getVal(int, int) Feature
This is rarely used because it is slower and requires initHashVals() to be called beforehand
to initialize the hashValues.
getVal(int) TaggerFeature
getVal(int, int) TaggerFeature
getValidAdverbChunk(SemanticGraph, IndexedWord, Optional<String>) RelationTripleSegmenter
Get the yield of a given subtree, if it is a adverb chunk.
getValidatingXmlParser(File) XMLUtils
Returns a validating XML parser given an XSD (not DTD!).
getValidChunk(SemanticGraph, IndexedWord, Set<String>, Optional<String>, boolean) RelationTripleSegmenter
getValidChunk(SemanticGraph, IndexedWord, Set<String>, Optional<String>) RelationTripleSegmenter
getValidObjectChunk(SemanticGraph, IndexedWord, Optional<String>) RelationTripleSegmenter
Get the yield of a given subtree, if it is a valid object.
getValidSubjectChunk(SemanticGraph, IndexedWord, Optional<String>) RelationTripleSegmenter
Get the yield of a given subtree, if it is a valid subject.
getValue(int) FactorTable
getValue(int[]) FactorTable
getValue(int[]) FloatFactorTable
getValue() EntityMention
Get the text value of this entity.
getValue() ExtractionObject
Returns the text corresponding to the extent of this object
getValue(MorphoFeatureSpecification.MorphoFeatureType) MorphoFeatures
getValue() ComplexNodePattern.IntegerAnnotationPattern
getValue(String) CoreMapExpressionExtractor
getValue() MatchedExpression
getValue() Match
getValue() TrieMap
getValue(String) Expressions.CompositeValue
getValue() ExtractedPhrase
getValue(int) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValue(int) CoreNLPProtos.MapIntString
repeated string value = 2;
getValue(int) CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValue(int) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValue(int) CoreNLPProtos.MapStringString
repeated string value = 2;
getValue(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValue() CoreNLPProtos.ParseTree.Builder
optional string value = 2;
getValue() CoreNLPProtos.ParseTree
optional string value = 2;
getValue() CoreNLPProtos.ParseTreeOrBuilder
optional string value = 2;
getValue() CoreNLPProtos.Timex.Builder
optional string value = 1;
getValue() CoreNLPProtos.Timex
optional string value = 1;
getValue() CoreNLPProtos.TimexOrBuilder
optional string value = 1;
getValue() CoreNLPProtos.Token.Builder
The word's 'value', (e.g., parse tree node)
getValue() CoreNLPProtos.Token
The word's 'value', (e.g., parse tree node)
getValue() CoreNLPProtos.TokenOrBuilder
The word's 'value', (e.g., parse tree node)
getValue() TwoDimensionalMap.Entry
getValue() ValuedInterval
getValueBytes(int) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapIntString
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapStringString
repeated string value = 2;
getValueBytes(int) CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValueBytes() CoreNLPProtos.ParseTree.Builder
optional string value = 2;
getValueBytes() CoreNLPProtos.ParseTree
optional string value = 2;
getValueBytes() CoreNLPProtos.ParseTreeOrBuilder
optional string value = 2;
getValueBytes() CoreNLPProtos.Timex.Builder
optional string value = 1;
getValueBytes() CoreNLPProtos.Timex
optional string value = 1;
getValueBytes() CoreNLPProtos.TimexOrBuilder
optional string value = 1;
getValueBytes() CoreNLPProtos.Token.Builder
The word's 'value', (e.g., parse tree node)
getValueBytes() CoreNLPProtos.Token
The word's 'value', (e.g., parse tree node)
getValueBytes() CoreNLPProtos.TokenOrBuilder
The word's 'value', (e.g., parse tree node)
getValueCount() CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValueCount() CoreNLPProtos.MapIntString
repeated string value = 2;
getValueCount() CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValueCount() CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValueCount() CoreNLPProtos.MapStringString
repeated string value = 2;
getValueCount() CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValueDescriptor() CoreNLPProtos.Language
getValueDescriptor() CoreNLPProtos.NaturalLogicRelation
getValueDescriptor() CoreNLPProtos.Sentiment
getValueList() CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
getValueList() CoreNLPProtos.MapIntString
repeated string value = 2;
getValueList() CoreNLPProtos.MapIntStringOrBuilder
repeated string value = 2;
getValueList() CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
getValueList() CoreNLPProtos.MapStringString
repeated string value = 2;
getValueList() CoreNLPProtos.MapStringStringOrBuilder
repeated string value = 2;
getValues(MorphoFeatureSpecification.MorphoFeatureType) ArabicMorphoFeatureSpecification
getValues(MorphoFeatureSpecification.MorphoFeatureType) FrenchMorphoFeatureSpecification
getValues(MorphoFeatureSpecification.MorphoFeatureType) MorphoFeatureSpecification
getValuesArray() Dataset
getValuesArray() GeneralDataset
getValuesArray() RVFDataset
getValueType(Class<? extends CoreAnnotation<?>>) AnnotationLookup
Returns the runtime value type associated with the given key.
getVariables() Env
getVariableString(String) TregexMatcher
If there is a current match, and that match involves setting this
particular variable string, this returns that string.
getVariance(double[]) StochasticDiffFunctionTester
getVariance(double[], int) StochasticDiffFunctionTester
getVectors() DeepTree
getVerbose() TaggerConfig
getVerboseResults() TaggerConfig
getVeryCommonWordThresh() TaggerConfig
getVocabWord(String) DVModel
getVocabWord(String) SentimentModel
Get the known vocabulary word associated with the given word.
getW(String) CorpusDictionary
getW1() Classifier
getW2() Classifier
getWeight() MatchedExpression
getWeight() SequencePattern
getWeight() SemanticGraphEdge
getWeightedTreebankDescription(String[], int, String) ArgUtils
getWeightIndices() CRFLogConditionalObjectiveFunction
getWeights() LogisticClassifier
getWeights() WeightedDataset
getWeights() WeightedRVFDataset
Get the weight array for this dataset.
getWeights(String) ScaledSGDMinimizer
getWeightVector() SimpleLinearClassifier
getWForNode(Tree) DVModel
getWForNode(Tree) SentimentModel
getWikipediaEntity() CoreNLPProtos.NERMention.Builder
optional string wikipediaEntity = 8;
getWikipediaEntity() CoreNLPProtos.NERMention
optional string wikipediaEntity = 8;
getWikipediaEntity() CoreNLPProtos.NERMentionOrBuilder
optional string wikipediaEntity = 8;
getWikipediaEntity() CoreNLPProtos.Token.Builder
optional string wikipediaEntity = 37;
getWikipediaEntity() CoreNLPProtos.Token
optional string wikipediaEntity = 37;
getWikipediaEntity() CoreNLPProtos.TokenOrBuilder
optional string wikipediaEntity = 37;
getWikipediaEntityBytes() CoreNLPProtos.NERMention.Builder
optional string wikipediaEntity = 8;
getWikipediaEntityBytes() CoreNLPProtos.NERMention
optional string wikipediaEntity = 8;
getWikipediaEntityBytes() CoreNLPProtos.NERMentionOrBuilder
optional string wikipediaEntity = 8;
getWikipediaEntityBytes() CoreNLPProtos.Token.Builder
optional string wikipediaEntity = 37;
getWikipediaEntityBytes() CoreNLPProtos.Token
optional string wikipediaEntity = 37;
getWikipediaEntityBytes() CoreNLPProtos.TokenOrBuilder
optional string wikipediaEntity = 37;
getWord() AceToken
getWord() RobustTokenizer.WordToken
getWord(int) PhraseTable.StringList
getWord(int) PhraseTable.TokenList
getWord(int) PhraseTable.WordList
getWord(int) Configuration
getWord() CoreNLPProtos.Token.Builder
Fields set by the default annotators [new CoreNLP(new Properties())]
getWord() CoreNLPProtos.Token
Fields set by the default annotators [new CoreNLP(new Properties())]
getWord() CoreNLPProtos.TokenOrBuilder
Fields set by the default annotators [new CoreNLP(new Properties())]
getWord(CoreLabel) FeatureFactory
Convenience methods for subclasses which use CoreLabel.
getWord() AmbiguityClass
getWord() CountWrapper
getWordBytes() CoreNLPProtos.Token.Builder
Fields set by the default annotators [new CoreNLP(new Properties())]
getWordBytes() CoreNLPProtos.Token
Fields set by the default annotators [new CoreNLP(new Properties())]
getWordBytes() CoreNLPProtos.TokenOrBuilder
Fields set by the default annotators [new CoreNLP(new Properties())]
getWordClassClusters() ConstantsAndVariables
getWordEmbedding(String) EmbeddingExtractor
getWordEmbeddings() NeuralCorefModel
getWordFunction() TaggerConfig
getWordID(String) DependencyParser
Get an integer ID for the given word.
getWordList() PhraseTable.Phrase
getWordShapeCache() ConstantsAndVariables
getWordShapeScore(String, String) PhraseScorer
getWordShapesForLabels() ConstantsAndVariables
getWordsOverSpan(int, int) HTKLatticeReader
getWordVector(String) DVModel
getWordVector(String) SentimentModel
Retrieve a learned word vector for the given word.
getWordVectors() Embedding
getWrappedList() PaddedList
Deprecated.
getX(int) Feature
getX() History
getX(int) TaggerFeature
getXmlContext(int) CoreNLPProtos.Token.Builder
Used by clean xml annotator
getXmlContext(int) CoreNLPProtos.Token
Used by clean xml annotator
getXmlContext(int) CoreNLPProtos.TokenOrBuilder
Used by clean xml annotator
getXmlContextBytes(int) CoreNLPProtos.Token.Builder
Used by clean xml annotator
getXmlContextBytes(int) CoreNLPProtos.Token
Used by clean xml annotator
getXmlContextBytes(int) CoreNLPProtos.TokenOrBuilder
Used by clean xml annotator
getXmlContextCount() CoreNLPProtos.Token.Builder
Used by clean xml annotator
getXmlContextCount() CoreNLPProtos.Token
Used by clean xml annotator
getXmlContextCount() CoreNLPProtos.TokenOrBuilder
Used by clean xml annotator
getXmlContextList() CoreNLPProtos.Token.Builder
Used by clean xml annotator
getXmlContextList() CoreNLPProtos.Token
Used by clean xml annotator
getXmlContextList() CoreNLPProtos.TokenOrBuilder
Used by clean xml annotator
getXmlDoc() CoreNLPProtos.Document.Builder
xml information
getXmlDoc() CoreNLPProtos.Document
xml information
getXmlDoc() CoreNLPProtos.DocumentOrBuilder
xml information
getXMLInput() TaggerConfig
getXmlParser() XMLUtils
Returns a non-validating XML parser.
getXmlTag() CoreNLPProtos.Section.Builder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
getXmlTag() CoreNLPProtos.Section
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
getXmlTag() CoreNLPProtos.SectionOrBuilder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
getXmlTagBuilder() CoreNLPProtos.Section.Builder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
getXmlTagOrBuilder() CoreNLPProtos.Section.Builder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
getXmlTagOrBuilder() CoreNLPProtos.Section
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
getXmlTagOrBuilder() CoreNLPProtos.SectionOrBuilder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
getXValues(Pair<Integer, String>) TemplateHash
getY() DataGeneric
getY(int) Feature
getY() DataWordTag
getY(int) TaggerFeature
getYear() SUTime.IsoDate
getYieldBeginIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldBeginIndex = 3;
getYieldBeginIndex() CoreNLPProtos.ParseTree
optional uint32 yieldBeginIndex = 3;
getYieldBeginIndex() CoreNLPProtos.ParseTreeOrBuilder
optional uint32 yieldBeginIndex = 3;
getYieldEndIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldEndIndex = 4;
getYieldEndIndex() CoreNLPProtos.ParseTree
optional uint32 yieldEndIndex = 4;
getYieldEndIndex() CoreNLPProtos.ParseTreeOrBuilder
optional uint32 yieldEndIndex = 4;
getYInd() DataWordTag
getYTag() TaggerFeature
getYYEOF() Lexer
returns value for YYEOF
getYYEOF() NegraPennLexer
gfCharacter AbstractTreebankLanguagePack
Default character for indicating that something is a grammatical fn; probably should be overridden by
lang specific ones
GLOBAL_ANNOTATOR_CACHE StanfordCoreNLP
A global cache of annotators, so we don't have to re-create one if there's enough memory floating around.
globalEnv ConstantsAndVariables
globalIntern(T) SynchronizedInterner
Returns a unique object o' that .equals the argument o.
globalIntern(T) Interner
Returns a unique object o' that .equals the argument o.
globalMutex SynchronizedInterner
GLOSSES Operator
goal BiLexPCFGParser
goalStr ExhaustivePCFGParser
GOES_WITH EnglishGrammaticalRelations
The "goes with" grammatical relation.
GOES_WITH UniversalEnglishGrammaticalRelations
The "goes with" grammatical relation.
GoldAnswerAnnotation() CoreAnnotations.GoldAnswerAnnotation
GoldClass() RNNCoreAnnotations.GoldClass
goldClusters ClustererDataLoader.ClustererDoc
goldClustersFile StatisticalCorefTrainer
goldCorefClusterID Mention
goldCorefClusterID Mention
GOLDCOREFCLUSTERID_FIELD_NUMBER CoreNLPProtos.Mention
goldCorefClusters Document
Gold Clusters for coreferent mentions
goldCorefClusters Document
Gold Clusters for coreferent mentions
goldDeps DependencyScoring
goldDepsUnlabeled DependencyScoring
GoldenSectionLineSearch edu.stanford.nlp.optimization
A class to do golden section line search.
GoldenSectionLineSearch(double, double, double) GoldenSectionLineSearch
GoldenSectionLineSearch(double, double, double, boolean) GoldenSectionLineSearch
GoldenSectionLineSearch(boolean) GoldenSectionLineSearch
GoldenSectionLineSearch(boolean, double, double, double) GoldenSectionLineSearch
GoldenSectionLineSearch(boolean, double, double, double, boolean) GoldenSectionLineSearch
goldEntitiesEvalFiles ConstantsAndVariables
goldList XMLToAnnotation.Data
goldMentions Document
The list of gold mentions
goldMentions InputDoc
Gold mentions with coreference information for evaluation.
goldMentionsByID Document
goldOrderedMentionsBySentence Document
The list of gold mentions
GoldQuoteInfo(int, int, String, String) XMLToAnnotation.GoldQuoteInfo
goodTuringSmoothedCounter(Counter<E>, int) Distribution
Creates a Good-Turing smoothed Distribution from the given counter.
goodTuringWithExplicitUnknown(Counter<E>, E) Distribution
Creates a Good-Turing smoothed Distribution from the given counter without
creating any reserved mass-- instead, the special object UNK in the counter
is assumed to be the count of "UNSEEN" items.
GoogleNGramsSQLBacked edu.stanford.nlp.util
To query Google Ngrams counts from SQL in a memory efficient manner.
GoogleNGramsSQLBacked() GoogleNGramsSQLBacked
gov() TypedDependency
governor(Properties, int, SemanticGraphFactory.Mode) Sentence
Returns the governor of the given index, according to the passed dependency type.
governor(Properties, int) Sentence
governor(int, SemanticGraphFactory.Mode) Sentence
governor(int) Sentence
governor() Token
governor() Dependency
Describes the governor (regent/head) of the dependency relation.
GOVERNOR GrammaticalRelation
The "governor" grammatical relation, which is the inverse of "dependent".
governor() UnnamedDependency
GovernorAnnotation() CoreAnnotations.GovernorAnnotation
governors(Properties, SemanticGraphFactory.Mode) Sentence
Returns the governors of a sentence, according to the passed dependency type.
governors(Properties) Sentence
governors(SemanticGraphFactory.Mode) Sentence
governors() Sentence
govToDepMap(List<TypedDependency>) Dependencies
gPA TrainOptions
This variable controls doing 2 levels of parent annotation.
gpaAD ChineseTreebankParserParams
Grandparent annotate all AD.
gpaRootVP EnglishTreebankParserParams.EnglishTrain
Grand-parent annotate (root mark) VP below ROOT.
GPEPronouns Dictionaries
GPEPronouns Dictionaries
GPEPronounsEn WordLists
GPEPronounsZh WordLists
grad StochasticMinimizer
gradientCheck() AbstractCachingDiffFunction
gradientCheck(int, int, double[]) AbstractCachingDiffFunction
gradientDebug SeqClassifierFlags
gradientsOnly CRFNonLinearLogConditionalObjectiveFunction
gradList StochasticMinimizer
gradPerturbed AbstractStochasticCachingDiffFunction
GrammarCompactor edu.stanford.nlp.parser.lexparser
GrammarCompactor(Options) GrammarCompactor
GrammarProjection edu.stanford.nlp.parser.lexparser
Maps between the states of a more split and less split grammar.
GrammaticalFunctionTreeNormalizer edu.stanford.nlp.trees
Tree normalizer for cleaning up labels and preserving the whole node label,
the grammatical function and category information from the label, or only
the category information.
GrammaticalFunctionTreeNormalizer(TreebankLanguagePack, int) GrammaticalFunctionTreeNormalizer
GrammaticalRelation edu.stanford.nlp.trees
GrammaticalRelation is used to define a
standardized, hierarchical set of grammatical relations,
together with patterns for identifying them in
parse trees.
GrammaticalRelation(Language, String, String, GrammaticalRelation, String, TregexPatternCompiler, String...) GrammaticalRelation
GrammaticalRelation(Language, String, String, GrammaticalRelation) GrammaticalRelation
GrammaticalRelation(Language, String, String, GrammaticalRelation, String) GrammaticalRelation
GrammaticalStructure edu.stanford.nlp.trees
A GrammaticalStructure stores dependency relations between
nodes in a tree.
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, Lock, TreeTransformer, HeadFinder, Predicate<String>, Predicate<String>) GrammaticalStructure
Create a new GrammaticalStructure, analyzing the parse tree and
populate the GrammaticalStructure with as many labeled
grammatical relation arcs as possible.
GrammaticalStructure(List<TypedDependency>, TreeGraphNode) GrammaticalStructure
GrammaticalStructure.Extras edu.stanford.nlp.trees
A specification for the types of extra edges to add to the dependency tree.
GrammaticalStructureConversionUtils edu.stanford.nlp.trees
Contains several utility methods to convert constituency trees to
dependency trees.
GrammaticalStructureConversionUtils.ConverterOptions edu.stanford.nlp.trees
Enum to identify the different TokenizerTypes.
grammaticalStructureFactory() AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFactory edu.stanford.nlp.trees
grammaticalStructureFactory() ChineseTreebankLanguagePack
grammaticalStructureFactory(Predicate<String>) ChineseTreebankLanguagePack
grammaticalStructureFactory(Predicate<String>, HeadFinder) ChineseTreebankLanguagePack
grammaticalStructureFactory() PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) PennTreebankLanguagePack
grammaticalStructureFactory() TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFromDependenciesFactory edu.stanford.nlp.trees
An interface for a factory that builds a GrammaticalStructure from
a list of TypedDependencies and a TreeGraphNode.
GrandparentAnnotation() CoreAnnotations.GrandparentAnnotation
Graph V ,E > - Interface in edu.stanford.nlp.graph
GREATER RobustTokenizer
greedyness(Properties) NeuralCorefProperties
greekifyNGrams SeqClassifierFlags
GREEN ClassifierExample
GREEN Redwood.Util
GroundedTime(SUTime.Time, ReadableInstant) SUTime.GroundedTime
GroundedTime(ReadableInstant) SUTime.GroundedTime
group() BasicSequenceMatchResult
group(int) BasicSequenceMatchResult
group(String) BasicSequenceMatchResult
group(String) SequenceMatchResult
Returns the String representing the matched group.
group(Iterable<V>, Comparator<V>) Iterables
Groups consecutive elements from the given iterable based on the value
in the given comparator.
GROUP_AFTER_MATCH SequenceMatchResult
GROUP_BEFORE_MATCH SequenceMatchResult
GROUP_FIELD TokensRegexNERAnnotator
groupByFeatureTemplate SeqClassifierFlags
groupByHiddenUnit SeqClassifierFlags
groupByInput SeqClassifierFlags
groupByOutputClass SeqClassifierFlags
groupCount() BasicSequenceMatchResult
groupInfo() BasicSequenceMatchResult
groupInfo(int) BasicSequenceMatchResult
groupInfo(String) BasicSequenceMatchResult
groupInfo(int) SequenceMatcher
groupInfo() SequenceMatchResult
groupInfo(int) SequenceMatchResult
groupInfo(String) SequenceMatchResult
GroupMatchReplacement(int) SequenceMatcher.GroupMatchReplacement
groupMatchResult(int, int) BasicSequenceMatchResult
groupMatchResult(String, int) BasicSequenceMatchResult
groupMatchResult(int, int) SequenceMatcher
groupMatchResult(int, int) SequenceMatchResult
Returns an Object representing the result for the match for a particular node in a group.
groupMatchResult(String, int) SequenceMatchResult
Returns an Object representing the result for the match for a particular node in a group.
groupMatchResults() BasicSequenceMatchResult
groupMatchResults(int) BasicSequenceMatchResult
groupMatchResults(String) BasicSequenceMatchResult
groupMatchResults(int) SequenceMatcher
groupMatchResults() SequenceMatchResult
Returns a list of Objects representing the match results for the entire sequence.
groupMatchResults(int) SequenceMatchResult
Returns a list of Objects representing the match results for the nodes in the group.
groupMatchResults(String) SequenceMatchResult
Returns a list of Objects representing the match results for the nodes in the group.
groupNodes() BasicSequenceMatchResult
groupNodes(int) BasicSequenceMatchResult
groupNodes(String) BasicSequenceMatchResult
groupNodes(int) SequenceMatcher
groupNodes() SequenceMatchResult
Returns the entire matched subsequence as a list.
groupNodes(int) SequenceMatchResult
Returns the matched group as a list.
groupNodes(String) SequenceMatchResult
Returns the matched group as a list.
GroupPatternExpr(SequencePattern.PatternExpr) SequencePattern.GroupPatternExpr
GroupPatternExpr(SequencePattern.PatternExpr, boolean) SequencePattern.GroupPatternExpr
GroupPatternExpr(SequencePattern.PatternExpr, String) SequencePattern.GroupPatternExpr
GroupToIntervalFunc(int) SequenceMatchResult.GroupToIntervalFunc
groupValue() BasicSequenceMatchResult
groupValue(int) BasicSequenceMatchResult
groupValue(String) BasicSequenceMatchResult
groupValue(int) SequenceMatcher
groupValue() SequenceMatchResult
Returns the value (some Object) associated with the entire matched sequence.
groupValue(int) SequenceMatchResult
Returns the value (some Object) associated with the captured group.
groupValue(String) SequenceMatchResult
Returns the value (some Object) associated with the captured group.
guessNER(List<CoreLabel>, Span) Util
TODO(gabor) JavaDoc
guessNER(List<CoreLabel>) Util
TODO(gabor) JavaDoc
gui() ConfusionMatrix
Show the confusion matrix in a GUI.
GUTIME_OUTPUT_RESULTS GUTimeAnnotator
GUTIME_PATH_PROPERTY GUTimeAnnotator
GUTimeAnnotator edu.stanford.nlp.time
Annotates text using GUTime perl script.
GUTimeAnnotator() GUTimeAnnotator
GUTimeAnnotator(File) GUTimeAnnotator
GUTimeAnnotator(String, Properties) GUTimeAnnotator
gzipFile(File, File) FileSystem
Similar to the unix gzip command, only it does not delete the file after compressing it.
halfday SUTime.IsoTime
HALFDAY_AM SUTime
HALFDAY_PM SUTime
HALFDAY_UNKNOWN SUTime
HALFHOUR SUTime
HALFYEAR SUTime
HalfYearOfYear JodaTimeUtils
HalfYears JodaTimeUtils
handle(HttpExchange) StanfordCoreNLPServer.CoreNLPHandler
handle(HttpExchange) StanfordCoreNLPServer.FileHandler
handle(HttpExchange) StanfordCoreNLPServer.LiveHandler
handle(HttpExchange) StanfordCoreNLPServer.PingHandler
handle(HttpExchange) StanfordCoreNLPServer.ReadyHandler handle(HttpExchange) StanfordCoreNLPServer.SemgrexHandler
handle(HttpExchange) StanfordCoreNLPServer.ShutdownHandler
handle(HttpExchange) StanfordCoreNLPServer.TokensRegexHandler
handle(HttpExchange) StanfordCoreNLPServer.TregexHandler
handle(Redwood.Record) BooleanLogRecordHandler
For BooleanLogRecordHandler, you should leave this alone and implement propagateRecord instead.
handle(Redwood.Record) LogRecordHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) OutputHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) RepeatedRecordHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) RerouteChannel
handle(Redwood.Record) SLF4JHandler
Override the raw handle method, as potentially we are dropping log levels in SLF4J
and we do not want to render the resulting message.
handle(Redwood.Record) VisibilityHandler
Handle a log Record, either as a filter or by producing a side effect.
handleDependencies(String, OutputStream, String) LexicalizedParserServer
handleLemma(String, OutputStream) LexicalizedParserServer
handleParse(String, OutputStream, boolean) LexicalizedParserServer
Returns the result of applying the parser to arg as a string.
handleQuit() LexicalizedParserServer
Tells the server to exit.
handlers(RedwoodConfiguration.Thunk...) RedwoodConfiguration
Add handlers to Redwood.
Handlers() RedwoodConfiguration.Handlers
handleTokenize(String, OutputStream) LexicalizedParserServer
handleTree(String, OutputStream) LexicalizedParserServer
Returns the result of applying the parser to arg as a serialized tree.
HARD_SPLITS ClauseSplitterSearchProblem
A specification for clause splits we _always_ want to do.
hardcodeSoftmaxOutputWeights SeqClassifierFlags
hasAdjSuffix(String) FrenchUnknownWordSignatures
hasAdverbSuffix(String) SpanishUnknownWordSignatures
hasAdvSuffix(String) FrenchUnknownWordSignatures
hasAfter() CoreNLPProtos.Token.Builder
The whitespace/xml after the token
hasAfter() CoreNLPProtos.Token
The whitespace/xml after the token
hasAfter() CoreNLPProtos.TokenOrBuilder
The whitespace/xml after the token
hasAlternativeDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
hasAlternativeDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
hasAlternativeDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
hasAltValue() CoreNLPProtos.Timex.Builder
optional string altValue = 2;
hasAltValue() CoreNLPProtos.Timex
optional string altValue = 2;
hasAltValue() CoreNLPProtos.TimexOrBuilder
optional string altValue = 2;
hasAnimacy() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
hasAnimacy() CoreNLPProtos.CorefChain.CorefMention
optional string animacy = 5;
hasAnimacy() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string animacy = 5;
hasAnimacy() CoreNLPProtos.Mention.Builder
optional string animacy = 5;
hasAnimacy() CoreNLPProtos.Mention
optional string animacy = 5;
hasAnimacy() CoreNLPProtos.MentionOrBuilder
optional string animacy = 5;
hasAnnotatedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
hasAnnotatedParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
hasAnnotatedParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
hasAnswer() CoreNLPProtos.Token.Builder
A temporary annotation which is occasionally left in
hasAnswer() CoreNLPProtos.Token
A temporary annotation which is occasionally left in
hasAnswer() CoreNLPProtos.TokenOrBuilder
A temporary annotation which is occasionally left in
hasAssumedTruth() CoreNLPProtos.SentenceFragment.Builder
optional bool assumedTruth = 3;
hasAssumedTruth() CoreNLPProtos.SentenceFragment
optional bool assumedTruth = 3;
hasAssumedTruth() CoreNLPProtos.SentenceFragmentOrBuilder
optional bool assumedTruth = 3;
hasAttributionDependencyGraph() CoreNLPProtos.Quote.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
hasAttributionDependencyGraph() CoreNLPProtos.Quote
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
hasAttributionDependencyGraph() CoreNLPProtos.QuoteOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
hasAuthor() CoreNLPProtos.Quote.Builder
optional string author = 11;
hasAuthor() CoreNLPProtos.Quote
optional string author = 11;
hasAuthor() CoreNLPProtos.QuoteOrBuilder
optional string author = 11;
hasAuthor() CoreNLPProtos.Section.Builder
optional string author = 3;
hasAuthor() CoreNLPProtos.Section
optional string author = 3;
hasAuthor() CoreNLPProtos.SectionOrBuilder
optional string author = 3;
hasAuthorCharBegin() CoreNLPProtos.Section.Builder
optional uint32 authorCharBegin = 7;
hasAuthorCharBegin() CoreNLPProtos.Section
optional uint32 authorCharBegin = 7;
hasAuthorCharBegin() CoreNLPProtos.SectionOrBuilder
optional uint32 authorCharBegin = 7;
hasAuthorCharEnd() CoreNLPProtos.Section.Builder
optional uint32 authorCharEnd = 8;
hasAuthorCharEnd() CoreNLPProtos.Section
optional uint32 authorCharEnd = 8;
hasAuthorCharEnd() CoreNLPProtos.SectionOrBuilder
optional uint32 authorCharEnd = 8;
hasBasicDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
hasBasicDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
hasBasicDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
HASBASICDEPENDENCY_FIELD_NUMBER CoreNLPProtos.Mention
hasBefore() CoreNLPProtos.Token.Builder
The whitespace/xml before the token
hasBefore() CoreNLPProtos.Token
The whitespace/xml before the token
hasBefore() CoreNLPProtos.TokenOrBuilder
The whitespace/xml before the token
hasBegin() CoreNLPProtos.Quote.Builder
optional uint32 begin = 2;
hasBegin() CoreNLPProtos.Quote
optional uint32 begin = 2;
hasBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 begin = 2;
hasBegin() CoreNLPProtos.Span.Builder
required uint32 begin = 1;
hasBegin() CoreNLPProtos.Span
required uint32 begin = 1;
hasBegin() CoreNLPProtos.SpanOrBuilder
required uint32 begin = 1;
hasBeginChar() CoreNLPProtos.Token.Builder
The character offset begin, in the document
hasBeginChar() CoreNLPProtos.Token
The character offset begin, in the document
hasBeginChar() CoreNLPProtos.TokenOrBuilder
The character offset begin, in the document
hasBeginIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 beginIndex = 6;
hasBeginIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 beginIndex = 6;
hasBeginIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 beginIndex = 6;
hasBeginIndex() CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
hasBeginIndex() CoreNLPProtos.Token
The begin index of, e.g., a span
hasBeginIndex() CoreNLPProtos.TokenOrBuilder
The begin index of, e.g., a span
hasBeginPoint() CoreNLPProtos.Timex.Builder
optional uint32 beginPoint = 6;
hasBeginPoint() CoreNLPProtos.Timex
optional uint32 beginPoint = 6;
hasBeginPoint() CoreNLPProtos.TimexOrBuilder
optional uint32 beginPoint = 6;
hasBinarizedParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
hasBinarizedParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
hasBinarizedParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
hasCalendar() CoreNLPProtos.Document.Builder
optional uint64 calendar = 8;
hasCalendar() CoreNLPProtos.Document
optional uint64 calendar = 8;
hasCalendar() CoreNLPProtos.DocumentOrBuilder
optional uint64 calendar = 8;
hasCanonicalEntityMentionIndex() CoreNLPProtos.NERMention.Builder
optional uint32 canonicalEntityMentionIndex = 11;
hasCanonicalEntityMentionIndex() CoreNLPProtos.NERMention
optional uint32 canonicalEntityMentionIndex = 11;
hasCanonicalEntityMentionIndex() CoreNLPProtos.NERMentionOrBuilder
optional uint32 canonicalEntityMentionIndex = 11;
hasCanonicalMention() CoreNLPProtos.Quote.Builder
optional string canonicalMention = 19;
hasCanonicalMention() CoreNLPProtos.Quote
optional string canonicalMention = 19;
hasCanonicalMention() CoreNLPProtos.QuoteOrBuilder
optional string canonicalMention = 19;
hasCanonicalMentionBegin() CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionBegin = 20;
hasCanonicalMentionBegin() CoreNLPProtos.Quote
optional uint32 canonicalMentionBegin = 20;
hasCanonicalMentionBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 canonicalMentionBegin = 20;
hasCanonicalMentionEnd() CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionEnd = 21;
hasCanonicalMentionEnd() CoreNLPProtos.Quote
optional uint32 canonicalMentionEnd = 21;
hasCanonicalMentionEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 canonicalMentionEnd = 21;
hasCanonicalSpeaker CoreQuote
HasCategory edu.stanford.nlp.ling
Something that implements the HasCategory interface
knows about categories.
hasCategory() CoreNLPProtos.Token.Builder
The word's 'category' (e.g., parse tree node)
hasCategory() CoreNLPProtos.Token
The word's 'category' (e.g., parse tree node)
hasCategory() CoreNLPProtos.TokenOrBuilder
The word's 'category' (e.g., parse tree node)
hasChainID() CoreNLPProtos.CorefChain.Builder
required int32 chainID = 1;
hasChainID() CoreNLPProtos.CorefChain
required int32 chainID = 1;
hasChainID() CoreNLPProtos.CorefChainOrBuilder
required int32 chainID = 1;
HasChannel(Object) LogFilter.HasChannel
hasChapterIndex() CoreNLPProtos.Sentence.Builder
quote stuff
hasChapterIndex() CoreNLPProtos.Sentence
quote stuff
hasChapterIndex() CoreNLPProtos.SentenceOrBuilder
quote stuff
hasCharacterOffsetBegin() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetBegin = 5;
hasCharacterOffsetBegin() CoreNLPProtos.Sentence
optional uint32 characterOffsetBegin = 5;
hasCharacterOffsetBegin() CoreNLPProtos.SentenceOrBuilder
optional uint32 characterOffsetBegin = 5;
hasCharacterOffsetEnd() CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetEnd = 6;
hasCharacterOffsetEnd() CoreNLPProtos.Sentence
optional uint32 characterOffsetEnd = 6;
hasCharacterOffsetEnd() CoreNLPProtos.SentenceOrBuilder
optional uint32 characterOffsetEnd = 6;
hasCharacterOffsets(CoreMap) ChunkAnnotationUtils
hasCharBegin() CoreNLPProtos.Section.Builder
required uint32 charBegin = 1;
hasCharBegin() CoreNLPProtos.Section
required uint32 charBegin = 1;
hasCharBegin() CoreNLPProtos.SectionOrBuilder
required uint32 charBegin = 1;
hasCharEnd() CoreNLPProtos.Section.Builder
required uint32 charEnd = 2;
hasCharEnd() CoreNLPProtos.Section
required uint32 charEnd = 2;
hasCharEnd() CoreNLPProtos.SectionOrBuilder
required uint32 charEnd = 2;
hasChild(IndexedWord, GrammaticalRelation, String) SemanticGraph
Does the given vertex have at least one child with the given reln and the lemma childLemma?
hasChildren(IndexedWord) SemanticGraph
hasChildWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Does the given vertex have at least one child with the given reln?
hasChineseChar() CoreNLPProtos.Token.Builder
Chinese character info
hasChineseChar() CoreNLPProtos.Token
Chinese character info
hasChineseChar() CoreNLPProtos.TokenOrBuilder
Chinese character info
hasChineseSeg() CoreNLPProtos.Token.Builder
optional string chineseSeg = 55;
hasChineseSeg() CoreNLPProtos.Token
optional string chineseSeg = 55;
hasChineseSeg() CoreNLPProtos.TokenOrBuilder
optional string chineseSeg = 55;
hasChineseXMLChar() CoreNLPProtos.Token.Builder
optional string chineseXMLChar = 60;
hasChineseXMLChar() CoreNLPProtos.Token
optional string chineseXMLChar = 60;
hasChineseXMLChar() CoreNLPProtos.TokenOrBuilder
optional string chineseXMLChar = 60;
HasCliquePotentialFunction edu.stanford.nlp.ie.crf
Indicates that this function can build a clique potential function for external use
hasCoarseNER() CoreNLPProtos.Token.Builder
The word's coarse NER tag
hasCoarseNER() CoreNLPProtos.Token
The word's coarse NER tag
hasCoarseNER() CoreNLPProtos.TokenOrBuilder
The word's coarse NER tag
hasCoarseTag() CoreNLPProtos.Token.Builder
The coarse POS tag (used to store the UPOS tag)
hasCoarseTag() CoreNLPProtos.Token
The coarse POS tag (used to store the UPOS tag)
hasCoarseTag() CoreNLPProtos.TokenOrBuilder
The coarse POS tag (used to store the UPOS tag)
hasCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
hasCollapsedCCProcessedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
hasCollapsedCCProcessedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
hasCollapsedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
hasCollapsedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
hasCollapsedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
hasConditionalSuffix(String) SpanishUnknownWordSignatures
hasConfidence() CoreNLPProtos.RelationTriple.Builder
The [optional] confidence of the extraction
hasConfidence() CoreNLPProtos.RelationTriple
The [optional] confidence of the extraction
hasConfidence() CoreNLPProtos.RelationTripleOrBuilder
The [optional] confidence of the extraction
hasConllUFeatures() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
hasConllUFeatures() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
hasConllUFeatures() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
hasConllUMisc() CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
hasConllUMisc() CoreNLPProtos.Token
optional string conllUMisc = 35;
hasConllUMisc() CoreNLPProtos.TokenOrBuilder
optional string conllUMisc = 35;
hasConllUSecondaryDeps() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
hasConllUSecondaryDeps() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
hasConllUSecondaryDeps() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
hasConllUTokenSpan() CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
hasConllUTokenSpan() CoreNLPProtos.Token
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
hasConllUTokenSpan() CoreNLPProtos.TokenOrBuilder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
HasContext edu.stanford.nlp.ling
HASCONTEXTPARSETREE_FIELD_NUMBER CoreNLPProtos.Mention
hasCopyAnnotation() CoreNLPProtos.DependencyGraph.Node.Builder
optional uint32 copyAnnotation = 3;
hasCopyAnnotation() CoreNLPProtos.DependencyGraph.Node
optional uint32 copyAnnotation = 3;
hasCopyAnnotation() CoreNLPProtos.DependencyGraph.NodeOrBuilder
optional uint32 copyAnnotation = 3;
hasCopyCount() CoreNLPProtos.IndexedWord.Builder
optional uint32 copyCount = 4;
hasCopyCount() CoreNLPProtos.IndexedWord
optional uint32 copyCount = 4;
hasCopyCount() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 copyCount = 4;
HASCOREFANNOTATION_FIELD_NUMBER CoreNLPProtos.Document
hasCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 corefClusterID = 15;
hasCorefClusterID() CoreNLPProtos.Mention
optional int32 corefClusterID = 15;
hasCorefClusterID() CoreNLPProtos.MentionOrBuilder
optional int32 corefClusterID = 15;
hasCorefClusterID() CoreNLPProtos.Token.Builder
The [primary] cluster id for this token
hasCorefClusterID() CoreNLPProtos.Token
The [primary] cluster id for this token
hasCorefClusterID() CoreNLPProtos.TokenOrBuilder
The [primary] cluster id for this token
hasCorefID() CoreNLPProtos.Entity.Builder
optional string corefID = 11;
hasCorefID() CoreNLPProtos.Entity
optional string corefID = 11;
hasCorefID() CoreNLPProtos.EntityOrBuilder
optional string corefID = 11;
HASCOREFMENTIONANNOTATION_FIELD_NUMBER CoreNLPProtos.Document
HASCOREFMENTIONSANNOTATION_FIELD_NUMBER CoreNLPProtos.Sentence
hasDatetime() CoreNLPProtos.Section.Builder
optional string datetime = 5;
hasDatetime() CoreNLPProtos.Section
optional string datetime = 5;
hasDatetime() CoreNLPProtos.SectionOrBuilder
optional string datetime = 5;
hasDep() CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
hasDep() CoreNLPProtos.DependencyGraph.Edge
optional string dep = 3;
hasDep() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional string dep = 3;
hasDependingVerb() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
hasDependingVerb() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
hasDependingVerb() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
hasDigit(String) FrenchUnknownWordSignatures
hasDocDate() CoreNLPProtos.Document.Builder
optional string docDate = 7;
hasDocDate() CoreNLPProtos.Document
optional string docDate = 7;
hasDocDate() CoreNLPProtos.DocumentOrBuilder
optional string docDate = 7;
hasDocID() CoreNLPProtos.Document.Builder
optional string docID = 4;
hasDocID() CoreNLPProtos.Document
optional string docID = 4;
hasDocID() CoreNLPProtos.DocumentOrBuilder
optional string docID = 4;
hasDocID() CoreNLPProtos.IndexedWord.Builder
optional uint32 docID = 3;
hasDocID() CoreNLPProtos.IndexedWord
optional uint32 docID = 3;
hasDocID() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 docID = 3;
hasDocid() CoreNLPProtos.Quote.Builder
optional string docid = 9;
hasDocid() CoreNLPProtos.Quote
optional string docid = 9;
hasDocid() CoreNLPProtos.QuoteOrBuilder
optional string docid = 9;
hasDocID() CoreNLPProtos.Sentence.Builder
doc id
hasDocID() CoreNLPProtos.Sentence
doc id
hasDocID() CoreNLPProtos.SentenceOrBuilder
doc id
hasEnd() CoreNLPProtos.Quote.Builder
optional uint32 end = 3;
hasEnd() CoreNLPProtos.Quote
optional uint32 end = 3;
hasEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 end = 3;
hasEnd() CoreNLPProtos.Span.Builder
required uint32 end = 2;
hasEnd() CoreNLPProtos.Span
required uint32 end = 2;
hasEnd() CoreNLPProtos.SpanOrBuilder
required uint32 end = 2;
hasEndChar() CoreNLPProtos.Token.Builder
The character offset end, in the document
hasEndChar() CoreNLPProtos.Token
The character offset end, in the document
hasEndChar() CoreNLPProtos.TokenOrBuilder
The character offset end, in the document
hasEndIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 endIndex = 7;
hasEndIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 endIndex = 7;
hasEndIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 endIndex = 7;
hasEndIndex() CoreNLPProtos.Mention.Builder
optional uint32 endIndex = 9;
hasEndIndex() CoreNLPProtos.Mention
optional uint32 endIndex = 9;
hasEndIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 endIndex = 9;
hasEndIndex() CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
hasEndIndex() CoreNLPProtos.Token
The begin index of, e.g., a span
hasEndIndex() CoreNLPProtos.TokenOrBuilder
The begin index of, e.g., a span
hasEndPoint() CoreNLPProtos.Timex.Builder
optional uint32 endPoint = 7;
hasEndPoint() CoreNLPProtos.Timex
optional uint32 endPoint = 7;
hasEndPoint() CoreNLPProtos.TimexOrBuilder
optional uint32 endPoint = 7;
hasEnhancedDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
hasEnhancedDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
hasEnhancedDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
HASENHANCEDDEPENEDNCY_FIELD_NUMBER CoreNLPProtos.Mention
hasEnhancedPlusPlusDependencies() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
hasEnhancedPlusPlusDependencies() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
hasEnhancedPlusPlusDependencies() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
hasEntityMentionIndex() CoreNLPProtos.NERMention.Builder
optional uint32 entityMentionIndex = 10;
hasEntityMentionIndex() CoreNLPProtos.NERMention
optional uint32 entityMentionIndex = 10;
hasEntityMentionIndex() CoreNLPProtos.NERMentionOrBuilder
optional uint32 entityMentionIndex = 10;
hasEntityMentionIndex() CoreNLPProtos.Token.Builder
optional uint32 entityMentionIndex = 65;
hasEntityMentionIndex() CoreNLPProtos.Token
optional uint32 entityMentionIndex = 65;
hasEntityMentionIndex() CoreNLPProtos.TokenOrBuilder
optional uint32 entityMentionIndex = 65;
HASENTITYMENTIONSANNOTATION_FIELD_NUMBER CoreNLPProtos.Document
HASENTITYMENTIONSANNOTATION_FIELD_NUMBER CoreNLPProtos.Sentence
hasEntityMentionText() CoreNLPProtos.NERMention.Builder
optional string entityMentionText = 12;
hasEntityMentionText() CoreNLPProtos.NERMention
optional string entityMentionText = 12;
hasEntityMentionText() CoreNLPProtos.NERMentionOrBuilder
optional string entityMentionText = 12;
hasEntityType() CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
hasEntityType() CoreNLPProtos.NERMention
optional string entityType = 6;
hasEntityType() CoreNLPProtos.NERMentionOrBuilder
optional string entityType = 6;
HasEvaluators edu.stanford.nlp.optimization
Indicates that an minimizer supports evaluation periodically
hasExtentEnd() CoreNLPProtos.Entity.Builder
optional uint32 extentEnd = 3;
hasExtentEnd() CoreNLPProtos.Entity
optional uint32 extentEnd = 3;
hasExtentEnd() CoreNLPProtos.EntityOrBuilder
optional uint32 extentEnd = 3;
hasExtentEnd() CoreNLPProtos.Relation.Builder
optional uint32 extentEnd = 3;
hasExtentEnd() CoreNLPProtos.Relation
optional uint32 extentEnd = 3;
hasExtentEnd() CoreNLPProtos.RelationOrBuilder
optional uint32 extentEnd = 3;
hasExtentStart() CoreNLPProtos.Entity.Builder
optional uint32 extentStart = 2;
hasExtentStart() CoreNLPProtos.Entity
optional uint32 extentStart = 2;
hasExtentStart() CoreNLPProtos.EntityOrBuilder
optional uint32 extentStart = 2;
hasExtentStart() CoreNLPProtos.Relation.Builder
optional uint32 extentStart = 2;
hasExtentStart() CoreNLPProtos.Relation
optional uint32 extentStart = 2;
hasExtentStart() CoreNLPProtos.RelationOrBuilder
optional uint32 extentStart = 2;
hasFactoredParse() ParserQuery
hasFactoredParse() LexicalizedParserQuery
hasFactoredParse() RerankingParserQuery
hasFactoredParse() ShiftReduceParserQuery
hasFeature(MorphoFeatureSpecification.MorphoFeatureType) MorphoFeatures
HasFeatureGrouping edu.stanford.nlp.optimization
Indicates that an minimizer supports grouping features for g-lasso or ae-lasso
hasFeminineSuffix(String) SpanishUnknownWordSignatures
hasField(ReadablePartial, DateTimeFieldType) JodaTimeUtils
hasField(ReadablePeriod, DurationFieldType) JodaTimeUtils
hasFineGrainedNER() CoreNLPProtos.Token.Builder
The word's fine-grained NER tag
hasFineGrainedNER() CoreNLPProtos.Token
The word's fine-grained NER tag
hasFineGrainedNER() CoreNLPProtos.TokenOrBuilder
The word's fine-grained NER tag
HasFloatInitial edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
hasFont(String) FontDetector
hasGender() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
hasGender() CoreNLPProtos.CorefChain.CorefMention
optional string gender = 4;
hasGender() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string gender = 4;
hasGender() CoreNLPProtos.Mention.Builder
optional string gender = 4;
hasGender() CoreNLPProtos.Mention
optional string gender = 4;
hasGender() CoreNLPProtos.MentionOrBuilder
optional string gender = 4;
hasGender() CoreNLPProtos.NERMention.Builder
optional string gender = 9;
hasGender() CoreNLPProtos.NERMention
optional string gender = 9;
hasGender() CoreNLPProtos.NERMentionOrBuilder
optional string gender = 9;
hasGender() CoreNLPProtos.Token.Builder
Fields set by other annotators in CoreNLP
hasGender() CoreNLPProtos.Token
Fields set by other annotators in CoreNLP
hasGender() CoreNLPProtos.TokenOrBuilder
Fields set by other annotators in CoreNLP
hasGeneric() CoreNLPProtos.Mention.Builder
optional bool generic = 25;
hasGeneric() CoreNLPProtos.Mention
optional bool generic = 25;
hasGeneric() CoreNLPProtos.MentionOrBuilder
optional bool generic = 25;
hasGerundSuffix(String) SpanishUnknownWordSignatures
hasGoldCorefClusterID() CoreNLPProtos.Mention.Builder
optional int32 goldCorefClusterID = 14;
hasGoldCorefClusterID() CoreNLPProtos.Mention
optional int32 goldCorefClusterID = 14;
hasGoldCorefClusterID() CoreNLPProtos.MentionOrBuilder
optional int32 goldCorefClusterID = 14;
hash Clusterer.Cluster
HASH_MAP_CLASSNAME Generics
HASH_MAP_FACTORY MapFactory
HASH_MAP_PROPERTY Generics
HASH_SET_CLASSNAME Generics
HASH_SET_FACTORY CollectionFactory
HASH_SET_PROPERTY Generics
HashableCoreMap edu.stanford.nlp.util
An extension of
ArrayCoreMap with an immutable set of key,value
pairs that is used for equality and hashcode comparisons.
HashableCoreMap(Map<Class<? extends TypesafeMap.Key<?>>, Object>) HashableCoreMap
Creates an instance of HashableCoreMap with initial key,value pairs
for the immutable, hashable keys as provided in the given map.
HashableCoreMap(ArrayCoreMap, Set<Class<? extends TypesafeMap.Key<?>>>) HashableCoreMap
Creates an instance by copying values from the given other CoreMap,
using the values it associates with the given set of hashkeys for
the immutable, hashable keys used by hashcode and equals.
HashableCoreMap.HashableCoreMapException edu.stanford.nlp.util
An exception thrown when attempting to change the value associated
with an (immutable) hash key in a HashableCoreMap.
HashableCoreMapException(String) HashableCoreMap.HashableCoreMapException
hasHasBasicDependency() CoreNLPProtos.Mention.Builder
optional bool hasBasicDependency = 27;
hasHasBasicDependency() CoreNLPProtos.Mention
optional bool hasBasicDependency = 27;
hasHasBasicDependency() CoreNLPProtos.MentionOrBuilder
optional bool hasBasicDependency = 27;
hasHasContextParseTree() CoreNLPProtos.Mention.Builder
optional bool hasContextParseTree = 29;
hasHasContextParseTree() CoreNLPProtos.Mention
optional bool hasContextParseTree = 29;
hasHasContextParseTree() CoreNLPProtos.MentionOrBuilder
optional bool hasContextParseTree = 29;
hasHasCorefAnnotation() CoreNLPProtos.Document.Builder
optional bool hasCorefAnnotation = 16;
hasHasCorefAnnotation() CoreNLPProtos.Document
optional bool hasCorefAnnotation = 16;
hasHasCorefAnnotation() CoreNLPProtos.DocumentOrBuilder
optional bool hasCorefAnnotation = 16;
hasHasCorefMentionAnnotation() CoreNLPProtos.Document.Builder
optional bool hasCorefMentionAnnotation = 15;
hasHasCorefMentionAnnotation() CoreNLPProtos.Document
optional bool hasCorefMentionAnnotation = 15;
hasHasCorefMentionAnnotation() CoreNLPProtos.DocumentOrBuilder
optional bool hasCorefMentionAnnotation = 15;
hasHasCorefMentionsAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasCorefMentionsAnnotation = 57;
hasHasCorefMentionsAnnotation() CoreNLPProtos.Sentence
optional bool hasCorefMentionsAnnotation = 57;
hasHasCorefMentionsAnnotation() CoreNLPProtos.SentenceOrBuilder
optional bool hasCorefMentionsAnnotation = 57;
hasHasEnhancedDepenedncy() CoreNLPProtos.Mention.Builder
optional bool hasEnhancedDepenedncy = 28;
hasHasEnhancedDepenedncy() CoreNLPProtos.Mention
optional bool hasEnhancedDepenedncy = 28;
hasHasEnhancedDepenedncy() CoreNLPProtos.MentionOrBuilder
optional bool hasEnhancedDepenedncy = 28;
hasHasEntityMentionsAnnotation() CoreNLPProtos.Document.Builder
used to differentiate between null and empty list
hasHasEntityMentionsAnnotation() CoreNLPProtos.Document
used to differentiate between null and empty list
hasHasEntityMentionsAnnotation() CoreNLPProtos.DocumentOrBuilder
used to differentiate between null and empty list
hasHasEntityMentionsAnnotation() CoreNLPProtos.Sentence.Builder
check if there are entity mentions
hasHasEntityMentionsAnnotation() CoreNLPProtos.Sentence
check if there are entity mentions
hasHasEntityMentionsAnnotation() CoreNLPProtos.SentenceOrBuilder
check if there are entity mentions
hasHasKBPTriplesAnnotation() CoreNLPProtos.Sentence.Builder
check if there are KBP triples
hasHasKBPTriplesAnnotation() CoreNLPProtos.Sentence
check if there are KBP triples
hasHasKBPTriplesAnnotation() CoreNLPProtos.SentenceOrBuilder
check if there are KBP triples
hasHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence.Builder
optional bool hasNumerizedTokensAnnotation = 54;
hasHasNumerizedTokensAnnotation() CoreNLPProtos.Sentence
optional bool hasNumerizedTokensAnnotation = 54;
hasHasNumerizedTokensAnnotation() CoreNLPProtos.SentenceOrBuilder
optional bool hasNumerizedTokensAnnotation = 54;
hasHasOpenieTriplesAnnotation() CoreNLPProtos.Sentence.Builder
check if there are OpenIE triples
hasHasOpenieTriplesAnnotation() CoreNLPProtos.Sentence
check if there are OpenIE triples
hasHasOpenieTriplesAnnotation() CoreNLPProtos.SentenceOrBuilder
check if there are OpenIE triples
hasHasRelationAnnotations() CoreNLPProtos.Sentence.Builder
Fields set by other annotators in CoreNLP
hasHasRelationAnnotations() CoreNLPProtos.Sentence
Fields set by other annotators in CoreNLP
hasHasRelationAnnotations() CoreNLPProtos.SentenceOrBuilder
Fields set by other annotators in CoreNLP
hasHasTwin() CoreNLPProtos.Mention.Builder
optional bool hasTwin = 24;
hasHasTwin() CoreNLPProtos.Mention
optional bool hasTwin = 24;
hasHasTwin() CoreNLPProtos.MentionOrBuilder
optional bool hasTwin = 24;
hasHasXmlContext() CoreNLPProtos.Token.Builder
Used by clean xml annotator
hasHasXmlContext() CoreNLPProtos.Token
Used by clean xml annotator
hasHasXmlContext() CoreNLPProtos.TokenOrBuilder
Used by clean xml annotator
hashCode() CorefChain.CorefMention
hashCode() CorefChain
hashCode() Mention
hashCode() CorefChain.CorefMention
hashCode() CorefChain
hashCode() DFSAState
hashCode() TransducerGraph.Arc
hashCode() DirectedMultiGraph
Be careful hashing these.
hashCode() CRFDatum
hashCode() CRFLabel
hashCode() EntityMention
hashCode() EventMention
hashCode() RelationMention
hashCode() Span
hashCode() RelationTriple hashCode() BasicDatum
hashCode() IndexedWord
This hashCode uses only the docID, sentenceIndex, and index.
hashCode() MultiTokenTag
hashCode() MultiTokenTag.Tag
hashCode() RVFDatum hashCode() ApproxMatch
hashCode() Match
hashCode() Expressions.FunctionCallExpression
hashCode() Expressions.MethodCallExpression
hashCode() Expressions.SimpleCachedExpression
hashCode() Expressions.SimpleExpression
hashCode() Expressions.SimpleValue
hashCode() Expressions.TypedExpression
hashCode() Expressions.VarAssignmentExpression
hashCode() Expressions.WrappedExpression
hashCode() Tags
hashCode() ValueLabel
Return the hashCode of the String value providing there is one.
hashCode() WordLemmaTag
hashCode() WordTag
hashCode() DoubleAD
hashCode() OperatorSpec
hashCode() Polarity
hashCode() SentenceFragment
hashCode() VectorMap
hashCode() BinaryRule
hashCode() Edge
hashCode() Hook
hashCode() IntDependency
hashCode() IntTaggedWord
hashCode() UnaryRule
hashCode() BinaryTransition
hashCode() CompoundUnaryTransition
hashCode() FinalizeTransition
hashCode() IdleTransition
hashCode() ShiftTransition
hashCode() UnaryTransition
hashCode() CandidatePhrase
hashCode() DepPattern
hashCode() ExtractedPhrase
hashCode() PatternToken
hashcode SurfacePattern
hashCode() SurfacePattern
hashCode() Token
hashCode() CoreNLPProtos.CorefChain.CorefMention
hashCode() CoreNLPProtos.CorefChain
hashCode() CoreNLPProtos.DependencyGraph.Edge
hashCode() CoreNLPProtos.DependencyGraph
hashCode() CoreNLPProtos.DependencyGraph.Node
hashCode() CoreNLPProtos.Document
hashCode() CoreNLPProtos.Entity
hashCode() CoreNLPProtos.IndexedWord
hashCode() CoreNLPProtos.MapIntString
hashCode() CoreNLPProtos.MapStringString
hashCode() CoreNLPProtos.Mention
hashCode() CoreNLPProtos.NERMention
hashCode() CoreNLPProtos.Operator
hashCode() CoreNLPProtos.ParseTree
hashCode() CoreNLPProtos.Polarity
hashCode() CoreNLPProtos.Quote
hashCode() CoreNLPProtos.Relation
hashCode() CoreNLPProtos.RelationTriple
hashCode() CoreNLPProtos.Section
hashCode() CoreNLPProtos.Sentence
hashCode() CoreNLPProtos.SentenceFragment
hashCode() CoreNLPProtos.Span
hashCode() CoreNLPProtos.SpeakerInfo
hashCode() CoreNLPProtos.Timex
hashCode() CoreNLPProtos.Token
hashCode() CoreNLPProtos.TokenLocation
hashCode() StanfordCoreNLP.AnnotatorSignature
hashCode() SemanticGraph
hashCode() SemanticGraphEdge
hashCode() SemanticGraphUtils.PositionedTree
TODO: verify this is correct
hashCode() Alignment
Defined on map only.
hashCode() SemgrexPattern
hashCode() Clique
hashCode() Document
hashCode() Sentence hashCode() ClassicCounter
Returns a hashCode which is the underlying Map's hashCode.
hashCode() Distribution
hashCode() IntCounter
hashCode() TwoDimensionalCounter
hashCode() TwoDimensionalIntCounter
hashCode() AmbiguityClass
hashCode() CountWrapper
hashCode() FeatureKey
hashCode() History
hashCode() SUTime.RelativeTime
hashCode() Timex
hashCode() Constituent
A hashCode for Constituents done by shifting and or'ing for speed.
hashCode() GrammaticalRelation
hashCode() NamedDependency
hashCode() Tree
Implements a hashCode for Tree's.
hashCode() TreeGraphNode
hashCode() TypedDependency
hashCode() UnnamedConcreteDependency
hashCode() UnnamedDependency
hashCode() ArrayCoreMap
Returns a composite hashCode over all the keys and values currently
stored in the map.
hashCode() ArrayMap
hashCode() ArrayStringFilter
hashCode() CollectionValuedMap
hashCode() HashableCoreMap
Provides a hash code based on the immutable keys and values provided
to the constructor.
hashCode() HashIndex
hashCode() Interval
hashCode() IntPair
hashCode() IntTuple
hashCode() MaxSizeConcurrentHashSet
hashCode() MetaClass.ClassFactory
hashCode() MetaClass
hashCode() MutableDouble
hashCode() MutableInteger
hashCode() MutableLong
hashCode() Pair
hashCode() Quadruple
hashCode() RegexStringFilter
hashCode() ScoredComparator
Return the hashCode: there are only two distinct comparators by
equals().
hashCode() TreeShapedStack
hashCode() Trilean hashCode() Triple
hashCode() TwoDimensionalMap
hashCode() TwoDimensionalSet
hashCodeCache ArrayMap
hasHeadEnd() CoreNLPProtos.Entity.Builder
optional uint32 headEnd = 7;
hasHeadEnd() CoreNLPProtos.Entity
optional uint32 headEnd = 7;
hasHeadEnd() CoreNLPProtos.EntityOrBuilder
optional uint32 headEnd = 7;
hasHeadIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 headIndex = 9;
hasHeadIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 headIndex = 9;
hasHeadIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 headIndex = 9;
hasHeadIndex() CoreNLPProtos.Mention.Builder
optional uint32 headIndex = 10;
hasHeadIndex() CoreNLPProtos.Mention
optional uint32 headIndex = 10;
hasHeadIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 headIndex = 10;
hasHeadIndexedWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
hasHeadIndexedWord() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
hasHeadIndexedWord() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
hasHeadStart() CoreNLPProtos.Entity.Builder
optional uint32 headStart = 6;
hasHeadStart() CoreNLPProtos.Entity
optional uint32 headStart = 6;
hasHeadStart() CoreNLPProtos.EntityOrBuilder
optional uint32 headStart = 6;
hasHeadString() CoreNLPProtos.Mention.Builder
optional string headString = 11;
hasHeadString() CoreNLPProtos.Mention
optional string headString = 11;
hasHeadString() CoreNLPProtos.MentionOrBuilder
optional string headString = 11;
hasHeadTokenIndex() CoreNLPProtos.Entity.Builder
optional uint32 headTokenIndex = 10;
hasHeadTokenIndex() CoreNLPProtos.Entity
optional uint32 headTokenIndex = 10;
hasHeadTokenIndex() CoreNLPProtos.EntityOrBuilder
optional uint32 headTokenIndex = 10;
hasHeadWord() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
hasHeadWord() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
hasHeadWord() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
hasHeadWordIndex() CoreNLPProtos.Token.Builder
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
hasHeadWordIndex() CoreNLPProtos.Token
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
hasHeadWordIndex() CoreNLPProtos.TokenOrBuilder
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
HashIndex E > - Class in edu.stanford.nlp.util
Implements an Index that supports constant-time lookup in
both directions (via get(int) and indexOf(E).
HashIndex() HashIndex
Creates a new Index.
HashIndex(int) HashIndex
Creates a new Index.
HashIndex(Supplier<List<E>>, Supplier<Map<E, Integer>>) HashIndex
Create a new HashIndex, backed by the given collection types.
HashIndex(Collection<? extends E>) HashIndex
Creates a new Index and adds every member of c to it.
HashIndex(Index<? extends E>) HashIndex
hashMap() TwoDimensionalMap
hashMapFactory() MapFactory
Return a MapFactory that returns a HashMap.
hashSet() TwoDimensionalSet
hashSetFactory() CollectionFactory
HashSetFactory() CollectionFactory.HashSetFactory
hasImperfectErIrSuffix(String) SpanishUnknownWordSignatures
hasImperfectSuffix(String) SpanishUnknownWordSignatures
HasIndex edu.stanford.nlp.ling
hasIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 index = 2;
hasIndex() CoreNLPProtos.DependencyGraph.Node
required uint32 index = 2;
hasIndex() CoreNLPProtos.DependencyGraph.NodeOrBuilder
required uint32 index = 2;
hasIndex() CoreNLPProtos.Quote.Builder
optional uint32 index = 10;
hasIndex() CoreNLPProtos.Quote
optional uint32 index = 10;
hasIndex() CoreNLPProtos.QuoteOrBuilder
optional uint32 index = 10;
hasInfinite(double[]) ArrayMath
hasInfinitiveSuffix(String) SpanishUnknownWordSignatures
HasInitial edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
HasInterval E extends Comparable <E >> - Interface in edu.stanford.nlp.util
HasInterval interface
hasIsDirectObject() CoreNLPProtos.Mention.Builder
optional bool isDirectObject = 21;
hasIsDirectObject() CoreNLPProtos.Mention
optional bool isDirectObject = 21;
hasIsDirectObject() CoreNLPProtos.MentionOrBuilder
optional bool isDirectObject = 21;
hasIsExtra() CoreNLPProtos.DependencyGraph.Edge.Builder
optional bool isExtra = 4;
hasIsExtra() CoreNLPProtos.DependencyGraph.Edge
optional bool isExtra = 4;
hasIsExtra() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional bool isExtra = 4;
hasIsIndirectObject() CoreNLPProtos.Mention.Builder
optional bool isIndirectObject = 22;
hasIsIndirectObject() CoreNLPProtos.Mention
optional bool isIndirectObject = 22;
hasIsIndirectObject() CoreNLPProtos.MentionOrBuilder
optional bool isIndirectObject = 22;
hasIsNewline() CoreNLPProtos.Token.Builder
optional bool isNewline = 38;
hasIsNewline() CoreNLPProtos.Token
optional bool isNewline = 38;
hasIsNewline() CoreNLPProtos.TokenOrBuilder
optional bool isNewline = 38;
hasIsPrepositionObject() CoreNLPProtos.Mention.Builder
optional bool isPrepositionObject = 23;
hasIsPrepositionObject() CoreNLPProtos.Mention
optional bool isPrepositionObject = 23;
hasIsPrepositionObject() CoreNLPProtos.MentionOrBuilder
optional bool isPrepositionObject = 23;
hasIsSingleton() CoreNLPProtos.Mention.Builder
optional bool isSingleton = 26;
hasIsSingleton() CoreNLPProtos.Mention
optional bool isSingleton = 26;
hasIsSingleton() CoreNLPProtos.MentionOrBuilder
optional bool isSingleton = 26;
hasIsSubject() CoreNLPProtos.Mention.Builder
optional bool isSubject = 20;
hasIsSubject() CoreNLPProtos.Mention
optional bool isSubject = 20;
hasIsSubject() CoreNLPProtos.MentionOrBuilder
optional bool isSubject = 20;
hasIstmod() CoreNLPProtos.RelationTriple.Builder
If true, this expresses an implicit tmod relation
hasIstmod() CoreNLPProtos.RelationTriple
If true, this expresses an implicit tmod relation
hasIstmod() CoreNLPProtos.RelationTripleOrBuilder
If true, this expresses an implicit tmod relation
HASKBPTRIPLESANNOTATION_FIELD_NUMBER CoreNLPProtos.Sentence
hasLanguage() CoreNLPProtos.DependencyGraph.Edge.Builder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
hasLanguage() CoreNLPProtos.DependencyGraph.Edge
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
hasLanguage() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
HasLemma edu.stanford.nlp.ling
Something that implements the HasLemma interface
knows about lemmas.
hasLemma() CoreNLPProtos.Token.Builder
The word's lemma
hasLemma() CoreNLPProtos.Token
The word's lemma
hasLemma() CoreNLPProtos.TokenOrBuilder
The word's lemma
hasLineNumber() CoreNLPProtos.Sentence.Builder
optional uint32 lineNumber = 20;
hasLineNumber() CoreNLPProtos.Sentence
optional uint32 lineNumber = 20;
hasLineNumber() CoreNLPProtos.SentenceOrBuilder
optional uint32 lineNumber = 20;
hasMasculineSuffix(String) SpanishUnknownWordSignatures
HasMatchingChild(TreebankLanguagePack, String) TreeFilters.HasMatchingChild
hasMention() CoreNLPProtos.Quote.Builder
optional string mention = 12;
hasMention() CoreNLPProtos.Quote
optional string mention = 12;
hasMention() CoreNLPProtos.QuoteOrBuilder
optional string mention = 12;
hasMentionBegin() CoreNLPProtos.Quote.Builder
optional uint32 mentionBegin = 13;
hasMentionBegin() CoreNLPProtos.Quote
optional uint32 mentionBegin = 13;
hasMentionBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 mentionBegin = 13;
hasMentionEnd() CoreNLPProtos.Quote.Builder
optional uint32 mentionEnd = 14;
hasMentionEnd() CoreNLPProtos.Quote
optional uint32 mentionEnd = 14;
hasMentionEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 mentionEnd = 14;
hasMentionID() CoreNLPProtos.CorefChain.CorefMention.Builder
optional int32 mentionID = 1;
hasMentionID() CoreNLPProtos.CorefChain.CorefMention
optional int32 mentionID = 1;
hasMentionID() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional int32 mentionID = 1;
hasMentionID() CoreNLPProtos.Mention.Builder
optional int32 mentionID = 1;
hasMentionID() CoreNLPProtos.Mention
optional int32 mentionID = 1;
hasMentionID() CoreNLPProtos.MentionOrBuilder
optional int32 mentionID = 1;
hasMentionNum() CoreNLPProtos.Mention.Builder
optional uint32 mentionNum = 16;
hasMentionNum() CoreNLPProtos.Mention
optional uint32 mentionNum = 16;
hasMentionNum() CoreNLPProtos.MentionOrBuilder
optional uint32 mentionNum = 16;
hasMentionSieve() CoreNLPProtos.Quote.Builder
optional string mentionSieve = 16;
hasMentionSieve() CoreNLPProtos.Quote
optional string mentionSieve = 16;
hasMentionSieve() CoreNLPProtos.QuoteOrBuilder
optional string mentionSieve = 16;
hasMentionType() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
hasMentionType() CoreNLPProtos.CorefChain.CorefMention
optional string mentionType = 2;
hasMentionType() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string mentionType = 2;
hasMentionType() CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
hasMentionType() CoreNLPProtos.Entity
optional string mentionType = 8;
hasMentionType() CoreNLPProtos.EntityOrBuilder
optional string mentionType = 8;
hasMentionType() CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
hasMentionType() CoreNLPProtos.Mention
optional string mentionType = 2;
hasMentionType() CoreNLPProtos.MentionOrBuilder
optional string mentionType = 2;
hasMentionType() CoreNLPProtos.Quote.Builder
optional string mentionType = 15;
hasMentionType() CoreNLPProtos.Quote
optional string mentionType = 15;
hasMentionType() CoreNLPProtos.QuoteOrBuilder
optional string mentionType = 15;
hasName() CoreNLPProtos.Operator.Builder
required string name = 1;
hasName() CoreNLPProtos.Operator
required string name = 1;
hasName() CoreNLPProtos.OperatorOrBuilder
required string name = 1;
hasNaN() FactorTable
hasNaN() FloatFactorTable
hasNaN(double[]) ArrayMath
hasNaN(float[]) ArrayMath
HasNER edu.stanford.nlp.ling
This token is able to produce NER tags
hasNer() CoreNLPProtos.NERMention.Builder
required string ner = 4;
hasNer() CoreNLPProtos.NERMention
required string ner = 4;
hasNer() CoreNLPProtos.NERMentionOrBuilder
required string ner = 4;
hasNer() CoreNLPProtos.Token.Builder
The word's NER tag
hasNer() CoreNLPProtos.Token
The word's NER tag
hasNer() CoreNLPProtos.TokenOrBuilder
The word's NER tag
hasNerString() CoreNLPProtos.Mention.Builder
optional string nerString = 12;
hasNerString() CoreNLPProtos.Mention
optional string nerString = 12;
hasNerString() CoreNLPProtos.MentionOrBuilder
optional string nerString = 12;
hasNewVals AbstractStochasticCachingDiffFunction
hasNext() DelimitRegExIterator
hasNext() LineIterator
hasNext() XMLBeginEndIterator
hasNext() ConstantsAndVariables.DataSentsIterator
hasNext() AbstractTokenizer
Returns true if this Tokenizer has more elements.
hasNext() TSVSentenceIterator
hasNext() TextTaggedFileReader
hasNext() TreeTaggedFileReader
hasNext() TSVTaggedFileReader
hasNext() AbstractIterator hasNext() BinaryHeapPriorityQueue
hasNext() ConcatenationIterator
hasNext() FilteredIterator
hasNext() FixedPrioritiesPriorityQueue
Returns true if the priority queue is non-empty
hasNext() IterableIterator
hasNormalizedName() CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
hasNormalizedName() CoreNLPProtos.Entity
optional string normalizedName = 9;
hasNormalizedName() CoreNLPProtos.EntityOrBuilder
optional string normalizedName = 9;
hasNormalizedNER() CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
hasNormalizedNER() CoreNLPProtos.NERMention
optional string normalizedNER = 5;
hasNormalizedNER() CoreNLPProtos.NERMentionOrBuilder
optional string normalizedNER = 5;
hasNormalizedNER() CoreNLPProtos.Token.Builder
The word's normalized NER tag
hasNormalizedNER() CoreNLPProtos.Token
The word's normalized NER tag
hasNormalizedNER() CoreNLPProtos.TokenOrBuilder
The word's normalized NER tag
hasNounSuffix(String) FrenchUnknownWordSignatures
hasNumber() CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
hasNumber() CoreNLPProtos.CorefChain.CorefMention
optional string number = 3;
hasNumber() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional string number = 3;
hasNumber() CoreNLPProtos.Mention.Builder
optional string number = 3;
hasNumber() CoreNLPProtos.Mention
optional string number = 3;
hasNumber() CoreNLPProtos.MentionOrBuilder
optional string number = 3;
HASNUMERIZEDTOKENSANNOTATION_FIELD_NUMBER CoreNLPProtos.Sentence
hasObject() CoreNLPProtos.RelationTriple.Builder
The surface form of the object
hasObject() CoreNLPProtos.RelationTriple
The surface form of the object
hasObject() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the object
hasObjectID() CoreNLPProtos.Entity.Builder
inherited from ExtractionObject
hasObjectID() CoreNLPProtos.Entity
inherited from ExtractionObject
hasObjectID() CoreNLPProtos.EntityOrBuilder
inherited from ExtractionObject
hasObjectID() CoreNLPProtos.Relation.Builder
inherited from ExtractionObject
hasObjectID() CoreNLPProtos.Relation
inherited from ExtractionObject
hasObjectID() CoreNLPProtos.RelationOrBuilder
inherited from ExtractionObject
hasObjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 objectSpanBegin = 6;
hasObjectSpanBegin() CoreNLPProtos.Operator
required int32 objectSpanBegin = 6;
hasObjectSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 objectSpanBegin = 6;
hasObjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 objectSpanEnd = 7;
hasObjectSpanEnd() CoreNLPProtos.Operator
required int32 objectSpanEnd = 7;
hasObjectSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 objectSpanEnd = 7;
HasOffset edu.stanford.nlp.ling
Something that implements the HasOffset interface
carries char offset references to an original text String.
HASOPENIETRIPLESANNOTATION_FIELD_NUMBER CoreNLPProtos.Sentence
hasOperator() CoreNLPProtos.Token.Builder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
hasOperator() CoreNLPProtos.Token
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
hasOperator() CoreNLPProtos.TokenOrBuilder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
hasOriginalRef() CoreNLPProtos.Mention.Builder
optional uint32 originalRef = 13;
hasOriginalRef() CoreNLPProtos.Mention
optional uint32 originalRef = 13;
hasOriginalRef() CoreNLPProtos.MentionOrBuilder
optional uint32 originalRef = 13;
HasOriginalText edu.stanford.nlp.ling
This token can produce / set original texts
hasOriginalText() CoreNLPProtos.Token.Builder
The original text for this token
hasOriginalText() CoreNLPProtos.Token
The original text for this token
hasOriginalText() CoreNLPProtos.TokenOrBuilder
The original text for this token
hasOtherChild(int, DependencyTree) Configuration
hasParagraph() CoreNLPProtos.Mention.Builder
optional uint32 paragraph = 19;
hasParagraph() CoreNLPProtos.Mention
optional uint32 paragraph = 19;
hasParagraph() CoreNLPProtos.MentionOrBuilder
optional uint32 paragraph = 19;
hasParagraph() CoreNLPProtos.Sentence.Builder
optional uint32 paragraph = 11;
hasParagraph() CoreNLPProtos.Sentence
optional uint32 paragraph = 11;
hasParagraph() CoreNLPProtos.SentenceOrBuilder
optional uint32 paragraph = 11;
hasParagraphIndex() CoreNLPProtos.Sentence.Builder
optional uint32 paragraphIndex = 67;
hasParagraphIndex() CoreNLPProtos.Sentence
optional uint32 paragraphIndex = 67;
hasParagraphIndex() CoreNLPProtos.SentenceOrBuilder
optional uint32 paragraphIndex = 67;
hasParent() CoreNLPProtos.Token.Builder
French tokens have parents
hasParent() CoreNLPProtos.Token
French tokens have parents
hasParent() CoreNLPProtos.TokenOrBuilder
French tokens have parents
HasParent edu.stanford.nlp.trees
Only to be implemented by Tree subclasses that actualy keep their
parent pointers.
hasParentWithReln(IndexedWord, GrammaticalRelation) SemanticGraph
Returns true if vertex has an incoming relation reln
hasParse() KBestViterbiParser
Does the sentence in the last call to parse() have a parse?
In theory this method shouldn't be here, but it seemed a
convenient place to put it for our more general parser interface.
hasParse() BiLexPCFGParser
hasParse() ExhaustiveDependencyParser
hasParse() ExhaustivePCFGParser
hasParse() FastFactoredParser
hasParseTree() CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
hasParseTree() CoreNLPProtos.Sentence
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
hasParseTree() CoreNLPProtos.SentenceOrBuilder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
hasPerson() CoreNLPProtos.Mention.Builder
optional string person = 6;
hasPerson() CoreNLPProtos.Mention
optional string person = 6;
hasPerson() CoreNLPProtos.MentionOrBuilder
optional string person = 6;
hasPolarity() CoreNLPProtos.Token.Builder
The polarity of this word, according to Natural Logic
hasPolarity() CoreNLPProtos.Token
The polarity of this word, according to Natural Logic
hasPolarity() CoreNLPProtos.TokenOrBuilder
The polarity of this word, according to Natural Logic
hasPolarityDir() CoreNLPProtos.Token.Builder
The polarity of this word, either "up", "down", or "flat"
hasPolarityDir() CoreNLPProtos.Token
The polarity of this word, either "up", "down", or "flat"
hasPolarityDir() CoreNLPProtos.TokenOrBuilder
The polarity of this word, either "up", "down", or "flat"
hasPos() CoreNLPProtos.Token.Builder
The word's part of speech tag
hasPos() CoreNLPProtos.Token
The word's part of speech tag
hasPos() CoreNLPProtos.TokenOrBuilder
The word's part of speech tag
hasPosition() CoreNLPProtos.CorefChain.CorefMention.Builder
the second element of position
hasPosition() CoreNLPProtos.CorefChain.CorefMention
the second element of position
hasPosition() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
the second element of position
hasPossiblePlural(String) FrenchUnknownWordSignatures
hasPrefixBe() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' prefix
hasPrefixBe() CoreNLPProtos.RelationTriple
If true, this relation string is missing a 'be' prefix
hasPrefixBe() CoreNLPProtos.RelationTripleOrBuilder
If true, this relation string is missing a 'be' prefix
hasProjectAlternation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
hasProjectAlternation() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
hasProjectAlternation() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
hasProjectCover() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
hasProjectCover() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
hasProjectCover() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
hasProjectEquivalence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
hasProjectEquivalence() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
hasProjectEquivalence() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
hasProjectForwardEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
hasProjectForwardEntailment() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
hasProjectForwardEntailment() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
hasProjectIndependence() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
hasProjectIndependence() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
hasProjectIndependence() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
hasProjectNegation() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
hasProjectNegation() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
hasProjectNegation() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
hasProjectReverseEntailment() CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
hasProjectReverseEntailment() CoreNLPProtos.Polarity
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
hasProjectReverseEntailment() CoreNLPProtos.PolarityOrBuilder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
hasProperty(Properties, String) PropertiesUtils
Returns true iff the given Properties contains a property with the given
key (name), and its value is not "false" or "no" or "off".
hasPropertyPrefix(Properties, String) PropertiesUtils
hasPunc(String) FrenchUnknownWordSignatures
hasQuantifierSpanBegin() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanBegin = 2;
hasQuantifierSpanBegin() CoreNLPProtos.Operator
required int32 quantifierSpanBegin = 2;
hasQuantifierSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 quantifierSpanBegin = 2;
hasQuantifierSpanEnd() CoreNLPProtos.Operator.Builder
required int32 quantifierSpanEnd = 3;
hasQuantifierSpanEnd() CoreNLPProtos.Operator
required int32 quantifierSpanEnd = 3;
hasQuantifierSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 quantifierSpanEnd = 3;
hasQuotationIndex() CoreNLPProtos.Token.Builder
The index of the quotation this token refers to
hasQuotationIndex() CoreNLPProtos.Token
The index of the quotation this token refers to
hasQuotationIndex() CoreNLPProtos.TokenOrBuilder
The index of the quotation this token refers to
hasRealSpeakerName() SpeakerInfo
hasRealSpeakerName() SpeakerInfo
HasRegularizerParamRange edu.stanford.nlp.optimization
Indicates that a Function should only be regularized on a subset
of its parameters.
hasRelation() CoreNLPProtos.RelationTriple.Builder
The surface form of the relation (required)
hasRelation() CoreNLPProtos.RelationTriple
The surface form of the relation (required)
hasRelation() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the relation (required)
HASRELATIONANNOTATIONS_FIELD_NUMBER CoreNLPProtos.Sentence
hasRepresentative() CoreNLPProtos.CorefChain.Builder
required uint32 representative = 3;
hasRepresentative() CoreNLPProtos.CorefChain
required uint32 representative = 3;
hasRepresentative() CoreNLPProtos.CorefChainOrBuilder
required uint32 representative = 3;
hasRoot() CoreNLPProtos.SentenceFragment.Builder
optional uint32 root = 2;
hasRoot() CoreNLPProtos.SentenceFragment
optional uint32 root = 2;
hasRoot() CoreNLPProtos.SentenceFragmentOrBuilder
optional uint32 root = 2;
hasScore() CoreNLPProtos.ParseTree.Builder
optional double score = 5;
hasScore() CoreNLPProtos.ParseTree
optional double score = 5;
hasScore() CoreNLPProtos.ParseTreeOrBuilder
optional double score = 5;
hasScore() CoreNLPProtos.SentenceFragment.Builder
optional double score = 4;
hasScore() CoreNLPProtos.SentenceFragment
optional double score = 4;
hasScore() CoreNLPProtos.SentenceFragmentOrBuilder
optional double score = 4;
hasSectionAuthor() CoreNLPProtos.Sentence.Builder
author of section
hasSectionAuthor() CoreNLPProtos.Sentence
author of section
hasSectionAuthor() CoreNLPProtos.SentenceOrBuilder
author of section
hasSectionAuthor() CoreNLPProtos.Token.Builder
optional string sectionAuthor = 57;
hasSectionAuthor() CoreNLPProtos.Token
optional string sectionAuthor = 57;
hasSectionAuthor() CoreNLPProtos.TokenOrBuilder
optional string sectionAuthor = 57;
hasSectionDate() CoreNLPProtos.Sentence.Builder
date of section
hasSectionDate() CoreNLPProtos.Sentence
date of section
hasSectionDate() CoreNLPProtos.SentenceOrBuilder
date of section
hasSectionDate() CoreNLPProtos.Token.Builder
optional string sectionDate = 58;
hasSectionDate() CoreNLPProtos.Token
optional string sectionDate = 58;
hasSectionDate() CoreNLPProtos.TokenOrBuilder
optional string sectionDate = 58;
hasSectionEndLabel() CoreNLPProtos.Token.Builder
optional string sectionEndLabel = 59;
hasSectionEndLabel() CoreNLPProtos.Token
optional string sectionEndLabel = 59;
hasSectionEndLabel() CoreNLPProtos.TokenOrBuilder
optional string sectionEndLabel = 59;
hasSectionIndex() CoreNLPProtos.Sentence.Builder
section index for this sentence's section
hasSectionIndex() CoreNLPProtos.Sentence
section index for this sentence's section
hasSectionIndex() CoreNLPProtos.SentenceOrBuilder
section index for this sentence's section
hasSectionName() CoreNLPProtos.Sentence.Builder
name of section
hasSectionName() CoreNLPProtos.Sentence
name of section
hasSectionName() CoreNLPProtos.SentenceOrBuilder
name of section
hasSectionName() CoreNLPProtos.Token.Builder
Section info
hasSectionName() CoreNLPProtos.Token
Section info
hasSectionName() CoreNLPProtos.TokenOrBuilder
Section info
hasSectionQuoted() CoreNLPProtos.Sentence.Builder
is this sentence in an xml quote in a post
hasSectionQuoted() CoreNLPProtos.Sentence
is this sentence in an xml quote in a post
hasSectionQuoted() CoreNLPProtos.SentenceOrBuilder
is this sentence in an xml quote in a post
hasSeedWordOrOtherSem(CandidatePhrase) ConstantsAndVariables
hasSentenceBegin() CoreNLPProtos.Quote.Builder
optional uint32 sentenceBegin = 5;
hasSentenceBegin() CoreNLPProtos.Quote
optional uint32 sentenceBegin = 5;
hasSentenceBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 sentenceBegin = 5;
hasSentenceEnd() CoreNLPProtos.Quote.Builder
optional uint32 sentenceEnd = 6;
hasSentenceEnd() CoreNLPProtos.Quote
optional uint32 sentenceEnd = 6;
hasSentenceEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 sentenceEnd = 6;
hasSentenceID() CoreNLPProtos.Sentence.Builder
Useful when storing sentences (e.g.
hasSentenceID() CoreNLPProtos.Sentence
Useful when storing sentences (e.g.
hasSentenceID() CoreNLPProtos.SentenceOrBuilder
Useful when storing sentences (e.g.
hasSentenceIndex() CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 sentenceIndex = 10;
hasSentenceIndex() CoreNLPProtos.CorefChain.CorefMention
optional uint32 sentenceIndex = 10;
hasSentenceIndex() CoreNLPProtos.CorefChain.CorefMentionOrBuilder
optional uint32 sentenceIndex = 10;
hasSentenceIndex() CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.DependencyGraph.Node
required uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.DependencyGraph.NodeOrBuilder
required uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.NERMention.Builder
optional uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.NERMention
optional uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.NERMentionOrBuilder
optional uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.Sentence.Builder
optional uint32 sentenceIndex = 4;
hasSentenceIndex() CoreNLPProtos.Sentence
optional uint32 sentenceIndex = 4;
hasSentenceIndex() CoreNLPProtos.SentenceOrBuilder
optional uint32 sentenceIndex = 4;
hasSentenceIndex() CoreNLPProtos.TokenLocation.Builder
optional uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.TokenLocation
optional uint32 sentenceIndex = 1;
hasSentenceIndex() CoreNLPProtos.TokenLocationOrBuilder
optional uint32 sentenceIndex = 1;
hasSentenceNum() CoreNLPProtos.IndexedWord.Builder
optional uint32 sentenceNum = 1;
hasSentenceNum() CoreNLPProtos.IndexedWord
optional uint32 sentenceNum = 1;
hasSentenceNum() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 sentenceNum = 1;
hasSentiment() CoreNLPProtos.ParseTree.Builder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
hasSentiment() CoreNLPProtos.ParseTree
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
hasSentiment() CoreNLPProtos.ParseTreeOrBuilder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
hasSentiment() CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
hasSentiment() CoreNLPProtos.Sentence
optional string sentiment = 33;
hasSentiment() CoreNLPProtos.SentenceOrBuilder
optional string sentiment = 33;
hasSentiment() CoreNLPProtos.Token.Builder
The final sentiment of the sentence
hasSentiment() CoreNLPProtos.Token
The final sentiment of the sentence
hasSentiment() CoreNLPProtos.TokenOrBuilder
The final sentiment of the sentence
hasSentNum() CoreNLPProtos.Mention.Builder
optional uint32 sentNum = 17;
hasSentNum() CoreNLPProtos.Mention
optional uint32 sentNum = 17;
hasSentNum() CoreNLPProtos.MentionOrBuilder
optional uint32 sentNum = 17;
hasSignature() CoreNLPProtos.Relation.Builder
optional string signature = 8;
hasSignature() CoreNLPProtos.Relation
optional string signature = 8;
hasSignature() CoreNLPProtos.RelationOrBuilder
optional string signature = 8;
hasSource() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 source = 1;
hasSource() CoreNLPProtos.DependencyGraph.Edge
required uint32 source = 1;
hasSource() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
required uint32 source = 1;
hasSourceCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 sourceCopy = 5;
hasSourceCopy() CoreNLPProtos.DependencyGraph.Edge
optional uint32 sourceCopy = 5;
hasSourceCopy() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional uint32 sourceCopy = 5;
hasSpan() CoreNLPProtos.Token.Builder
The span of a leaf node of a tree
hasSpan() CoreNLPProtos.Token
The span of a leaf node of a tree
hasSpan() CoreNLPProtos.TokenOrBuilder
The span of a leaf node of a tree
hasSpeaker() CoreNLPProtos.Quote.Builder
optional string speaker = 17;
hasSpeaker() CoreNLPProtos.Quote
optional string speaker = 17;
hasSpeaker() CoreNLPProtos.QuoteOrBuilder
optional string speaker = 17;
hasSpeaker() CoreNLPProtos.Token.Builder
The speaker speaking this word
hasSpeaker() CoreNLPProtos.Token
The speaker speaking this word
hasSpeaker() CoreNLPProtos.TokenOrBuilder
The speaker speaking this word
hasSpeaker CoreQuote
hasSpeakerInfo() CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
hasSpeakerInfo() CoreNLPProtos.Mention
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
hasSpeakerInfo() CoreNLPProtos.MentionOrBuilder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
hasSpeakerName() CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
hasSpeakerName() CoreNLPProtos.SpeakerInfo
optional string speakerName = 1;
hasSpeakerName() CoreNLPProtos.SpeakerInfoOrBuilder
optional string speakerName = 1;
hasSpeakerSieve() CoreNLPProtos.Quote.Builder
optional string speakerSieve = 18;
hasSpeakerSieve() CoreNLPProtos.Quote
optional string speakerSieve = 18;
hasSpeakerSieve() CoreNLPProtos.QuoteOrBuilder
optional string speakerSieve = 18;
hasSplit() FastExactAutomatonMinimizer
hasStartIndex() CoreNLPProtos.Mention.Builder
optional uint32 startIndex = 7;
hasStartIndex() CoreNLPProtos.Mention
optional uint32 startIndex = 7;
hasStartIndex() CoreNLPProtos.MentionOrBuilder
optional uint32 startIndex = 7;
hasSubject() CoreNLPProtos.RelationTriple.Builder
The surface form of the subject
hasSubject() CoreNLPProtos.RelationTriple
The surface form of the subject
hasSubject() CoreNLPProtos.RelationTripleOrBuilder
The surface form of the subject
hasSubjectSpanBegin() CoreNLPProtos.Operator.Builder
required int32 subjectSpanBegin = 4;
hasSubjectSpanBegin() CoreNLPProtos.Operator
required int32 subjectSpanBegin = 4;
hasSubjectSpanBegin() CoreNLPProtos.OperatorOrBuilder
required int32 subjectSpanBegin = 4;
hasSubjectSpanEnd() CoreNLPProtos.Operator.Builder
required int32 subjectSpanEnd = 5;
hasSubjectSpanEnd() CoreNLPProtos.Operator
required int32 subjectSpanEnd = 5;
hasSubjectSpanEnd() CoreNLPProtos.OperatorOrBuilder
required int32 subjectSpanEnd = 5;
hasSubtype() CoreNLPProtos.Entity.Builder
Implicit
uint32 sentence @see implicit in sentence
hasSubtype() CoreNLPProtos.Entity
Implicit
uint32 sentence @see implicit in sentence
hasSubtype() CoreNLPProtos.EntityOrBuilder
Implicit
uint32 sentence @see implicit in sentence
hasSubtype() CoreNLPProtos.Relation.Builder
Implicit
uint32 sentence @see implicit in sentence
hasSubtype() CoreNLPProtos.Relation
Implicit
uint32 sentence @see implicit in sentence
hasSubtype() CoreNLPProtos.RelationOrBuilder
Implicit
uint32 sentence @see implicit in sentence
hasSuffixBe() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' suffix
hasSuffixBe() CoreNLPProtos.RelationTriple
If true, this relation string is missing a 'be' suffix
hasSuffixBe() CoreNLPProtos.RelationTripleOrBuilder
If true, this relation string is missing a 'be' suffix
hasSuffixOf() CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'of' prefix
hasSuffixOf() CoreNLPProtos.RelationTriple
If true, this relation string is missing a 'of' prefix
hasSuffixOf() CoreNLPProtos.RelationTripleOrBuilder
If true, this relation string is missing a 'of' prefix
HasTag edu.stanford.nlp.ling
Something that implements the HasTag interface
knows about part-of-speech tags.
hasTag(String) Tags
hasTarget() CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 target = 2;
hasTarget() CoreNLPProtos.DependencyGraph.Edge
required uint32 target = 2;
hasTarget() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
required uint32 target = 2;
hasTargetCopy() CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 targetCopy = 6;
hasTargetCopy() CoreNLPProtos.DependencyGraph.Edge
optional uint32 targetCopy = 6;
hasTargetCopy() CoreNLPProtos.DependencyGraph.EdgeOrBuilder
optional uint32 targetCopy = 6;
hasText() CoreNLPProtos.Document.Builder
required string text = 1;
hasText() CoreNLPProtos.Document
required string text = 1;
hasText() CoreNLPProtos.DocumentOrBuilder
required string text = 1;
hasText() CoreNLPProtos.Quote.Builder
optional string text = 1;
hasText() CoreNLPProtos.Quote
optional string text = 1;
hasText() CoreNLPProtos.QuoteOrBuilder
optional string text = 1;
hasText() CoreNLPProtos.Sentence.Builder
Only needed if we're only saving the sentence.
hasText() CoreNLPProtos.Sentence
Only needed if we're only saving the sentence.
hasText() CoreNLPProtos.SentenceOrBuilder
Only needed if we're only saving the sentence.
hasText() CoreNLPProtos.Timex.Builder
optional string text = 3;
hasText() CoreNLPProtos.Timex
optional string text = 3;
hasText() CoreNLPProtos.TimexOrBuilder
optional string text = 3;
hasThat(List<CoreLabel>) Sieve
hasTid() CoreNLPProtos.Timex.Builder
optional string tid = 5;
hasTid() CoreNLPProtos.Timex
optional string tid = 5;
hasTid() CoreNLPProtos.TimexOrBuilder
optional string tid = 5;
hasTime() SUTime.GroundedTime
hasTime() SUTime.IsoDateTime
hasTime() SUTime.IsoTime
hasTime() SUTime.PartialTime
hasTime() SUTime.Time
hasTimex() CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
hasTimex() CoreNLPProtos.NERMention
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
hasTimex() CoreNLPProtos.NERMentionOrBuilder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
hasTimexValue() CoreNLPProtos.Token.Builder
The time this word refers to
hasTimexValue() CoreNLPProtos.Token
The time this word refers to
hasTimexValue() CoreNLPProtos.TokenOrBuilder
The time this word refers to
hasTokenBegin() CoreNLPProtos.Quote.Builder
optional uint32 tokenBegin = 7;
hasTokenBegin() CoreNLPProtos.Quote
optional uint32 tokenBegin = 7;
hasTokenBegin() CoreNLPProtos.QuoteOrBuilder
optional uint32 tokenBegin = 7;
hasTokenBeginIndex() CoreNLPProtos.Token.Builder
The begin index of the token
hasTokenBeginIndex() CoreNLPProtos.Token
The begin index of the token
hasTokenBeginIndex() CoreNLPProtos.TokenOrBuilder
The begin index of the token
hasTokenEnd() CoreNLPProtos.Quote.Builder
optional uint32 tokenEnd = 8;
hasTokenEnd() CoreNLPProtos.Quote
optional uint32 tokenEnd = 8;
hasTokenEnd() CoreNLPProtos.QuoteOrBuilder
optional uint32 tokenEnd = 8;
hasTokenEndIndex() CoreNLPProtos.Token.Builder
The end index of the token
hasTokenEndIndex() CoreNLPProtos.Token
The end index of the token
hasTokenEndIndex() CoreNLPProtos.TokenOrBuilder
The end index of the token
hasTokenEndInSentenceExclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenEndInSentenceExclusive = 3;
hasTokenEndInSentenceExclusive() CoreNLPProtos.NERMention
required uint32 tokenEndInSentenceExclusive = 3;
hasTokenEndInSentenceExclusive() CoreNLPProtos.NERMentionOrBuilder
required uint32 tokenEndInSentenceExclusive = 3;
hasTokenIndex() CoreNLPProtos.IndexedWord.Builder
optional uint32 tokenIndex = 2;
hasTokenIndex() CoreNLPProtos.IndexedWord
optional uint32 tokenIndex = 2;
hasTokenIndex() CoreNLPProtos.IndexedWordOrBuilder
optional uint32 tokenIndex = 2;
hasTokenIndex() CoreNLPProtos.TokenLocation.Builder
optional uint32 tokenIndex = 2;
hasTokenIndex() CoreNLPProtos.TokenLocation
optional uint32 tokenIndex = 2;
hasTokenIndex() CoreNLPProtos.TokenLocationOrBuilder
optional uint32 tokenIndex = 2;
hasTokenOffsetBegin() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetBegin = 2;
hasTokenOffsetBegin() CoreNLPProtos.Sentence
required uint32 tokenOffsetBegin = 2;
hasTokenOffsetBegin() CoreNLPProtos.SentenceOrBuilder
required uint32 tokenOffsetBegin = 2;
hasTokenOffsetEnd() CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetEnd = 3;
hasTokenOffsetEnd() CoreNLPProtos.Sentence
required uint32 tokenOffsetEnd = 3;
hasTokenOffsetEnd() CoreNLPProtos.SentenceOrBuilder
required uint32 tokenOffsetEnd = 3;
hasTokensRegexPattern() SequenceMatchRules.AnnotationExtractRule
hasTokenStartInSentenceInclusive() CoreNLPProtos.NERMention.Builder
required uint32 tokenStartInSentenceInclusive = 2;
hasTokenStartInSentenceInclusive() CoreNLPProtos.NERMention
required uint32 tokenStartInSentenceInclusive = 2;
hasTokenStartInSentenceInclusive() CoreNLPProtos.NERMentionOrBuilder
required uint32 tokenStartInSentenceInclusive = 2;
hasToVerb(List<CoreLabel>) Sieve
hasTree() CoreNLPProtos.RelationTriple.Builder
The dependency graph fragment for this triple
hasTree() CoreNLPProtos.RelationTriple
The dependency graph fragment for this triple
hasTree() CoreNLPProtos.RelationTripleOrBuilder
The dependency graph fragment for this triple
hasTrueCase() CoreNLPProtos.Token.Builder
true case type of token
hasTrueCase() CoreNLPProtos.Token
true case type of token
hasTrueCase() CoreNLPProtos.TokenOrBuilder
true case type of token
hasTrueCaseText() CoreNLPProtos.Token.Builder
true case gloss of token
hasTrueCaseText() CoreNLPProtos.Token
true case gloss of token
hasTrueCaseText() CoreNLPProtos.TokenOrBuilder
true case gloss of token
hasTwin Mention
HASTWIN_FIELD_NUMBER CoreNLPProtos.Mention
hasType() CoreNLPProtos.Entity.Builder
optional string type = 4;
hasType() CoreNLPProtos.Entity
optional string type = 4;
hasType() CoreNLPProtos.EntityOrBuilder
optional string type = 4;
hasType() CoreNLPProtos.Relation.Builder
optional string type = 4;
hasType() CoreNLPProtos.Relation
optional string type = 4;
hasType() CoreNLPProtos.RelationOrBuilder
optional string type = 4;
hasType() CoreNLPProtos.Timex.Builder
optional string type = 4;
hasType() CoreNLPProtos.Timex
optional string type = 4;
hasType() CoreNLPProtos.TimexOrBuilder
optional string type = 4;
hasUtter() CoreNLPProtos.Mention.Builder
optional uint32 utter = 18;
hasUtter() CoreNLPProtos.Mention
optional uint32 utter = 18;
hasUtter() CoreNLPProtos.MentionOrBuilder
optional uint32 utter = 18;
hasUtterance() CoreNLPProtos.Token.Builder
The utterance tag used in dcoref
hasUtterance() CoreNLPProtos.Token
The utterance tag used in dcoref
hasUtterance() CoreNLPProtos.TokenOrBuilder
The utterance tag used in dcoref
hasValue() Expression
Returns whether the expression has already been evaluated to
a Value
hasValue() Expressions.SimpleCachedExpression
hasValue() Expressions.SimpleValue
hasValue() Expressions.TypedExpression
hasValue() Expressions.WrappedExpression
hasValue() CoreNLPProtos.ParseTree.Builder
optional string value = 2;
hasValue() CoreNLPProtos.ParseTree
optional string value = 2;
hasValue() CoreNLPProtos.ParseTreeOrBuilder
optional string value = 2;
hasValue() CoreNLPProtos.Timex.Builder
optional string value = 1;
hasValue() CoreNLPProtos.Timex
optional string value = 1;
hasValue() CoreNLPProtos.TimexOrBuilder
optional string value = 1;
hasValue() CoreNLPProtos.Token.Builder
The word's 'value', (e.g., parse tree node)
hasValue() CoreNLPProtos.Token
The word's 'value', (e.g., parse tree node)
hasValue() CoreNLPProtos.TokenOrBuilder
The word's 'value', (e.g., parse tree node)
hasVerbFirstPersonPluralSuffix(String) SpanishUnknownWordSignatures
hasVerbSuffix(String) FrenchUnknownWordSignatures
hasWikipediaEntity() CoreNLPProtos.NERMention.Builder
optional string wikipediaEntity = 8;
hasWikipediaEntity() CoreNLPProtos.NERMention
optional string wikipediaEntity = 8;
hasWikipediaEntity() CoreNLPProtos.NERMentionOrBuilder
optional string wikipediaEntity = 8;
hasWikipediaEntity() CoreNLPProtos.Token.Builder
optional string wikipediaEntity = 37;
hasWikipediaEntity() CoreNLPProtos.Token
optional string wikipediaEntity = 37;
hasWikipediaEntity() CoreNLPProtos.TokenOrBuilder
optional string wikipediaEntity = 37;
HasWord edu.stanford.nlp.ling
Something that implements the HasWord interface
knows about words.
hasWord() CoreNLPProtos.Token.Builder
Fields set by the default annotators [new CoreNLP(new Properties())]
hasWord() CoreNLPProtos.Token
Fields set by the default annotators [new CoreNLP(new Properties())]
hasWord() CoreNLPProtos.TokenOrBuilder
Fields set by the default annotators [new CoreNLP(new Properties())]
HASXMLCONTEXT_FIELD_NUMBER CoreNLPProtos.Token
hasXmlDoc() CoreNLPProtos.Document.Builder
xml information
hasXmlDoc() CoreNLPProtos.Document
xml information
hasXmlDoc() CoreNLPProtos.DocumentOrBuilder
xml information
hasXmlTag() CoreNLPProtos.Section.Builder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
hasXmlTag() CoreNLPProtos.Section
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
hasXmlTag() CoreNLPProtos.SectionOrBuilder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
hasYieldBeginIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldBeginIndex = 3;
hasYieldBeginIndex() CoreNLPProtos.ParseTree
optional uint32 yieldBeginIndex = 3;
hasYieldBeginIndex() CoreNLPProtos.ParseTreeOrBuilder
optional uint32 yieldBeginIndex = 3;
hasYieldEndIndex() CoreNLPProtos.ParseTree.Builder
optional uint32 yieldEndIndex = 4;
hasYieldEndIndex() CoreNLPProtos.ParseTree
optional uint32 yieldEndIndex = 4;
hasYieldEndIndex() CoreNLPProtos.ParseTreeOrBuilder
optional uint32 yieldEndIndex = 4;
hasYYMMDD(ReadablePartial) JodaTimeUtils
hasYYYYMMDD(ReadablePartial) JodaTimeUtils
HaveAnnotation() CoreAnnotations.HaveAnnotation
haveRegex EnglishPatterns
HdotV AbstractStochasticCachingDiffFunction
HdotVAt(double[], double[], int) AbstractStochasticCachingDiffFunction
HdotVAt will return the hessian vector product H.v at the point x for a batchSize subset of the data
There are several ways to perform this calculation, as of now Finite Difference, and Algorithmic Differentiation
are the methods that have been used.
HdotVAt(double[], double[], double[], int) AbstractStochasticCachingDiffFunction
HdotVAt(double[], double[]) AbstractStochasticCachingDiffFunction
head IntDependency
head Item
head() Redwood.RecordHandlerTree
HEADEND_FIELD_NUMBER CoreNLPProtos.Entity
header() InputPanel.HistoryEntry
Gets the string header indicating the fields included in a HistoryEntry string representation
headFinder CorefMentionFinder
headFinder GenericDataSetReader
Finds the syntactic head of a syntactic constituent
headFinder() AbstractTreebankParserParams
The HeadFinder to use for your treebank.
headFinder() ArabicTreebankParserParams
headFinder() ChineseTreebankParserParams
Returns a ChineseHeadFinder
headFinder() EnglishTreebankParserParams
headFinder() FrenchTreebankParserParams
headFinder() HebrewTreebankParserParams
headFinder() NegraPennTreebankParserParams
returns a NegraHeadFinder
headFinder() SpanishTreebankParserParams
headFinder() TreebankLangParserParams
headFinder() TueBaDZParserParams
HeadFinder edu.stanford.nlp.trees
An interface for finding the "head" daughter of a phrase structure tree.
headFinder() ArabicTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() FrenchTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() HebrewTreebankLanguagePack
headFinder() NegraPennLanguagePack
The HeadFinder to use for your treebank.
headFinder() ChineseTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() SpanishTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() TueBaDZLanguagePack
The HeadFinder to use for your treebank.
headFinder() PennTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() TreebankLanguagePack
The HeadFinder to use for your treebank.
headIncludes(EntityMention, boolean) EntityMention
headIndex CorefChain.CorefMention
Head word of the mention
headIndex Mention
headIndex CorefChain.CorefMention
Head word of the mention
headIndex Mention
HEADINDEX_FIELD_NUMBER CoreNLPProtos.CorefChain.CorefMention
HEADINDEX_FIELD_NUMBER CoreNLPProtos.Mention
headIndexedWord Mention
headIndexedWord Mention
HEADINDEXEDWORD_FIELD_NUMBER CoreNLPProtos.Mention
headMark TreePrint
headOfSpan(Span) SentenceAlgorithms
Get the index of the head word for a given span, based off of the dependency parse.
headPreTerminal(HeadFinder) Tree
Returns the preterminal tree that is the head of the tree.
heads CorefCluster
heads CorefCluster
headsAgree(Mention) Mention
headsAgree(Mention) Mention
HEADSTART_FIELD_NUMBER CoreNLPProtos.Entity
headString Mention
headString Mention
HEADSTRING_FIELD_NUMBER CoreNLPProtos.Mention
HeadTagLabelAnnotation() TreeCoreAnnotations.HeadTagLabelAnnotation
headTerminal(HeadFinder, Tree) Tree
Returns the tree leaf that is the head of the tree.
headTerminal(HeadFinder) Tree
Returns the tree leaf that is the head of the tree.
HEADTOKENINDEX_FIELD_NUMBER CoreNLPProtos.Entity
headWord Mention
headWord Mention
HEADWORD_FIELD_NUMBER CoreNLPProtos.Mention
HEADWORDINDEX_FIELD_NUMBER CoreNLPProtos.Token
HeadWordLabelAnnotation() TreeCoreAnnotations.HeadWordLabelAnnotation
headWordNode() TreeGraphNode
Return the node containing the head word for this node (or
null if none), as recorded in this node's
{@code CoreLabel}.
HeadWordStringAnnotation() CoreAnnotations.HeadWordStringAnnotation
Heap E > - Interface in edu.stanford.nlp.util
Heap interface.
Hebrew_VALUE CoreNLPProtos.Language
Hebrew = 7;
HebrewEmptyFilter() HebrewTreeNormalizer.HebrewEmptyFilter
HebrewTreebankLanguagePack edu.stanford.nlp.trees.international.hebrew
HebrewTreebankLanguagePack() HebrewTreebankLanguagePack
HebrewTreebankParserParams edu.stanford.nlp.parser.lexparser
Initial version of a parser pack for the HTB.
HebrewTreebankParserParams() HebrewTreebankParserParams
HebrewTreebankParserParams(TreebankLanguagePack) HebrewTreebankParserParams
HebrewTreeNormalizer edu.stanford.nlp.trees.international.hebrew
HebrewTreeNormalizer() HebrewTreeNormalizer
HebrewTreeNormalizer.HebrewEmptyFilter edu.stanford.nlp.trees.international.hebrew
Remove traces and pronoun deletion markers.
HebrewTreeReaderFactory edu.stanford.nlp.trees.international.hebrew
HebrewTreeReaderFactory() HebrewTreeReaderFactory
HEIDELTIME_LANGUAGE_PROPERTY HeidelTimeAnnotator
HEIDELTIME_OUTPUT_RESULTS HeidelTimeAnnotator
HEIDELTIME_PATH_PROPERTY HeidelTimeAnnotator
HeidelTimeAnnotator edu.stanford.nlp.time
Annotates text using HeidelTime.
HeidelTimeAnnotator() HeidelTimeAnnotator
HeidelTimeAnnotator(File) HeidelTimeAnnotator
HeidelTimeAnnotator(File, String, boolean) HeidelTimeAnnotator
HeidelTimeAnnotator(String, Properties) HeidelTimeAnnotator
height(Tree, FontMetrics) TreeJPanel
height() IntervalTree
height(IntervalTree.TreeNode<E, T>) IntervalTree
HeightAnnotation() CoreAnnotations.HeightAnnotation
heldOutSetC(GeneralDataset<L, F>, double, Scorer<L>, LineSearcher) SVMLightClassifierFactory
heldOutSetC(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>, LineSearcher) SVMLightClassifierFactory
This method will cross validate on the given data and number of folds
to find the optimal C.
heldOutSetSigma(GeneralDataset<L, F>) LinearClassifierFactory
heldOutSetSigma(GeneralDataset<L, F>, Scorer<L>) LinearClassifierFactory
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>) LinearClassifierFactory
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>) LinearClassifierFactory
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, LineSearcher) LinearClassifierFactory
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>, LineSearcher) LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the held-out score given by scorer.
help() DVParser
help() SemgrexPattern
heuristicFilter(List<Mention>, int, int) CorefUtils
hiddenLayerOutput(double[][], int[], SeqClassifierFlags, double[]) NonLinearCliquePotentialFunction
hiddenLayerOutput(double[][], int[], SeqClassifierFlags, double[], int) NonLinearSecondOrderCliquePotentialFunction
hiddenSize Config
Size of the neural network hidden layer.
hideAll() VisibilityHandler
Show none of the channels
hideChannels(Object...) RedwoodConfiguration.Handlers
Hide these channels, in addition to anything already hidden by upstream handlers.
hideChannelsEverywhere(Object...) Redwood
Hide multiple channels.
hideDebug RedwoodConfiguration.Handlers
Hide the debug channel only.
highestNodeWithSameHead() TreeGraphNode
Checks the node's ancestors to find the highest ancestor with the
same headWordNode as this node.
HighlightUtils edu.stanford.nlp.trees.tregex.gui
hIndex(Counter<E>) Counters
Calculate h-Index (Hirsch, 2005) of an author.
hinge() SimpleLinearClassifier
History edu.stanford.nlp.tagger.maxent
HistoryEntry(String, int, int) InputPanel.HistoryEntry
HistoryTable edu.stanford.nlp.tagger.maxent
Notes: This maintains a two way lookup between a History and
an Integer index.
HistoryTable() HistoryTable
Hook edu.stanford.nlp.parser.lexparser
Class for parse table hooks.
Hook(boolean) Hook
Hook(Hook) Hook
HookChart edu.stanford.nlp.parser.lexparser
A HookChart is a chart data structure designed for use with the efficient
O(n^4) chart parsing mechanisms targetted at lexicalized parsing, which
were introduced by Eisner and Satta.
HookChart() HookChart
HORIZONTAL_ALIGN TreeJPanel
host SQLConnection
host ServerAnnotatorImplementations
The hostname of the server to hit
host ArgumentParser
HOUR SUTime
hour SUTime.IsoTime
HOURLY SUTime
HSEL_CUT TrainOptions
hSelSplit TrainOptions
HTKLatticeReader edu.stanford.nlp.parser.lexparser
HTKLatticeReader(String) HTKLatticeReader
HTKLatticeReader(String, boolean) HTKLatticeReader
HTKLatticeReader(String, boolean, boolean, boolean) HTKLatticeReader
HTKLatticeReader.LatticeWord edu.stanford.nlp.parser.lexparser
HTMLCODE RobustTokenizer
HTTP RobustTokenizer
HUBER_PRIOR LogConditionalEqConstraintFunction
HUBER_PRIOR CRFLogConditionalObjectiveFloatFunction
HUBER_PRIOR CRFLogConditionalObjectiveFunction
HUBER_PRIOR CRFNonLinearLogConditionalObjectiveFunction
HUBER_PRIOR CRFNonLinearSecondOrderLogConditionalObjectiveFunction
HybridCorefMentionFinder edu.stanford.nlp.coref.md
HybridCorefMentionFinder(HeadFinder, Properties) HybridCorefMentionFinder
HybridCorefPrinter edu.stanford.nlp.coref.hybrid
Prints CoNLL-style output from a
Document
HybridCorefPrinter() HybridCorefPrinter
HybridCorefProperties edu.stanford.nlp.coref.hybrid
Properties for the hybrid coref system.
HybridCorefSystem edu.stanford.nlp.coref.hybrid
HybridCorefSystem(Properties, Dictionaries) HybridCorefSystem
HybridCorefSystem(Properties) HybridCorefSystem
hybridCutoffIteration SeqClassifierFlags
HybridMinimizer edu.stanford.nlp.optimization
Hybrid Minimizer is set up as a combination of two minimizers.
HybridMinimizer(Minimizer<DiffFunction>, Minimizer<DiffFunction>, int) HybridMinimizer
hypergeometric(int, int, int, int) SloppyMath
Find a hypergeometric distribution.
hyphenData DefaultTeXHyphenData
p LambdaSolve
p1 EmpiricalNERPriorBIO
p2 EmpiricalNERPriorBIO
PA TrainOptions
This variable controls doing parent annotation of phrasal nodes.
pad AbstractSequenceClassifier
pad SeqClassifierFlags
pad(String, int) StringUtils
Return a String of length a minimum of totalChars characters by
padding the input String str at the right end with spaces.
pad(String, int, char) StringUtils
Return a String of length a minimum of totalChars characters by
padding the input String str at the right end with spaces.
pad(Object, int) StringUtils
Pads the toString value of the given Object.
PAD_FIELD_UNKNOWN SUTime
PAD_FIELD_UNKNOWN2 SUTime
PAD_FIELD_UNKNOWN4 SUTime
PaddedList E > - Class in edu.stanford.nlp.util
A PaddedList wraps another list, presenting an apparently infinite
list by padding outside the real confines of the list with a default
value.
PaddedList(List<E>) PaddedList
With this constructor, get() will return null for
elements outside the real list.
PaddedList(List<E>, E) PaddedList
paddedWords() SentenceFragment
Return the tokens in this fragment, but padded with null so that the index in this
sentence matches the index of the parse tree.
padLeft(String, int, char) StringUtils
Pads the given String to the left with the given character ch to ensure that
it's at least totalChars long.
padLeft(String, int) StringUtils
Pads the given String to the left with spaces to ensure that it's
at least totalChars long.
padLeft(Object, int) StringUtils
padLeft(int, int) StringUtils
padLeft(double, int) StringUtils
padLeftOrTrim(String, int) StringUtils
Pad or trim so as to produce a string of exactly a certain length.
padMoreSpecificFields(Partial, Period) JodaTimeUtils
padMoreSpecificFields(SUTime.Duration) SUTime.PartialTime
padOrTrim(String, int) StringUtils
Pad or trim so as to produce a string of exactly a certain length.
padOrTrim(Object, int) StringUtils
Pad or trim the toString value of the given Object.
paintComponent(Graphics) TreeJPanel
paintComponent(Graphics) ScrollableTreeJPanel
paintTree(Tree, Point2D, Graphics2D, FontMetrics, Color) ScrollableTreeJPanel
Pair T1 ,T2 > - Class in edu.stanford.nlp.util
Pair is a Class for holding mutable pairs of objects.
Pair() Pair
Pair(T1, T2) Pair
Pair.ByFirstPairComparator T1 ,T2 > - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the first object of the pair only
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException
Pair.ByFirstReversePairComparator T1 ,T2 > - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the first object of the pair only in decreasing order
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException
Pair.BySecondPairComparator T1 ,T2 > - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the second object of the pair only
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException
Pair.BySecondReversePairComparator T1 ,T2 > - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the second object of the pair only in decreasing order
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException
pairConjunctions(MetaFeatureExtractor.PairConjunction[]) MetaFeatureExtractor.Builder
pairs TestSentence
PairsHolder edu.stanford.nlp.tagger.maxent
A simple class that maintains a list of WordTag pairs which are interned
as they are added.
PairsHolder() PairsHolder
pairwiseAdd(int[], int[]) ArrayMath
pairwiseAdd(double[], double[]) ArrayMath
pairwiseAdd(float[], float[]) ArrayMath
pairwiseAddInPlace(float[], float[]) ArrayMath
pairwiseAddInPlace(double[], double[]) ArrayMath
pairwiseAddInPlace(double[], int[]) ArrayMath
pairwiseAddInPlace(double[], short[]) ArrayMath
pairwiseDivideInPlace(double[], double[]) ArrayMath
Divide the first array by the second elementwise,
and store results in place.
pairwiseFeatures(Document, Mention, Mention, Dictionaries, boolean) CategoricalFeatureExtractor
pairwiseFeatures Example
PairwiseModel edu.stanford.nlp.coref.statistical
Pairwise mention-classification model.
PairwiseModel(PairwiseModel.Builder) PairwiseModel
PairwiseModel.Builder edu.stanford.nlp.coref.statistical
pairwiseModelsPath StatisticalCorefTrainer
PairwiseModelTrainer edu.stanford.nlp.coref.statistical
Class for training coreference models
PairwiseModelTrainer() PairwiseModelTrainer
pairwiseMultiply(double[], double[]) ArrayMath
Assumes that both arrays have same length.
pairwiseMultiply(float[], float[]) ArrayMath
Assumes that both arrays have same length.
pairwiseMultiply(double[], double[], double[]) ArrayMath
Puts the result in the result array.
pairwiseMultiply(float[], float[], float[]) ArrayMath
Puts the result in the result array.
pairwiseScaleAdd(double[], double[], double) ArrayMath
pairwiseScaleAddInPlace(double[], double[], double) ArrayMath
pairwiseScoreThresholds(Properties) StatisticalCorefProperties
pairwiseSubtract(double[], double[]) ArrayMath
pairwiseSubtract(float[], float[]) ArrayMath
pairwiseSubtractInPlace(double[], double[]) ArrayMath
paragraph Mention
paragraph Mention
PARAGRAPH_BREAK ParagraphAnnotator
PARAGRAPH_FIELD_NUMBER CoreNLPProtos.Mention
PARAGRAPH_FIELD_NUMBER CoreNLPProtos.Sentence
ParagraphAnnotation() CoreAnnotations.ParagraphAnnotation
ParagraphAnnotator edu.stanford.nlp.paragraphs
ParagraphAnnotator(Properties, boolean) ParagraphAnnotator
paragraphEndQuoteClosestBefore(Annotation) ParagraphEndQuoteClosestSieve
ParagraphEndQuoteClosestSieve edu.stanford.nlp.quoteattribution.Sieves.QMSieves
ParagraphEndQuoteClosestSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) ParagraphEndQuoteClosestSieve
PARAGRAPHINDEX_FIELD_NUMBER CoreNLPProtos.Sentence
ParagraphIndexAnnotation() CoreAnnotations.ParagraphIndexAnnotation
ParagraphsAnnotation() CoreAnnotations.ParagraphsAnnotation
parallelE CRFLogConditionalObjectiveFunction
parallelEhat CRFLogConditionalObjectiveFunction
parallelGradientCalculation LogConditionalObjectiveFunction
The flag to tell the gradient computations to multithread over the data.
parallelStream() MaxSizeConcurrentHashSet
paramAddRoot ConfigParser
paramCCTagset ConfigParser
paramDistrib ConfigParser
paramDT ConfigParser
paramEncode ConfigParser
paramFileExt ConfigParser
paramFlat ConfigParser
ParamInfo(String, String, Class, boolean) ValueFunctions.ParamInfo
paramLexMapOptions ConfigParser
paramLexMapper ConfigParser
paramMapping ConfigParser
paramMaxLen ConfigParser
paramMorph ConfigParser
paramName ConfigParser
paramNoDashTags ConfigParser
paramOutputPath ConfigParser
paramPath ConfigParser
paramPosMapOptions ConfigParser
paramPosMapper ConfigParser
params Language
paramSplit ConfigParser
paramsToVector(int, Iterator<SimpleMatrix>...) NeuralUtils
Given a sequence of iterators over the matrices, builds a vector
out of those matrices in the order given.
paramsToVector(double, int, Iterator<SimpleMatrix>...) NeuralUtils
Given a sequence of iterators over the matrices, builds a vector
out of those matrices in the order given.
paramsToVector(double) DVModel
paramsToVector() DVModel
paramsToVector() SentimentModel
paramTagDelim ConfigParser
paramTransform ConfigParser
paramType ConfigParser
paramUnEscape ConfigParser
ParaPositionAnnotation() CoreAnnotations.ParaPositionAnnotation
PARATAXIS EnglishGrammaticalRelations
The "parataxis" grammatical relation.
PARATAXIS UniversalChineseGrammaticalRelations
PARATAXIS UniversalEnglishGrammaticalRelations
The "parataxis" grammatical relation.
PAREN RobustTokenizer
parent BinaryRule
parent() BinaryRule
parent() Rule
parent UnaryRule
parent() UnaryRule
parent() HasParent
parent() Tree
Return the parent of the tree node.
parent(Tree) Tree
Return the parent of the tree node.
parent TreeGraphNode
Parent of this node.
parent() TreeGraphNode
Get the parent for the current node.
PARENT_FIELD_NUMBER CoreNLPProtos.Token
ParentAnnotation() CoreAnnotations.ParentAnnotation
ParentAnnotationStats edu.stanford.nlp.parser.lexparser
See what parent annotation helps in treebank, based on support and
KL divergence.
PARENTHETICAL_MODIFIER UniversalChineseGrammaticalRelations
The "parenthetical modifier" (prnmod) grammatical relation (Chinese-specific).
parentPairs(IndexedWord) SemanticGraph
Returns a list of pairs of a relation name and the parent
IndexedFeatureLabel to which we bear that relation.
parentSkip TreeJPanel
paRootDtr ChineseTreebankParserParams
Chinese: parent annotate daughter of root.
parse(String) GenericDataSetReader
Parses one file or directory with data from one domain
parse(List<CoreLabel>) GenericDataSetReader
parse(List<CoreLabel>, List<ParserConstraint>) GenericDataSetReader
parse(String) BasicDocument
Tokenizes the given text to populate the list of words this Document
represents.
parse(String) ParserGrammar
Will parse the text in sentence as if it represented
a single sentence by first processing it with a tokenizer.
parse(List<? extends HasWord>) ParserGrammar
Parses the list of HasWord.
parse(List<? extends HasWord>) ParserQuery
parse(List<? extends HasWord>) BiLexPCFGParser
Parse a Sentence.
parse(List<? extends HasWord>) ExhaustiveDependencyParser
parse(List<? extends HasWord>) ExhaustivePCFGParser
parse(HTKLatticeReader) ExhaustivePCFGParser
parse(Lattice) ExhaustivePCFGParser
parse(List<? extends HasWord>) FastFactoredParser
Parse a Sentence.
parse(List<? extends HasWord>) LexicalizedParser
Parses the list of HasWord.
parse(List<? extends HasWord>) LexicalizedParserQuery
Parse a sentence represented as a List of tokens.
parse(List<? extends HasWord>) RerankingParserQuery
parse(List<? extends HasWord>) Scorer
parse(List<? extends HasWord>) Parser
Parses the given sentence.
parse(String) ShiftReduceParser
parse(List<? extends HasWord>) ShiftReduceParser
parse(List<? extends HasWord>) ShiftReduceParserQuery
parse(Tree) ShiftReduceParserQuery
parse() ParserPanel
Tokenizes the highlighted text (using a tokenizer appropriate for the
selected language, and initiates the ParseThread to parse the tokenized
text.
parse(Properties) AnnotatorImplementations
Annotate parse trees
parse(Properties) ServerAnnotatorImplementations
Annotate parse trees
parse(Properties) Sentence
Returns the constituency parse of this sentence.
parse() Sentence
parse() ConfigParser
parse(Properties) RedwoodConfiguration
Configure Redwood (from scratch) based on a Properties file.
parse() StringParsingTask
Parses the String associated with this
StringParsingTask and returns a object of type
E.
parseAndReport(List<? extends HasWord>, PrintWriter) ParserQuery
parseAndReport(List<? extends HasWord>, PrintWriter) LexicalizedParserQuery
Implements the same parsing with fallback that parse() does, but
also outputs status messages for failed parses to pwErr.
parseAndReport(List<? extends HasWord>, PrintWriter) RerankingParserQuery
parseAndReport(List<? extends HasWord>, PrintWriter) ShiftReduceParserQuery
TODO: if we add anything interesting to report, we should report it here
parseArray(String) TSVUtils
Parse an SQL array.
parseColumnFile(BufferedReader, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, boolean, String) AnnotatedTextReader
parseCommandLineArguments(String[]) StringUtils
A simpler form of command line argument parsing.
parseCommandLineArguments(String[], boolean) StringUtils
A simpler form of command line argument parsing.
parseDateTime(String, boolean) SUTime
Converts a string that represents some kind of date into ISO 8601 format and
returns it as a SUTime.Time
YYYYMMDDThhmmss
parseDateTime(String) SUTime
parseDelimitedFrom(InputStream) CoreNLPProtos.CorefChain.CorefMention
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain.CorefMention
parseDelimitedFrom(InputStream) CoreNLPProtos.CorefChain
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain
parseDelimitedFrom(InputStream) CoreNLPProtos.DependencyGraph.Edge
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Edge
parseDelimitedFrom(InputStream) CoreNLPProtos.DependencyGraph.Node
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Node
parseDelimitedFrom(InputStream) CoreNLPProtos.DependencyGraph
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph
parseDelimitedFrom(InputStream) CoreNLPProtos.Document
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Document
parseDelimitedFrom(InputStream) CoreNLPProtos.Entity
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Entity
parseDelimitedFrom(InputStream) CoreNLPProtos.IndexedWord
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.IndexedWord
parseDelimitedFrom(InputStream) CoreNLPProtos.MapIntString
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapIntString
parseDelimitedFrom(InputStream) CoreNLPProtos.MapStringString
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapStringString
parseDelimitedFrom(InputStream) CoreNLPProtos.Mention
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Mention
parseDelimitedFrom(InputStream) CoreNLPProtos.NERMention
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.NERMention
parseDelimitedFrom(InputStream) CoreNLPProtos.Operator
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Operator
parseDelimitedFrom(InputStream) CoreNLPProtos.ParseTree
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.ParseTree
parseDelimitedFrom(InputStream) CoreNLPProtos.Polarity
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Polarity
parseDelimitedFrom(InputStream) CoreNLPProtos.Quote
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Quote
parseDelimitedFrom(InputStream) CoreNLPProtos.Relation
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Relation
parseDelimitedFrom(InputStream) CoreNLPProtos.RelationTriple
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.RelationTriple
parseDelimitedFrom(InputStream) CoreNLPProtos.Section
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Section
parseDelimitedFrom(InputStream) CoreNLPProtos.Sentence
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Sentence
parseDelimitedFrom(InputStream) CoreNLPProtos.SentenceFragment
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SentenceFragment
parseDelimitedFrom(InputStream) CoreNLPProtos.Span
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Span
parseDelimitedFrom(InputStream) CoreNLPProtos.SpeakerInfo
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SpeakerInfo
parseDelimitedFrom(InputStream) CoreNLPProtos.Timex
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Timex
parseDelimitedFrom(InputStream) CoreNLPProtos.Token
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Token
parseDelimitedFrom(InputStream) CoreNLPProtos.TokenLocation
parseDelimitedFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.TokenLocation
parseDocument(String, boolean) AceDocument
Parses an ACE document.
parseDocument(String, boolean, String) AceDocument
parseDocument(File) AceDomReader
Parses one ACE specification
parseDocumentText(String) DocumentReader
Creates a new Document for the given text.
parseDouble(boolean, long, int) SloppyMath
Taken from http://nerds-central.blogspot.com/2011/05/high-speed-parse-double-for-jvm.html
parseElement(String) XMLUtils
ParseException edu.stanford.nlp.ling.tokensregex.parser
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) ParseException
This constructor is used by the method "generateParseException"
in the generated parser.
ParseException() ParseException
The following constructors are for use by you for whatever
purpose you can think of.
ParseException(String) ParseException
Constructor with message.
ParseException edu.stanford.nlp.semgraph.semgrex
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) ParseException
This constructor is used by the method "generateParseException"
in the generated parser.
ParseException() ParseException
The following constructors are for use by you for whatever
purpose you can think of.
ParseException(String) ParseException
Constructor with message.
ParseException edu.stanford.nlp.trees.tregex
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) ParseException
This constructor is used by the method "generateParseException"
in the generated parser.
ParseException() ParseException
The following constructors are for use by you for whatever
purpose you can think of.
ParseException(String) ParseException
Constructor with message.
ParseException edu.stanford.nlp.trees.tregex.tsurgeon
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) ParseException
This constructor is used by the method "generateParseException"
in the generated parser.
ParseException() ParseException
The following constructors are for use by you for whatever
purpose you can think of.
ParseException(String) ParseException
Constructor with message.
parseExtraDeps(String) CoNLLUUtils
Parses the value of the extra dependencies column in a CoNLL-U file
and returns them in a HashMap with the governor indices as keys
and the relation names as values.
parseFallback() ParserQuery
The model had to fall back to a simpler model on the previous parse
parseFallback() LexicalizedParserQuery
parseFallback() RerankingParserQuery
The model had to fall back to a simpler model on the previous parse
parseFallback() ShiftReduceParserQuery
parseFeatures(String) CoNLLUUtils
Parses the value of the feature column in a CoNLL-U file
and returns them in a HashMap with the feature names as keys
and the feature values as values.
parseFields(BufferedReader, String, int[], int[]) MemoryMonitor
parseFile(BufferedReader, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, boolean, String) AnnotatedTextReader
ParseFiles edu.stanford.nlp.parser.lexparser
Runs the parser over a set of files.
ParseFiles(Options, TreePrint, LexicalizedParser) ParseFiles
parseFiles(String[], int, boolean, TokenizerFactory<? extends HasWord>, String, String, Function<List<HasWord>, List<HasWord>>, String, Options, TreePrint, LexicalizedParser) ParseFiles
Parse the files with names given in the String array args elements from
index argIndex on.
parseFiles(String[], int, boolean, TokenizerFactory<? extends HasWord>, String, String, Function<List<HasWord>, List<HasWord>>, String) ParseFiles
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.CorefChain.CorefMention
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain.CorefMention
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain.CorefMention
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain.CorefMention
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.CorefChain.CorefMention
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain.CorefMention
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.CorefChain
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.CorefChain
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.CorefChain
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.DependencyGraph.Edge
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Edge
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Edge
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Edge
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.DependencyGraph.Edge
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Edge
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.DependencyGraph.Node
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Node
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Node
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Node
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.DependencyGraph.Node
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph.Node
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.DependencyGraph
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.DependencyGraph
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.DependencyGraph
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Document
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Document
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Document
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Document
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Document
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Document
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Entity
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Entity
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Entity
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Entity
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Entity
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Entity
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.IndexedWord
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.IndexedWord
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.IndexedWord
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.IndexedWord
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.IndexedWord
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.IndexedWord
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.MapIntString
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapIntString
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapIntString
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapIntString
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.MapIntString
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapIntString
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.MapStringString
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapStringString
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapStringString
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapStringString
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.MapStringString
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.MapStringString
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Mention
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Mention
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Mention
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Mention
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Mention
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Mention
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.NERMention
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.NERMention
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.NERMention
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.NERMention
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.NERMention
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.NERMention
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Operator
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Operator
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Operator
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Operator
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Operator
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Operator
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.ParseTree
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.ParseTree
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.ParseTree
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.ParseTree
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.ParseTree
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.ParseTree
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Polarity
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Polarity
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Polarity
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Polarity
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Polarity
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Polarity
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Quote
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Quote
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Quote
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Quote
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Quote
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Quote
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Relation
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Relation
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Relation
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Relation
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Relation
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Relation
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.RelationTriple
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.RelationTriple
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.RelationTriple
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.RelationTriple
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.RelationTriple
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.RelationTriple
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Section
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Section
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Section
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Section
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Section
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Section
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Sentence
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Sentence
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Sentence
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Sentence
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Sentence
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Sentence
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.SentenceFragment
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SentenceFragment
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SentenceFragment
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SentenceFragment
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.SentenceFragment
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SentenceFragment
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Span
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Span
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Span
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Span
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Span
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Span
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.SpeakerInfo
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SpeakerInfo
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SpeakerInfo
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SpeakerInfo
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.SpeakerInfo
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.SpeakerInfo
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Timex
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Timex
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Timex
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Timex
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Timex
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Timex
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.Token
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Token
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Token
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Token
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.Token
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.Token
parseFrom(com.google.protobuf.ByteString) CoreNLPProtos.TokenLocation
parseFrom(com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.TokenLocation
parseFrom(byte[], com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.TokenLocation
parseFrom(InputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.TokenLocation
parseFrom(com.google.protobuf.CodedInputStream) CoreNLPProtos.TokenLocation
parseFrom(com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos.TokenLocation
parseInstant(String, Optional<ZoneId>) SUTime
Try parsing a given string into an Instant in as many ways as we know how.
parseInt(String) SloppyMath
From http://nadeausoftware.com/articles/2009/08/java_tip_how_parse_integers_quickly
Parse an integer very quickly, without sanity checks.
parseJsonTree(String, List<CoreLabel>) TSVUtils
Parse a JSON formatted tree into a SemanticGraph.
parseMethod(String) StochasticCalculateMethods
parseMultiple(List<? extends List<? extends HasWord>>) LexicalizedParser
parseMultiple(List<? extends List<? extends HasWord>>, int) LexicalizedParser
Will launch multiple threads which calls parse on
each of the sentences in order, returning the
resulting parse trees in the same order.
parseNode(Env, String) TokenSequenceParser
parseNode(Env, String) SequencePattern.Parser
parseNoMemory() ParserQuery
The model ran out of memory on the most recent parse
parseNoMemory() LexicalizedParserQuery
parseNoMemory() RerankingParserQuery
The model ran out of memory on the most recent parse
parseNoMemory() ShiftReduceParserQuery
TODO: add memory handling?
parseOperation(String) Tsurgeon
Parser edu.stanford.nlp.parser
The interface for parser objects.
Parser edu.stanford.nlp.parser.ui
A simple GUI app for Parsing.
Parser() Parser
Parser(String, String) Parser
Creates new Parser Frame.
PARSER CoreNLPProtos.CorefChain.CorefMention
Deprecated.
parser() CoreNLPProtos.CorefChain.CorefMention
PARSER CoreNLPProtos.CorefChain
Deprecated.
parser() CoreNLPProtos.CorefChain
PARSER CoreNLPProtos.DependencyGraph.Edge
Deprecated.
parser() CoreNLPProtos.DependencyGraph.Edge
PARSER CoreNLPProtos.DependencyGraph.Node
Deprecated.
parser() CoreNLPProtos.DependencyGraph.Node
PARSER CoreNLPProtos.DependencyGraph
Deprecated.
parser() CoreNLPProtos.DependencyGraph
PARSER CoreNLPProtos.Document
Deprecated.
parser() CoreNLPProtos.Document
PARSER CoreNLPProtos.Entity
Deprecated.
parser() CoreNLPProtos.Entity
PARSER CoreNLPProtos.IndexedWord
Deprecated.
parser() CoreNLPProtos.IndexedWord
PARSER CoreNLPProtos.MapIntString
Deprecated.
parser() CoreNLPProtos.MapIntString
PARSER CoreNLPProtos.MapStringString
Deprecated.
parser() CoreNLPProtos.MapStringString
PARSER CoreNLPProtos.Mention
Deprecated.
parser() CoreNLPProtos.Mention
PARSER CoreNLPProtos.NERMention
Deprecated.
parser() CoreNLPProtos.NERMention
PARSER CoreNLPProtos.Operator
Deprecated.
parser() CoreNLPProtos.Operator
PARSER CoreNLPProtos.ParseTree
Deprecated.
parser() CoreNLPProtos.ParseTree
PARSER CoreNLPProtos.Polarity
Deprecated.
parser() CoreNLPProtos.Polarity
PARSER CoreNLPProtos.Quote
Deprecated.
parser() CoreNLPProtos.Quote
PARSER CoreNLPProtos.Relation
Deprecated.
parser() CoreNLPProtos.Relation
PARSER CoreNLPProtos.RelationTriple
Deprecated.
parser() CoreNLPProtos.RelationTriple
PARSER CoreNLPProtos.Section
Deprecated.
parser() CoreNLPProtos.Section
PARSER CoreNLPProtos.Sentence
Deprecated.
parser() CoreNLPProtos.Sentence
PARSER CoreNLPProtos.SentenceFragment
Deprecated.
parser() CoreNLPProtos.SentenceFragment
PARSER CoreNLPProtos.Span
Deprecated.
parser() CoreNLPProtos.Span
PARSER CoreNLPProtos.SpeakerInfo
Deprecated.
parser() CoreNLPProtos.SpeakerInfo
PARSER CoreNLPProtos.Timex
Deprecated.
parser() CoreNLPProtos.Timex
PARSER CoreNLPProtos.Token
Deprecated.
parser() CoreNLPProtos.Token
PARSER CoreNLPProtos.TokenLocation
Deprecated.
parser() CoreNLPProtos.TokenLocation
PARSER_MAXLEN_PROP Constants
PARSER_MODEL_PROP Constants
ParserAnnotations edu.stanford.nlp.parser.common
Parse time options for the Stanford lexicalized parser.
ParserAnnotations.CandidatePartOfSpeechAnnotation edu.stanford.nlp.parser.common
This CoreMap key represents a regular expression which the parser
will try to match when assigning tags.
ParserAnnotations.ConstraintAnnotation edu.stanford.nlp.parser.common
The CoreMap key for getting a list of constraints to apply when parsing.
ParserAnnotator edu.stanford.nlp.pipeline
This class will add parse information to an Annotation.
ParserAnnotator(boolean, int) ParserAnnotator
ParserAnnotator(String, boolean, int, String[]) ParserAnnotator
ParserAnnotator(ParserGrammar, boolean, int) ParserAnnotator
ParserAnnotator(ParserGrammar, boolean, int, Function<Tree, Tree>) ParserAnnotator
ParserAnnotator(String, Properties) ParserAnnotator
ParserAnnotatorUtils edu.stanford.nlp.pipeline
ParserConstraint edu.stanford.nlp.parser.common
A Constraint represents a restriction on possible parse trees to
consider.
ParserConstraint(int, int, String) ParserConstraint
ParserConstraint(int, int, Pattern) ParserConstraint
ParserException(Exception) StringParsingTask.ParserException
ParserException(String) StringParsingTask.ParserException
ParserGrammar edu.stanford.nlp.parser.common
An interface for the classes which store the data for a parser.
ParserGrammar() ParserGrammar
ParserPanel edu.stanford.nlp.parser.ui
Provides a simple GUI Panel for Parsing.
ParserPanel() ParserPanel
Creates new form ParserPanel
parserProcessor CorefMentionFinder
parserProcessor RuleBasedCorefMentionFinder
parserProcessor GenericDataSetReader
Additional NL processor that implements only syntactic parsing (needed for head detection)
We need this processor to detect heads of predicted entities that cannot be matched to an existing constituent.
parserQuery() ParserGrammar
ParserQuery edu.stanford.nlp.parser.common
parserQuery() LexicalizedParser
parserQuery() ShiftReduceParser
ParserQueryEval edu.stanford.nlp.parser.metrics
Evaluate based on the ParserQuery rather than the Tree produced
ParserUtils edu.stanford.nlp.parser.common
Factor out some useful methods more than lexparser module may want.
parseSentence(Optional<String>, Optional<String>, String, String, String, String, String, String, String, Optional<String>) TSVUtils
Create an Annotation object (with a single sentence) from the given specification, as Postgres would output them
parseSequence(Env, String) TokenSequenceParser
parseSequence(Env, String) SequencePattern.Parser
parseSequenceWithAction(Env, String) TokenSequenceParser
parseSequenceWithAction(Env, String) SequencePattern.Parser
parseSkipped() ParserQuery
The sentence was skipped, probably because it was too long or of length 0
parseSkipped() LexicalizedParserQuery
parseSkipped() RerankingParserQuery
The sentence was skipped, probably because it was too long or of length 0
parseSkipped() ShiftReduceParserQuery
TODO: skip sentences which are too long
parsesToString(List<ScoredObject<Tree>>) CharniakScoredParsesReaderWriter
Convert list of scored parse trees to string representing scored parses
(in the charniak parser output format).
parseString(String) DelimitRegExIterator
parseString(String) XMLBeginEndIterator
parseStringKeys(String[]) CoreLabel
parseStrings(List<String>) GenericDataSetReader
parseStrings(List<String>) LexicalizedParser
Will process a list of strings into a list of HasWord and return
the parse tree associated with that list.
parseSucceeded() ParserQuery
Parsing succeeded without any horrible errors or fallback
parseSucceeded() LexicalizedParserQuery
parseSucceeded() RerankingParserQuery
Parsing succeeded without any horrible errors or fallback
parseSucceeded() ShiftReduceParserQuery
parseTag(String) XMLUtils
parseTree ForwardEntailerSearchProblem
The parse of this fragment.
parseTree SentenceFragment
The parse tree for this sentence fragment.
parseTree(List<? extends HasWord>) LexicalizedParser
Similar to parse(), but instead of returning an X tree on failure, returns null.
parseTree(String, List<CoreLabel>) TSVUtils
Parse a CoNLL formatted tree into a SemanticGraph.
PARSETREE_FIELD_NUMBER CoreNLPProtos.Sentence
parseUnparsable() ParserQuery
The model could not parse the most recent sentence for some reason
parseUnparsable() LexicalizedParserQuery
parseUnparsable() RerankingParserQuery
The model could not parse the most recent sentence for some reason
parseUnparsable() ShiftReduceParserQuery
parsevalObjectify(Tree, TreeTransformer) AbstractTreebankParserParams
Takes a Tree and a collinizer and returns a Collection of labeled
Constituents for PARSEVAL.
parsevalObjectify(Tree, TreeTransformer, boolean) AbstractTreebankParserParams
Takes a Tree and a collinizer and returns a Collection of
Constituents for
PARSEVAL evaluation.
ParsingSystem edu.stanford.nlp.parser.nndep
Defines a transition-based parsing framework for dependency parsing.
ParsingSystem(TreebankLanguagePack, List<String>, boolean) ParsingSystem
ParsingThreadsafeProcessor edu.stanford.nlp.parser.common
Takes a sentence and returns a ParserQuery with the given sentence parsed.
ParsingThreadsafeProcessor(ParserGrammar) ParsingThreadsafeProcessor
ParsingThreadsafeProcessor(ParserGrammar, PrintWriter) ParsingThreadsafeProcessor
PART_VERB ChineseGrammaticalRelations
The "participial modifier" grammatical relation.
PART_VERB UniversalChineseGrammaticalRelations
The "participial modifier" (prtmod) grammatical relation.
partialMatchComparator() TrieMapMatcher
PartialTime(SUTime.Time, Partial) SUTime.PartialTime
PartialTime(SUTime.PartialTime) SUTime.PartialTime
PartialTime(Partial) SUTime.PartialTime
PartialTime(SUTime.StandardTemporalType, Partial) SUTime.PartialTime
PartialTime() SUTime.PartialTime
partitionIntoFolds(List<T>, int) CollectionUtils
Split a list into numFolds (roughly) equally sized folds.
partitiveRule(Mention, List<CoreLabel>, Dictionaries) CorefMentionFinder
PartOfSpeechAnnotation() CoreAnnotations.PartOfSpeechAnnotation
parts Dictionaries
parts Dictionaries
partsEn WordLists
partsZh WordLists
passiveAuxWordRegex EnglishPatterns
password StanfordCoreNLPServer
pasteDocument() NERGUI
path() CEDict
pathFromRoot(Tree, Tree) Trees
returns list of tree nodes to root from t.
pathNodeToNode(Tree, Tree) Tree
Given nodes t1 and t2 which are
dominated by this node, returns a list of all the nodes on the
path from t1 to t2, inclusive, or null if none found.
pathNodeToNode(Tree, Tree, Tree) Trees
returns a list of categories that is the path from Tree from to Tree
to within Tree root.
pathsToData AbstractDataset
pathsToMappings AbstractDataset
PathToFileFunction() ObjectBank.PathToFileFunction
pattern() BasicSequenceMatchResult
pattern() SequenceMatchResult
Returns pattern used to create this sequence match result
pattern SequenceMatchRules.AnnotationExtractRule
Pattern - the type of which is dependent on the rule type
pattern() SequencePattern
Pattern edu.stanford.nlp.patterns
An abstract class to represent a Pattern.
Pattern(PatternFactory.PatternType) Pattern
pattern() SemgrexPattern
pattern() TregexPattern
PATTERN_FIELD TokensRegexNERAnnotator
PatternExpr() SequencePattern.PatternExpr
PatternFactory edu.stanford.nlp.patterns
Created by sonalg on 10/27/14.
PatternFactory() PatternFactory
PatternFactory.PatternType edu.stanford.nlp.patterns
PatternHumanLabel1() PatternsAnnotations.PatternHumanLabel1
PatternHumanLabel10() PatternsAnnotations.PatternHumanLabel10
PatternHumanLabel2() PatternsAnnotations.PatternHumanLabel2
PatternHumanLabel3() PatternsAnnotations.PatternHumanLabel3
PatternHumanLabel4() PatternsAnnotations.PatternHumanLabel4
PatternHumanLabel5() PatternsAnnotations.PatternHumanLabel5
PatternHumanLabel6() PatternsAnnotations.PatternHumanLabel6
PatternHumanLabel7() PatternsAnnotations.PatternHumanLabel7
PatternHumanLabel8() PatternsAnnotations.PatternHumanLabel8
PatternHumanLabel9() PatternsAnnotations.PatternHumanLabel9
PatternLabel1() PatternsAnnotations.PatternLabel1
PatternLabel10() PatternsAnnotations.PatternLabel10
PatternLabel2() PatternsAnnotations.PatternLabel2
PatternLabel3() PatternsAnnotations.PatternLabel3
PatternLabel4() PatternsAnnotations.PatternLabel4
PatternLabel5() PatternsAnnotations.PatternLabel5
PatternLabel6() PatternsAnnotations.PatternLabel6
PatternLabel7() PatternsAnnotations.PatternLabel7
PatternLabel8() PatternsAnnotations.PatternLabel8
PatternLabel9() PatternsAnnotations.PatternLabel9
patternsandWords GetPatternsFromDataMultiClass
patternsandWords4Label ScorePatterns
PatternsAnnotations edu.stanford.nlp.patterns
PatternsAnnotations() PatternsAnnotations
PatternsAnnotations.Features edu.stanford.nlp.patterns
PatternsAnnotations.LongestMatchedPhraseForEachLabel edu.stanford.nlp.patterns
For each label, what was the longest phrase that matched.
PatternsAnnotations.MatchedPattern edu.stanford.nlp.patterns
PatternsAnnotations.MatchedPatterns edu.stanford.nlp.patterns
PatternsAnnotations.MatchedPhrases edu.stanford.nlp.patterns
All matched phrases - can be from multiple labels
PatternsAnnotations.OtherSemanticLabel edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel1 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel10 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel2 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel3 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel4 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel5 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel6 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel7 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel8 edu.stanford.nlp.patterns
PatternsAnnotations.PatternHumanLabel9 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel1 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel10 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel2 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel3 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel4 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel5 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel6 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel7 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel8 edu.stanford.nlp.patterns
PatternsAnnotations.PatternLabel9 edu.stanford.nlp.patterns
PatternsAnnotations.ProcessedTextAnnotation edu.stanford.nlp.patterns
PatternsAnnotations.SeedLabeledOrNot edu.stanford.nlp.patterns
patternScoring ConstantsAndVariables
Pattern Scoring mechanism.
patternScoring ScorePatterns
PatternsForEachToken E > - Class in edu.stanford.nlp.patterns.surface
Created by Sonal Gupta on 10/8/14.
PatternsForEachToken() PatternsForEachToken
patternsForEachToken PatternsForEachTokenInMemory
PatternsForEachTokenDB E extends Pattern > - Class in edu.stanford.nlp.patterns.surface
Created by sonalg on 10/22/14.
PatternsForEachTokenDB(Properties, Map<String, Map<Integer, Set<E>>>) PatternsForEachTokenDB
PatternsForEachTokenDB(Properties) PatternsForEachTokenDB
PatternsForEachTokenInMemory E extends Pattern > - Class in edu.stanford.nlp.patterns.surface
Created by sonalg on 10/22/14.
PatternsForEachTokenInMemory(Properties, Map<String, Map<Integer, Set<E>>>) PatternsForEachTokenInMemory
PatternsForEachTokenInMemory(Properties) PatternsForEachTokenInMemory
patternsWordsDir GetPatternsFromDataMultiClass.Flags
patternToDepPattern(Pair<IndexedWord, GrammaticalRelation>, DataInstance) DepPatternFactory
PatternToken edu.stanford.nlp.patterns.surface
Class to represent a target phrase.
PatternToken(String, boolean, boolean, int, String, boolean, boolean, String) PatternToken
patternType ConstantsAndVariables
patternType GetPatternsFromDataMultiClass.Flags
pcfgThreshold TestOptions
If this variable is true, and the sum of the inside and outside score
for a constituent is worse than the best known score for a sentence by
more than pcfgThresholdValue, then -Inf is returned as the
outside Score by oScore() (while otherwise the true
outside score is returned).
pcfgThresholdValue TestOptions
pcond(int, int) LambdaSolve
pctSegmenterLenAdjust SeqClassifierFlags
pctSegmenterProp SeqClassifierFlags
pctSegmenterScale SeqClassifierFlags
pctSegmenterScaleByCRF SeqClassifierFlags
pDen EvalUtils.AbstractEvaluator
PeakMemoryMonitor() MemoryMonitor.PeakMemoryMonitor
PeakMemoryMonitor(int, int) MemoryMonitor.PeakMemoryMonitor
PeakMemoryMonitor(int, int, PrintStream) MemoryMonitor.PeakMemoryMonitor
pearsonCorrelation(double[], double[]) ArrayMath
Direct computation of Pearson product-moment correlation coefficient.
pearsonsCorrelationCoefficient(Counter<E>, Counter<E>) Counters
peek(String) Env
peek() DelimitRegExIterator
peek() LineIterator
peek() AbstractTokenizer
This is an optional operation, by default supported.
peek() Tokenizer
Returns the next token, without removing it, from the Tokenizer, so
that the same token will be again returned on the next call to
next() or peek().
peek() MulticoreWrapper
Indicates whether or not a new result is available.
peek() StringParsingTask
peek() TreeShapedStack
Returns the data in the top node of the stack.
peekNode() JJTTsurgeonParserState
penaltyType ChineseTreebankParserParams
penaltyType should be set as follows:
0: no length penalty
1: quadratic length penalty
2: penalty for continuation chars only
TODO: make this an enum
pennPOSToWordnetPOS(String) StringUtils
Computes the WordNet 2.0 POS tag corresponding to the PTB POS tag s.
pennPrint(PrintWriter) Tree
Print the tree as done in Penn Treebank merged files.
pennPrint(PrintWriter, Function<Label, String>) Tree
pennPrint(PrintStream) Tree
Print the tree as done in Penn Treebank merged files.
pennPrint(PrintStream, Function<Label, String>) Tree
pennPrint() Tree
Print the tree as done in Penn Treebank merged files.
pennPunctTags PennTreebankLanguagePack
pennString() Tree
Calls pennPrint() and saves output to a String
PennTreebankLanguagePack edu.stanford.nlp.trees
Specifies the treebank/language specific components needed for
parsing the English Penn Treebank.
PennTreebankLanguagePack() PennTreebankLanguagePack
Gives a handle to the TreebankLanguagePack
PennTreebankTokenizer edu.stanford.nlp.trees
Builds a tokenizer for English PennTreebank (release 2) trees.
PennTreebankTokenizer(Reader) PennTreebankTokenizer
PennTreeReader edu.stanford.nlp.trees
This class implements the TreeReader interface to read Penn Treebank-style
files.
PennTreeReader(Reader) PennTreeReader
Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory) PennTreeReader
Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory, TreeNormalizer) PennTreeReader
Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) PennTreeReader
Read parse trees from a Reader.
PennTreeReaderFactory edu.stanford.nlp.trees
PennTreeReaderFactory() PennTreeReaderFactory
PennTreeReaderFactory(TreeFactory) PennTreeReaderFactory
PennTreeReaderFactory(TreeNormalizer) PennTreeReaderFactory
PennTreeReaderFactory(TreeFactory, TreeNormalizer) PennTreeReaderFactory
PENNY Units.Currencies
PERCENT_SYMBOL_PATTERN NumberSequenceClassifier
PERCENT_TAG ChineseNumberSequenceClassifier
PERCENT_WORD_PATTERN NumberSequenceClassifier
PERCENT_WORD_PATTERN1 ChineseNumberSequenceClassifier
PERCENT_WORD_PATTERN2 ChineseNumberSequenceClassifier
percentageOfTrain MachineReadingProperties
PercentAnnotation() CoreAnnotations.PercentAnnotation
perceptronDebug SeqClassifierFlags
PerceptronModel edu.stanford.nlp.parser.shiftreduce
PerceptronModel(ShiftReduceOptions, Index<Transition>, Set<String>, Set<String>, Set<String>) PerceptronModel
PerceptronModel(PerceptronModel) PerceptronModel
percolateHeadAnnotations(HeadFinder) Tree
Finds the head words of each tree and assigns
HeadWordLabelAnnotation on each node pointing to the correct
CoreLabel.
percolateHeadIndices() Tree
Percolates terminal indices through a dependency tree.
percolateHeads(HeadFinder) Tree
Finds the heads of the tree.
percolateHeads(HeadFinder) TreeGraphNode
Uses the specified
{@code HeadFinder}
to determine the heads for this node and all its descendants,
and to store references to the head word node and head tag node
in this node's
{@code CoreLabel} and the
CoreLabels of all its descendants.
PeriodicTemporalSet(SUTime.Temporal, SUTime.Duration, String, String) SUTime.PeriodicTemporalSet
PeriodicTemporalSet(SUTime.PeriodicTemporalSet, SUTime.Temporal, SUTime.Duration, SUTime.Range, String, String) SUTime.PeriodicTemporalSet
perSelectNeg ConstantsAndVariables
These are used to learn weights for features if using logistic regression.
perSelectRand ConstantsAndVariables
These are used to learn weights for features if using logistic regression.
person Mention
person Mention
Person edu.stanford.nlp.quoteattribution
Created by michaelf on 12/20/15.
Person(String, String, List<String>) Person
Person.Gender edu.stanford.nlp.quoteattribution
PERSON_FIELD_NUMBER CoreNLPProtos.Mention
personList XMLToAnnotation.Data
personPronouns Dictionaries
personPronouns Dictionaries
perturbCounts(C, Random, double) Counters
perVals FrenchMorphoFeatureSpecification
phInPatScoresCache GetPatternsFromDataMultiClass
PHONE_PART RobustTokenizer
PHRASAL_VERB_PARTICLE EnglishGrammaticalRelations
The "phrasal verb particle" grammatical relation.
PHRASAL_VERB_PARTICLE UniversalEnglishGrammaticalRelations
The "phrasal verb particle" grammatical relation.
Phrase(PhraseTable.WordList, String, String, Object) PhraseTable.Phrase
phraseGazettes SeqClassifierFlags
PhraseMatch(PhraseTable.Phrase, int, int) PhraseTable.PhraseMatch
PHRASEMATCH_LENGTH_ENDPOINTS_COMPARATOR PhraseTable
PhraseScorer E extends Pattern > - Class in edu.stanford.nlp.patterns
PhraseScorer(ConstantsAndVariables) PhraseScorer
PhraseScorer.Normalization edu.stanford.nlp.patterns
PhraseScorer.Similarities edu.stanford.nlp.patterns
PhraseStringCollection(PhraseTable, boolean) PhraseTable.PhraseStringCollection
PhraseTable edu.stanford.nlp.ling.tokensregex
Table used to lookup multi-word phrases.
PhraseTable() PhraseTable
PhraseTable(int) PhraseTable
PhraseTable(boolean, boolean, boolean) PhraseTable
PhraseTable.Phrase edu.stanford.nlp.ling.tokensregex
A phrase is a multiword expression
PhraseTable.PhraseMatch edu.stanford.nlp.ling.tokensregex
Represents a matched phrase
PhraseTable.PhraseStringCollection edu.stanford.nlp.ling.tokensregex
PhraseTable.StringList edu.stanford.nlp.ling.tokensregex
PhraseTable.TokenList edu.stanford.nlp.ling.tokensregex
PhraseTable.WordList edu.stanford.nlp.ling.tokensregex
PhraseWordsAnnotation() CoreAnnotations.PhraseWordsAnnotation
PhraseWordsTagAnnotation() CoreAnnotations.PhraseWordsTagAnnotation
pickFont(Graphics2D, Tree, Dimension) TreeJPanel
pickFont() TreeJPanel
PingHandler() StanfordCoreNLPServer.PingHandler
PlainTextDocumentReaderAndWriter IN extends CoreMap > - Class in edu.stanford.nlp.sequences
This class provides methods for reading plain text documents and writing out
those documents once classified in several different formats.
PlainTextDocumentReaderAndWriter() PlainTextDocumentReaderAndWriter
Construct a PlainTextDocumentReaderAndWriter.
plainTextDocumentReaderAndWriter SeqClassifierFlags
PlainTextDocumentReaderAndWriter.OutputStyle edu.stanford.nlp.sequences
plainTextReaderAndWriter() AbstractSequenceClassifier
This is the default DocumentReaderAndWriter used for reading text files for runtime
classification.
platt SVMLightClassifier
plausiblyHasRelation(KBPRelationExtractor.NERTag, KBPRelationExtractor.NERTag) KBPRelationExtractor.RelationType
Returns whether two entity types could plausibly have a relation hold between them.
PLURAL_PROP HybridCorefProperties
PLURAL_PROP Constants
pluralPronouns Dictionaries
pluralPronouns Dictionaries
pluralPronounsEn WordLists
pluralPronounsZh WordLists
pluralWords Dictionaries
pluralWords Dictionaries
PLUS RobustTokenizer
plus(DoubleAD, DoubleAD) ADMath
plus(SimpleTensor) SimpleTensor
Returns other added to the current object, which is unaffected.
plusConst(DoubleAD, double) ADMath
plusEquals(DoubleAD) DoubleAD
plusEqualsConst(double) DoubleAD
pNum EvalUtils.AbstractEvaluator
Pointer T > - Class in edu.stanford.nlp.util
A pointer to an object, to get around not being able to access non-final
variables within an anonymous function.
Pointer() Pointer
Create a pointer pointing nowhere.
Pointer(T) Pointer
Create a pointer pointing at the given object.
pointwiseMutualInformation(Counter<T1>, Counter<T2>, Counter<Pair<T1, T2>>, Pair<T1, T2>) Counters
poisson(int, double) SloppyMath
Polarity edu.stanford.nlp.naturalli
A class intended to be attached to a lexical item, determining what mutations are valid on it while
maintaining valid Natural Logic inference.
Polarity(List<Pair<Monotonicity, MonotonicityType>>) Polarity
Create a polarity from a list of operators in scope
Polarity(byte[]) Polarity
Create a polarity item by directly copying the projection function from
NaturalLogicRelations to
their projected relation.
POLARITY_DIR_FIELD_NUMBER CoreNLPProtos.Token
POLARITY_FIELD_NUMBER CoreNLPProtos.Token
PolarityAnnotation() CoreAnnotations.PolarityAnnotation
PolarityAnnotation() NaturalLogicAnnotations.PolarityAnnotation
PolarityDirectionAnnotation() NaturalLogicAnnotations.PolarityDirectionAnnotation
poll() MulticoreWrapper
Returns the next available result.
pollAtMostEvery(long) MemoryMonitor
pollEvery MemoryMonitor
pollFree(boolean) MemoryMonitor
pollVMstat(boolean) MemoryMonitor
pool StanfordCoreNLP
The annotator pool we should be using to get annotators.
pop(String) Env
pop() TreeShapedStack
Returns the previous state.
popNode() JJTTsurgeonParserState
populate(Env, Map<String, String>, Function<Pair<Env, String>, K>) ComplexNodePattern
populated(int, int) TaggerExperiments
populatePredictedLabels(List<Tree>) AbstractEvaluate
Sets the predicted sentiment label for all trees given.
populatePredictedLabels(List<Tree>) Evaluate
populateTablesInSQL(String, Collection<Integer>) GoogleNGramsSQLBacked
port ServerAnnotatorImplementations
The port to hit on the server
Ports edu.stanford.nlp.net
Contains a couple useful utility methods related to networks.
Ports() Ports
POS_FIELD_NUMBER CoreNLPProtos.Token
position CorefChain.CorefMention
Position is a binary tuple of (sentence number, mention number
in that sentence).
position CorefChain.CorefMention
Position is a binary tuple of (sentence number, mention number
in that sentence).
POSITION_FIELD_NUMBER CoreNLPProtos.CorefChain.CorefMention
PositionAnnotation() CoreAnnotations.PositionAnnotation
PositionedTree(Tree, Tree) SemanticGraphUtils.PositionedTree
positions Document
Position of each mention in the input matrix
Each mention occurrence with sentence # and position within sentence
(Nth mention, not Nth token)
positions Document
Position of each mention in the input matrix
Each mention occurrence with sentence # and position within sentence
(Nth mention, not Nth token)
positiveDatumWeight ClauseSplitterSearchProblem.TrainingOptions
positivePairs ClustererDataLoader.ClustererDoc
positiveSimilarityThresholdLowPrecision ConstantsAndVariables
posMapOptions AbstractDataset
posMapper AbstractDataset
posModelPath GetPatternsFromDataMultiClass.Flags
POSSESSION_MODIFIER EnglishGrammaticalRelations
The "possession" grammatical relation between the possessum and the possessor.
POSSESSION_MODIFIER UniversalEnglishGrammaticalRelations
The "possession" grammatical relation between the possessum and the possessor.
POSSESSIVE_MODIFIER EnglishGrammaticalRelations
The "possessive" grammatical relation.
POSSESSIVE_MODIFIER UniversalChineseGrammaticalRelations
possessivePronouns Dictionaries
possessivePronouns Dictionaries
possessivePronounsEn WordLists
possessivePronounsZh WordLists
POSSIBLE_TAGS_ONLY TaggerConfig
PossibleAnswersAnnotation() CoreAnnotations.PossibleAnswersAnnotation
possiblePlural(String) FrenchUnknownWordSignatures
possibleTagsOnly() TaggerConfig
possibleValues EntityCachingAbstractSequencePriorBIO
posTag(int) Sentence
posTag() Token
posTagger(Properties) AnnotatorImplementations
Part of speech tag
posTagger(Properties) ServerAnnotatorImplementations
Part of speech tag
POSTaggerAnnotator edu.stanford.nlp.pipeline
Wrapper for the maxent part of speech tagger.
POSTaggerAnnotator() POSTaggerAnnotator
Create a tagger annotator using the default English tagger from the models jar
(and non-verbose initialization).
POSTaggerAnnotator(boolean) POSTaggerAnnotator
POSTaggerAnnotator(String, boolean) POSTaggerAnnotator
POSTaggerAnnotator(String, boolean, int, int) POSTaggerAnnotator
Create a POS tagger annotator.
POSTaggerAnnotator(MaxentTagger) POSTaggerAnnotator
POSTaggerAnnotator(MaxentTagger, int, int) POSTaggerAnnotator
POSTaggerAnnotator(String, Properties) POSTaggerAnnotator
posTags() CoreSentence
list of pos tags
posTags(Properties) Sentence
The part of speech tags of the sentence.
posTags() Sentence
postGPA TrainOptions
postMortem() BiLexPCFGParser
postOperationFix(int, Tree[]) NoPunctuationHeadFinder
postOperationFix(int, Tree[]) AbstractCollinsHeadFinder
A way for subclasses to fix any heads under special conditions.
postOperationFix(int, Tree[]) CollinsHeadFinder
postOperationFix(int, Tree[]) SemanticHeadFinder
Overwrite the postOperationFix method.
postOperationFix(int, Tree[]) UniversalSemanticHeadFinder
Overwrite the postOperationFix method.
postOrderNodeList() Tree
postPA TrainOptions
postprocess(List<RobustTokenizer.WordToken>) RobustTokenizer
Redefine this method to implement additional domain-specific tokenization rules
postProcessDependencies(List<TypedDependency>) EnglishGrammaticalStructure
postProcessDependencies(List<TypedDependency>) GrammaticalStructure
Post process the dependencies in whatever way this language
requires.
postProcessDependencies(List<TypedDependency>) UniversalEnglishGrammaticalStructure
postProcessDependencies(SemanticGraph) UniversalEnglishGrammaticalStructure
POSTPROCESSING_PROP Constants
postprocessSentence(CoreMap, int) BasicEntityExtractor
postSplitters TrainOptions
postSplitWithBaseCategory TrainOptions
Whether, in post-splitting of categories, nodes are annotated with the
(grand)parent's base category or with its complete subcategorized
category.
POUND Units.Currencies
pow(double[], double) ArrayMath
raises each entry in array a by power c
pow(float[], float) ArrayMath
raises each entry in array a by power c
pow(double, double) SloppyMath
Returns an approximation to Math.pow(a,b) that is ~27x faster
with a margin of error possibly around ~10%.
pow(Counter<T>, double) Counters
POW_FUNCTION ValueFunctions
powerAlignProb SeqClassifierFlags
powerAlignProbAsAddition SeqClassifierFlags
powerSet(Set<E>) Sets
Returns the powerset (the set of all subsets) of set s.
powInPlace(double[], double) ArrayMath
Scales the values in this array by c.
powInPlace(float[], float) ArrayMath
Sets the values in this array by to their value taken to cth power.
powInPlace(Counter<T>, double) Counters
powNormalized(Counter<E>, double) Counters
Returns a counter where each element corresponds to the normalized count of
the corresponding element in c raised to the given power.
pparser FastFactoredParser
ppAttachmentEval() AbstractTreebankParserParams
Returns a language specific object for evaluating PP attachment
ppAttachmentEval() TreebankLangParserParams
Returns a language specific object for evaluating PP attachment
ppDeletionProbability(SemanticGraphEdge, Iterable<SemanticGraphEdge>) NaturalLogicWeights
PRCurve edu.stanford.nlp.classify
A class to create recall-precision curves given scores
used to fit the best monotonic function for logistic regression and SVMs.
PRCurve(String) PRCurve
reads scores with classes from a file, sorts by score and creates the arrays
PRCurve(String, boolean) PRCurve
reads scores with classes from a file, sorts by score and creates the arrays
PRCurve(List<Pair<Double, Integer>>) PRCurve
PreciseConstructs edu.stanford.nlp.coref.hybrid.sieve
PreciseConstructs() PreciseConstructs
PreciseConstructs edu.stanford.nlp.dcoref.sievepasses
PreciseConstructs() PreciseConstructs
precision(int) PRCurve
what is the best precision at the given recall
precision(String) KBPRelationExtractor.Accuracy
precision(Set<?>, Set<?>) AbstractEval
precision() ConfusionMatrix.Contingency
precisionMacro() KBPRelationExtractor.Accuracy
precisionMicro() KBPRelationExtractor.Accuracy
PrecisionRecallStats edu.stanford.nlp.stats
Utility class for aggregating counts of true positives, false positives, and
false negatives and computing precision/recall/F1 stats.
PrecisionRecallStats() PrecisionRecallStats
Constructs a new PrecisionRecallStats with initially 0 counts.
PrecisionRecallStats(Classifier<L, F>, Dataset<L, F>, L) PrecisionRecallStats
PrecisionRecallStats(int, int, int) PrecisionRecallStats
Constructs a new PrecisionRecallStats with the given initial counts.
preCompute() Classifier
preCompute(Set<Integer>) Classifier
Pre-compute hidden layer activations for some set of possible
feature inputs.
precondition(String) Extractor
This evaluates any precondition for a feature being applicable based
on a certain tag.
precondition(String) ExtractorVerbalVBNZero
PRECONJUNCT EnglishGrammaticalRelations
The "preconjunct" grammatical relation.
PRECONJUNCT UniversalEnglishGrammaticalRelations
The "preconjunct" grammatical relation.
predefinedHeaderFields TokensRegexNERAnnotator
PREDETERMINER EnglishGrammaticalRelations
The "predeterminer" grammatical relation.
PREDETERMINER UniversalEnglishGrammaticalRelations
The "predeterminer" grammatical relation.
PREDICATE EnglishGrammaticalRelations
The "predicate" grammatical relation.
PREDICATE UniversalEnglishGrammaticalRelations
The "predicate" grammatical relation.
PREDICATE_ASPECT ChineseGrammaticalRelations
The "aspect marker" grammatical relation.
predicateNominatives Mention
predicateNominatives Mention
PREDICATENOMINATIVES_FIELD_NUMBER CoreNLPProtos.Mention
predict(Example, Map<Integer, CompressedFeatureVector>, Compressor<String>) PairwiseModel
predict(double) SimpleLinearClassifier.Loss
predict(Set<String>, Set<String>) KBPRelationExtractor.Accuracy
predict(CoreMap) DependencyParser
Determine the dependency parse of the given sentence using the loaded model.
predict(List<? extends HasWord>) DependencyParser
PredictedAnswerAnnotation() CoreAnnotations.PredictedAnswerAnnotation
PredictedClass() RNNCoreAnnotations.PredictedClass
predictedMentions Document
The list of predicted mentions
predictedMentionsByID Document
All mentions in a document mentionID -> mention
predictedOrderedMentionsBySentence Document
The list of predicted mentions
PredictionError() RNNCoreAnnotations.PredictionError
PREDICTIONS KBPEnsembleExtractor
PREDICTIONS KBPSemgrexExtractor
PREDICTIONS KBPStatisticalExtractor
PREDICTIONS KBPTokensregexExtractor
Predictions() RNNCoreAnnotations.Predictions
predictionsName StatisticalCorefTrainer
predictSplits TrainOptions
Use the method reported by Berkeley for splitting and recombining
states.
predProp SeqClassifierFlags
Preferences edu.stanford.nlp.trees.tregex.gui
Manages storage and retrieval of application preferences.
Preferences() Preferences
PreferencesPanel edu.stanford.nlp.trees.tregex.gui
Class for creating the preferences panel which holds user definable preferences (e.g., tree display size,
highlight color) and syncs these preferences with the appropriate data structures.
PreferencesPanel(TregexGUI) PreferencesPanel
PREFIXBE_FIELD_NUMBER CoreNLPProtos.RelationTriple
prefixSystem Unit
preloadedAnnotators StanfordCoreNLPServer
preOrderNodeList() Tree
prepCCTransform(Tree) CoordinationTransformer
prependEmbedding SeqClassifierFlags
PREPOSITION UniversalEnglishGrammaticalRelations
The PREPOSITION grammatical relation is only here as a temporary
relation.
PREPOSITIONAL_COMPLEMENT EnglishGrammaticalRelations
The "prepositional complement" grammatical relation.
PREPOSITIONAL_LOC_MODIFIER ChineseGrammaticalRelations
The "prepositional localizer modifier" grammatical relation.
PREPOSITIONAL_MODIFIER EnglishGrammaticalRelations
The "prepositional modifier" grammatical relation.
PREPOSITIONAL_MODIFIER ChineseGrammaticalRelations
The "prepositional modifier" grammatical relation.
PREPOSITIONAL_MODIFIER UniversalChineseGrammaticalRelations
The "prepositional modifier" grammatical relation.
PREPOSITIONAL_OBJECT EnglishGrammaticalRelations
The "prepositional object" grammatical relation.
PREPOSITIONAL_OBJECT ChineseGrammaticalRelations
The "prepositional object" grammatical relation.
preprocess(Document, Dictionaries, LogisticClassifier<String, String>, HeadFinder) DocumentPreprocessor
Fill missing information in document including mention ID, mention attributes, syntactic relation, etc.
preprocessedTerms Mention
preprocessedTerms Mention
PREPROCESSEDTERMS_FIELD_NUMBER CoreNLPProtos.Mention
preprocessSearchTerm() Mention
preprocessSearchTerm() Mention
preProcessSentences GenericDataSetReader
If true, we perform syntactic analysis of the dataset sentences and annotations
preProcessSentences(Annotation) GenericDataSetReader
Take a dataset Annotation, generate their parse trees and identify syntactic heads (and head spans, if necessary)
prerequisitesMet(SemanticGraph, SemanticGraphEdge) ClauseSplitterSearchProblem.Action
A check to make sure this is actually a valid action to take, in the context of the given tree.
presentableText() BasicDocument
Returns a "pretty" version of the words in this Document suitable for
display.
PresetAnswerAnnotation() CoreAnnotations.PresetAnswerAnnotation
PresetSequenceClassifier IN extends CoreMap > - Class in edu.stanford.nlp.ie
Created by jebolton on 7/14/17.
PresetSequenceClassifier(Properties) PresetSequenceClassifier
preTag TestOptions
Tag the sentences first, then parse given those (coarse) tags.
preTerminals(Tree) Trees
preTerminalYield() Tree
Gets the preterminal yield (i.e., tags) of the tree.
preTerminalYield(List<Label>) Tree
Gets the preterminal yield (i.e., tags) of the tree.
pretrainedEmbeddingsPath(Properties) NeuralCorefProperties
preTransformer TrainOptions
A transformer to use on the training data before any other
processing step.
prettify(String) AnnotationUtils
Prepare a string for printing in a spreadsheet for Mechanical Turk input.
pretty AnnotationOutputter.Options
If false, try to compress whitespace as much as possible.
prettyLog(Redwood.RedwoodChannels, String) ClassicCounter
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) IntCounter
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) ArrayCoreMap
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) PrettyLoggable
Pretty logs the current object to specific Redwood channels.
prettyLog(Object) Redwood.RedwoodChannels
PrettyLog an object using these channels.
prettyLog(String, Object) Redwood.RedwoodChannels
PrettyLog an object with a description using these channels.
prettyLog(Object) Redwood.Util
prettyLog(String, Object) Redwood.Util
prettyLog(Redwood.RedwoodChannels, String) Pair
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) Quadruple
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) Triple
Pretty logs the current object to specific Redwood channels.
PrettyLoggable edu.stanford.nlp.util.logging
Indicates that a class supports "pretty logging".
PrettyLogger edu.stanford.nlp.util.logging
Primarily for debugging, PrettyLogger helps you dump various collection
objects in a reasonably structured way via Redwood logging.
PRETTYPRINT HTKLatticeReader
prettyPrint(Annotation, OutputStream) StanfordCoreNLP
Displays the output of all annotators in a format easily readable by people.
prettyPrint(Annotation, PrintWriter) StanfordCoreNLP
Displays the output of all annotators in a format easily readable by people.
prettyPrint(Annotation, OutputStream, StanfordCoreNLP) TextOutputter
Static helper
prettyPrint(Annotation, PrintWriter, StanfordCoreNLP) TextOutputter
Static helper
prettyPrint(SemanticGraphFormatter) SemanticGraph
Pretty-prints this semantic graph to System.out, formatted by
the supplied semantic graph formatter.
prettyPrint() SemanticGraph
Pretty-prints this semantic graph to System.out, formatted by
the default semantic graph formatter.
prettyPrint(PrintWriter) SemgrexPattern
Print a multi-line representation of the pattern illustrating its syntax.
prettyPrint(PrintStream) SemgrexPattern
Print a multi-line representation of the pattern illustrating its syntax.
prettyPrint() SemgrexPattern
Print a multi-line representation of the pattern illustrating its syntax
to System.out.
prettyPrint() GeneralizedCounter
pretty-prints the GeneralizedCounter to
System.out.
prettyPrint(PrintWriter) GeneralizedCounter
pretty-prints the GeneralizedCounter, using a buffer increment of two spaces.
prettyPrint(PrintWriter, String) GeneralizedCounter
pretty-prints the GeneralizedCounter.
prettyPrint(PrintWriter) TregexPattern
Print a multi-line representation
of the pattern illustrating it's syntax.
prettyPrint(PrintStream) TregexPattern
Print a multi-line representation
of the pattern illustrating it's syntax.
prettyPrint() TregexPattern
Print a multi-line representation of the pattern illustrating
it's syntax to System.out.
prev() JollyDayHolidays.JollyHoliday
prev() SUTime.Temporal
PrevChildAnnotation() CoreAnnotations.PrevChildAnnotation
prevContext SurfacePattern
previous() Token
The previous token in the sentence.
PrimitiveValue(String, T, String...) Expressions.PrimitiveValue
print(PrintStream) NaiveBayesClassifier
print() NaiveBayesClassifier
print(String, String) EncodingPrintWriter.err
print(String) EncodingPrintWriter.err
print(String, String) EncodingPrintWriter.out
print(String) EncodingPrintWriter.out
print() Experiments
print(PrintFile) Experiments
print() Feature
Prints out the points where the feature is non-zero and the values
at these points.
print(PrintStream) Feature
print() Features
print() LambdaSolve
Print out p(y|x) for all pairs to the standard output.
print() Problem
print(String) Problem
print(Annotation, OutputStream, AnnotationOutputter.Options) AnnotationOutputter
print(Annotation, OutputStream) AnnotationOutputter
print(Annotation, OutputStream, StanfordCoreNLP) AnnotationOutputter
print(Annotation, AnnotationOutputter.Options) AnnotationOutputter
print(Annotation) AnnotationOutputter
print(Annotation, StanfordCoreNLP) AnnotationOutputter
print(Annotation, OutputStream, AnnotationOutputter.Options) CoNLLOutputter
Print an Annotation to an output stream.
print(Annotation, OutputStream, AnnotationOutputter.Options) CoNLLUOutputter
print(Annotation, OutputStream, AnnotationOutputter.Options) JSONOutputter print(Annotation, OutputStream, AnnotationOutputter.Options) TextOutputter print(Annotation, OutputStream, AnnotationOutputter.Options) XMLOutputter print(Collection<TypedDependency>, boolean, PrintWriter) TreePrint
USED BY TREEPRINT AND WSD.SUPWSD.PREPROCESS
Prints this set of typed dependencies to the specified
PrintWriter.
print(Collection<TypedDependency>, String, boolean, PrintWriter) TreePrint
USED BY TREEPRINT
Prints this set of typed dependencies to the specified
PrintWriter in the specified format.
print() IntTuple
print(Object[], String) JavaUtilLoggingHandler
print(Object[], String) OutputHandler
Print a string to an output without the trailing newline.
print(Object[], String) RedirectOutputHandler
print(Object[], String) Redwood.ConsoleHandler
Print a string to the console, without the trailing newline
print(Object[], String) Redwood.FileHandler
Print a string to an output without the trailing newline.
print(boolean) RedwoodPrintStream
print(char) RedwoodPrintStream
print(int) RedwoodPrintStream
print(long) RedwoodPrintStream
print(float) RedwoodPrintStream
print(double) RedwoodPrintStream
print(char[]) RedwoodPrintStream
print(String) RedwoodPrintStream
print(Object) RedwoodPrintStream
print(Object[], String) SLF4JHandler
PRINT_CONLL_OUTPUT Constants
if true, print in conll output format
PRINT_FUNCTION ValueFunctions
printableObject(double, String) ExtractionObject
Returns true if it's worth saving/printing this object
This happens in two cases:
1.
printableObject(double) RelationMention
printAllBestParses TestOptions
Print out all best PCFG parses.
printAllMatrices(PrintStream) DVModel
printAnnotatedPW TrainOptions
printAnnotatedRuleCounts TrainOptions
printAnnotatedStateCounts TrainOptions
printAnswers(List<CoreLabel>, PrintWriter) ArabicDocumentReaderAndWriter
printAnswers(List<CoreLabel>, PrintWriter) ColumnDocumentReaderAndWriter
printAnswers(List<IN>, PrintWriter) ColumnTabDocumentReaderWriter
printAnswers(List<CoreLabel>, PrintWriter) CoNLLDocumentReaderAndWriter
Write a standard CoNLL format output file.
printAnswers(List<IN>, PrintWriter) DocumentReaderAndWriter
This method prints the output of the classifier to a
PrintWriter.
printAnswers(List<IN>, PrintWriter) PlainTextDocumentReaderAndWriter
Print the classifications for the document to the given Writer.
printAnswers(List<IN>, PrintWriter, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) PlainTextDocumentReaderAndWriter
printAnswers(List<CoreLabel>, PrintWriter) TrueCasingForNISTDocumentReaderAndWriter
printAnswers(List<CoreLabel>, PrintWriter) Sighan2005DocumentReaderAndWriter
printArgs(String[], PrintStream) ArgUtils
printAttFsmFormat(Writer) DFSA
printBinarizedPW TrainOptions
printChannels(int) Redwood.Util
Print (to console) a margin with the channels of a given log message.
printClassifier SeqClassifierFlags
printClassifierParam SeqClassifierFlags
printCollocationStrings(PrintWriter) CollocationFinder
Prints the collocations found in this Tree as strings.
printConfusionMatrix(String, int[][]) AbstractEvaluate
printConLLLoadingMessage CoNLLDocumentReader.Options
printConllOutput(Document, boolean) CorefPrinter
printConllOutput(Document, boolean, boolean) CorefPrinter
printConllOutput(Document, List<List<Mention>>, boolean) CorefPrinter
printConllOutput(Document, PrintWriter, boolean) SieveCoreferenceSystem
printConllOutput(Document, PrintWriter, boolean, boolean) SieveCoreferenceSystem
printConstants(Logger) Constants
print the values of variables in this class
printCorefCluster() CorefCluster
Print cluster information
printCorefCluster(Logger) CorefCluster
Print cluster information
printCounter(TwoDimensionalCounter<String, String>, String) MWEPreprocessor
printCounterComparison(Counter<E>, Counter<E>) Counters
Great for debugging.
printCounterComparison(Counter<E>, Counter<E>, PrintStream) Counters
Great for debugging.
printCounterComparison(Counter<E>, Counter<E>, PrintWriter) Counters
Prints one or more lines (with a newline at the end) describing the
difference between the two Counters.
printCounterSortedByKeys(Counter<E>) Counters
printDependencies(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean, boolean) GrammaticalStructureConversionUtils
Print typed dependencies in either the Stanford dependency representation
or in the conllx format.
printEdges(Iterable<SemanticGraphEdge>) SemanticGraphUtils
Pretty printers
printErrorLog(Mention, Document, Counter<Integer>, int, Dictionaries, RFSieve) HybridCorefPrinter
printErrorLogDcoref(Mention, Mention, Document, Dictionaries, int, String) HybridCorefPrinter
printf(String, Object...) RedwoodPrintStream
printf(Locale, String, Object...) RedwoodPrintStream
printF1(Logger, boolean) CorefScorer
printF1(Logger) CorefScorer
printF1(boolean) SieveCoreferenceSystem
printFactoredKGood TestOptions
Printing k-best parses from PCFG, when k > 0.
printFactorTable(String, DocumentReaderAndWriter<IN>) CRFClassifier
Takes the file, reads it in, and prints out the factor table at each position.
printFactorTable SeqClassifierFlags
printFactorTableDocument(List<IN>) CRFClassifier
Takes a
List of something that extends
CoreMap and prints
the factor table at each point.
printFactorTableDocuments(ObjectBank<List<IN>>) CRFClassifier
Takes a
List of documents and prints the factor table
at each point.
printFeatureLists(IN, Collection<List<String>>) AbstractSequenceClassifier
Print the String features generated from a token.
printFeatures(IN, Collection<String>) AbstractSequenceClassifier
Print the String features generated from a IN
printFeatures() CRFClassifier
printFeatures(String, int[][][][], int[][]) CRFFeatureExporter
Output features that have already been converted into features
(using documentToDataAndLabels) in format suitable for CRFSuite.
printFeatures(String, Collection<List<IN>>) CRFFeatureExporter
Output features from a collection of documents to a file
Format is with one line per token using the following format
word label feat1 feat2 ...
printFeatures SeqClassifierFlags
printFeaturesUpto SeqClassifierFlags
PrintFile edu.stanford.nlp.io
Shorthand class for opening an output file for human-readable output.
PrintFile(String) PrintFile
PrintFile(File) PrintFile
printFileNames() DiskTreebank
printFinalConllScore(String) CorefScorer
printFirstOrderProbs(String, DocumentReaderAndWriter<IN>) CRFClassifier
Takes the file, reads it in, and prints out the likelihood of each possible
label at each point.
printFirstOrderProbs SeqClassifierFlags
printFirstOrderProbsDocument(List<IN>) CRFClassifier
Takes a
List of something that extends
CoreMap and prints
the likelihood of each possible label at each point.
printFirstOrderProbsDocuments(ObjectBank<List<IN>>) CRFClassifier
Takes a
List of documents and prints the likelihood of each
possible label at each point.
printFooter(PrintWriter) TreePrint
printFullFeatureMatrix(PrintWriter) Dataset
prints the full feature matrix in tab-delimited form.
printFullFeatureMatrix(PrintWriter) RVFDataset
prints the full feature matrix in tab-delimited form.
printFullFeatureMatrixWithValues(PrintWriter) RVFDataset
Modification of printFullFeatureMatrix to correct bugs and print values
(Rajat).
printGazFeatures SeqClassifierFlags
printHeader(PrintWriter, String) TreePrint
printHelp(PrintStream, String) StanfordCoreNLP
Prints the list of properties required to run the pipeline
printLabelInformation(String, DocumentReaderAndWriter<IN>) CRFClassifier
printLabelValue(List<IN>) CRFClassifier
printLabelValue SeqClassifierFlags
printLattice(DFSA<T, S>, List<IN>, PrintWriter) LatticeWriter
This method prints the output lattice (typically, Viterbi search graph) of
the classifier to a
PrintWriter.
printLattice(DFSA<String, Integer>, List<CoreLabel>, PrintWriter) Sighan2005DocumentReaderAndWriter
printLengthAccuracies() AbstractEvaluate
printLengthAccuracies RNNTestOptions
printLexStats() BaseLexicon
Print some statistics about this lexicon.
printList(Logger, String...) SieveCoreferenceSystem
println(String, String) EncodingPrintWriter.err
println(String) EncodingPrintWriter.err
println(String, String) EncodingPrintWriter.out
println(String) EncodingPrintWriter.out
Print the argument plus a NEWLINE in UTF-8, regardless of
the platform default.
println(Object) Redwood.Util
println(boolean) RedwoodPrintStream
println(char) RedwoodPrintStream
println(int) RedwoodPrintStream
println(long) RedwoodPrintStream
println(float) RedwoodPrintStream
println(double) RedwoodPrintStream
println(char[]) RedwoodPrintStream
println(String) RedwoodPrintStream
println(Object) RedwoodPrintStream
println() RedwoodPrintStream
printLocalTree() Tree
printLocalTree(PrintWriter) Tree
Only prints the local tree structure, does not recurse
printMatchedGraphsForPattern(String, int) ExtractPhraseFromPattern
printMatrixNames(PrintStream) DVModel
printMatrixStats(PrintStream) DVModel
printMDLog(Properties) HybridCorefProperties
printMentionDetection() Document
printMentionDetectionLog(Document) HybridCorefPrinter
printMinMax SMDMinimizer
printNode(OutputStream, Node, boolean, boolean) XMLUtils
printNR SeqClassifierFlags
printOnlyRelation SemanticGraphEdge
printOutOfMemory(PrintWriter) ParserUtils
printParameters() Config
printParameterType(int, PrintStream) DVModel
Prints to stdout the type and key for the given location in the parameter stack
printParamInformation(int) SentimentModel
printPCFGkBest TestOptions
Printing k-best parses from PCFG, when k > 0.
printPOSAnnotations(CoreMap) CoNLLUDocumentWriter
Outputs a partial CONLL-U file with token information (form, lemma, POS)
but without any dependency information.
printProbs(String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Takes the file, reads it in, and prints out the likelihood of each possible
label at each point.
printProbs(Collection<File>, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Takes the files, reads them in, and prints out the likelihood of each possible
label at each point.
printProbs SeqClassifierFlags
printProbsDocument(List<IN>) AbstractSequenceClassifier
printProbsDocument(List<IN>) CRFClassifier
Takes a
List of something that extends
CoreMap and prints
the likelihood of each possible label at each point.
printProbsDocument(List<IN>) CMMClassifier
Takes a
List of
CoreLabels and prints the likelihood
of each possible label at each point.
printProbsDocuments(ObjectBank<List<IN>>) AbstractSequenceClassifier
Takes a
List of documents and prints the likelihood of each
possible label at each point.
printProperties(String, Properties, PrintStream) PropertiesUtils
printProperties(String, Properties) PropertiesUtils
printRawDoc(Document, boolean, boolean) HybridCorefPrinter
Print raw document for analysis
printReasonForChoosing(Counter<CandidatePhrase>) PhraseScorer
printReasonForChoosing(Counter<CandidatePhrase>) ScorePhrasesAverageFeatures
printResults(Counter<String>, Counter<String>, Counter<String>) AbstractSequenceClassifier
Given counters of true positives, false positives, and false
negatives, prints out precision, recall, and f1 for each key.
printResults(PrintWriter, List<CoreMap>, List<CoreMap>) RelationExtractorResultsPrinter
printResults(CoreMap, CoreMap) ResultsPrinter
Given a set of sentences with annotations from an information extractor class, and the same sentences
with gold-standard annotations, print results on how the information extraction performed.
printResults(List<String>, List<String>) ResultsPrinter
printResults(PrintWriter, List<CoreMap>, List<CoreMap>) ResultsPrinter
printResultsUsingLabels(PrintWriter, List<String>, List<String>) RelationExtractorResultsPrinter
printResultsUsingLabels(PrintWriter, List<String>, List<String>) ResultsPrinter
printRuleCounts() TreeAnnotatorAndBinarizer
printSamples(List, PrintStream) SequenceGibbsSampler
printScoredTrees(Iterable<List<ScoredObject<Tree>>>, String) CharniakScoredParsesReaderWriter
Print scored parse trees in format used by charniak parser
printScoredTrees(PrintWriter, int, List<ScoredObject<Tree>>) CharniakScoredParsesReaderWriter
Print scored parse trees for one sentence in format used by Charniak parser.
printScoreSummary(String, Logger, boolean) CorefScorer
printSemanticGraph(SemanticGraph) CoNLLUDocumentWriter
printSemanticGraph(SemanticGraph, boolean) CoNLLUDocumentWriter
printSent() History
printSentence(List<? extends HasWord>, String) CharniakParser
printSentences(Iterable<List<? extends HasWord>>, String) CharniakParser
printSingletons AnnotationOutputter.Options
If false, will print only non-singleton entities
printSparseFeatureMatrix() Dataset
printSparseFeatureMatrix(PrintWriter) Dataset
prints a sparse feature matrix representation of the Dataset.
printSparseFeatureMatrix() GeneralDataset
printSparseFeatureMatrix(PrintWriter) GeneralDataset
prints a sparse feature matrix representation of the Dataset.
printSparseFeatureMatrix() RVFDataset
printSparseFeatureMatrix(PrintWriter) RVFDataset
Prints a sparse feature matrix representation of the Dataset.
printSparseFeatureValues(PrintWriter) RVFDataset
Prints a sparse feature-value output of the Dataset.
printSparseFeatureValues(int, PrintWriter) RVFDataset
Prints a sparse feature-value output of the Dataset.
printState(BasicDocument<L>) BasicDocument
For internal debugging purposes only.
printStateCounts() TreeAnnotatorAndBinarizer
printStates TrainOptions
printStats() ParentAnnotationStats
printStats() SisterAnnotationStats
printStats(PrintStream) CacheMap
Print out cache stats to the specified stream.
printStringOneCharPerLine(String) StringUtils
printSubGraph(SemanticGraph, IndexedWord, List<String>, List<String>, Collection<String>, Collection<IntPair>, List<IndexedWord>, List<IndexedWord>, boolean, Collection<ExtractedPhrase>, SemgrexPattern, Predicate<CoreLabel>) ExtractPhraseFromPattern
printSummary() AbstractEvaluate
printSVMLightFormat(PrintWriter, ClassicCounter<Integer>, int) Dataset
Need to sort the counter by feature keys and dump it
printSVMLightFormat() GeneralDataset
Dumps the Dataset as a training/test file for SVMLight.
printSVMLightFormat(PrintWriter) GeneralDataset
Print SVM Light Format file.
printTable() ConfusionMatrix
Prints the current confusion in table form to a string, with contingency
printToFile(File, String, boolean, boolean, String) StringUtils
Prints to a file.
printToFile(File, String, boolean) StringUtils
Prints to a file.
printToFile(File, String) StringUtils
Prints to a file.
printToFile(String, String, boolean) StringUtils
Prints to a file.
printToFile(String, String) StringUtils
Prints to a file.
printToFileLn(File, String, boolean) StringUtils
Prints to a file.
printToFileLn(String, String, boolean) StringUtils
Prints to a file.
printTopK(Logger, Document, Semantics) SieveCoreferenceSystem
Print logs for error analysis
printTrainLabels SeqClassifierFlags
printTrainTree(PrintWriter, String, Tree) TrainOptions
printTree(Tree) TreePrint
Prints the tree to the default PrintWriter.
printTree(Tree, PrintWriter) TreePrint
Prints the tree, with an empty ID.
printTree(Tree, String, PrintWriter) TreePrint
Prints the tree according to the options specified for this instance.
printTrees(List<ScoredObject<Tree>>, String, PrintWriter) TreePrint
Prints the trees according to the options specified for this instance.
printTreeStats(String, List<DependencyTree>) Util
printTreeStats(List<DependencyTree>) Util
printTreeTransformations TrainOptions
Just for debugging: check that your tree transforms work correctly.
printTrieAsRules(DFSA<T, S>, Writer) DFSA
printTrieDFSA(DFSA<T, S>) DFSA
PrintVerticeParams() SemanticGraphUtils.PrintVerticeParams
printVertices(SemanticGraph) SemanticGraphUtils
printVertices(SemanticGraph, SemanticGraphUtils.PrintVerticeParams) SemanticGraphUtils
printWeights SeqClassifierFlags
printWeightVector() SimpleLinearClassifier
printWeightVector(PrintWriter) SimpleLinearClassifier
printWords() HTKLatticeReader
printWordTag CategoryWordTag
If this is false, the tag and word are never printed in toString()
calls.
printXML SeqClassifierFlags
prior BiasedLogConditionalObjectiveFunction
prior LogConditionalObjectiveFunction
prior CRFLogConditionalObjectiveFloatFunction
prior CRFLogConditionalObjectiveFunction
prior CRFNonLinearLogConditionalObjectiveFunction
prior CRFNonLinearSecondOrderLogConditionalObjectiveFunction
priorAlpha SeqClassifierFlags
PriorAnnotation() CoreAnnotations.PriorAnnotation
priorDerivative LogConditionalObjectiveFunction
The only reason this is around is because the Prior Functions don't handle stochastic calculations yet.
priority() BasicSequenceMatchResult
priority MatchedExpression.SingleAnnotationExtractor
priority() SequenceMatchResult
priority SequenceMatchRules.AnnotationExtractRule
Priority in which this rule should be applied with respect to others
PRIORITY_COMPARATOR SequenceMatchResult
PRIORITY_FIELD TokensRegexNERAnnotator
PRIORITY_SCORE_LENGTH_ORDER_OFFSET_COMPARATOR SequenceMatchResult
Compares two match results.
PriorityQueue E > - Interface in edu.stanford.nlp.util
A Set that also represents an ordering of its elements, and responds
quickly to add(), changePriority(),
removeFirst(), and getFirst() method calls.
priorLambda SeqClassifierFlags
PriorModelFactory IN extends CoreMap > - Interface in edu.stanford.nlp.ie
priorModelFactory SeqClassifierFlags
A class name for a factory that vends a prior NER model that
implements both SequenceModel and SequenceListener, and which
is used in the Gibbs sampling sequence model inference.
priorProbability KBPRelationExtractor.RelationType
The prior for how often this relation occurs in the training data.
priors(double[]) LogConditionalEqConstraintFunction
priorType SeqClassifierFlags
PRIVATIVE_ADJECTIVES Util
The dictionary of privative adjectives, as per http://hci.stanford.edu/cstr/reports/2014-04.pdf
PRN_MODIFIER ChineseGrammaticalRelations
The "parenthetical modifier" grammatical relation.
prob(int, int) CRFCliqueTree
prob(int, E) CRFCliqueTree
prob(int, int[]) CRFCliqueTree
Returns the probability for the given labels (indexed using classIndex),
where the last label corresponds to the label at the specified position.
prob(int, E[]) CRFCliqueTree
returns the probability for the given labels, where the last label
corresponds to the label at the specified position.
prob(int[]) FactorTable
prob(int[]) FloatFactorTable
ProbabilisticClassifier L ,F > - Interface in edu.stanford.nlp.classify
ProbabilisticClassifierCreator L ,F > - Interface in edu.stanford.nlp.classify
Creates a probablic classifier with given weights
ProbabilityDistribution E > - Interface in edu.stanford.nlp.stats
This is an interface for probability measures, which will allow
samples to be drawn and the probability of objects computed.
probabilityOf(Datum<L, F>) LinearClassifier
Returns a counter mapping from each class name to the probability of
that class for a certain example.
probabilityOf(RVFDatum<L, F>) LinearClassifier
Deprecated.
probabilityOf(int[]) LinearClassifier
probabilityOf(Datum<L, F>) LogisticClassifier
probabilityOf(Collection<F>, L) LogisticClassifier
probabilityOf(RVFDatum<L, F>) LogisticClassifier
probabilityOf(Counter<F>, L) LogisticClassifier
probabilityOf(Datum<L, F>) ProbabilisticClassifier
probabilityOf(Mention, Set<Mention>, Set<String>, Dictionaries, Properties) MentionDetectionClassifier
probabilityOf(Datum<String, String>) BasicRelationExtractor
probabilityOf(E) Distribution
Returns the normalized count of the given object.
probabilityOf(E) ProbabilityDistribution
probabilityOfTrue(RVFDatum<Boolean, String>) DecisionTree
probabilityOfTrue(Counter<String>) DecisionTree
probabilityOfTrue(RVFDatum<Boolean, String>) RandomForest
probabilityOfTrue(Counter<String>) RandomForest
probConds LambdaSolve
Conditional probabilities.
Problem edu.stanford.nlp.maxent
This is a general class for a Problem to be solved by the MaxEnt toolkit.
Problem(Experiments, Features) Problem
Problem() Problem
probs(int) CRFCliqueTree
probs(int, int) CRFCliqueTree
probsToDoubleArr(int) CRFCliqueTree
probTB(IntDependency) MLEDependencyGrammar
Calculate the probability of a dependency as a real probability between
0 and 1 inclusive.
process(int, Document) CorefDocumentProcessor
process(Dictionaries, Semantics) Mention
Set attributes of a mention:
head string, mention type, NER label, Number, Gender, Animacy
process(Dictionaries, Semantics, LogisticClassifier<String, String>) Mention
process(CoNLLDocumentReader.CoNLLDocument) CoNLLDocumentReader.CorpusStats
process(int, Document) DatasetBuilder
process(int, Document) FeatureExtractorRunner
process(int, Document) MetadataWriter
process(CoNLL2011DocumentReader.Document) CoNLL2011DocumentReader.CorpusStats
process(Dictionaries, Semantics, MentionExtractor) Mention
Set attributes of a mention:
head string, mention type, NER label, Number, Gender, Animacy
process(Dictionaries, Semantics, MentionExtractor, LogisticClassifier<String, String>) Mention
process(String) ArabicSegmenter
process() AnCoraProcessor
process(List<? extends HasWord>) ParsingThreadsafeProcessor
process(List<? extends HasWord>) DVModelReranker
process(List<? extends HasWord>) Reranker
process(List<CoreLabel>) CleanXmlAnnotator
process(CoreMap) SentenceAnnotator.AnnotatorProcessor
process(String) StanfordCoreNLP
Runs the entire pipeline on the content of the given text passed in.
process(String) StanfordCoreNLPClient
Runs the entire pipeline on the content of the given text passed in.
process(List<? extends IN>) ListProcessor
Take a List (including a Sentence) of input, and return a
List that has been processed in some way.
process(List<? extends IN>) PTBEscapingProcessor
process(List<? extends Word>) StripTagsProcessor
Returns a new Document with the same meta-data as in ,
and the same words except tags are stripped.
process(List<? extends IN>) WordToSentenceProcessor
Returns a List of Lists where each element is built from a run
of Words in the input Document.
process(List<? extends IN>) WordToTaggedWordProcessor
Returns a new Document where each Word with a tag has been converted
to a TaggedWord.
process(List<? extends List<? extends HasWord>>) MaxentTagger
Tags the Words in each Sentence in the given List with their
grammatical part-of-speech.
process(File, TreeReader, Pattern, Pattern, boolean) SpanishXMLTreeReader
Read trees from the given file and output their processed forms to
standard output.
process(I) ThreadsafeProcessor
Set the input item that will be processed when a thread is allocated to
this processor.
processArc(TransducerGraph.Arc) TransducerGraph.ArcProcessor
Modifies Arc a.
processArc(TransducerGraph.Arc) TransducerGraph.InputSplittingProcessor
processArc(TransducerGraph.Arc) TransducerGraph.NodeProcessorWrappingArcProcessor
processArc(TransducerGraph.Arc) TransducerGraph.OutputCombiningProcessor
processCoreNLPIfDoesNotExist(File, Properties, String) XMLToAnnotation
processCp1252misc(String) LexerUtils
processDiscourse(Document, Dictionaries) DocumentPreprocessor
Process discourse information
processDiscourse(Dictionaries) Document
Process discourse information
processDocument(Document<L, F, IN>) AbstractListProcessor
processDocument(Document<L, F, IN>) DocumentProcessor
Converts a Document to a different Document, by transforming
or filtering the original Document.
processDocument(Document<L, F, IN>) WordToSentenceProcessor
processDocument(List<IN>) ObjectBankWrapper
processedDataFreq Data
processEdge(Edge) BiLexPCFGParser
ProcessedTextAnnotation() PatternsAnnotations.ProcessedTextAnnotation
ProcessException(String) SystemUtils.ProcessException
ProcessException(Throwable) SystemUtils.ProcessException
processFile(File) MemoryTreebank
Load a collection of parse trees from the file of given name.
processFile(File) FileProcessor
Apply this predicate to a File.
processFiles(String, Collection<File>, int, boolean, Optional<Timing>) StanfordCoreNLP
Process a collection of files.
processFiles(String, Collection<File>, int, Properties, BiConsumer<Annotation, Consumer<Annotation>>, BiConsumer<Annotation, OutputStream>, StanfordCoreNLP.OutputFormat, boolean) StanfordCoreNLP
processFiles(String, Collection<File>, int, Properties, BiConsumer<Annotation, Consumer<Annotation>>, BiConsumer<Annotation, OutputStream>, StanfordCoreNLP.OutputFormat, boolean, Optional<StanfordCoreNLP>, Optional<Timing>) StanfordCoreNLP
processFiles(Collection<File>, int, boolean, Optional<Timing>) StanfordCoreNLP
processFiles(Collection<File>, boolean, Optional<Timing>) StanfordCoreNLP
processGraph(TransducerGraph) QuasiDeterminizer
processGraph(TransducerGraph) TransducerGraph.GraphProcessor
processGraph(TransducerGraph) TransducerGraph.NormalizingGraphProcessor
processHeadWord(Label) AbstractTreebankParserParams
processHeadWord(Label) TreebankLangParserParams
Allows language specific processing (e.g., stemming) of head words.
processHook(Hook) BiLexPCFGParser
processItem(Item) BiLexPCFGParser
processLattice() HTKLatticeReader
processLists(List<List<IN>>) AbstractListProcessor
Process a list of lists of tokens.
processMultiWordPrepositions EnhancementOptions
processNode(Object) TransducerGraph.NodeProcessor
processNode(Object) TransducerGraph.ObjectToSetNodeProcessor
processNode(Object) TransducerGraph.SetToStringNodeProcessor
processor GenericDataSetReader
NL processor to use for sentence pre-processing
ProcessOutputStream(String[]) SystemUtils.ProcessOutputStream
ProcessOutputStream(String[], Writer) SystemUtils.ProcessOutputStream
ProcessOutputStream(String[], Writer, Writer) SystemUtils.ProcessOutputStream
ProcessOutputStream(ProcessBuilder, Writer, Writer) SystemUtils.ProcessOutputStream
processPath(String, String, boolean, FileProcessor) FilePathProcessor
Apply a method to the files under a given directory and
perhaps its subdirectories.
processPath(File, String, boolean, FileProcessor) FilePathProcessor
Apply a method to the files under a given directory and
perhaps its subdirectories.
processPath(File, FileFilter, FileProcessor) FilePathProcessor
Apply a function to the files under a given directory and
perhaps its subdirectories.
processPattern(TregexPattern, TsurgeonPattern, Tree) Tsurgeon
Tries to match a pattern against a tree.
processPatternOnTrees(TregexPattern, TsurgeonPattern, Collection<Tree>) Tsurgeon
Applies {#processPattern} to a collection of trees.
processPatternsOnTree(List<Pair<TregexPattern, TsurgeonPattern>>, Tree) Tsurgeon
processPreterminal(Tree) ATBArabicDataset.ArabicRawTreeNormalizer
processRequest(Socket) LexicalizedParserServer
Possible commands are of the form:
processResults(ParserQuery, Tree, PrintWriter, PrintWriter, PrintWriter, PrintWriter, TreePrint) EvaluateTreebank
processResults(ParserQuery, int, PrintWriter) ParseFiles
processSentenceForType(SemanticGraph, List<SemgrexPattern>, List<String>, Collection<String>, Collection<IntPair>, Collection<IndexedWord>, boolean, Collection<ExtractedPhrase>, boolean) ExtractPhraseFromPattern
processSents(Map<String, DataInstance>, Boolean) GetPatternsFromDataMultiClass
processSents(Properties, Set<String>) GetPatternsFromDataMultiClass
processTempEval2(AnnotationPipeline, String, String, String, String) SUTimeMain
processTempEval2Tab(AnnotationPipeline, String, String, Map<String, String>) SUTimeMain
processTempEval3(AnnotationPipeline, String, String, String) SUTimeMain
processTempEval3File(AnnotationPipeline, String, String) SUTimeMain
processText(String) TransformXML.NoEscapingSAXInterface
processText(String) TransformXML.SAXInterface
processText(AnnotationPipeline, String, String, String) SUTimeMain
processTextFile(AnnotationPipeline, String, String, String) SUTimeMain
processTimebankCsv(AnnotationPipeline, String, String, String) SUTimeMain
processTreeHelper(String, String, Tree) ParentAnnotationStats
product(Counter<E>, Counter<E>) Counters
Returns the product of c1 and c2.
project(String) BasicCategoryTagProjection
project(int) BiLexPCFGParser
project(int) FastFactoredParser
project(int) GrammarProjection
project(String) TagProjection
Project more split dependency space onto less split space.
project(String) TestTagProjection
PROJECTALTERNATION_FIELD_NUMBER CoreNLPProtos.Polarity
PROJECTCOVER_FIELD_NUMBER CoreNLPProtos.Polarity
PROJECTEQUIVALENCE_FIELD_NUMBER CoreNLPProtos.Polarity
PROJECTFORWARDENTAILMENT_FIELD_NUMBER CoreNLPProtos.Polarity
projectHooks(Edge) BiLexPCFGParser
PROJECTINDEPENDENCE_FIELD_NUMBER CoreNLPProtos.Polarity
projection BiLexPCFGParser
projection FastFactoredParser
projectLexicalRelation(NaturalLogicRelation) Polarity
Project the given natural logic lexical relation on this word.
PROJECTNEGATION_FIELD_NUMBER CoreNLPProtos.Polarity
projectNode(Object) FastExactAutomatonMinimizer
PROJECTREVERSEENTAILMENT_FIELD_NUMBER CoreNLPProtos.Polarity
projectUnaries(Edge) BiLexPCFGParser
promptUserInput(Optional<String>) IOUtils
Create a prompt, and read a single line of response.
PRONOUN Sieve
pronounCorefMap Sieve
PronounMatch edu.stanford.nlp.coref.hybrid.sieve
PronounMatch() PronounMatch
PronounMatch edu.stanford.nlp.dcoref.sievepasses
PronounMatch() PronounMatch
pronunciation HTKLatticeReader.LatticeWord
propagateDependents EnhancementOptions
propagateRecord(Redwood.Record) BooleanLogRecordHandler
Given a record, return true if it should be propagated to later handlers.
propagateRecord(Redwood.Record) FilterHandler
PropertiesUtils edu.stanford.nlp.util
Utilities methods for standard (but woeful) Java Properties objects.
PropertiesUtils.Property edu.stanford.nlp.util
Property(String, String, String) PropertiesUtils.Property
propertyChange(PropertyChangeEvent) TregexGUI.TransferActionListener
propFileToLinkedHashMap(String, Map<String, String>) StringUtils
This method reads in properties listed in a file in the format prop=value,
one property per line.
propFileToProperties(String) StringUtils
This method reads in properties listed in a file in the format prop=value, one property per line.
props HybridCorefSystem
props Sieve
props ScorePatterns
props StanfordCoreNLPServer.FinishedRequest
props SeqClassifierFlags
ProtoAnnotation() CoreAnnotations.ProtoAnnotation
ProtobufAnnotationSerializer edu.stanford.nlp.pipeline
A serializer using Google's protocol buffer format.
ProtobufAnnotationSerializer() ProtobufAnnotationSerializer
Create a new Annotation serializer outputting to a protocol buffer format.
ProtobufAnnotationSerializer(boolean) ProtobufAnnotationSerializer
Create a new Annotation serializer outputting to a protocol buffer format.
ProtobufAnnotationSerializer.LossySerializationException edu.stanford.nlp.pipeline
An exception to denote that the serialization would be lossy.
PROX_CLASSES AceToken
Map of all proximity classes
prune(Tree) NodePruner
prune(Predicate<Tree>) Tree
Creates a deep copy of the tree, where all nodes that the filter
does not accept and all children of such nodes are pruned.
prune(Predicate<Tree>, TreeFactory) Tree
Creates a deep copy of the tree, where all nodes that the filter
does not accept and all children of such nodes are pruned.
pruneNodeFeatureIndices(int, int) CRFClassifier
prunePunc TestOptions
pruneTW(IntTaggedWord) MLEDependencyGrammar
pseudoPosition() IndexedWord
In most cases, this is just the index of the word.
ptb2Text(String) PTBTokenizer
Returns a presentable version of the given PTB-tokenized text.
ptb2Text(Reader, Writer) PTBTokenizer
Writes a presentable version of the given PTB-tokenized text.
ptb2Text(List<String>) PTBTokenizer
Returns a presentable version of the given PTB-tokenized words.
PTBEscapingProcessor IN extends HasWord ,L ,F > - Class in edu.stanford.nlp.process
Produces a new Document of Words in which special characters of the PTB
have been properly escaped.
PTBEscapingProcessor() PTBEscapingProcessor
PTBEscapingProcessor(boolean) PTBEscapingProcessor
PTBEscapingProcessor(char[], String[], char[], String[], boolean) PTBEscapingProcessor
ptbToken2Text(String) PTBTokenizer
Returns a presentable version of a given PTB token.
PTBTokenizer T extends HasWord > - Class in edu.stanford.nlp.process
A fast, rule-based tokenizer implementation, which produces Penn Treebank
style tokenization of English text.
PTBTokenizer(Reader, LexedTokenFactory<T>, String) PTBTokenizer
Constructs a new PTBTokenizer with a custom LexedTokenFactory.
PTBTokenizer.PTBTokenizerFactory T extends HasWord > - Class in edu.stanford.nlp.process
This class provides a factory which will vend instances of PTBTokenizer
which wrap a provided Reader.
ptilde() Experiments
ptilde(int) Experiments
When we want a pre-given number of classes.
ptildeX(int) Experiments
ptildeXY(int, int) Experiments
ptildeY(int) Experiments
publish(LogRecord) JavaUtilLoggingAdaptor.RedwoodHandler
Convert a java.util.logging call to its equivalent Redwood logging call.
PUNC RobustTokenizer
puncFilter GrammaticalStructure
puncTag ATBTreeUtils
PunctEquivalenceClasser edu.stanford.nlp.parser.tools
Performs equivalence classing of punctuation per PTB guidelines.
PunctEquivalenceClasser() PunctEquivalenceClasser
punctuation SupervisedSieveTraining
PUNCTUATION EnglishGrammaticalRelations
The "punctuation" grammatical relation.
PUNCTUATION ChineseGrammaticalRelations
The "punctuation" grammatical relation.
PUNCTUATION UniversalChineseGrammaticalRelations
The "punctuation" grammatical relation.
PUNCTUATION UniversalEnglishGrammaticalRelations
The "punctuation" grammatical relation.
punctuationForFeatures SupervisedSieveTraining
punctuationTagAcceptFilter() AbstractTreebankLanguagePack
Return a filter that accepts a String that is a punctuation
tag name, and rejects everything else.
punctuationTagAcceptFilter() TreebankLanguagePack
Return a filter that accepts a String that is a punctuation
tag name, and rejects everything else.
punctuationTagRejectFilter() AbstractTreebankLanguagePack
Return a filter that rejects a String that is a punctuation
tag name, and rejects everything else.
punctuationTagRejectFilter() TreebankLanguagePack
Return a filter that rejects a String that is a punctuation
tag name, and accepts everything else.
punctuationTags() AbstractTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() ArabicTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() FrenchTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() HebrewTreebankLanguagePack
punctuationTags() NegraPennLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() ChineseTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() SpanishTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() TueBaDZLanguagePack
punctuationTags() PennTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() TreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationWordAcceptFilter() AbstractTreebankLanguagePack
Returns a filter that accepts a String that is a punctuation
word, and rejects everything else.
punctuationWordAcceptFilter() TreebankLanguagePack
Returns a filter that accepts a String that is a punctuation
word, and rejects everything else.
punctuationWordRejectFilter() AbstractTreebankLanguagePack
Returns a filter that accepts a String that is not a punctuation
word, and rejects punctuation.
punctuationWordRejectFilter() TreebankLanguagePack
Returns a filter that accepts a String that is not a punctuation
word, and rejects punctuation.
punctuationWords() AbstractTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() ArabicTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() FrenchTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() HebrewTreebankLanguagePack
punctuationWords() NegraPennLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() ChineseTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() SpanishTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() TueBaDZLanguagePack
punctuationWords() PennTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() TreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
purgeDatasets SeqClassifierFlags
purgeFeatures SeqClassifierFlags
purgeRules() UnaryGrammar
Remove A -> A UnaryRules from bestRulesUnderMax.
push(String, Object) Env
push(T) TreeShapedStack
Returns a new node with the new data attached.
pushBack(int) Lexer
Pushes back length character positions in the
lexer.
pushBack(int) NegraPennLexer
pushDir SeqClassifierFlags
pushLambdas(TransducerGraph, ClassicCounter) QuasiDeterminizer
Takes time linear in number of arcs.
pushNode(Node) JJTTsurgeonParserState
put(K, V) BoundedCostOrderedMap
put(Iterable<K>, V) TrieMap
put(K[], V) TrieMap
put(K, V) ArrayMap
put(K, V) CacheMap
Add the entry to the map, and dump the map to a file if it's been a while
since we last did.
put(K, Collection<V>) CollectionValuedMap
Replaces current Collection mapped to key with the specified Collection.
put(I) MulticoreWrapper
Allocate instance to a process and return.
put(K, V) DeltaMap
This may cost twice what it would in the original Map because we have to find
the original value for this key.
put(K1, K2, K3, V) ThreeDimensionalMap
put(K1, K2, V) TwoDimensionalMap
put(K1) TwoDimensionalMap
putAll(Map<? extends K, ? extends V>) BoundedCostOrderedMap
putAll(Map<? extends Iterable<K>, ? extends V>) TrieMap
putAll(Map<? extends K, ? extends Collection<V>>) CollectionValuedMap
Unsupported.
putAll(Map<K1, CollectionValuedMap<K2, V>>) TwoDimensionalCollectionValuedMap
putChildTrie(Iterable<K>, TrieMap<K, V>) TrieMap
putIntoValueArrayList(Map<K, List<V>>, K, V) Maps
Adds the value to the ArrayList given by map.get(key), creating a new ArrayList if needed.
putIntoValueCollection(Map<K, C>, K, V, CollectionFactory<V>) Maps
Adds the value to the collection given by map.get(key).
putIntoValueHashSet(Map<K, Set<V>>, K, V) Maps
Adds the value to the HashSet given by map.get(key), creating a new HashMap if needed.
putSpacesAroundTargetString(String, String) MultiWordStringMatcher
Finds target string in text and put spaces around it so it will be matched with we match against tokens.
putSpi(String, String) DisabledPreferences
pw() AbstractTreebankParserParams
The PrintWriter used to print output.
pw(OutputStream) AbstractTreebankParserParams
The PrintWriter used to print output.
pw() TreebankLangParserParams
returns a PrintWriter used to print output.
pw(OutputStream) TreebankLangParserParams
returns a PrintWriter used to print output to the OutputStream
o.
px Experiments
px[x] holds the number of times the history x appeared in training data
pxy Experiments
pxy[x][y]=# times (x,y) occurred in training
py Experiments
py[y] holds the number of times the outcome y appeared in training data
PYTHON SUTimeMain
pythonMod(int, int) SloppyMath
Returns a mod where the sign of the answer is the same as the sign of the second
argument.
r MemoryMonitor
RadicalMap edu.stanford.nlp.trees.international.pennchinese
A way to determine the primary (or "semantic") radical of a Chinese character or get the set of
characters with a given semantic radical.
rand CRFLogConditionalObjectiveFunction
randGenerator AbstractStochasticCachingDiffFunction
random(int, int, int, double, double, Random) SimpleTensor
Returns a randomly initialized tensor with values draft from the
uniform distribution between minValue and maxValue.
RandomFilter() Filters.RandomFilter
RandomFilter(double) Filters.RandomFilter
RandomFilter(double, Random) Filters.RandomFilter
RandomForest edu.stanford.nlp.coref.hybrid.rf
RandomForest(Index<String>, int) RandomForest
randomGaussian(int, int, Random) NeuralUtils
Returns a vector with random Gaussian values, mean 0, std 1
randomInitial() AbstractCachingDiffFunction
randomize(long) GeneralDataset
Randomizes the data array in place.
randomize(long) RVFDataset
Randomizes the data array in place.
randomize(long) WeightedDataset
Randomizes (shuffles) the data array in place.
randomizedRatio SeqClassifierFlags
randomLopFeatureSplit SeqClassifierFlags
randomLopWeights SeqClassifierFlags
randomSeed TrainOptions
randomSeed RNNOptions
The random seed the random number generator is initialized with.
randomWordVectors RNNOptions
By default, initialize random word vectors instead of reading
from a file
range(String) RobustTokenizer
any in the set
range(int, int) ArrayMath
Generate a range of integers from start (inclusive) to end (exclusive).
Range(SUTime.Time, SUTime.Time) SUTime.Range
Range(SUTime.Time, SUTime.Time, SUTime.Duration) SUTime.Range
Range(SUTime.Time, SUTime.Duration) SUTime.Range
Range(SUTime.Range, SUTime.Time, SUTime.Time, SUTime.Duration) SUTime.Range
range() Timex
Range(String, String, String) Timex.Range
RANGE ChineseGrammaticalRelations
The "range" grammatical relation.
RANGE UniversalChineseGrammaticalRelations
The "range" grammatical relation (Chinese only).
RANGE_EXPAND_FIX_BEGIN SUTime
RANGE_EXPAND_FIX_END SUTime
RANGE_FLAGS_PAD_AUTO SUTime
Automatic range (whatever padding we think is most appropriate, default)
RANGE_FLAGS_PAD_FINEST SUTime
Pad to most specific (whatever that is)
RANGE_FLAGS_PAD_MASK SUTime
Flags for how to pad when converting times into ranges
RANGE_FLAGS_PAD_NONE SUTime
Simple range (without padding)
RANGE_FLAGS_PAD_SPECIFIED SUTime
Pad to specified granularity
RANGE_OFFSET_BEGIN SUTime
RANGE_OFFSET_END SUTime
RANGE_RESOLVE_TIME_REF SUTime
rangeContains(Pair<Integer, Integer>, Pair<Integer, Integer>) ExtractQuotesUtil
rangeContains(Pair<Integer, Integer>, Pair<Integer, Integer>) QuoteAttributionUtils
rangeContainsCharIndex(Pair<Integer, Integer>, int) Sieve
rangeNot(String) RobustTokenizer
not
RANKING_MODEL StatisticalCorefTrainer
rankingModelPath(Properties) StatisticalCorefProperties
rankingScores ClustererDataLoader.ClustererDoc
RARE_WORD_MIN_FEATURE_THRESH TaggerConfig
RARE_WORD_THRESH TaggerConfig
ratioDomainNgramFreqWithDataFreq Data
ratioGoogleNgramFreqWithDataFreq Data
RAW_COUNTS GrammarCompactor
rawFreq Data
rawSentence() Sentence
Get the backing protocol buffer for this sentence.
rawToken(int) Sentence
A helper to get the raw Protobuf builder for a given token.
RCB RobustTokenizer
rDen EvalUtils.AbstractEvaluator
read(String) AceReader
Reads in ACE*.apf.xml files and converts them to RelationSentence objects.
read(String) RothCONLL04Reader
read(String) GenericDataSetReader
read() ReaderInputStream
Reads from the Reader, returning the same value.
read(byte[], int, int) ReaderInputStream
Reads from the Reader into a byte array
read(DataInputStream) WordTag
read(InputStream) AnnotationSerializer
Read a single object from this stream.
read(InputStream) CustomAnnotationSerializer
read(InputStream) GenericAnnotationSerializer
read(InputStream) ProtobufAnnotationSerializer
Read a single object from this stream.
read(DataInputStream) CountWrapper
read(String) Dictionary
read(DataInputStream) Dictionary
read(DataInputStream) FeatureKey
read(String) TTags
read(DataInputStream) TTags
read() StringParsingTask
read_lambdas(DataInputStream) LambdaSolve
Read the lambdas from the stream.
readAndParseTag(Reader) XMLUtils
readAndReturnTrainingExamples(String) ColumnDataClassifier
Read a set of training examples from a file, and return the data in a
featurized form and in String form.
readAnimacyList(String) QuoteAttributionUtils
readBinarizedTreebank(String, FileFilter) ShiftReduceParser
readCEDict(String) ChineseEnglishWordMap
readCEDict(String, String, String, String) ChineseEnglishWordMap
readCharacterList(String) QuoteAttributionUtils
readClassifier(String) LinearClassifier
Loads a classifier from a file.
readColumnSet(String, int) IOUtils
Read column as set
readConfig(DataInputStream) TaggerConfig
Read in a TaggerConfig.
readCoNLLXGrammaticalStructureCollection(String) EnglishGrammaticalStructure
readCoNLLXGrammaticalStructureCollection(String, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) GrammaticalStructure
Read in a file containing a CoNLL-X dependency treebank and return a
corresponding list of GrammaticalStructures.
readCoNLLXGrammaticalStructureCollection(String) ChineseGrammaticalStructure
readCoNLLXGrammaticalStructureCollection(String) UniversalChineseGrammaticalStructure
readCoNLLXGrammaticalStructureCollection(String) UniversalEnglishGrammaticalStructure
readConnection(String) XMLToAnnotation
readCoreDocument(InputStream) AnnotationSerializer
Read in a CoreDocument from this input stream.
readCSVStrictly(char[], int) IOUtils
Read a CSV file character by character.
readCSVStrictly(String, int) IOUtils
readCSVWithHeader(String, char, char) IOUtils
Read in a CSV formatted file with a header row.
readCSVWithHeader(String) IOUtils
readData(BufferedReader) AbstractDependencyGrammar
Default is to throw exception.
readData(BufferedReader) BaseLexicon
Populates data in this Lexicon from the character stream given by the
Reader r.
readData(BufferedReader) BinaryGrammar
Populates data in this BinaryGrammar from the character stream
given by the Reader r.
readData(BufferedReader) ChineseCharacterBasedLexicon
readData(BufferedReader) ChineseLexiconAndWordSegmenter
readData(BufferedReader) DependencyGrammar
Read from text grammar.
readData(BufferedReader) Lexicon
Read the lexicon from the BufferedReader in the format written by
writeData.
readData(BufferedReader) MLEDependencyGrammar
Populates data in this DependencyGrammar from the character stream
given by the Reader r.
readData(BufferedReader) Options.LexOptions
readData(BufferedReader) Options
Populates data in this Options from the character stream.
readData(BufferedReader) UnaryGrammar
Populates data in this UnaryGrammar from a character stream.
readDataset(File) KBPRelationExtractor
Read a dataset from a CoNLL formatted input file
ReadDataTagged edu.stanford.nlp.tagger.maxent
Reads tagged data from a file and creates a dictionary.
ReadDataTagged(TaggerConfig, MaxentTagger, PairsHolder) ReadDataTagged
readDependencies(String) DependencyReader
readDeps(String) DependencyScoring
Read in typed dependencies.
readDepsCoNLLX(String) DependencyScoring
Read in typed dependencies in CoNLLX format.
readDocument(File) DomReader
Constructs one Document from an XML file
readDocument() DocumentReader
Reads the next document's worth of text from the reader and turns it into
a Document.
readDocumentFromFile(String) XMLUtils
readDocumentFromString(String) XMLUtils
readDot() StringParsingTask
readDoubleArr(DataInputStream) ConvertByteArray
reader() TaggedFileRecord
readerAndWriter SeqClassifierFlags
readerFromFile(File) IOUtils
Open a BufferedReader to a File.
readerFromFile(File, String) IOUtils
Open a BufferedReader to a File.
readerFromStdin() IOUtils
Open a BufferedReader on stdin.
readerFromStdin(String) IOUtils
Open a BufferedReader on stdin.
readerFromString(String) IOUtils
Open a BufferedReader to a file, class path entry or URL specified by a String name.
readerFromString(String, String) IOUtils
Open a BufferedReader to a file or URL specified by a String name.
ReaderInputStream edu.stanford.nlp.io
Adapts a Reader as an InputStream.
ReaderInputStream(Reader) ReaderInputStream
Construct a ReaderInputStream
for the specified Reader.
ReaderInputStream(Reader, String) ReaderInputStream
Construct a ReaderInputStream
for the specified Reader,
with the specified encoding.
ReaderIteratorFactory edu.stanford.nlp.objectbank
A ReaderIteratorFactory provides a means of getting an Iterator
which returns java.util.Readers over a Collection of input
sources.
ReaderIteratorFactory(Collection<?>) ReaderIteratorFactory
Constructs a ReaderIteratorFactory from the input sources
contained in the Collection.
ReaderIteratorFactory(Collection<?>, String) ReaderIteratorFactory
ReaderIteratorFactory(Object) ReaderIteratorFactory
Convenience constructor to construct a ReaderIteratorFactory from a single
input source.
ReaderIteratorFactory(Object, String) ReaderIteratorFactory
ReaderIteratorFactory() ReaderIteratorFactory
readerLogLevel MachineReadingProperties
readFamilyRelations(String) QuoteAttributionUtils
readFileList(String) StanfordCoreNLP
readFloatArr(DataInputStream) ConvertByteArray
readGenderedNounList(String) QuoteAttributionUtils
readGrammaticalStructureFromFile(String) AbstractTreebankParserParams
readGrammaticalStructureFromFile(String) ChineseTreebankParserParams
readGrammaticalStructureFromFile(String) EnglishTreebankParserParams
readGrammaticalStructureFromFile(String) TreebankLangParserParams
Returns a function which reads the given filename and turns its
content in a list of GrammaticalStructures.
readJavaIdentifier() StringParsingTask
readL(String) LambdaSolve
Read the lambdas from the file.
readLeftParen() StringParsingTask
readLines(String) IOUtils
Returns an Iterable of the lines in the file.
readLines(String, String) IOUtils
Returns an Iterable of the lines in the file.
readLines(File) IOUtils
Returns an Iterable of the lines in the file.
readLines(File, Class<? extends InputStream>) IOUtils
Returns an Iterable of the lines in the file.
readLines(File, Class<? extends InputStream>, String) IOUtils
Returns an Iterable of the lines in the file, wrapping the generated
FileInputStream with an instance of the supplied class.
readMacros(String) Macros
readMacros(String, String) Macros
readMacros(BufferedReader) Macros
readMap(String) IOUtils
readModelAndInit(Properties, String, boolean) MaxentTagger
This reads the complete tagger from a single model stored in a file, at a URL,
or as a resource in a jar file, and initializes the tagger using a
combination of the properties passed in and parameters from the file.
readModelAndInit(Properties, InputStream, boolean) MaxentTagger
This reads the complete tagger from a single model provided as an InputStream,
and initializes the tagger using a
combination of the properties passed in and parameters from the file.
readModelAndInit(Properties, DataInputStream, boolean) MaxentTagger
This reads the complete tagger from a single model file, and inits
the tagger using a combination of the properties passed in and
parameters from the file.
readName() StringParsingTask
readNextDocumentText() DocumentReader
Reads the next document's worth of text from the reader.
readObjectAnnouncingTimingFromURLOrClasspathOrFileSystem(Redwood.RedwoodChannels, String, String) IOUtils
readObjectFromColumns(Class, String, String[], String) IOUtils
readObjectFromFile(File) IOUtils
Read an object from a stored file.
readObjectFromFile(String) IOUtils
Read an object from a stored file.
readObjectFromFileNoExceptions(File) IOUtils
Read an object from a stored file without throwing exceptions.
readObjectFromObjectStream(ObjectInputStream) IOUtils
readObjectFromURLOrClasspathOrFileSystem(String) IOUtils
Read an object from a stored file.
readPersonMap(List<Person>) QuoteAttributionUtils
readPersonMap(String) QuoteAttributionUtils
readPhrases(String, boolean) PhraseTable
Read in phrases from a file (assumed to be tab delimited)
readPhrases(String, boolean, String) PhraseTable
Read in phrases from a file.
readPhrases(String, boolean, Pattern) PhraseTable
readPhrases(String, int, int) PhraseTable
readPhrasesWithTagScores(String) PhraseTable
Read in phrases where there is each pattern has a score of being associated with a certain tag.
readPhrasesWithTagScores(String, String, String) PhraseTable
readPhrasesWithTagScores(String, Pattern, Pattern) PhraseTable
readResolve() Clique
readResolve() GrammaticalRelation
When deserializing a GrammaticalRelation, it needs to be matched
up with the existing singleton relation of the same type.
readRightParen() StringParsingTask
readScoredTrees(String) CharniakScoredParsesReaderWriter
Reads scored parses from the charniak parser
File format of the scored parses:
readScoredTrees(String, BufferedReader) CharniakScoredParsesReaderWriter
Reads scored parses from the charniak parser
readSeedWords(Properties) GetPatternsFromDataMultiClass
readSeedWords(String) GetPatternsFromDataMultiClass
readSeedWordsFromJSONString(String) GetPatternsFromDataMultiClass
readSentencesFromFile(String) AnnotationUtils
ReadSentimentDataset edu.stanford.nlp.sentiment
Reads the sentiment dataset and writes it to the appropriate files.
readSerializedProtobufFile(File) ExtractQuotesUtil
readStdin SeqClassifierFlags
readStreamFromString(String) IOUtils
Returns an ObjectInputStream reading from any of a URL, a CLASSPATH resource, or a file.
readStringPair(DataInputStream) Pair
Read a string representation of a Pair from a DataStream.
readSVMLightFormat(String) Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, List<String>) Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>) Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>, List<String>) Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String) RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, List<String>) RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>) RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(File) RVFDataset
Read SVM-light formatted data into this dataset.
readTag(Reader) XMLUtils
Reads all text of the XML tag and returns it as a String.
readTestExamples(String) ColumnDataClassifier
Read a data set from a file at test time, and return it.
readText(Reader) DocumentReader
Returns everything that can be read from the given Reader as a String.
readTokenFile(String, Annotation) BammanCorefReader
The main output here is data/tokens/dickens.oliver.tokens, which contains the original book, one token per line, with part of speech, syntax, NER, coreference and other annotations.
readTrainingExamples(String) ColumnDataClassifier
Read a set of training examples from a file, and return the data in a
featurized form.
readTree() FilteringTreeReader
Reads a single tree.
readTree() FrenchXMLTreeReader
readTree() FragDiscardingPennTreeReader
readTree() SpanishXMLTreeReader
readTree() PennTreeReader
Reads a single tree in standard Penn Treebank format from the
input stream.
readTree() TreeReader
Reads a single tree.
readTree(String, TreeFactory) Trees
Simple tree reading utility method.
readTree(String) Trees
Simple tree reading utility method.
readTreebank(String, FileFilter) ShiftReduceParser
readTreesWithGoldLabels(String) SentimentUtils
Given a file name, reads in those trees and returns them as a List
readTreesWithLabels(String, Class<? extends CoreAnnotation<Integer>>) SentimentUtils
Given a file name, reads in those trees and returns them as a List
readTreesWithPredictedLabels(String) SentimentUtils
Given a file name, reads in those trees and returns them as list with
labels attached as predictions
readUndelimited(File) ProtobufAnnotationSerializer
Read a single protocol buffer, which constitutes the entire stream.
readUntilTag(Reader) XMLUtils
Reads all text up to next XML tag and returns it as a String.
readWhiteSpace() StringParsingTask
readWord2Vec(String) VectorMap
Read the Word2Vec word vector flat txt file.
readWordVectors() DVModel
readXMLCharacterList(Document) XMLToAnnotation
readXMLFormat(String) XMLToAnnotation
ReadyHandler(AtomicBoolean) StanfordCoreNLPServer.ReadyHandler
The trivial constructor.
realSysErr Redwood
The real System.err stream
realSysOut Redwood
The real System.out stream
recalculateBetas(boolean) SplittingGrammarExtractor
Recalculates the betas for all known transitions.
recalculateMergedBetas(Map<String, int[]>) SplittingGrammarExtractor
recalculatePrevBatch AbstractStochasticCachingDiffFunction
recalculateTemporaryBetas(boolean, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) SplittingGrammarExtractor
Creates temporary beta data structures and fills them in by
iterating over the trees.
recalculateTemporaryBetas(Tree, boolean, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) SplittingGrammarExtractor
recalculateTemporaryBetas(Tree, double[], int, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) SplittingGrammarExtractor
recall(String) KBPRelationExtractor.Accuracy
recall() ConfusionMatrix.Contingency
recallMacro() KBPRelationExtractor.Accuracy
recallMicro() KBPRelationExtractor.Accuracy
RECOGNISED_PATTERN RobustTokenizer
recomputeTotal() TwoDimensionalCounter
Record(Object, Object[], int, long) Redwood.Record
Create a new Record, based on the content of the log, the channels, and
the depth
recordBinarized ShiftReduceTestOptions
recordDebinarized ShiftReduceTestOptions
RecordHandlerTree() Redwood.RecordHandlerTree
RecordHandlerTree(LogRecordHandler) Redwood.RecordHandlerTree
recordScore(KBestViterbiParser, PrintWriter) AbstractEval.ScoreEval
recountInside(Tree, boolean, int, IdentityHashMap<Tree, double[]>) SplittingGrammarExtractor
recountOutside(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) SplittingGrammarExtractor
recountOutside(Tree, Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) SplittingGrammarExtractor
recountOutside(Tree, Tree, Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) SplittingGrammarExtractor
recountTree(Tree, boolean, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) SplittingGrammarExtractor
recountTree(Tree, boolean, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) SplittingGrammarExtractor
recountWeights(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) SplittingGrammarExtractor
recoverOriginalText(List<CoreLabel>, CoreNLPProtos.Sentence) ProtobufAnnotationSerializer
recurse(Tree, Tree) SisterAnnotationStats
p is parent
recurseOutside(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) SplittingGrammarExtractor
recursiveQuotes(String, int, String) QuoteAnnotator
RecursiveTreeTransformer edu.stanford.nlp.trees
A tool to recursively alter a tree in various ways.
RecursiveTreeTransformer() RecursiveTreeTransformer
RED ClassifierExample
RED Redwood.Util
RedirectOutputHandler LoggerClass ,ChannelEquivalent > - Class in edu.stanford.nlp.util.logging
A class to redirect the output of Redwood to another logging mechanism,
e.g., java.util.logging.
RedirectOutputHandler(LoggerClass, Method) RedirectOutputHandler
Create a redirect handler, with a logging class, ignoring logging
levels.
RedirectOutputHandler(LoggerClass, Method, Map<Object, ChannelEquivalent>, ChannelEquivalent) RedirectOutputHandler
Create a redirect handler, with a logging class, redirecting both the logging
message, and the channel that it came from
redoTags(Tree, Tagger) ShiftReduceParser
redoTags(List<Tree>, Tagger, int) ShiftReduceParser
reduceGranularityTo(SUTime.Duration) SUTime.CompositePartialTime
reduceGranularityTo(SUTime.Duration) SUTime.PartialTime
reduceGranularityTo(SUTime.Duration) SUTime.Time
Redwood edu.stanford.nlp.util.logging
A hierarchical channel-based logger.
Redwood.ConsoleHandler edu.stanford.nlp.util.logging
Default output handler which actually prints things to the real System.out
Redwood.FileHandler edu.stanford.nlp.util.logging
Handler which prints to a specified file.
Redwood.Flag edu.stanford.nlp.util.logging
Standard channels; enum for the sake of efficiency
Redwood.Record edu.stanford.nlp.util.logging
A log record, which encapsulates the information needed
to eventually display the enclosed message.
Redwood.RecordHandlerTree edu.stanford.nlp.util.logging
A tree structure of record handlers
Redwood.RedwoodChannels edu.stanford.nlp.util.logging
Represents a collection of channels.
Redwood.Util edu.stanford.nlp.util.logging
A utility class for Redwood intended for static import
(import static edu.stanford.nlp.util.logging.Redwood.Util.*;),
providing a wrapper for Redwood functions and adding utility shortcuts.
RedwoodChannels(Object...) Redwood.RedwoodChannels
RedwoodConfiguration edu.stanford.nlp.util.logging
A class which encapsulates configuration settings for Redwood.
RedwoodConfiguration() RedwoodConfiguration
Private constructor to prevent use of "new RedwoodConfiguration()"
RedwoodConfiguration.Handlers edu.stanford.nlp.util.logging
RedwoodConfiguration.Thunk edu.stanford.nlp.util.logging
RedwoodHandler() JavaUtilLoggingAdaptor.RedwoodHandler
RedwoodPrintStream edu.stanford.nlp.util.logging
A PrintStream that writes to Redwood logs.
RedwoodPrintStream(Redwood.Flag, PrintStream) RedwoodPrintStream
REFERENT EnglishGrammaticalRelations
The "referent" grammatical relation.
REFERENT UniversalEnglishGrammaticalRelations
The "referent" grammatical relation.
ReflectionLoading edu.stanford.nlp.util
The goal of this class is to make it easier to load stuff by
reflection.
ReflectionLoading.ReflectionLoadingException edu.stanford.nlp.util
This class encapsulates all of the exceptions that can be thrown
when loading something by reflection.
ReflectionLoadingException(String, Throwable) ReflectionLoading.ReflectionLoadingException
reflexivePronouns Dictionaries
reflexivePronouns Dictionaries
reflexivePronounsEn WordLists
reflexivePronounsZh WordLists
RefTime(String) SUTime.RefTime
RefTime(SUTime.StandardTemporalType, String, String) SUTime.RefTime
regClassification RNNTrainOptions
Regularization cost for the classification matrices
regCost TrainOptions
regDistanceBin(int) AbstractDependencyGrammar
regDistanceBins AbstractDependencyGrammar
regentText UnnamedDependency
regexesToPatterns(Iterable<String>) StringUtils
RegExFileFilter edu.stanford.nlp.io
Implements a file filter that filters based on a passed in
Pattern.
RegExFileFilter(Pattern) RegExFileFilter
Sets up a RegExFileFilter which checks if the file name (not the
entire path) matches the passed in
Pattern.
regexGroups(Pattern, String) StringUtils
Given a pattern, which contains one or more capturing groups, and a String,
returns a list with the values of the
captured groups in the pattern.
RegexMatchResultVarExpression(String, String...) Expressions.RegexMatchResultVarExpression
RegexMatchResultVarExpression(Integer, String...) Expressions.RegexMatchResultVarExpression
RegexMatchVarExpression(String, String...) Expressions.RegexMatchVarExpression
RegexMatchVarExpression(Integer, String...) Expressions.RegexMatchVarExpression
regexner(String, boolean) Sentence
Run RegexNER over this sentence.
RegexNERAnnotator edu.stanford.nlp.pipeline
This class adds NER information to an annotation using the RegexNERSequenceClassifier.
RegexNERAnnotator(String, Properties) RegexNERAnnotator
RegexNERAnnotator(String) RegexNERAnnotator
RegexNERAnnotator(String, boolean) RegexNERAnnotator
RegexNERAnnotator(String, boolean, String) RegexNERAnnotator
RegexNERAnnotator(String, boolean, boolean, String, boolean) RegexNERAnnotator
RegexNERSequenceClassifier edu.stanford.nlp.ie.regexp
A sequence classifier that labels tokens with types based on a simple manual mapping from
regular expressions to the types of the entities they are meant to describe.
RegexNERSequenceClassifier(String, boolean, boolean) RegexNERSequenceClassifier
RegexNERSequenceClassifier(String, boolean, boolean, String) RegexNERSequenceClassifier
Make a new instance of this classifier.
RegexNERSequenceClassifier(BufferedReader, boolean, boolean, String) RegexNERSequenceClassifier
Make a new instance of this classifier.
RegexStringFilter edu.stanford.nlp.util
Filters Strings based on whether they match a given regex.
RegexStringFilter(String) RegexStringFilter
RegexValue(String, String...) Expressions.RegexValue
region(int, int) SequenceMatcher
Set region to search in
regionEnd() SequenceMatcher
regionStart() SequenceMatcher
register(String, Properties, Lazy<Annotator>) AnnotatorPool
Register an Annotator that can be created by the pool.
registerAllExtensions(com.google.protobuf.ExtensionRegistryLite) CoreNLPProtos
registerAllExtensions(com.google.protobuf.ExtensionRegistry) CoreNLPProtos
registerDerivedUnit(Env, Class, String, String, String) Units
registerDerivedUnit(Env, Unit, String, String, String) Units
registerEdgeIndexes(Edge) HookChart
registerPrefix(Env, UnitPrefix) UnitPrefix
registerPrefixes(Env, String) UnitPrefix
registerPrefixes(Env, List<UnitPrefix>) UnitPrefix
registerReal(Edge) BiLexPCFGParser
registerRealEdge(Edge) HookChart
registerUnit(Env, Class) Units
registerUnit(Env, Unit) Units
registerUnits(Env, String) Units
registerUnits(Env, List<Unit>) Units
regParameter Config
Regularization parameter.
regTransformMatrix RNNTrainOptions
Regularization cost for the transform matrix
regTransformTensor RNNTrainOptions
Regularization cost for the transform tensor
regularGradientAndValue() CRFLogConditionalObjectiveFunction
regularGradientAndValue() CRFLogConditionalObjectiveFunctionNoisyLabel
regularizationStrength(double) PairwiseModel.Builder
regularizeSoftmaxTieParam SeqClassifierFlags
regWordVector RNNTrainOptions
Regularization cost for the word vectors
reinit() AbstractSequenceClassifier
This method should be called after there have been changes to the flags
(SeqClassifierFlags) variable, such as after deserializing a classifier.
ReInit(InputStream) TokenSequenceParser
Reinitialise.
ReInit(InputStream, String) TokenSequenceParser
Reinitialise.
ReInit(Reader) TokenSequenceParser
Reinitialise.
ReInit(TokenSequenceParserTokenManager) TokenSequenceParser
Reinitialise.
rejectFilter() Filters
The rejectFilter accepts nothing.
REL_FLAGS_AFTER Interval
REL_FLAGS_BEFORE Interval
REL_FLAGS_EE_AFTER Interval
The first interval ends after the second ends
REL_FLAGS_EE_BEFORE Interval
The first interval ends before the second ends
REL_FLAGS_EE_SAME Interval
Both intervals have the same end point
REL_FLAGS_EE_SHIFT Interval
REL_FLAGS_EE_UNKNOWN Interval
The relationship between the end points of the
two intervals is unknown (used for fuzzy intervals)
REL_FLAGS_ES_AFTER Interval
The end point of the first interval is after
the start point of the second interval
(the two intervals overlap)
REL_FLAGS_ES_BEFORE Interval
The end point of the first interval is before
the start point of the second interval
(the first interval is before the second)
REL_FLAGS_ES_SAME Interval
The end point of the first interval is the same
as the start point of the second interval
(the first interval is before the second)
REL_FLAGS_ES_SHIFT Interval
REL_FLAGS_ES_UNKNOWN Interval
The relationship between the end point of the first
interval and the start point of the second interval
is unknown (used for fuzzy intervals)
REL_FLAGS_INTERVAL_AFTER Interval
The first interval is entirely after the second interval
(the start of the first interval happens after the end of the second)
REL_FLAGS_INTERVAL_ALMOST_AFTER Interval
REL_FLAGS_INTERVAL_ALMOST_BEFORE Interval
REL_FLAGS_INTERVAL_ALMOST_SAME Interval
REL_FLAGS_INTERVAL_BEFORE Interval
The first interval is entirely before the second interval
(the end of the first interval happens before the start of the second)
REL_FLAGS_INTERVAL_CONTAIN Interval
The first interval contains the second interval.
REL_FLAGS_INTERVAL_FUZZY Interval
REL_FLAGS_INTERVAL_INSIDE Interval
The first interval is inside the second interval.
REL_FLAGS_INTERVAL_OVERLAP Interval
The first interval overlaps with the second interval.
REL_FLAGS_INTERVAL_SAME Interval
The intervals are the same (have the same start and end points).
REL_FLAGS_INTERVAL_UNKNOWN Interval
It is uncertain what the relationship between the
two intervals are...
REL_FLAGS_SAME Interval
REL_FLAGS_SE_AFTER Interval
The start point of the first interval is after
the end point of the second interval
(the second interval is before the first)
REL_FLAGS_SE_BEFORE Interval
The start point of the first interval is before
the end point of the second interval
(the two intervals overlap)
REL_FLAGS_SE_SAME Interval
The start point of the first interval is the same
as the end point of the second interval
(the second interval is before the first)
REL_FLAGS_SE_SHIFT Interval
REL_FLAGS_SE_UNKNOWN Interval
The relationship between the start point of the first
interval and the end point of the second interval
is unknown (used for fuzzy intervals)
REL_FLAGS_SS_AFTER Interval
The first interval starts after the second starts
REL_FLAGS_SS_BEFORE Interval
The first interval starts before the second starts
REL_FLAGS_SS_SAME Interval
Both intervals have the same start point
REL_FLAGS_SS_SHIFT Interval
REL_FLAGS_SS_UNKNOWN Interval
The relationship between the start points of the
two intervals is unknown (used for fuzzy intervals)
REL_FLAGS_UNKNOWN Interval
relation RelationTriple
The relation (second argument) of this triple.
RELATION_FIELD_NUMBER CoreNLPProtos.RelationTriple
RELATION_FIELD_NUMBER CoreNLPProtos.Sentence
relationClassifier MachineReadingProperties
relationExtractionPostProcessorClass MachineReadingProperties
RelationExtractorAnnotator edu.stanford.nlp.pipeline
Annotating relations between entities produced by the NER system.
RelationExtractorAnnotator(Properties) RelationExtractorAnnotator
relationExtractorClassifierType BasicRelationExtractor
which classifier to use (can be 'linear' or 'svm')
RelationExtractorResultsPrinter edu.stanford.nlp.ie.machinereading
RelationExtractorResultsPrinter(RelationMentionFactory) RelationExtractorResultsPrinter
RelationExtractorResultsPrinter() RelationExtractorResultsPrinter
RelationExtractorResultsPrinter(boolean) RelationExtractorResultsPrinter
RelationExtractorResultsPrinter(RelationMentionFactory, boolean) RelationExtractorResultsPrinter
RelationFeatureFactory edu.stanford.nlp.ie.machinereading
Base class for feature factories
Created by Sonal Gupta.
RelationFeatureFactory() RelationFeatureFactory
RelationFeatureFactory.DEPENDENCY_TYPE edu.stanford.nlp.ie.machinereading
relationFeatureFactoryClass MachineReadingProperties
relationFeatures MachineReadingProperties
relationGloss() RelationTriple
The relation of this relation triple, as a String
relationHead() RelationTriple
The head of the relation of this relation triple.
relationHead() RelationTriple.WithTree
The head of the relation of this relation triple.
relationInFragment(SentenceFragment) OpenIE
Returns the possible relation triple in this sentence fragment.
relationLemmaGloss() RelationTriple
The relation of this relation triple, as a String of the relation's lemmas.
RelationMention edu.stanford.nlp.ie.machinereading.structure
Each relation has a type and set of arguments
RelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>) RelationMention
RelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>, List<String>) RelationMention
RelationMention(String, CoreMap, Span, String, String, ExtractionObject...) RelationMention
relationMentionFactory BasicRelationExtractor
relationMentionFactory RelationExtractorResultsPrinter
RelationMentionFactory edu.stanford.nlp.ie.machinereading.structure
RelationMentionFactory() RelationMentionFactory
relationMentionFactoryClass MachineReadingProperties
RelationMentionsAnnotation() MachineReadingAnnotations.RelationMentionsAnnotation
relationResultsPrinters MachineReadingProperties
relations(Properties) AnnotatorImplementations
Annotate for relations expressed in sentences
relations() CoreSentence
list of KBP relations found
relations(Properties) ServerAnnotatorImplementations
Annotate for relations expressed in sentences
relationsBeam AnnotationOutputter.Options
relationsInClause(SentenceFragment) OpenIE
Extract the relations in this clause.
relationsInFragments(Collection<SentenceFragment>) OpenIE
Returns the possible relation triple in this set of sentence fragments.
relationsInSentence(CoreMap) OpenIE
Extract the relations in this sentence.
relationsToSkipDuringTraining MachineReadingProperties
RELATIONTOKENS_FIELD_NUMBER CoreNLPProtos.RelationTriple
relationTokenSpan() RelationTriple
Get a representative span for the relation expressed by this triple.
RelationTriple edu.stanford.nlp.ie.util
A (subject, relation, object) triple; e.g., as used in the KBP challenges or in OpenIE systems.
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double) RelationTriple
Create a new triple with known values for the subject, relation, and object.
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>) RelationTriple
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, double) RelationTriple
Create a new triple with known values for the subject, relation, and object.
RelationTriple(List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>, List<CoreLabel>) RelationTriple
RelationTriple.WithLink edu.stanford.nlp.ie.util
A
RelationTriple, but with both the tree and the entity
links saved as well.
RelationTriple.WithTree edu.stanford.nlp.ie.util
RelationTriplesAnnotation() NaturalLogicAnnotations.RelationTriplesAnnotation
RelationTripleSegmenter edu.stanford.nlp.naturalli
RelationTripleSegmenter(boolean) RelationTripleSegmenter
Create a new relation triple segmenter.
RelationTripleSegmenter() RelationTripleSegmenter
RELATIVE EnglishGrammaticalRelations
The RELATIVE grammatical relation is only here as a temporary
relation.
RELATIVE UniversalEnglishGrammaticalRelations
The RELATIVE grammatical relation is only here as a temporary
relation.
RELATIVE_CLAUSE_MODIFIER EnglishGrammaticalRelations
The "relative clause modifier" grammatical relation.
RELATIVE_CLAUSE_MODIFIER ChineseGrammaticalRelations
The "relative clause modifier" grammatical relation.
RELATIVE_CLAUSE_MODIFIER UniversalEnglishGrammaticalRelations
The "relative clause modifier" grammatical relation.
RELATIVE_OFFSET_INEXACT SUTime
relativeDateMap ISODateInstance
Map for mapping a relativeDate String to a pair with the field that should be modified and the amount to modify it *
relativeIndex(int) Clique
relativePronouns Dictionaries
relativePronouns Mention
relativePronouns Dictionaries
relativePronouns Mention
RELATIVEPRONOUNS_FIELD_NUMBER CoreNLPProtos.Mention
relativePronounsEn WordLists
relativePronounsZh WordLists
RelativeTime(SUTime.Time, SUTime.TemporalOp, SUTime.Temporal, int) SUTime.RelativeTime
RelativeTime(SUTime.Time, SUTime.TemporalOp, SUTime.Temporal) SUTime.RelativeTime
RelativeTime(SUTime.TemporalOp, SUTime.Temporal) SUTime.RelativeTime
RelativeTime(SUTime.TemporalOp, SUTime.Temporal, int) SUTime.RelativeTime
RelativeTime(SUTime.Duration) SUTime.RelativeTime
RelativeTime(SUTime.Time, SUTime.Duration) SUTime.RelativeTime
RelativeTime(SUTime.Time) SUTime.RelativeTime
RELATIVIZING_WORD_PATTERN EnglishPatterns
RELATIVIZING_WORD_REGEX EnglishPatterns
RelaxedExactStringMatch edu.stanford.nlp.coref.hybrid.sieve
RelaxedExactStringMatch() RelaxedExactStringMatch
RelaxedExactStringMatch edu.stanford.nlp.dcoref.sievepasses
RelaxedExactStringMatch() RelaxedExactStringMatch
RelaxedHeadMatch edu.stanford.nlp.coref.hybrid.sieve
RelaxedHeadMatch() RelaxedHeadMatch
RelaxedHeadMatch edu.stanford.nlp.dcoref.sievepasses
RelaxedHeadMatch() RelaxedHeadMatch
RelaxedString() TokenSequenceParser
relaxedStringMatch(Mention, Mention) FeatureExtractor
RelaxedStringNoIdentifier() TokenSequenceParser
RelaxedStringToken() TokenSequenceParser
relaxHook1 BiLexPCFGParser
relaxHook2 BiLexPCFGParser
relaxHook3 BiLexPCFGParser
relaxHook4 BiLexPCFGParser
relaxPriority(E, double) BinaryHeapPriorityQueue
Promotes a key in the queue, adding it if it wasn't there already.
relaxPriority(E, double) FixedPrioritiesPriorityQueue
Not supported in this implementation.
relaxPriority(E, double) PriorityQueue
Increases the priority of the E key to the new priority if the old priority
was lower than the new priority.
relaxTempEdge() BiLexPCFGParser
relaxTempHook() BiLexPCFGParser.N5BiLexPCFGParser
relaxTempHook() BiLexPCFGParser
release() TemplateHash
reln(IndexedWord, IndexedWord) SemanticGraph
Returns the relation that node a has with node b.
reln() TypedDependency
relns(IndexedWord) SemanticGraph
Returns a set of relations which this node has with its parents.
remove(Class<? extends TypesafeMap.Key<VALUE>>) IndexedWord
remove(Object) BoundedCostOrderedMap
remove(Object) TrieMap
remove(Iterable) TrieMap
remove(K[]) TrieMap
remove(Object) PhraseTable.PhraseStringCollection
remove(Object) ObjectBank
Unsupported Operation.
remove(Object) ReaderIteratorFactory
Removes an Object from the underlying Collection of input sources.
remove() AbstractTokenizer
This is an optional operation, by default not supported.
remove(Object) ObjectBankWrapper
remove(E) ClassicCounter
Removes the given key and its associated value from this Counter.
remove(E) Counter
Removes the given key and its associated value from this Counter.
remove(E) IntCounter
Removes the given key from this Counter.
remove(K1, K2) TwoDimensionalCounter
remove(K1) TwoDimensionalCounter
remove(K1, K2) TwoDimensionalCounterInterface
remove(K1) TwoDimensionalCounterInterface
remove(K1, K2) TwoDimensionalIntCounter
remove(K1) TwoDimensionalIntCounter
remove() TextTaggedFileReader
remove() TreeTaggedFileReader
remove() TSVTaggedFileReader
remove(int) MemoryTreebank
remove(Object) Treebank
This operation isn't supported for a Treebank.
remove() AbstractIterator
Throws an UnsupportedOperationException.
remove(Class<? extends TypesafeMap.Key<VALUE>>) ArrayCoreMap
Removes the given key from the map, returning the value removed.
remove(Object) ArrayMap
remove(Object) Beam
remove() BinaryHeapPriorityQueue
remove(Object) BinaryHeapPriorityQueue
remove(Object) CollectionValuedMap
Removes the mapping associated with this key from this Map.
remove() ConcatenationIterator
remove(Object) DeltaMap
remove() FilteredIterator
remove() FixedPrioritiesPriorityQueue
Not supported -- next() already removes the head of the queue.
remove(Object) IdentityHashSet
Removes the specified element from this set if it is present.
remove(Object) IntervalTree
remove(T) IntervalTree
remove(IntervalTree.TreeNode<E, T>, T) IntervalTree
remove() IterableIterator
remove(Object) MaxSizeConcurrentHashSet
remove(K1, K2, K3) ThreeDimensionalMap
remove(K1, K2) TwoDimensionalMap
remove(K1) TwoDimensionalMap
Removes all of the data associated with the first key in the map
remove(K1, K2) TwoDimensionalSet
remove(Class<? extends TypesafeMap.Key<VALUE>>) TypesafeMap
Removes the given key from the map, returning the value removed.
REMOVE_ANNOTATION_TAG_FUNCTION ValueFunctions
REMOVE_APPOSITION_PREDICATENOMINATIVES HybridCorefProperties
if true, remove appositives, predicate nominatives in post processing
REMOVE_APPOSITION_PREDICATENOMINATIVES Constants
if true, remove appositives, predicate nominatives in post processing
REMOVE_SINGLETONS HybridCorefProperties
if true, remove singletons in post processing
REMOVE_SINGLETONS Constants
if true, remove singletons in post processing
REMOVE_VALUE_TAG_FUNCTION ValueFunctions
removeAll(Collection, Collection) FastExactAutomatonMinimizer
removeAll(Collection<?>) PhraseTable.PhraseStringCollection
removeAll(Collection<?>) ObjectBank
Unsupported Operation.
removeAll(Collection<?>) ReaderIteratorFactory
Removes all Objects in Collection c from the underlying Collection of
input sources.
removeAll(Collection<?>) ObjectBankWrapper
removeAll(Collection<E>) ClassicCounter
Removes all the given keys from this Counter.
removeAll(Collection<E>) IntCounter
Removes all the given keys from this Counter.
removeAll(Collection<K>) CollectionValuedMap
Removes the mappings associated with the keys from this map.
removeAll(Collection<?>) IntervalTree
removeAll(Collection<?>) MaxSizeConcurrentHashSet
removeAll(TwoDimensionalSet<? extends K1, ? extends K2>) TwoDimensionalSet
removeAllMatches() MatchesPanel
removeArc(TransducerGraph.Arc) TransducerGraph
removeArg(int) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
removeArgument(ExtractionObject, boolean) RelationMention
removeArguments(Set<ExtractionObject>, boolean) RelationMention
removeAt(double[], int) ArrayUtils
Removes the element at the specified index from the array, and returns
a new array containing the remaining elements.
removeAt(Object[], int) ArrayUtils
Removes the element at the specified index from the array, and returns
a new array containing the remaining elements.
removeBackgroundSingletonFeatures SeqClassifierFlags
removeCharacter(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
removeCharacter(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
removeChars Dictionaries
removeCharsZh WordLists
removeChild(int) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
removeChild(int) Tree
Destructively removes the child at some daughter index and returns it.
removeChild(int) TreeGraphNode
Removes the ith child from the TreeGraphNode.
removeChild(LogRecordHandler) Redwood.RecordHandlerTree
removeChildren(Node) XMLUtils
removeCorefChain(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
removeDashTags AbstractDataset
removeDependencyRoots(List<Tree>) TreebankAnnotator
removeDuplicates(Collection<SemanticGraph>) SemanticGraphUtils
Removes duplicate graphs from the set, using the string form of the graph
as the key (obviating issues with object equality).
removeDuplicates(Collection<SemanticGraph>, Collection<SemanticGraph>) SemanticGraphUtils
Given the set of graphs to remove duplicates from, also removes those on the tabu graphs
(and does not include them in the return set).
removeDuplicates(Collection<SemanticGraph>, SemanticGraph) SemanticGraphUtils
removeEdge(V, V, E) DirectedMultiGraph
removeEdge(V, V, E) Graph
removeEdge(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
removeEdge(SemanticGraphEdge) SemanticGraph
removeEdges(V, V) DirectedMultiGraph
removeEdges(V, V) Graph
removeEldestEntry(Map.Entry<K, V>) CacheMap
removeEntailedClause(int) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
removeEntailedSentence(int) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
removeEntity(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
removeEscapeTokens AbstractDataset
removeFeature(String) TregexPoweredTreebankParserParams
Disable a feature.
removeFirst() BinaryHeapPriorityQueue
Finds the E with the highest priority, removes it,
and returns it.
removeFirst() FixedPrioritiesPriorityQueue
Returns the highest-priority element and removes it from the queue.
removeFirst() PriorityQueue
Finds the object with the highest priority, removes it,
and returns it.
removeFromParents() EventMention
RemoveGFSubcategoryStripper() AbstractTreebankParserParams.RemoveGFSubcategoryStripper
removeIf(Predicate<? super E>) MaxSizeConcurrentHashSet
removeKBestParseTrees(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
removeKbpTriple(int) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
removeKeys(TwoDimensionalCounter<E, F>, Collection<E>) ScorePhrases
removeKeys(Counter<E>, Collection<E>) Counters
Removes all entries with keys in the given collection
removeKeys(TwoDimensionalCounter<E, F>, Collection<E>) Counters
Removes all entries with keys (first key set) in the given collection
removeKeys(Map<K, V>, Collection<K>) Maps
Removes keys from the map
removeLast() Features
removeLast() Problem
removeLastEntry() BinaryHeapPriorityQueue
Remove the last element of the heap (last in the index array).
removeMapping(K, V) CollectionValuedMap
Removes the value from the Collection mapped to by this key, leaving the
rest of the collection intact.
removeMention(int) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
removeMentions(int) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
removeMentions(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
removeMentionsForCoref(int) CoreNLPProtos.Document.Builder
coref mentions for entire document *
removeMentionsForCoref(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
removeNested(List<T>) MatchedExpression
removeNestedMentions(Properties) CorefProperties
removeNode(int) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
removeNodeSpi() DisabledPreferences
removeNullValues(List<T>) MatchedExpression
removeObject(List<T>, T) CollectionUtils
Removes the first occurrence in the list of the specified object, using
object identity (==) not equality as the criterion for object presence.
removeObjectTokens(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
removeOpenieTriple(int) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
removeOriginalSpan(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
removeOverlapping(List<T>) MatchedExpression
removeOverLappingLabelsFromSeed ConstantsAndVariables
Keeps only one label for each token, whichever has the longest
removeParent(ExtractionObject) EventMention
removeParenthesis(String) Mention
removeParenthesis(String) Mention
removePhraseAfterHead() Mention
Remove any clause after headword
removePhraseAfterHead() Mention
Remove any clause after headword
removePhrasesWithStopWords ConstantsAndVariables
removeQuote(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
removeQuoteNames(List<String>, CoreMap) BaselineTopSpeakerSieve
removeQuotes(int) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
removeRelation(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
removeRelationTokens(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
removeSecondTopStack() Configuration
removeSections(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
removeSentence(int) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
removeSentencelessToken(int) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
removeSentenceWords(int) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
removeSingletonClusters(Properties) CorefProperties
removeSingletonClusters(Document) CorefUtils
removeSoftHyphens(String) LexerUtils
removeSpaces(String) AceToken
removeSpi(String) DisabledPreferences
removeSpuriousMentions(Annotation, List<List<Mention>>, Dictionaries, boolean, Locale) CorefMentionFinder
removeSpuriousMentions(CoreMap, List<Mention>, Dictionaries) RuleBasedCorefMentionFinder
Filter out all spurious mentions
removeSpuriousMentionsEn(Annotation, List<List<Mention>>, Dictionaries) CorefMentionFinder
removeSpuriousMentionsEn(Annotation, List<List<Mention>>, Dictionaries) RuleBasedCorefMentionFinder
Filter out all spurious mentions
removeSpuriousMentionsZh(Annotation, List<List<Mention>>, Dictionaries, boolean) CorefMentionFinder
removeStopWordsFromSelectedPhrases ConstantsAndVariables
removeStrictGoodCoNLLDuplicates SeqClassifierFlags
removeSubjectTokens(int) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
removeTag(String) Tags
removeToken(int) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
removeTopN SeqClassifierFlags
removeTopNPercent SeqClassifierFlags
removeTopStack() Configuration
removeTreeModelListener(TreeModelListener) FileTreeModel
removeVertex(V) DirectedMultiGraph
remove a vertex (and its edges) from the graph.
removeVertex(V) Graph
remove a vertex (and its edges) from the graph.
removeVertex(IndexedWord) SemanticGraph
removeVertices(Collection<V>) DirectedMultiGraph
removeVertices(Collection<V>) Graph
removeWords Dictionaries
removeWordsZh WordLists
removeXOverX(Tree) CoordinationTransformer
removeZeroCounts() IntCounter
Removes all keys whose count is 0.
removeZeroCounts() TwoDimensionalCounter
removeZeroCounts() TwoDimensionalIntCounter
removeZeroDegreeNodes() DirectedMultiGraph
Deletes nodes with zero incoming and zero outgoing edges
removeZeroDegreeNodes() Graph
Deletes nodes with zero incoming and zero outgoing edges
ReorderingOracle edu.stanford.nlp.parser.shiftreduce
A second attempt at making an oracle.
ReorderingOracle(ShiftReduceOptions) ReorderingOracle
repeat(String, int) StringUtils
repeat(char, int) StringUtils
RepeatedRecordHandler edu.stanford.nlp.util.logging
Filters repeated messages and replaces them with the number of times they were logged.
RepeatedRecordHandler(RepeatedRecordHandler.RepeatSemantics) RepeatedRecordHandler
Create a new repeated log message handler, using the given semantics for what
constitutes a repeated record.
RepeatedRecordHandler.ApproximateRepeatSemantics edu.stanford.nlp.util.logging
Judges two records to be equal if they come from the same place,
and begin with the same string, modulo numbers
RepeatedRecordHandler.ExactRepeatSemantics edu.stanford.nlp.util.logging
Judges two records to be equal if they are from the same place,
and have the same message
RepeatedRecordHandler.RepeatSemantics edu.stanford.nlp.util.logging
Determines the semantics of what constitutes a repeated record
RepeatPatternExpr(SequencePattern.PatternExpr, int, int) SequencePattern.RepeatPatternExpr
RepeatPatternExpr(SequencePattern.PatternExpr, int, int, boolean) SequencePattern.RepeatPatternExpr
replaceAll(List<T>) SequenceMatcher
Replaces all occurrences of the pattern with the specified list.
replaceAllExtended(List<SequenceMatcher.MatchReplacement<T>>) SequenceMatcher
Replaces all occurrences of the pattern with the specified list
of replacement items (can include matched groups).
replaceAscii(String) UTF8EquivalenceFunction
replaceFirst(List<T>) SequenceMatcher
Replaces the first occurrence of the pattern with the specified list.
replaceFirstExtended(List<SequenceMatcher.MatchReplacement<T>>) SequenceMatcher
Replaces the first occurrence of the pattern with the specified list
of replacement items (can include matched groups).
replaceGoldArgsWithPredicted(List<EntityMention>) RelationMention
Replaces the arguments of this relations with equivalent mentions from the predictedMentions list
This works only for arguments that are EntityMention!
replaceMerged(List<? extends CoreMap>, List<? extends MatchedExpression>) MatchedExpression
replaceMergedUsingTokenOffsets(List<? extends CoreMap>, List<? extends MatchedExpression>) MatchedExpression
replaceNode(IndexedWord, IndexedWord, SemanticGraph) SemanticGraphUtils
Replaces a node in the given SemanticGraph with the new node,
replacing its position in the node edges.
replaceNode(Tree, Tree, Tree) Trees
replaces all instances (by ==) of node with node1.
replaceUnicode(String) QuoteAnnotator
REPLICATECONLL_PROP Constants
report() Timing
Return elapsed time (without stopping timer).
report(String, PrintStream) Timing
Print elapsed time (without stopping timer).
report(String) Timing
Print elapsed time to System.err (without stopping timer).
report(String, PrintWriter) Timing
Print elapsed time (without stopping timer).
reportNano() Timing
Return elapsed time (without stopping timer).
reportNoun Dictionaries
reportNoun Dictionaries
reportNounEn WordLists
reportNounZh WordLists
reportVerb Dictionaries
reportVerb Dictionaries
reportVerbEn WordLists
reportVerbZh WordLists
reportWeights(LinearClassifier<String, String>, String) BasicRelationExtractor
representative CorefCluster
Return the most representative mention in the chain.
representative CorefCluster
Return the most representative mention in the chain.
REPRESENTATIVE_FIELD_NUMBER CoreNLPProtos.CorefChain
representativeness Dictionaries.MentionType
A higher representativeness means that this type of mention is more preferred for choosing
the representative mention.
representativeness Dictionaries.MentionType
A higher representativeness means that this type of mention is more preferred for choosing
the representative mention.
requiredOptions AbstractDataset
requirementsSatisfied() NaturalLogicAnnotator
Returns a set of requirements for which tasks this annotator can
provide.
requirementsSatisfied() OpenIE
Returns a set of requirements for which tasks this annotator can
provide.
requirementsSatisfied() ParagraphAnnotator
requirementsSatisfied() AnnotationPipeline
requirementsSatisfied() Annotator
Returns a set of requirements for which tasks this annotator can
provide.
requirementsSatisfied() ArabicSegmenterAnnotator
requirementsSatisfied() BinarizerAnnotator
requirementsSatisfied() CharniakParserAnnotator
requirementsSatisfied() ChineseSegmenterAnnotator
requirementsSatisfied() CleanXmlAnnotator
requirementsSatisfied() ColumnDataClassifierAnnotator
requirementsSatisfied() CorefAnnotator
requirementsSatisfied() CorefMentionAnnotator
requirementsSatisfied() DependencyParseAnnotator
requirementsSatisfied() DeterministicCorefAnnotator
requirementsSatisfied() EntityMentionsAnnotator
requirementsSatisfied() GenderAnnotator
requirementsSatisfied() KBPAnnotator
Returns a set of requirements for which tasks this annotator can
provide.
requirementsSatisfied() MorphaAnnotator
requirementsSatisfied() NERCombinerAnnotator
requirementsSatisfied() NumberAnnotator
requirementsSatisfied() ParserAnnotator
requirementsSatisfied() POSTaggerAnnotator
requirementsSatisfied() QuantifiableEntityNormalizingAnnotator
requirementsSatisfied() QuoteAnnotator
requirementsSatisfied() QuoteAttributionAnnotator
requirementsSatisfied() RegexNERAnnotator
requirementsSatisfied() RelationExtractorAnnotator
requirementsSatisfied() SentimentAnnotator
requirementsSatisfied() TokenizerAnnotator
requirementsSatisfied() TokensRegexAnnotator
requirementsSatisfied() TokensRegexNERAnnotator
requirementsSatisfied() TrueCaseAnnotator
requirementsSatisfied() UDFeatureAnnotator
requirementsSatisfied() WikidictAnnotator
Returns a set of requirements for which tasks this annotator can
provide.
requirementsSatisfied() WordsToSentencesAnnotator
requirementsSatisfied() ChapterAnnotator
requirementsSatisfied() GUTimeAnnotator
requirementsSatisfied() HeidelTimeAnnotator
requirementsSatisfied() TimeAnnotator
requires() NaturalLogicAnnotator
Returns the set of tasks which this annotator requires in order
to perform.
requires() OpenIE
Returns the set of tasks which this annotator requires in order
to perform.
requires() ParagraphAnnotator
requires() AnnotationPipeline
requires() Annotator
Returns the set of tasks which this annotator requires in order
to perform.
requires() ArabicSegmenterAnnotator
requires() BinarizerAnnotator
requires() CharniakParserAnnotator
requires() ChineseSegmenterAnnotator
requires() CleanXmlAnnotator
requires() ColumnDataClassifierAnnotator
requires() CorefAnnotator
requires() CorefMentionAnnotator
requires() DependencyParseAnnotator
requires() DeterministicCorefAnnotator
requires() EntityMentionsAnnotator
requires() GenderAnnotator
requires() KBPAnnotator
Returns the set of tasks which this annotator requires in order
to perform.
requires() MorphaAnnotator
requires() NERCombinerAnnotator
requires() NumberAnnotator
requires() ParserAnnotator
requires() POSTaggerAnnotator
requires() QuantifiableEntityNormalizingAnnotator
requires() QuoteAnnotator
requires() QuoteAttributionAnnotator
requires() RegexNERAnnotator
requires() RelationExtractorAnnotator
requires() SentimentAnnotator
requires() TokenizerAnnotator
requires() TokensRegexAnnotator
requires() TokensRegexNERAnnotator
requires() TrueCaseAnnotator
requires() UDFeatureAnnotator
requires() WikidictAnnotator
Returns the set of tasks which this annotator requires in order
to perform.
requires() WordsToSentencesAnnotator
requires() ChapterAnnotator
requires() GUTimeAnnotator
requires() HeidelTimeAnnotator
requires() TimeAnnotator
requiresTags() ParserGrammar
The model requires text to be pretagged
requiresTags() LexicalizedParser
requiresTags() ShiftReduceParser
reranker LexicalizedParser
Reranker edu.stanford.nlp.parser.lexparser
A scorer which the RerankingParserQuery can use to rescore
sentences.
rerankerKBest Options
If the parser has a reranker, it looks at this many trees when
building the reranked list.
RerankerQuery edu.stanford.nlp.parser.lexparser
Process a Tree and return a score.
rerankerQuery() RerankingParserQuery
RerankingParserQuery edu.stanford.nlp.parser.lexparser
Rerank trees from the ParserQuery based on scores from a Reranker.
RerankingParserQuery(Options, ParserQuery, Reranker) RerankingParserQuery
reroute(Object, Object) RedwoodConfiguration.Handlers
Rename a channel to be something else
RerouteChannel edu.stanford.nlp.util.logging
RerouteChannel(Object, Object) RerouteChannel
RES_VERB ChineseGrammaticalRelations
The "resultative complement" grammatical relation.
rescaleTemporaryBetas(TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) SplittingGrammarExtractor
reservedWords ATBTreeUtils
reset() CoNLLDocumentReader
reset() DocReader
reset() CoNLL2011DocumentReader
reset() ReaderInputStream
Resets the StringReader.
reset() SequenceMatcher
Clears matcher
- Clears matched groups, reset region to be entire sequence
reset() SemgrexMatcher
Resets the matcher so that its search starts over.
reset() AbstractEvaluate
reset() TregexMatcher
Resets the matcher so that its search starts over.
reset() JJTTsurgeonParserState
resetArguments() EventMention
resetDocs() DocumentMaker
resetDocs() ACEMentionExtractor
resetDocs() CoNLLMentionExtractor
resetDocs() MentionExtractor
Reset so that we start at the beginning of the document collection
resetDocs() MUCMentionExtractor
resetRoots() SemanticGraph
This method should not be used if possible.
ResettableReaderIteratorFactory edu.stanford.nlp.objectbank
Vends ReaderIterators which can always be rewound.
ResettableReaderIteratorFactory(Collection<?>) ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory from the input sources
contained in the Collection.
ResettableReaderIteratorFactory(Collection<?>, String) ResettableReaderIteratorFactory
ResettableReaderIteratorFactory(Object) ResettableReaderIteratorFactory
Convenience constructor to construct a ResettableReaderIteratorFactory
from a single input source.
ResettableReaderIteratorFactory(Object, String) ResettableReaderIteratorFactory
Convenience constructor to construct a ResettableReaderIteratorFactory
from a single input source.
ResettableReaderIteratorFactory() ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory with no initial
input sources.
resetVerticeOrdering(SemanticGraph) SemanticGraphUtils
Resets the indices for the vertices in the graph, using the current
ordering returned by vertexList (presumably in order).
resetWeight() LinearClassifierFactory
NOTE: Nothing is actually done with this value.
resolve(SUTime.Time, int) JollyDayHolidays.JollyHoliday
resolve(SUTime.Time, int) SUTime.CompositePartialTime
resolve(SUTime.Time, int) SUTime.Duration
resolve(SUTime.Time, int) SUTime.DurationWithFields
resolve(SUTime.Time, int) SUTime.ExplicitTemporalSet
resolve(SUTime.Time, int) SUTime.GroundedTime
resolve(SUTime.Time, int) SUTime.InexactTime
resolve(SUTime.Time, int) SUTime.OrdinalTime
resolve(SUTime.Time, int) SUTime.PartialTime
resolve(SUTime.Time, int) SUTime.PeriodicTemporalSet
resolve(SUTime.Time, int) SUTime.Range
resolve(SUTime.Time, int) SUTime.RefTime
resolve(SUTime.Time, int) SUTime.RelativeTime
resolve(SUTime.Time) SUTime.Temporal
resolve(SUTime.Time, int) SUTime.Temporal
resolve(SUTime.Time, int) SUTime.Time
resolve(SUTime.Time, int) SUTime.TimeWithRange
RESOLVE_NOW SUTime
RESOLVE_TO_CLOSEST SUTime
RESOLVE_TO_FUTURE SUTime
RESOLVE_TO_PAST SUTime
RESOLVE_TO_THIS SUTime
resolveAmbiguities(String) Sieve
resolveDowToDay(Partial, Partial) JodaTimeUtils
resolveDowToDay(Partial) JodaTimeUtils
resolveMention(Document, Dictionaries, Properties) Sieve
resolveVars(String, Map) StringUtils
Resolve variable.
resolveWeek(Partial, Partial) JodaTimeUtils
resolveWeek(Partial) JodaTimeUtils
restart() Timing
Restart timer.
restart(String, PrintStream) Timing
Print elapsed time and restart timer.
restart(String) Timing
Print elapsed time to System.err and restart timer.
restart(String, PrintWriter) Timing
Print elapsed time and restart timer.
restore(OutputStream) RedwoodConfiguration
restoreOriginalWords(Tree) ParserQuery
restoreOriginalWords(Tree) LexicalizedParserQuery
restoreOriginalWords(Tree) RerankingParserQuery
restoreOriginalWords(Tree) ShiftReduceParserQuery
TODO: clearly this should be a default method in ParserQuery once Java 8 comes out
restoreSystemStreams() Redwood
Restores System.out and System.err to their original values
restrictedArgMax(Counter<E>, Collection<E>) Counters
restrictLabels SeqClassifierFlags
restrictToMatched ConstantsAndVariables
Currently, does not work correctly.
restrictTransitionsTimit SeqClassifierFlags
result SequenceMatchRules.AnnotationExtractRule
resultAnnotationExtractor MatchedExpression.SingleAnnotationExtractor
resultAnnotationField MatchedExpression.SingleAnnotationExtractor
resultAnnotationField SequenceMatchRules.AnnotationExtractRule
Annotation field(s) to put new annotation
RESULTATIVE_COMPLEMENT UniversalChineseGrammaticalRelations
The "resultative complement" grammatical relation.
resultNestedAnnotationField MatchedExpression.SingleAnnotationExtractor
resultNestedAnnotationField SequenceMatchRules.AnnotationExtractRule
Annotation field for child/nested annotations
ResultsPrinter edu.stanford.nlp.ie.machinereading
Class for comparing the output of information extraction to a gold standard, and printing the results.
ResultsPrinter() ResultsPrinter
ResultStoringFloatMonitor edu.stanford.nlp.optimization
ResultStoringFloatMonitor(int, String) ResultStoringFloatMonitor
ResultStoringMonitor edu.stanford.nlp.optimization
ResultStoringMonitor(int, String) ResultStoringMonitor
resultTypeName ValueFunctions.BooleanFunction
resultTypeName ValueFunctions.NumericFunction
resultTypeName ValueFunctions.StringFunction
retainAbove(Counter<E>, double) Counters
Removes all entries with counts below the given threshold, returning the
set of removed entries.
retainAbove(TwoDimensionalCounter<E1, E2>, double) Counters
Removes all entries with counts below the given threshold, returning the
set of removed entries.
retainAll(Collection<?>) PhraseTable.PhraseStringCollection
retainAll(Collection<?>) ObjectBank
Unsupported Operation.
retainAll(Collection<?>) ReaderIteratorFactory
Removes all Objects from the underlying Collection of input sources
except those in Collection c
retainAll(Collection<?>) ObjectBankWrapper
retainAll(Collection<E>, Predicate<? super E>) Filters
Removes all elements in the given Collection that aren't accepted by the given Filter.
retainAll(Collection<?>) IntervalTree
retainAll(Collection<?>) MaxSizeConcurrentHashSet
retainAll(Set<K1>) TwoDimensionalCollectionValuedMap
retainBelow(Counter<E>, double) Counters
Removes all entries with counts above the given threshold, returning the
set of removed entries.
retainBottom(Counter<E>, int) Counters
Removes all entries from c except for the bottom num.
retainEntitySubclassification SeqClassifierFlags
retainFeatures(Set<F>) GeneralDataset
Retains the given features in the Dataset.
retainKeys(Counter<E>, Collection<E>) Counters
Removes all entries with keys that does not match the given set of keys.
retainKeys(Counter<E>, Predicate<E>) Counters
retainMatchingKeys(Counter<String>, List<Pattern>) Counters
Removes all entries with keys that does not match one of the given patterns.
retainNonZeros(Counter<E>) Counters
Removes all entries with 0 count in the counter, returning the set of
removed entries.
retainTop(Counter<E>, int) Counters
Removes all entries from c except for the top num.
retainTopKeyComparable(Counter<E>, int) Counters
Removes all entries from c except for the top num.
retainTopMass(Counter<E>, double) Counters
Retains the minimal set of top keys such that their count sum is more than thresholdCount.
retrain(ObjectBank<List<IN>>, Index<String>, Index<String>) CMMClassifier
retrain(ObjectBank<List<IN>>) CMMClassifier
retrainAfterCutoff ShiftReduceTrainOptions
If we cut off features with featureFrequencyCutoff, this retrains with only the existing features
returnLastFoundSequence SequenceGibbsSampler
returnPreviousValues AbstractStochasticCachingDiffFunction
reverse(int[]) ArrayMath
reverse(List<A>) OutsideRuleFilter
reverse(Comparator<? super T>) Comparators
Returns a new Comparator which is the reverse of the
given Comparator.
REVERSE_ENTAILMENT_VALUE CoreNLPProtos.NaturalLogicRelation
REVERSE_ENTAILMENT = 2;
reverseIndexOrder(TwoDimensionalCounter<K1, K2>) TwoDimensionalCounter
Produces a new ConditionalCounter.
reverseIndexOrder(TwoDimensionalIntCounter<K1, K2>) TwoDimensionalIntCounter
Produces a new ConditionalCounter.
reverseKeys() GeneralizedCounter
revert(int) TestSentence
RewriteSymbol IOBUtils
RewriteTahSymbol IOBUtils
RewriteTareefSymbol IOBUtils
RewrittenArabicAnnotation() ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation
rf RFSieve
rf MentionDetectionClassifier
RFSieve edu.stanford.nlp.coref.hybrid.sieve
RFSieve(RandomForest, Properties, String) RFSieve
rif ObjectBank
RIGHT IntDependency
RIGHT_PARENTHESIS SpanishTreeNormalizer
rightAccepting(boolean[]) OutsideRuleFilter
rightCharEdge(Tree) Tree
Returns the positional index of the right edge of node within the tree,
as measured by characters.
rightChild BinaryRule
rightContext() Extractor
rightEdge(Tree, Tree) Trees
Returns the positional index of the right edge of a tree
t within a given root, as defined by the size of the yield
of all material preceding t plus all the material
contained in t .
rightEdgeUnsafe(Tree, Tree) Trees
Returns the positional index of the right edge of a tree
t within a given root, as defined by the size of the yield
of all material preceding t plus all the material
contained in t .
rightMessage() Clique
rightPhrasal EnglishTreebankParserParams.EnglishTrain
Right edge has a phrasal node.
rightRec TrainOptions
Right edge is right-recursive (X << X) Bad.
rightRotate(IntervalTree.TreeNode<E, T>) IntervalTree
rightSisterLabels(Tree, Tree) SisterAnnotationStats
string-value labels of right sisters; from inside to outside (left-right)
rightWindow() CRFCliqueTree
rightWindow() TestSequenceModel
rightWindow() EntityCachingAbstractSequencePriorBIO
rightWindow() FactoredSequenceModel
How many label positions to the right influence the label assignment
at a particular position.
rightWindow() SequenceModel
How many label positions to the right influence the label assignment
at a particular position.
rightWindow() TestSentence
risk() SimpleLinearClassifier
RNNCoreAnnotations edu.stanford.nlp.neural.rnn
Annotations used by Tree Recursive Neural Networks.
RNNCoreAnnotations.GoldClass edu.stanford.nlp.neural.rnn
The index of the correct class.
RNNCoreAnnotations.NodeVector edu.stanford.nlp.neural.rnn
Used to denote the vector (distributed representation) at a particular node.
RNNCoreAnnotations.PredictedClass edu.stanford.nlp.neural.rnn
Get the argmax of the class predictions.
RNNCoreAnnotations.PredictionError edu.stanford.nlp.neural.rnn
RNNCoreAnnotations.Predictions edu.stanford.nlp.neural.rnn
Used to denote a vector of predictions at a particular node.
RNNOptions edu.stanford.nlp.sentiment
RNNOptions() RNNOptions
RNNTestOptions edu.stanford.nlp.sentiment
Evaluation-only options for the RNN models
RNNTestOptions() RNNTestOptions
RNNTrainOptions edu.stanford.nlp.sentiment
RNNTrainOptions() RNNTrainOptions
rNum EvalUtils.AbstractEvaluator
RobustTokenizer T extends Word > - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
RobustTokenizer(String) RobustTokenizer
RobustTokenizer(boolean, String) RobustTokenizer
RobustTokenizer.AbbreviationMap edu.stanford.nlp.ie.machinereading.domains.ace.reader
RobustTokenizer.WordToken edu.stanford.nlp.ie.machinereading.domains.ace.reader
RoleAnnotation() CoreAnnotations.RoleAnnotation
roleSet Document
Set of roles (in role apposition) in a document
roleSet Document
Set of roles (in role apposition) in a document
root DecisionTree
ROOT Config
Root token string.
ROOT GrammaticalRelation
The "root" grammatical relation between a faked "ROOT" node, and the root of the sentence.
root() GrammaticalStructure
Return the root Tree of this GrammaticalStructure.
ROOT_FIELD_NUMBER CoreNLPProtos.DependencyGraph
ROOT_FIELD_NUMBER CoreNLPProtos.SentenceFragment
rootHandler() Redwood
rootLabel ParsingSystem
Dependency label used between root of sentence and ROOT node
rootLabelOnlyFormat TreePrint
rootNameNode Sieve
rootNode() JJTTsurgeonParserState
rootSymbol() NegraPennTreeNormalizer
rootSymbol() TueBaDZPennTreeNormalizer
rootTW(IntTaggedWord) AbstractDependencyGrammar
rotateUp(IntervalTree.TreeNode<E, T>, IntervalTree.TreeNode<E, T>) IntervalTree
RothCONLL04Reader edu.stanford.nlp.ie.machinereading.domains.roth
A Reader designed for the relation extraction data studied in Dan Roth and Wen-tau Yih,
A Linear Programming Formulation for Global Inference in Natural Language Tasks.
RothCONLL04Reader() RothCONLL04Reader
RothEntityExtractor edu.stanford.nlp.ie.machinereading.domains.roth
RothEntityExtractor() RothEntityExtractor
round(double) SloppyMath
Round a double to the nearest integer, via conventional rules
(.5 rounds up, .49 rounds down), and return the result, still as a double.
round(double, int) SloppyMath
Round a double to the given number of decimal places,
rounding to the nearest value via conventional rules (5 rounds up, 49
rounds down).
RRB RobustTokenizer
Rule(Env) TokenSequenceParser
Rule edu.stanford.nlp.parser.lexparser
Interface for int-format grammar rules.
RuleBasedCorefMentionFinder edu.stanford.nlp.coref.md
RuleBasedCorefMentionFinder(HeadFinder, Properties) RuleBasedCorefMentionFinder
RuleBasedCorefMentionFinder(boolean, HeadFinder, Locale) RuleBasedCorefMentionFinder
RuleBasedCorefMentionFinder edu.stanford.nlp.dcoref
RuleBasedCorefMentionFinder() RuleBasedCorefMentionFinder
RuleBasedCorefMentionFinder(boolean) RuleBasedCorefMentionFinder
ruleDiscount TrainOptions
Discounts the count of BinaryRule's (only, apparently) in training data.
RuleErrorEval(String) AbstractEval.RuleErrorEval
ruleIterator() UnaryGrammar
ruleIteratorByChild(int) UnaryGrammar
ruleIteratorByLeftChild(int) BinaryGrammar
ruleIteratorByParent(int) BinaryGrammar
ruleIteratorByParent(int) UnaryGrammar
ruleIteratorByRightChild(int) BinaryGrammar
ruleIteratorByWord(String, int) BaseLexicon
Returns the possible POS taggings for a word.
ruleIteratorByWord(int, int, String) BaseLexicon
Generate the possible taggings for a word at a sentence position.
ruleIteratorByWord(String, int, String) BaseLexicon
ruleIteratorByWord(int, int, String) ChineseCharacterBasedLexicon
ruleIteratorByWord(String, int, String) ChineseCharacterBasedLexicon
ruleIteratorByWord(int, int, String) ChineseLexiconAndWordSegmenter
ruleIteratorByWord(String, int, String) ChineseLexiconAndWordSegmenter
ruleIteratorByWord(int, int, String) FactoredLexicon
Rule table is lemmas.
ruleIteratorByWord(int, int, String) Lexicon
Get an iterator over all rules (pairs of (word, POS)) for this word.
ruleIteratorByWord(String, int, String) Lexicon
Same thing, but with a string that needs to be translated by the
lexicon's word index
RuleList(Env) TokenSequenceParser
ruleList() SequenceMatchRules.ListExtractRule
ruleListByLeftChild(int) BinaryGrammar
ruleListByParent(int) BinaryGrammar
ruleListByRightChild(int) BinaryGrammar
Rules edu.stanford.nlp.dcoref
Rules for coref system (mention detection, entity coref, event coref)
The name of the method for mention detection starts with detection,
for entity coref starts with entity, and for event coref starts with event.
Rules() Rules
rules() BinaryGrammar
rules() UnaryGrammar
rulesByChild(int) UnaryGrammar
rulesByParent(int) UnaryGrammar
ruleSmoothing TrainOptions
Enables linear rule smoothing during grammar extraction
but before grammar compaction.
ruleSmoothingAlpha TrainOptions
rulesWithParent() UnaryGrammar
rulesWithWord BaseLexicon
An array of Lists of rules (IntTaggedWord), indexed by word.
ruleType SequenceMatchRules.AnnotationExtractRule
Type of rule to apply: token string match, pattern string match
run(Properties, Dictionaries) CorefDocumentProcessor
run(DocumentMaker) CorefDocumentProcessor
run() MachineReading
Performs extraction.
run() NERServer
Runs this named entity recognizer server.
run(Properties) GetPatternsFromDataMultiClass
Execute the system give a properties file or object.
run() StanfordCoreNLP
run(boolean) StanfordCoreNLP
run() StanfordCoreNLPClient
The implementation of what to run on a command-line call of CoreNLPWebClient
run() StanfordCoreNLPServer
run(Optional<Pair<String, String>>, Predicate<Properties>, Consumer<StanfordCoreNLPServer.FinishedRequest>, StanfordCoreNLPServer.FileHandler, boolean, AtomicBoolean) StanfordCoreNLPServer
Run the server.
run() MaxentTaggerServer
Runs this tagger server.
run() ByteStreamGobbler
run() MemoryMonitor.PeakMemoryMonitor
run() StreamGobbler
run(ProcessBuilder) SystemUtils
Start the process defined by the ProcessBuilder, and run until complete.
run(ProcessBuilder, Writer, Writer) SystemUtils
Start the process defined by the ProcessBuilder, and run until complete.
RUN_DIST_CMD_PROP Constants
RUN_DIST_CMD_WORK_DIR Constants
runAndScoreCoref(SieveCoreferenceSystem, MentionExtractor, Properties, String) SieveCoreferenceSystem
runAndScoreCorefDist(String, Properties, String) SieveCoreferenceSystem
Run and score coref distributed
runCharniak(int, String, String, String) CharniakParser
runConllEval(String, String, String, String, String) SieveCoreferenceSystem
runCoref(Document) CorefAlgorithm
runCoref(String[]) HybridCorefSystem
runCoref(Properties) HybridCorefSystem
runCoref(Document) HybridCorefSystem
runCoref(Document) NeuralCorefAlgorithm
runCoref(Document) ClusteringCorefAlgorithm
runCoref(Document) StatisticalCorefAlgorithm
runFromScratch(Properties, Dictionaries) CorefDocumentProcessor
runGradientCheck(List<Tree>, IdentityHashMap<Tree, byte[]>) DVParser
runGradientCheck(SentimentModel, List<Tree>) SentimentTraining
runLabelSeedWords(Map<String, DataInstance>, Class, String, Collection<CandidatePhrase>, ConstantsAndVariables, boolean) GetPatternsFromDataMultiClass
Warning: sets labels of words that are not in the given seed set as O!!!
runningAverages AbstractEval
runOnConll(Properties) CorefSystem
runPOSNEROnTokens(List<CoreMap>, String, boolean, String, boolean, String, PatternFactory.PatternType) GetPatternsFromDataMultiClass
runPOSNERParseOnTokens(Map<String, DataInstance>, Properties) GetPatternsFromDataMultiClass
runShellCommand(String[], StringBuilder, StringBuilder) SystemUtils
Runs the shell command which is specified, along with its arguments, in the
given String array.
runShellCommand(String[], File, StringBuilder, StringBuilder) SystemUtils
Runs the shell command which is specified, along with its arguments, in the
given String array.
runShellCommand(String, StringBuilder, StringBuilder) SystemUtils
Runs the shell command which is specified, along with its arguments, in the
given String.
runShellCommand(String[], StringBuilder) SystemUtils
Runs the shell command which is specified, along with its arguments, in the
given String array.
runShellCommand(String, StringBuilder) SystemUtils
Runs the shell command which is specified, along with its arguments, in the
given String.
runShellCommand(String[]) SystemUtils
Runs the shell command which is specified, along with its arguments, in the
given String array.
runShellCommand(String) SystemUtils
Runs the shell command which is specified, along with its arguments, in the
given String.
runTagger(Iterable<List<X>>, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) MaxentTagger
runTagger(BufferedReader, BufferedWriter, String, PlainTextDocumentReaderAndWriter.OutputStyle) MaxentTagger
This method runs the tagger on the provided reader and writer.
runTaggerSGML(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) MaxentTagger
runTaggerStdin(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) MaxentTagger
runTestSet(List<List<CoreLabel>>) BasicEntityExtractor
This should be called after the classifier has been trained and
parseAndTrain has been called to accumulate test set
This will return precision,recall and F1 measure
runtimeException(Object...) Redwood.Util
RuntimeInterruptedException edu.stanford.nlp.util
RuntimeInterruptedException() RuntimeInterruptedException
RuntimeInterruptedException(InterruptedException) RuntimeInterruptedException
RuntimeIOException edu.stanford.nlp.io
RuntimeIOException() RuntimeIOException
Creates a new exception.
RuntimeIOException(String) RuntimeIOException
Creates a new exception with a message.
RuntimeIOException(Throwable) RuntimeIOException
Creates a new exception with an embedded cause.
RuntimeIOException(String, Throwable) RuntimeIOException
Creates a new exception with a message and an embedded cause.
rvfcalculate(double[]) AdaptedGaussianPriorObjectiveFunction
rvfcalculate(double[]) LogConditionalObjectiveFunction
Calculate conditional likelihood for datasets with real-valued features.
RVFClassifier L ,F > - Interface in edu.stanford.nlp.classify
A simple interface for classifying and scoring data points with
real-valued features.
RVFDataset L ,F > - Class in edu.stanford.nlp.classify
RVFDataset() RVFDataset
RVFDataset(int, Index<F>, Index<L>) RVFDataset
RVFDataset(Index<F>, Index<L>) RVFDataset
RVFDataset(int) RVFDataset
RVFDataset(Index<L>, int[], Index<F>, int[][], double[][]) RVFDataset
Constructor that fully specifies a Dataset.
RVFDatum L ,F > - Class in edu.stanford.nlp.ling
A basic implementation of the Datum interface that can be constructed with a
Collection of features and one more more labels.
RVFDatum(Counter<F>, L) RVFDatum
Constructs a new RVFDatum with the given features and label.
RVFDatum(Datum<L, F>) RVFDatum
Constructs a new RVFDatum taking the data from a Datum.
RVFDatum(Counter<F>) RVFDatum
Constructs a new RVFDatum with the given features and no labels.
RVFDatum() RVFDatum
Constructs a new RVFDatum with no features or labels.
s StringParsingTask
safeCompile(String, boolean) TregexPattern
Creates a pattern from the given string using the default HeadFinder and
BasicCategoryFunction.
safeMax(double[]) ArrayMath
Returns the largest value in a vector of doubles.
safeMean(double[]) ArrayMath
Returns the mean of a vector of doubles.
safeMin(double[]) ArrayMath
Returns the smallest value in a vector of doubles.
saferL2Norm(C) Counters
For counters with large # of entries, this scales down each entry in the
sum, to prevent an extremely large sum from building up and overwhelming
the max double.
saferL2Normalize(C) Counters
L2 normalize a counter, using the "safer" L2 normalizer.
safeStdev(double[]) ArrayMath
Returns the standard deviation of a vector of doubles.
saidMemMessage() ParserQuery
saidMemMessage() LexicalizedParserQuery
saidMemMessage() RerankingParserQuery
saidMemMessage() ShiftReduceParserQuery
sameChunk(int, int) AceDocument
Verifies if the two tokens are part of the same chunk
sameEntityWithoutLinking(CoreEntityMention, CoreEntityMention) KBPBasicSpanishCorefSystem
sameGenre(DepPattern, DepPattern) DepPattern
sameGenre(PatternFactory.PatternType, Pattern, Pattern) Pattern
sameGenre(SurfacePattern, SurfacePattern) SurfacePattern
sameInnerList(PaddedList<E>) PaddedList
Returns true if this PaddedList and another are wrapping the
same list.
sameLength(SurfacePattern, SurfacePattern) SurfacePattern
sameRestrictions(SurfacePattern, SurfacePattern) SurfacePattern
sameSentence(Mention) Mention
sameSentence(Mention) Mention
sample TestOptions
Used when you want to generate sample parses instead of finding the best
parse.
sample(Counter<T>, Random) Counters
Does not assumes c is normalized.
sample(Counter<T>) Counters
Does not assumes c is normalized.
sample(List<E>, Random) CollectionUtils
sample(Iterable<T>, int, int, Random) Iterables
Sample k items uniformly from an Iterable of size n (without replacement).
sampleDataset(long, double, boolean) GeneralDataset
sampleFrom(String) ChineseCharacterBasedLexicon
Samples from the distribution over words with this POS according to the lexicon.
sampleFrom() ChineseCharacterBasedLexicon
Samples over words regardless of POS: first samples POS, then samples
word according to that POS
sampleFrom() Distribution
Returns an object sampled from the distribution using Math.random().
sampleFrom(Random) Distribution
Returns an object sampled from the distribution using a self-provided
random number generator.
sampleFromDistribution(double[]) ArrayMath
Samples from the distribution over values 0 through d.length given by d.
sampleFromDistribution(double[], Random) ArrayMath
Samples from the distribution over values 0 through d.length given by d.
sampleFromDistribution(float[], Random) ArrayMath
Samples from the distribution over values 0 through d.length given by d.
sampleMethod AbstractStochasticCachingDiffFunction
samplePosition(SequenceModel, int[], int) SequenceGibbsSampler
Samples a single position in the sequence.
samplePosition(SequenceModel, int[], int, double) SequenceGibbsSampler
Samples a single position in the sequence.
Sampler T > - Interface in edu.stanford.nlp.stats
An interace for drawing samples from the label
space of an object.
sampleSequenceBackward(SequenceModel, int[]) SequenceGibbsSampler
Samples the complete sequence once in the backward direction
Destructively modifies the sequence in place.
sampleSequenceBackward(SequenceModel, int[], double) SequenceGibbsSampler
Samples the complete sequence once in the backward direction
Destructively modifies the sequence in place.
sampleSequenceForward(SequenceModel, int[]) SequenceGibbsSampler
Samples the complete sequence once in the forward direction
Destructively modifies the sequence in place.
sampleSequenceForward(SequenceModel, int[], double, Set<Integer>) SequenceGibbsSampler
Samples the complete sequence once in the forward direction
Destructively modifies the sequence in place.
sampleSequenceRepeatedly(SequenceModel, int[], int) SequenceGibbsSampler
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
sampleSequenceRepeatedly(SequenceModel, int) SequenceGibbsSampler
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
sampleUniformPathFromGraph() TransducerGraph
for testing only.
sampleWithoutReplacement(int[], int) ArrayMath
Fills the array with sample from 0 to numArgClasses-1 without replacement.
sampleWithoutReplacement(int[], int, Random) ArrayMath
Fills the array with sample from 0 to numArgClasses-1 without replacement.
sampleWithoutReplacement(Collection<E>, int) CollectionUtils
Samples without replacement from a collection.
sampleWithoutReplacement(Collection<E>, int, Random) CollectionUtils
Samples without replacement from a collection, using your own
Random number generator.
sampleWithReplacement(Collection<E>, int) CollectionUtils
Samples with replacement from a collection.
sampleWithReplacement(Collection<E>, int, Random) CollectionUtils
Samples with replacement from a collection, using your own
Random
number generator.
samplingSpeedUpThreshold SeqClassifierFlags
sanitizeForSemgrexName(String) SemanticGraphUtils
Sanitizes the given string into a Semgrex friendly name
SATURDAY SUTime
save(String) BasicEntityExtractor
save(String) BasicRelationExtractor
save(String, String, int) StringDictionary
Saves all dictionary entries that appeared > threshold times Note: feature
indices are changed to contiguous values starting at 0.
save(String) Extractor
Serializes this extractor to a file
save(String) ExtractorMerger
save(DataOutputStream) WordTag
save(String) PatternsForEachToken
save(String) PatternsForEachTokenDB
save(String) PatternsForEachTokenInMemory
save(DataOutputStream) CountWrapper
save(DataOutputStream) FeatureKey
save(String, Map<String, Set<String>>) TTags
save(DataOutputStream, Map<String, Set<String>>) TTags
save(DataOutputStream) Pair
Write a string representation of a Pair to a DataStream.
save2DCounter(TwoDimensionalCounter<T1, T2>, String) Counters
save2DCounterSorted(TwoDimensionalCounterInterface<T1, T2>, String) Counters
save_lambdas(String) LambdaSolve
Writes the lambda feature weights to the file.
save_lambdas(DataOutputStream, double[]) LambdaSolve
Writes the lambdas to a stream.
saveConfig(OutputStream) TaggerConfig
Serialize the TaggerConfig.
saveCoNLL(PrintStream, List<List<CoreLabel>>, boolean) BasicEntityExtractor
saveCoNLLFiles(String, Annotation, boolean, boolean) BasicEntityExtractor
saveCorefChain(PrintWriter, int, CorefChain) CustomAnnotationSerializer
Serializes one coref cluster (i.e., one entity).
saveCounter(Counter<E>, OutputStream) Counters
Saves a Counter as one key/count pair per line separated by white space to
the given OutputStream.
saveCounter(Counter<E>, String) Counters
Saves a Counter to a text file.
saveDoubleArr(DataOutputStream, double[]) ConvertByteArray
SavedState() CrossValidator.SavedState
saveFeatureIndexToDisk SeqClassifierFlags
saveFile(File, String) NERGUI
saveFloatArr(DataOutputStream, float[]) ConvertByteArray
saveIndex(String) InvertedIndexByTokens
saveIndex(String) SentenceIndex
saveIntermediate Config
Save an intermediate model file whenever we see an improved UAS
evaluation.
saveIntermediateModels ShiftReduceTrainOptions
Saves intermediate models, but that takes up a lot of space
saveInvertedIndex ConstantsAndVariables
You can save the inverted index.
saveModel(String) DVParser
saveModel(String) ShiftReduceParser
saveModel(String) MaxentTagger
saveModel(DataOutputStream) MaxentTagger
saveOutput CmdEvaluator
saveOutput() ParserPanel
Opens a dialog and saves the output of the parser on the current
text.
saveOutput(String) ParserPanel
Saves the results of applying the parser to the current text to
the specified filename.
saveParserToSerialized(String) LexicalizedParser
Saves the parser defined by pd to the given filename.
saveParserToTextFile(String) LexicalizedParser
Saves the parser defined by pd to the given filename.
savePatternsWordsDir ConstantsAndVariables
saveProcessedData(List<?>, String) CRFClassifier
saveSerialized(String) SentimentModel
saveToFilename(String) LinearClassifier
Saves this out to a standard text file, instead of as a serialized Java object.
saveToFilename(String) ConcurrentHashIndex
saveToFilename(String) DeltaIndex
saveToFilename(String) HashIndex
saveToFilename(String) Index
Save the contents of this index into a file.
saveToWriter(Writer) ConcurrentHashIndex
saveToWriter(Writer) DeltaIndex
saveToWriter(Writer) HashIndex
This saves the contents of this index into string form, as part of a larger
text-serialization.
saveToWriter(Writer) Index
Save the contents of this index into string form, as part of a larger
text-serialization.
saveTrees(Collection<Tree>, double, Collection<Tree>, double) SplittingGrammarExtractor
saveUntaggedContents(File) NERGUI
SAXInterface() TransformXML.SAXInterface
say(String) SGDWithAdaGradAndFOBOS
say(String) StochasticMinimizer
sayln(String) SGDMinimizer
sayln(String) SGDWithAdaGradAndFOBOS
sayln(String) StochasticMinimizer
scale UnitPrefix
scale(double) SimpleTensor
Returns a new tensor which has the values of the original tensor
scaled by scaling.
scale(C, double) Counters
Returns a new Counter which is scaled by the given scale factor.
scale(TwoDimensionalCounter<T1, T2>, double) Counters
Creates a new TwoDimensionalCounter where all the counts are scaled by d.
scaleDataset(RVFDataset<L, F>) RVFDataset
Scales the values of each feature in each linearly using the min and max
values found in the training set.
scaleDatasetGaussian(RVFDataset<L, F>) RVFDataset
scaleDatum(RVFDatum<L, F>) RVFDataset
Scales the values of each feature linearly using the min and max values
found in the training set.
scaleDatumGaussian(RVFDatum<L, F>) RVFDataset
scaledSGDMethod SeqClassifierFlags
ScaledSGDMinimizer Q extends AbstractStochasticCachingDiffFunction > - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent To Quasi Newton Minimizer.
ScaledSGDMinimizer(double, int, int) ScaledSGDMinimizer
ScaledSGDMinimizer(double, int, int, int) ScaledSGDMinimizer
ScaledSGDMinimizer(double, int, int, int, boolean) ScaledSGDMinimizer
ScaledSGDMinimizer(double, int) ScaledSGDMinimizer
ScaledSGDMinimizer.Weights edu.stanford.nlp.optimization
scaleFeatures() RVFDataset
Scales feature values linearly such that each feature value lies between 0
and 1.
scaleFeaturesGaussian() RVFDataset
scaleUp AbstractStochasticCachingDiffFunction
scaleUp(boolean) AbstractStochasticCachingDiffFunction
scaleWeights(double) CRFClassifier
Scales the weights of this CRFClassifier by the specified weight.
scaling(double[][], double, double) Util
Normalize word embeddings by setting mean = rMean, std = rStd
scaling(double[][]) Util
Normalize word embeddings by setting mean = 0, std = 1
scalingForInit TrainOptions
How much to scale certain parameters when initializing models.
scalingForInit RNNTrainOptions
scanForAnimates(Pair<Integer, Integer>) Sieve
scanForNames(Pair<Integer, Integer>) Sieve
scanForNamesNew(Pair<Integer, Integer>) Sieve
scanForPronouns(Pair<Integer, Integer>) Sieve
scanForPronouns(ArrayList<Pair<Integer, Integer>>) Sieve
score() DFSA
score DFSAState
score() DFSAState
score() DFSATransition
score() BasicSequenceMatchResult
score() SequenceMatchResult
score SentenceFragment
A score for this fragment.
score(Tree) DVModelReranker.Query
score(Tree, IdentityHashMap<Tree, SimpleMatrix>) DVParserCostAndGradient
score(IntDependency) AbstractDependencyGrammar
score(int, int, int, int, boolean, int) AbstractDependencyGrammar
score(IntTaggedWord, int, double, double, double, String) ArabicUnknownWordModel
score(IntTaggedWord, int, String, String) BaseLexicon
Get the score of this word with this tag (as an IntTaggedWord) at this
location.
score(IntTaggedWord, int, double, double, double, String) BaseUnknownWordModel
Currently we don't consider loc or the other parameters in determining
score in the default implementation; only English uses them.
score(IntTaggedWord, String) BaseUnknownWordModel
score BinaryRule
Score should be a log probability
score() BinaryRule
score(IntTaggedWord, int, String, String) ChineseCharacterBasedLexicon
score(IntTaggedWord, int, String, String) ChineseLexicon
score(IntTaggedWord, int, String, String) ChineseLexiconAndWordSegmenter
score(IntTaggedWord, String) ChineseUnknownWordModel
score(IntDependency) DependencyGrammar
Score a IntDependency according to the grammar.
score(int, int, int, int, boolean, int) DependencyGrammar
Score a dependency according to the grammar, where the elements of the
dependency are represented in separate paramters.
score(IntTaggedWord, int, double, double, double, String) EnglishUnknownWordModel
score(IntTaggedWord, int, String, String) FactoredLexicon
score(IntTaggedWord, int, double, double, double, String) FrenchUnknownWordModel
score(IntTaggedWord, String) GermanUnknownWordModel
Calculate the log-prob score of a particular TaggedWord in the
unknown word model.
score() Item
score(IntTaggedWord, int, String, String) Lexicon
Get the score of this word with this tag (as an IntTaggedWord) at this
loc.
score(Tree) RerankerQuery
score() Rule
score(IntTaggedWord, int, double, double, double, String) SpanishUnknownWordModel
score UnaryRule
Score should be a log probability
score() UnaryRule
score(IntTaggedWord, int, double, double, double, String) UnknownWordModel
Get the score of this word with this tag (as an IntTaggedWord) at this
location loc in a sentence.
score() State
score(float[]) Weight
score() ScorePatterns
score() ScorePatternsFreqBased
score() ScorePatternsRatioModifiedFreq
score() ScorePatternsF1
score Alignment
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) AccuracyStats
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) MultiClassAccuracyStats
score() MultiClassAccuracyStats
score(Classifier<L, F>, GeneralDataset<L, F>) MultiClassPrecisionRecallExtendedStats
score(List<L>, List<L>, Index<L>) MultiClassPrecisionRecallExtendedStats
Returns the score (F1) for the given list of guesses
score(List<L>, List<L>) MultiClassPrecisionRecallExtendedStats
Returns the score (F1) for the given list of guesses
score() MultiClassPrecisionRecallExtendedStats
score(String, String) MultiClassPrecisionRecallExtendedStats
score(String, String, String) MultiClassPrecisionRecallExtendedStats
score(BufferedReader, String) MultiClassPrecisionRecallExtendedStats
score(BufferedReader, String, String) MultiClassPrecisionRecallExtendedStats
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) MultiClassPrecisionRecallStats
score(Classifier<L, F>, GeneralDataset<L, F>) MultiClassPrecisionRecallStats
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) Scorer
score() Constituent
access score
score(List<Collection<TypedDependency>>) DependencyScoring
Score system typed dependencies
Score(int, int, int, int, int, int, int, int, ClassicCounter<String>, ClassicCounter<String>) DependencyScoring.Score
score() LabeledScoredConstituent
Returns the score associated with the current node, or Nan
if there is no score
score() LabeledScoredTreeNode
Returns the score associated with the current node, or Nan
if there is no score
score() Tree
Returns the score associated with the current node, or NaN
if there is no score.
score EditDistance
score(Object[], Object[]) EditDistance
score(String, String) EditDistance
score() Scored
score() ScoredObject
SCORE_COMPARATOR SequenceMatchResult
SCORE_FIELD_NUMBER CoreNLPProtos.ParseTree
SCORE_FIELD_NUMBER CoreNLPProtos.SentenceFragment
SCORE_FILE_PROP Constants
SCORE_PROP Constants
scoreAll(Collection<IntDependency>) MLEDependencyGrammar
scoreBestMentionNew(SupervisedSieveTraining.FeaturesData, Annotation) ExtractQuotesClassifier
scoreBinarizedTree(Tree, int) ExhaustivePCFGParser
Scored edu.stanford.nlp.util
Scored: This is a simple interface that says that an object can answer
requests for the score, or goodness of the object.
ScoredComparator edu.stanford.nlp.util
ScoredComparator allows one to compare Scored things.
scoreDependencies() BiLexPCFGParser
ScoredObject T > - Class in edu.stanford.nlp.util
Wrapper class for holding a scored object.
ScoredObject(T, double) ScoredObject
ScoreEval(String, boolean) AbstractEval.ScoreEval
scoreGT(String) BaseUnknownWordModel
scoreNonBinarizedTree(Tree) ExhaustivePCFGParser
scoreOf(Datum<L, F>, L) LinearClassifier
Returns of the score of the Datum for the specified label.
scoreOf(Collection<F>) LogisticClassifier
scoreOf(Counter<F>) LogisticClassifier
scoreOf(int[], int) CRFCliqueTree
scoreOf(int[]) CRFCliqueTree
Returns the log probability of this sequence given the CRF.
scoreOf(int[], int) TestSequenceModel
Return the score of the proposed tags for position given.
scoreOf(int[]) TestSequenceModel
scoreOf(int[]) EmpiricalNERPriorBIO
scoreOf(int[], int) EntityCachingAbstractSequencePriorBIO
scoreOf(int[], int) FactoredSequenceModel
Computes the score of the element at the given position in the sequence,
conditioned on the values of the elements in all other positions of the
provided sequence.
scoreOf(int[]) FactoredSequenceModel
Computes the score assigned by this model to the whole sequence.
scoreOf(int[]) SequenceModel
Computes the score assigned by this model to the whole sequence.
scoreOf(int[], int) SequenceModel
Computes the score of the element at the given position in the sequence,
conditioned on the values of the elements in all other positions of the
provided sequence.
scoreOf(int[], int) TestSentence
scoreOf(int[]) TestSentence
ScorePatterns E > - Class in edu.stanford.nlp.patterns
ScorePatterns(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, Properties) ScorePatterns
ScorePatternsF1 E > - Class in edu.stanford.nlp.patterns.surface
Used if patternScoring flag is set to F1 with the seed pattern.
ScorePatternsF1(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, Properties, Counter<CandidatePhrase>, E) ScorePatternsF1
ScorePatternsFreqBased E > - Class in edu.stanford.nlp.patterns
ScorePatternsFreqBased(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, Properties) ScorePatternsFreqBased
ScorePatternsRatioModifiedFreq E > - Class in edu.stanford.nlp.patterns
ScorePatternsRatioModifiedFreq(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<E, CandidatePhrase>, TwoDimensionalCounter<CandidatePhrase, ConstantsAndVariables.ScorePhraseMeasures>, ScorePhrases, Properties) ScorePatternsRatioModifiedFreq
scorePhrases GetPatternsFromDataMultiClass
scorePhrases(String, Set<CandidatePhrase>, boolean) PhraseScorer
ScorePhrases E extends Pattern > - Class in edu.stanford.nlp.patterns
ScorePhrases(Properties, ConstantsAndVariables) ScorePhrases
scorePhrases(String, TwoDimensionalCounter<CandidatePhrase, E>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<E>, Set<CandidatePhrase>, boolean) ScorePhrasesAverageFeatures
scorePhrases(String, Set<CandidatePhrase>, boolean) ScorePhrasesAverageFeatures
ScorePhrasesAverageFeatures E extends Pattern > - Class in edu.stanford.nlp.patterns
Score phrases by averaging scores of individual features.
ScorePhrasesAverageFeatures(ConstantsAndVariables) ScorePhrasesAverageFeatures
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) BaseUnknownWordModel
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) EnglishUnknownWordModel
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) UnknownWordModel
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown).
SCORER SequenceMatchResult
scorer BiLexPCFGParser
Scorer edu.stanford.nlp.parser.lexparser
Interface for supporting A* scoring.
Scorer L > - Interface in edu.stanford.nlp.stats
ScorerBCubed edu.stanford.nlp.dcoref
B^3 scorer
ScorerBCubed(ScorerBCubed.BCubedType) ScorerBCubed
ScorerBCubed.BCubedType edu.stanford.nlp.dcoref
ScorerMUC edu.stanford.nlp.dcoref
ScorerMUC() ScorerMUC
ScorerPairwise edu.stanford.nlp.dcoref
ScorerPairwise() ScorerPairwise
scoreRule(BinaryRule) BinaryGrammar
scoreRule(UnaryRule) UnaryGrammar
scoresOf(Datum<L, F>) Classifier
scoresOf(Datum<String, String>) ColumnDataClassifier
scoresOf(Datum<L, F>) LinearClassifier
Construct a counter with keys the labels of the classifier and
values the score (unnormalized log probability) of each class.
scoresOf(int[]) LinearClassifier
Given a datum's features, construct a counter with keys
the labels and values the score (unnormalized log probability)
for each class.
scoresOf(RVFDatum<L, F>) LinearClassifier
Deprecated.
scoresOf(Datum<L, F>, Collection<L>) LinearClassifier
scoresOf(Datum<L, F>) LogisticClassifier
returns the scores for both the classes
scoresOf(RVFDatum<L, F>) LogisticClassifier
Deprecated.
scoresOf(RVFDatum<L, F>) NaiveBayesClassifier
scoresOf(Datum<L, F>) NaiveBayesClassifier
scoresOf(RVFDatum<L, F>) RVFClassifier
scoresOf(int[], int) CRFCliqueTree
Computes the unnormalized log conditional distribution over values of the
element at position pos in the sequence, conditioned on the values of the
elements in all other positions of the provided sequence.
scoresOf(int[], int) TestSequenceModel
scoresOf(int[], int) EntityCachingAbstractSequencePriorBIO
scoresOf(List<IN>, int) CMMClassifier
scoresOf(int[], int) FactoredSequenceModel
Computes the scores of labels for the element at the given position in
the sequence, conditioned on the values of the labels at all other
positions of the provided sequence.
scoresOf(int[], int) SequenceModel
Computes the scores of labels for the element at the given position in
the sequence, conditioned on the values of the labels at all other
positions of the provided sequence.
scoresOf(int[], int) TestSentence
scoreTB(int, int, int, int, boolean, int) AbstractDependencyGrammar
scoreTB(IntDependency) ChineseSimWordAvgDepGrammar
scoreTB(IntDependency) DependencyGrammar
Score an IntDependency in the reduced tagBin space according to the
grammar.
scoreTB(int, int, int, int, boolean, int) DependencyGrammar
Score a dependency according to the grammar, where the elements of the
dependency are represented in separate paramters.
scoreTB(IntDependency) MLEDependencyGrammar
Score a tag binned dependency.
ScrollableTreeJPanel edu.stanford.nlp.trees.tregex.gui
Component for displaying a tree in a JPanel that works correctly with
scrolling.
ScrollableTreeJPanel() ScrollableTreeJPanel
ScrollableTreeJPanel(int, int) ScrollableTreeJPanel
scrollBack() ParserPanel
Scrolls back one sentence in the text
scrollForward() ParserPanel
Scrolls forward one sentence in the text
search(Predicate<Triple<Double, List<Counter<String>>, Supplier<SentenceFragment>>>) ClauseSplitterSearchProblem
Search, using the default weights / featurizer.
search(Predicate<Triple<Double, List<Counter<String>>, Supplier<SentenceFragment>>>, Classifier<ClauseSplitter.ClauseClassifierLabel, String>, Map<String, List<String>>, Function<Triple<ClauseSplitterSearchProblem.State, ClauseSplitterSearchProblem.Action, ClauseSplitterSearchProblem.State>, Counter<String>>, int) ClauseSplitterSearchProblem
Search from the root of the tree.
search(IndexedWord, Predicate<Triple<Double, List<Counter<String>>, Supplier<SentenceFragment>>>, Classifier<ClauseSplitter.ClauseClassifierLabel, String>, Map<String, ? extends List<String>>, Function<Triple<ClauseSplitterSearchProblem.State, ClauseSplitterSearchProblem.Action, ClauseSplitterSearchProblem.State>, Counter<String>>, Collection<ClauseSplitterSearchProblem.Action>, int) ClauseSplitterSearchProblem
The core implementation of the search.
search() ForwardEntailerSearchProblem
Run a search from this entailer.
SEARCH TaggerConfig
searchAndReplace(String, String, String) StringUtils
searchGraphPrefix SeqClassifierFlags
searchGraphPrune SeqClassifierFlags
second SUTime.IsoTime
SECOND SUTime
second Pair
Direct access is deprecated.
second() Pair
second Quadruple
second() Quadruple
second Triple
second() Triple
secondKeySet() TwoDimensionalCounter
secondKeySet() TwoDimensionalCounterInterface
secondKeySet() TwoDimensionalIntCounter
secondKeySet() ThreeDimensionalMap
secondKeySet() TwoDimensionalCollectionValuedMap
secondKeySet() TwoDimensionalMap
secondKeySet(K1) TwoDimensionalSet
secondOrderNonLinear SeqClassifierFlags
secondPersonPronouns Dictionaries
secondPersonPronouns Dictionaries
secondPersonPronounsEn WordLists
secondPersonPronounsZh WordLists
secret ServerAnnotatorImplementations
The secret key to use as the username to authenticate with the server, or null.
SectionAnnotation() CoreAnnotations.SectionAnnotation
SECTIONAUTHOR_FIELD_NUMBER CoreNLPProtos.Sentence
SECTIONAUTHOR_FIELD_NUMBER CoreNLPProtos.Token
SectionAuthorCharacterOffsetBeginAnnotation() CoreAnnotations.SectionAuthorCharacterOffsetBeginAnnotation
SectionAuthorCharacterOffsetEndAnnotation() CoreAnnotations.SectionAuthorCharacterOffsetEndAnnotation
SECTIONDATE_FIELD_NUMBER CoreNLPProtos.Sentence
SECTIONDATE_FIELD_NUMBER CoreNLPProtos.Token
SectionDateAnnotation() CoreAnnotations.SectionDateAnnotation
SectionEndAnnotation() CoreAnnotations.SectionEndAnnotation
SECTIONENDLABEL_FIELD_NUMBER CoreNLPProtos.Token
SectionIDAnnotation() CoreAnnotations.SectionIDAnnotation
SECTIONINDEX_FIELD_NUMBER CoreNLPProtos.Sentence
SectionIndexAnnotation() CoreAnnotations.SectionIndexAnnotation
SECTIONNAME_FIELD_NUMBER CoreNLPProtos.Sentence
SECTIONNAME_FIELD_NUMBER CoreNLPProtos.Token
SECTIONQUOTED_FIELD_NUMBER CoreNLPProtos.Sentence
SECTIONS_FIELD_NUMBER CoreNLPProtos.Document
SectionsAnnotation() CoreAnnotations.SectionsAnnotation
SectionStartAnnotation() CoreAnnotations.SectionStartAnnotation
SectionTagAnnotation() CoreAnnotations.SectionTagAnnotation
seed ClauseSplitterSearchProblem.TrainingOptions
SeedLabeledOrNot() PatternsAnnotations.SeedLabeledOrNot
seenCounter BaseLexicon
Records the number of times word/tag pair was seen in training data.
segMarker ATBTreeUtils
segment(String) ArabicSegmenter
segment(BufferedReader, PrintWriter) ArabicSegmenter
Segment all strings from an input.
segment(K...) TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the longest non-overlapping
sub-sequences.
segment(List<K>) TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the longest non-overlapping
sub-sequences.
segment(List<K>, int, int) TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the longest non-overlapping
sub-sequences.
segment(List<K>, int, int, Comparator<? super Match<K, V>>) TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the non-overlapping
sub-sequences that comes earlier using the compareFunc.
segment(List<K>, int, int, ToDoubleFunction<? super Match<K, V>>) TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to maximize the total score
Non-matched parts will be included as a match with a null value.
segment(List<K>, ToDoubleFunction<? super Match<K, V>>) TrieMapMatcher
segment(SemanticGraph, Optional<Double>, boolean) RelationTripleSegmenter
Try to segment this sentence as a relation triple.
segment(SemanticGraph, Optional<Double>) RelationTripleSegmenter
Segment the given parse tree, forcing all nodes to be consumed.
segment(String) ChineseLexiconAndWordSegmenter
segment(String) ChineseMarkovWordSegmenter
segment ChineseTreebankParserParams
segment(String) WordSegmenter
segmentationMarker DefaultLexicalMapper
segmentDouble(double) SloppyMath
Segment a double into a mantissa and exponent.
segmenter OpenIE
The relation triple segmenter, which converts a maximally shortened clause into an OpenIE
extraction triple.
segmenterClass ChineseTreebankParserParams
SegmenterCoreAnnotations edu.stanford.nlp.ling
SegmenterCoreAnnotations.CharactersAnnotation edu.stanford.nlp.ling
SegmenterCoreAnnotations.XMLCharAnnotation edu.stanford.nlp.ling
segmentMarkov ChineseTreebankParserParams
segmentString(String) AbstractSequenceClassifier
Have a word segmenter segment a String into a list of words.
segmentString(String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
segmentString(String) ArabicSegmenter
segmentStringToTokenList(String) ArabicSegmenter
selectFeatures(int, double[]) Dataset
Generic method to select features based on the feature scores vector provided as an argument.
selectFeaturesBinaryInformationGain(int) Dataset
selectFeaturesFromSet(Set<F>) RVFDataset
Removes all features from the dataset that are not in featureSet.
selectivePostSplit TrainOptions
selectivePostSplitCutOff TrainOptions
selectiveSplit TrainOptions
Only split the "common high KL divergence" parent categories....
selectiveSplitCutOff TrainOptions
selectNextMatch() MatchesPanel
selectPreviousMatch() MatchesPanel
selfRegex EnglishPatterns
selfTest SeqClassifierFlags
selfTrainConfidenceThreshold SeqClassifierFlags
selfTrainFile SeqClassifierFlags
selfTrainIterations SeqClassifierFlags
selfTrainWindowSize SeqClassifierFlags
SEMANTIC_DEPENDENT EnglishGrammaticalRelations
The "semantic dependent" grammatical relation has been
introduced as a supertype for the controlling subject relation.
SEMANTIC_DEPENDENT ChineseGrammaticalRelations
The "semantic dependent" grammatical relation.
SEMANTIC_DEPENDENT UniversalEnglishGrammaticalRelations
The "semantic dependent" grammatical relation has been
introduced as a supertype for the controlling subject relation.
SemanticGraph edu.stanford.nlp.semgraph
Represents a semantic graph of a sentence or document, with IndexedWord
objects for nodes.
SemanticGraph() SemanticGraph
SemanticGraph(SemanticGraph) SemanticGraph
Returns a new SemanticGraph which is a copy of the supplied SemanticGraph.
SemanticGraph(SemanticGraph, Map<IndexedWord, IndexedWord>) SemanticGraph
Copies a the current graph, but also sets the mapping from the old to new
graph.
SemanticGraph(Collection<TypedDependency>) SemanticGraph
This is the constructor used by the parser.
SemanticGraph.OutputFormat edu.stanford.nlp.semgraph
SemanticGraphCoreAnnotations edu.stanford.nlp.semgraph
This class collects CoreAnnotations that are used in working with a
SemanticGraph.
SemanticGraphCoreAnnotations() SemanticGraphCoreAnnotations
SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation edu.stanford.nlp.semgraph
The CoreMap key for storing a semantic graph that was converted using a non-default converter.
SemanticGraphCoreAnnotations.BasicDependenciesAnnotation edu.stanford.nlp.semgraph
The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation edu.stanford.nlp.semgraph
SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation edu.stanford.nlp.semgraph
SemanticGraphCoreAnnotations.EnhancedDependenciesAnnotation edu.stanford.nlp.semgraph
The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphCoreAnnotations.EnhancedPlusPlusDependenciesAnnotation edu.stanford.nlp.semgraph
The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphEdge edu.stanford.nlp.semgraph
Represents an edge in the dependency graph.
SemanticGraphEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) SemanticGraphEdge
SemanticGraphEdge(SemanticGraphEdge) SemanticGraphEdge
SemanticGraphFactory edu.stanford.nlp.semgraph
Refactoring of static makers of SemanticGraphs in order to simplify
the SemanticGraph class.
SemanticGraphFactory.Mode edu.stanford.nlp.semgraph
SemanticGraphFormatter edu.stanford.nlp.semgraph
Defines a class for pretty-printing SemanticGraphs.
SemanticGraphFormatter() SemanticGraphFormatter
SemanticGraphFormatter(int, int, boolean, boolean, boolean, boolean, boolean) SemanticGraphFormatter
SemanticGraphUtils edu.stanford.nlp.semgraph
Generic utilities for dealing with Dependency graphs and other structures, useful for
text simplification and rewriting.
SemanticGraphUtils.EdgeDiffResult edu.stanford.nlp.semgraph
SemanticGraphUtils.PositionedTree edu.stanford.nlp.semgraph
This is used to uniquely index trees within a
Tree, maintaining the position of this subtree
within the context of the root.
SemanticGraphUtils.PrintVerticeParams edu.stanford.nlp.semgraph
SemanticHeadFinder edu.stanford.nlp.trees
Implements a 'semantic head' variant of the the English HeadFinder
found in Michael Collins' 1999 thesis.
SemanticHeadFinder() SemanticHeadFinder
SemanticHeadFinder(boolean) SemanticHeadFinder
SemanticHeadFinder(TreebankLanguagePack, boolean) SemanticHeadFinder
Create a SemanticHeadFinder.
SemanticHeadTagAnnotation() CoreAnnotations.SemanticHeadTagAnnotation
SemanticHeadWordAnnotation() CoreAnnotations.SemanticHeadWordAnnotation
Semantics edu.stanford.nlp.coref.data
Semantic knowledge: currently WordNet is available
Semantics() Semantics
Semantics(Dictionaries) Semantics
semantics MentionExtractor
Semantics edu.stanford.nlp.dcoref
Semantic knowledge: currently WordNet is available
Semantics() Semantics
Semantics(Dictionaries) Semantics
semantics() SieveCoreferenceSystem
SemanticTagAnnotation() CoreAnnotations.SemanticTagAnnotation
SemanticWordAnnotation() CoreAnnotations.SemanticWordAnnotation
semgrex StanfordCoreNLPServer.FinishedRequest
semgrex(SemgrexPattern, Function<SemgrexMatcher, T>) Sentence
Apply a semgrex pattern to the sentence
semgrex(String, Function<SemgrexMatcher, T>) Sentence
Apply a semgrex pattern to the sentence
SemgrexBatchParser edu.stanford.nlp.semgraph.semgrex
Parses a batch of SemgrexPatterns from a stream.
semgrexFromGraph(SemanticGraph, boolean, boolean, Map<IndexedWord, String>) SemanticGraphUtils
Given a SemanticGraph, creates a SemgrexPattern string based off of this graph.
semgrexFromGraph(SemanticGraph, Collection<IndexedWord>, boolean, boolean, Map<IndexedWord, String>) SemanticGraphUtils
semgrexFromGraph(SemanticGraph, Collection<IndexedWord>, Map<IndexedWord, String>, Function<IndexedWord, String>) SemanticGraphUtils
nodeValuesTranformation is a function that converts a vertex (IndexedWord) to the value.
semgrexFromGraph(Iterable<SemanticGraphEdge>, boolean, boolean, Map<IndexedWord, String>) SemanticGraphUtils
Given a set of edges that form a rooted and connected graph, returns a Semgrex pattern
corresponding to it.
semgrexFromGraphHelper(IndexedWord, SemanticGraph, Set<IndexedWord>, Set<SemanticGraphEdge>, boolean, boolean, Collection<IndexedWord>, Map<IndexedWord, String>, boolean, Function<IndexedWord, String>) SemanticGraphUtils
Recursive call to generate the Semgrex pattern based off of this SemanticGraph.
semgrexFromGraphOrderedNodes(SemanticGraph, Collection<IndexedWord>, Map<IndexedWord, String>, Function<IndexedWord, String>) SemanticGraphUtils
Same as semgrexFromGraph except the node traversal is ordered by sorting
SemgrexHandler(Predicate<Properties>, Consumer<StanfordCoreNLPServer.FinishedRequest>) StanfordCoreNLPServer.SemgrexHandler
Create a new Semgrex Handler.
SemgrexMatcher edu.stanford.nlp.semgraph.semgrex
SemgrexParseException edu.stanford.nlp.semgraph.semgrex
A runtime exception that indicates something went wrong parsing a
semgrex expression.
SemgrexParseException(String, Throwable) SemgrexParseException
SemgrexPattern edu.stanford.nlp.semgraph.semgrex
A SemgrexPattern is a pattern for matching node and edge configurations a dependency graph.
SemgrexPattern.OutputFormat edu.stanford.nlp.semgraph.semgrex
SemiSupervisedLogConditionalObjectiveFunction edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior, double) SemiSupervisedLogConditionalObjectiveFunction
SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior) SemiSupervisedLogConditionalObjectiveFunction
sendQuit() LexicalizedParserClient
Tell the server to exit
sent TestSentence
sentence KBPRelationExtractor.KBPInput
sentence ExtractionObject
Sentence that contains this object
This assumes that each extraction object is intra-sentential (true in ACE, Roth, BioNLP, MR)
sentence ExhaustivePCFGParser
sentence() CoreEntityMention
get this entity mention's sentence
sentence(int, Properties) Document
sentence(int) Document
Sentence edu.stanford.nlp.simple
A representation of a single Sentence.
Sentence(Document, Properties) Sentence
Create a new sentence, using the specified properties as the default properties.
Sentence(String, Properties) Sentence
Create a new sentence from some text, and some properties.
Sentence(String) Sentence
Create a new sentence from the given text, assuming the entire text is just one sentence.
Sentence(Function<String, Document>, List<String>, Properties) Sentence
The actual implementation of a tokenized sentence constructor
Sentence(List<String>) Sentence
Create a new sentence from the given tokenized text, assuming the entire text is just one sentence.
Sentence(BiFunction<Properties, String, Document>, CoreNLPProtos.Sentence, Properties) Sentence
Create a sentence from a saved protocol buffer.
Sentence(CoreNLPProtos.Sentence) Sentence
Create a sentence from a saved protocol buffer.
Sentence(Document, int) Sentence
Helper for creating a sentence from a document at a given index
Sentence(Document, CoreNLPProtos.Sentence.Builder, Properties) Sentence
The canonical constructor of a sentence from a
Document.
Sentence(Document, CoreMap) Sentence
Helper for creating a sentence from a document and a CoreMap representation
Sentence(CoreMap) Sentence
Convert a CoreMap into a simple Sentence object.
Sentence(SentenceFragment) Sentence
Convert a sentence fragment (i.e., entailed sentence) into a simple sentence object.
sentence SentenceAlgorithms
sentence Token
The underlying sentence supplying the fields for this token.
SENTENCE NegraPennLexer
SENTENCE_FIELD_NUMBER CoreNLPProtos.Document
SentenceAlgorithms edu.stanford.nlp.simple
A set of common utility algorithms for working with sentences (e.g., finding the head of a span).
SentenceAlgorithms(Sentence) SentenceAlgorithms
Create a new algorithms object, based off of a sentence.
SentenceAnnotator edu.stanford.nlp.pipeline
A parent class for annotators which might want to analyze one
sentence at a time, possibly in a multithreaded manner.
SentenceAnnotator() SentenceAnnotator
SentenceAnnotator.AnnotatorProcessor edu.stanford.nlp.pipeline
SENTENCEBEGIN_FIELD_NUMBER CoreNLPProtos.Quote
SentenceBeginAnnotation() CoreAnnotations.SentenceBeginAnnotation
sentenceContextIncompatible(Mention, Mention, Dictionaries) CorefRules
sentenceContextIncompatible(Mention, Mention, Dictionaries) Rules
sentenceCount(CoreMap) AnnotationUtils
sentenceDeepMentionCopy(Annotation) AnnotationUtils
Deep copy of the sentence: we create new entity/relation/event lists here.
sentenceDelimiter Config
If non-null, when parsing raw text assume sentences have already
been split and are separated by the given delimiter.
SENTENCEEND_FIELD_NUMBER CoreNLPProtos.Quote
SentenceEndAnnotation() CoreAnnotations.SentenceEndAnnotation
sentenceEntityMentionsToCoreLabels(CoreMap, boolean, Set<String>, Set<String>, boolean, boolean) AnnotationUtils
Converts the labels of all entity mentions in this sentence to sequences of CoreLabels
sentenceFinalPunctuationTagAcceptFilter() AbstractTreebankLanguagePack
Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
sentenceFinalPunctuationTagAcceptFilter() TreebankLanguagePack
Returns a filter that accepts a String that is a sentence end
punctuation tag, and rejects everything else.
sentenceFinalPunctuationTags() AbstractTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationTags() ArabicTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationTags() FrenchTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationTags() HebrewTreebankLanguagePack
sentenceFinalPunctuationTags() NegraPennLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationTags() ChineseTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationTags() SpanishTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationTags() TueBaDZLanguagePack
sentenceFinalPunctuationTags() PennTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationTags() TreebankLanguagePack
Returns a String array of sentence final punctuation tags for this
treebank/language.
sentenceFinalPunctuationWords() ArabicTreebankLanguagePack
Returns a String array of sentence final punctuation words for this
treebank/language.
sentenceFinalPunctuationWords() FrenchTreebankLanguagePack
Returns a String array of sentence final punctuation words for this
treebank/language.
sentenceFinalPunctuationWords() HebrewTreebankLanguagePack
sentenceFinalPunctuationWords() NegraPennLanguagePack
Returns a String array of sentence final punctuation words for this
treebank/language.
sentenceFinalPunctuationWords() ChineseTreebankLanguagePack
Returns a String array of sentence final punctuation words for this
treebank/language.
sentenceFinalPunctuationWords() SpanishTreebankLanguagePack
Returns a String array of sentence final punctuation words for this
treebank/language.
sentenceFinalPunctuationWords() TueBaDZLanguagePack
sentenceFinalPunctuationWords() PennTreebankLanguagePack
Returns a String array of sentence final punctuation words for this
treebank/language.
sentenceFinalPunctuationWords() TreebankLanguagePack
Returns a String array of sentence final punctuation words for
this treebank/language.
SentenceFragment edu.stanford.nlp.naturalli
A representation of a sentence fragment.
SentenceFragment(SemanticGraph, boolean, boolean) SentenceFragment
sentenceid() Sentence
Returns the sentence id of the sentence, if one was found
SENTENCEID_FIELD_NUMBER CoreNLPProtos.Sentence
SentenceIDAnnotation() CoreAnnotations.SentenceIDAnnotation
SentenceIndex E extends Pattern > - Class in edu.stanford.nlp.patterns
Created by sonalg on 10/15/14.
SentenceIndex(Set<String>, Function<CoreLabel, Map<String, String>>) SentenceIndex
sentenceIndex() Sentence
The index of the sentence within the document.
SENTENCEINDEX_FIELD_NUMBER CoreNLPProtos.CorefChain.CorefMention
SENTENCEINDEX_FIELD_NUMBER CoreNLPProtos.DependencyGraph.Node
SENTENCEINDEX_FIELD_NUMBER CoreNLPProtos.NERMention
SENTENCEINDEX_FIELD_NUMBER CoreNLPProtos.Sentence
SENTENCEINDEX_FIELD_NUMBER CoreNLPProtos.TokenLocation
SentenceIndexAnnotation() CoreAnnotations.SentenceIndexAnnotation
SENTENCEINDEXES_FIELD_NUMBER CoreNLPProtos.Section
sentenceLength ClauseSplitterSearchProblem
The length of the sentence, as determined from the tree.
SENTENCELESSTOKEN_FIELD_NUMBER CoreNLPProtos.Document
SENTENCENUM_FIELD_NUMBER CoreNLPProtos.IndexedWord
SentencePositionAnnotation() CoreAnnotations.SentencePositionAnnotation
sentences() CoreDocument
the list of sentences in this document
sentences() CoreQuote
retrieve the CoreSentence's attached to this quote
sentences Document
The list of sentences associated with this document
sentences(Properties) Document
Get the sentences in this document, as a list.
sentences(Properties, Annotator) Document
Get the sentences in this document, as a list.
sentences() Document
SentencesAnnotation() CoreAnnotations.SentencesAnnotation
sentencesToDocument(String, String, List<CoreMap>) SUTimeMain
sentenceStringWithMention(int, Document, boolean, boolean) HybridCorefPrinter
sentenceTokenOffsetBegin() Sentence
THe token offset of the sentence within the document.
sentenceTokenOffsetEnd() Sentence
The token offset of the end of this sentence within the document.
sentenceToString(CoreMap) AnnotationUtils
SentenceUtils edu.stanford.nlp.ling
SentenceUtils holds a couple utility methods for lists that are sentences.
sentenceWordLists CoNLLDocumentReader.CoNLLDocument
sentenceWords Mention
sentenceWords Mention
SENTENCEWORDS_FIELD_NUMBER CoreNLPProtos.Mention
sentId2File Data
sentiment(Properties, String) AnnotatorImplementations
Annotate for sentiment in sentences
sentiment() CoreSentence
sentiment
sentiment(Properties, String) ServerAnnotatorImplementations
Annotate for sentiment in sentences
sentiment() Sentence
The sentiment of this sentence (e.g., positive / negative).
sentiment(Properties) Sentence
The sentiment of this sentence (e.g., positive / negative).
SENTIMENT_FIELD_NUMBER CoreNLPProtos.ParseTree
SENTIMENT_FIELD_NUMBER CoreNLPProtos.Sentence
SENTIMENT_FIELD_NUMBER CoreNLPProtos.Token
SentimentAnnotatedTree() SentimentCoreAnnotations.SentimentAnnotatedTree
SentimentAnnotator edu.stanford.nlp.pipeline
This annotator attaches a binarized tree with sentiment annotations
to each sentence.
SentimentAnnotator(String, Properties) SentimentAnnotator
SentimentClass() SentimentCoreAnnotations.SentimentClass
SentimentClass edu.stanford.nlp.simple
An enum for the Simple CoreNLP API to represent a sentiment value.
SentimentCoreAnnotations edu.stanford.nlp.sentiment
Annotations specific to the Sentiment project.
SentimentCoreAnnotations() SentimentCoreAnnotations
SentimentCoreAnnotations.SentimentAnnotatedTree edu.stanford.nlp.sentiment
A tree which contains the annotations used for the Sentiment
task.
SentimentCoreAnnotations.SentimentClass edu.stanford.nlp.sentiment
The final label given for a sentence.
SentimentCostAndGradient edu.stanford.nlp.sentiment
SentimentCostAndGradient(SentimentModel, List<Tree>) SentimentCostAndGradient
SentimentModel edu.stanford.nlp.sentiment
SentimentModel(RNNOptions, List<Tree>) SentimentModel
The traditional way of initializing an empty model suitable for training.
SentimentPipeline edu.stanford.nlp.sentiment
A wrapper class which creates a suitable pipeline for the sentiment
model and processes raw text.
sentimentString(SentimentModel, int) SentimentUtils
SentimentTraining edu.stanford.nlp.sentiment
sentimentTree() CoreSentence
sentiment tree
SentimentUtils edu.stanford.nlp.sentiment
In the Sentiment dataset converted to tree form, the labels on the
intermediate nodes are the sentiment scores and the leaves are the
text of the sentence.
sentIndex() CoreLabel sentIndex() HasIndex
sentIndex() IndexedWord
sentIndex() Token
sentNum CorefChain.CorefMention
Sentence number in the document containing this mention,
indexed from 1.
sentNum Mention
sentNum CorefChain.CorefMention
Sentence number in the document containing this mention,
indexed from 1.
sentNum Mention
SENTNUM_FIELD_NUMBER CoreNLPProtos.Mention
sents Data
sentsFiles Data
sentsOutFile ConstantsAndVariables
separateASCIIandRange SeqClassifierFlags
separateLopExpertWeights(double[]) CRFLogConditionalObjectiveFunctionForLOP
separateLopExpertWeights2D(double[]) CRFLogConditionalObjectiveFunctionForLOP
separateLopScales(double[]) CRFLogConditionalObjectiveFunctionForLOP
separatePronouns(String) SpanishVerbStripper
Attempt to separate attached pronouns from the given verb.
separateWeights(double[]) CRFNonLinearLogConditionalObjectiveFunction
separateWeights(double[]) CRFNonLinearSecondOrderLogConditionalObjectiveFunction
SEPARATOR Config
For printing messages.
SEPTEMBER SUTime
SEQ_BEGIN_PATTERN_EXPR SequencePattern
SEQ_END_PATTERN_EXPR SequencePattern
SeqBackRef(Env) TokenSequenceParser
SeqClassifierFlags edu.stanford.nlp.sequences
Flags for sequence classifiers.
SeqClassifierFlags() SeqClassifierFlags
Create a new SeqClassifierFlags object initialized with default values.
SeqClassifierFlags(Properties) SeqClassifierFlags
Create a new SeqClassifierFlags object and initialize it using values in
the Properties object.
SeqClassifierFlags(Properties, boolean) SeqClassifierFlags
Create a new SeqClassifierFlags object and initialize it using values in
the Properties object.
SeqClassifierFlags.SlashHyphenEnum edu.stanford.nlp.sequences
SeqRegex(Env) TokenSequenceParser
SeqRegexBasic(Env) TokenSequenceParser
SeqRegexDisj(Env) TokenSequenceParser
SeqRegexDisjConj(Env) TokenSequenceParser
SeqRegexGroup(Env) TokenSequenceParser
SeqRegexRepeatTimes(Env, SequencePattern.PatternExpr) TokenSequenceParser
SeqRegexWithAction(Env) TokenSequenceParser
sequence EntityCachingAbstractSequencePriorBIO
SequenceEndPatternExpr() SequencePattern.SequenceEndPatternExpr
SequenceGibbsSampler edu.stanford.nlp.sequences
A Gibbs sampler for sequence models.
SequenceGibbsSampler(int, int, SequenceListener, List, boolean, int, int, List<List<Integer>>, int, EmpiricalNERPriorBIO, EmpiricalNERPriorBIO) SequenceGibbsSampler
SequenceGibbsSampler(int, int, SequenceListener, List) SequenceGibbsSampler
SequenceGibbsSampler(int, int, SequenceListener) SequenceGibbsSampler
SequenceGibbsSampler(int, int, SequenceListener, int, int, List<List<Integer>>, int, EmpiricalNERPriorBIO, EmpiricalNERPriorBIO) SequenceGibbsSampler
SequenceListener edu.stanford.nlp.sequences
A class capable of listening to changes about a sequence,
represented as an array of type int.
SequenceMatchAction T > - Interface in edu.stanford.nlp.ling.tokensregex
Performs action on a sequence
SequenceMatchAction.BoundAction T > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchAction.BranchAction T > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchAction.NextMatchAction T > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchAction.SeriesAction T > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchAction.StartMatchAction T > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) SequenceMatchRules.SequenceMatchedExpressionExtractor
SequenceMatcher T > - Class in edu.stanford.nlp.ling.tokensregex
A generic sequence matcher.
SequenceMatcher(SequencePattern<T>, List<? extends T>) SequenceMatcher
SequenceMatcher.BasicMatchReplacement T > - Class in edu.stanford.nlp.ling.tokensregex
Replacement item is a sequence of items
SequenceMatcher.FindType edu.stanford.nlp.ling.tokensregex
Type of search to perform
FIND_NONOVERLAPPING - Find nonoverlapping matches (default)
FIND_ALL - Find all potential matches
Greedy/reluctant quantifiers are not enforced
(perhaps should add syntax where some of them are enforced...)
SequenceMatcher.GroupMatchReplacement T > - Class in edu.stanford.nlp.ling.tokensregex
Replacement item is a matched group specified with a group id
SequenceMatcher.MatchReplacement T > - Interface in edu.stanford.nlp.ling.tokensregex
Interface that specifies what to replace a matched pattern with
SequenceMatcher.NamedGroupMatchReplacement T > - Class in edu.stanford.nlp.ling.tokensregex
Replacement item is a matched group specified with a group name
SequenceMatchResult T > - Interface in edu.stanford.nlp.ling.tokensregex
The result of a match against a sequence.
SequenceMatchResult.GroupToIntervalFunc MR extends MatchResult > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchResult.MatchedGroupInfo T > - Class in edu.stanford.nlp.ling.tokensregex
Information about a matched group.
sequenceMatchResultExtractor Env
SequenceMatchResultExtractor(Env, Expression, Expression) SequenceMatchRules.SequenceMatchResultExtractor
SequenceMatchResultExtractor(Env, Expression) SequenceMatchRules.SequenceMatchResultExtractor
SequenceMatchRules edu.stanford.nlp.ling.tokensregex
Rules for matching sequences using regular expressions.
SequenceMatchRules.AnnotationExtractRule S ,T extends MatchedExpression > - Class in edu.stanford.nlp.ling.tokensregex
Rule that specifies how to extract sequence of MatchedExpression from an annotation (CoreMap).
SequenceMatchRules.AnnotationExtractRuleCreator edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.AnnotationMatchedFilter edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.AssignmentRule edu.stanford.nlp.ling.tokensregex
Rule that specifies what value to assign to a variable
SequenceMatchRules.BasicSequenceExtractRule edu.stanford.nlp.ling.tokensregex
Extraction rule.
SequenceMatchRules.CompositeExtractRuleCreator edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.CoreMapExtractRule T ,O > - Class in edu.stanford.nlp.ling.tokensregex
Extraction rule to apply a extraction rule on a particular CoreMap field
Input is of type CoreMap, output is templated type O.
SequenceMatchRules.CoreMapFunctionApplier T ,O > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.CoreMapToListExtractRule O > - Class in edu.stanford.nlp.ling.tokensregex
Extraction rule that treats a single CoreMap as a list/sequence of CoreMaps
(convenience class, for use with BasicSequenceExtractRule)
Input is of type CoreMap, output is templated type O.
SequenceMatchRules.CoreMapToListFunctionApplier O > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.ExtractRule I ,O > - Interface in edu.stanford.nlp.ling.tokensregex
Interface for a rule that extracts a list of matched items from an input.
SequenceMatchRules.FilterExtractRule I ,O > - Class in edu.stanford.nlp.ling.tokensregex
Extraction rule that filters the input before passing it on to the next extractor
SequenceMatchRules.ListExtractRule I ,O > - Class in edu.stanford.nlp.ling.tokensregex
Extraction rule that applies a list of rules in sequence and aggregates
all matches found.
SequenceMatchRules.MultiSequencePatternExtractRule T ,O > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.MultiTokenPatternExtractRuleCreator edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.Rule edu.stanford.nlp.ling.tokensregex
A sequence match rule
SequenceMatchRules.SequenceMatchedExpressionExtractor edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.SequenceMatchResultExtractor T > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.SequencePatternExtractRule T ,O > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.StringMatchedExpressionExtractor edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.StringMatchResultExtractor edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.StringPatternExtractRule O > - Class in edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.TextPatternExtractRuleCreator edu.stanford.nlp.ling.tokensregex
SequenceMatchRules.TokenPatternExtractRuleCreator edu.stanford.nlp.ling.tokensregex
SequenceModel edu.stanford.nlp.sequences
Interface for scoring the labeling of sequences of a fixed length.
SequencePattern T > - Class in edu.stanford.nlp.ling.tokensregex
Generic Sequence Pattern for regular expressions.
SequencePattern(SequencePattern.PatternExpr) SequencePattern
SequencePattern(String, SequencePattern.PatternExpr) SequencePattern
SequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<T>) SequencePattern
SequencePattern.AndPatternExpr edu.stanford.nlp.ling.tokensregex
SequencePattern.BackRefPatternExpr edu.stanford.nlp.ling.tokensregex
SequencePattern.GroupPatternExpr edu.stanford.nlp.ling.tokensregex
Expression that represents a group.
SequencePattern.MultiNodePatternExpr edu.stanford.nlp.ling.tokensregex
Represents a pattern that can match multiple nodes.
SequencePattern.NodePatternExpr edu.stanford.nlp.ling.tokensregex
Represents one element to be matched.
SequencePattern.NodesMatchChecker T > - Interface in edu.stanford.nlp.ling.tokensregex
SequencePattern.OrPatternExpr edu.stanford.nlp.ling.tokensregex
Expression that represents a disjunction.
SequencePattern.Parser T > - Interface in edu.stanford.nlp.ling.tokensregex
SequencePattern.PatternExpr edu.stanford.nlp.ling.tokensregex
Represents a sequence pattern expressions (before translating into NFA).
SequencePattern.RepeatPatternExpr edu.stanford.nlp.ling.tokensregex
Expression that represents a pattern that repeats for a number of times.
SequencePattern.SequenceEndPatternExpr edu.stanford.nlp.ling.tokensregex
SequencePattern.SequencePatternExpr edu.stanford.nlp.ling.tokensregex
SequencePattern.SequenceStartPatternExpr edu.stanford.nlp.ling.tokensregex
SequencePattern.SpecialNodePatternExpr edu.stanford.nlp.ling.tokensregex
Represents one element to be matched.
SequencePattern.ValuePatternExpr edu.stanford.nlp.ling.tokensregex
SequencePatternExpr(List<SequencePattern.PatternExpr>) SequencePattern.SequencePatternExpr
SequencePatternExpr(SequencePattern.PatternExpr...) SequencePattern.SequencePatternExpr
SequencePatternExtractRule(Env, String, Function<SequenceMatchResult<T>, O>) SequenceMatchRules.SequencePatternExtractRule
SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>) SequenceMatchRules.SequencePatternExtractRule
SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>, SequenceMatcher.FindType, boolean) SequenceMatchRules.SequencePatternExtractRule
SequenceRegexPattern(SequencePattern<T>) ComplexNodePattern.SequenceRegexPattern
SequenceSampler edu.stanford.nlp.sequences
This class will sample an output from a sequence model.
SequenceSampler() SequenceSampler
SequenceStartPatternExpr() SequencePattern.SequenceStartPatternExpr
SeqVar(Env) TokenSequenceParser
SerializableFunction T1 ,T2 > - Interface in edu.stanford.nlp.process
This interface is a conjunction of Function and Serializable, which is
a bad idea from the perspective of the type system, but one that seems
more palatable than other bad ideas until java's type system is flexible
enough to support type conjunctions.
serialize(String) VectorMap
Write the word vectors to a file.
serialize(OutputStream) VectorMap
Write the word vectors to an output stream.
serialize() Document
Serialize this Document as a Protocol Buffer.
serialize(OutputStream) Document
Write this document to an output stream.
serialize() Sentence
Serialize the given sentence (but not the associated document!) into a Protocol Buffer.
serialize(OutputStream) Sentence
Write this sentence to an output stream.
serializeClassifier(String) ColumnDataClassifier
Serialize a classifier to a file.
serializeClassifier(ObjectOutputStream) ColumnDataClassifier
Serialize a classifier to an ObjectOutputStream.
serializeClassifier(String) AbstractSequenceClassifier
Serialize a sequence classifier to a file on the given path.
serializeClassifier(ObjectOutputStream) AbstractSequenceClassifier
Serialize a sequence classifier to an object output stream
serializeClassifier(String) ClassifierCombiner
serializeClassifier(ObjectOutputStream) ClassifierCombiner
serializeClassifier(String) CRFClassifier
Serialize a sequence classifier to a file on the given path.
serializeClassifier(ObjectOutputStream) CRFClassifier
Serialize the classifier to the given ObjectOutputStream.
serializeClassifier(ObjectOutputStream) CRFClassifierNonlinear
serializeClassifier(String) CMMClassifier
serializeClassifier(ObjectOutputStream) CMMClassifier
serializeClassifier(ObjectOutputStream) NERClassifierCombiner
serializeClassifier(String) PresetSequenceClassifier
Serialize a sequence classifier to a file on the given path.
serializeClassifier(ObjectOutputStream) PresetSequenceClassifier
Serialize a sequence classifier to an object output stream
serializeClassifier(String) ChineseNumberSequenceClassifier
serializeClassifier(ObjectOutputStream) ChineseNumberSequenceClassifier
serializeClassifier(String) NumberSequenceClassifier
serializeClassifier(ObjectOutputStream) NumberSequenceClassifier
serializeClassifier(String) RegexNERSequenceClassifier
serializeClassifier(ObjectOutputStream) RegexNERSequenceClassifier
serializeClassIndex(String) CRFClassifier
serializeClassIndexTo SeqClassifierFlags
serializeCorpora MachineReadingProperties
serializeCounter(Counter<T>, String) Counters
serializeDatasetsDir SeqClassifierFlags
serializedAuxTrainingSentencesPath MachineReadingProperties
serializedDictionary SeqClassifierFlags
serializedEntityExtractionResults MachineReadingProperties
serializedEntityExtractorPath MachineReadingProperties
serializedEventExtractionResults MachineReadingProperties
serializedEventExtractorPath MachineReadingProperties
serializedRelationExtractionResults MachineReadingProperties
serializedRelationExtractorPath MachineReadingProperties
serializedTestSentencesPath MachineReadingProperties
serializedTrainingSentencesPath MachineReadingProperties
serializeFeatureIndex(String) CRFClassifier
serializeFeatureIndexTo SeqClassifierFlags
serializer Document
A serializer to assist in serializing and deserializing from Protocol buffers
serializeSegmenter(String) ArabicSegmenter
serializeStringCounter(Counter<String>, String, double) Counters
Serialize a counter into an efficient string TSV
serializeStringCounter(Counter<String>, String) Counters
serializeTextClassifier(PrintWriter) CRFClassifier
serializeTextClassifier(String) CRFClassifier
Serialize the model to a human readable format.
serializeTextClassifier(PrintWriter) CRFClassifierNonlinear
serializeTo SeqClassifierFlags
serializeToCH SeqClassifierFlags
serializeToEN SeqClassifierFlags
serializeToText SeqClassifierFlags
serializeWeights(String) CRFClassifier
serializeWeights(String, double[]) ScaledSGDMinimizer
serializeWeights(String, double[], double[]) ScaledSGDMinimizer
serializeWeightsTo SeqClassifierFlags
serialVersionUID MatchException
SeriesAction(SequenceMatchAction<T>...) SequenceMatchAction.SeriesAction
SeriesAction(List<SequenceMatchAction<T>>) SequenceMatchAction.SeriesAction
server StanfordCoreNLPServer
ServerAnnotatorImplementations edu.stanford.nlp.pipeline
ServerAnnotatorImplementations(String, int, String, String, boolean) ServerAnnotatorImplementations
ServerAnnotatorImplementations(String, int) ServerAnnotatorImplementations
serverID StanfordCoreNLPServer
serverPort StanfordCoreNLPServer
serverPropertiesPath StanfordCoreNLPServer
serverReady StanfordCoreNLPServer.ReadyHandler
If true, the server is running and ready for requests.
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) IndexedWord
set(String, Object) Expressions.CompositeValue
set(double, double) DoubleAD
set(double) SimpleTensor
set(T1) StochasticMinimizer.PropertySetter
set(String, Object) JSONOutputter.Writer
Set a (key, value) pair in a JSON object.
set(int, int, int) History
set(int, Tree) MemoryTreebank
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) ArrayCoreMap
Associates the given value with the given type for future calls
to get.
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) HashableCoreMap
Sets the value associated with the given key; if the the key is one
of the hashable keys, throws an exception.
set(int, int) IntTuple
set(double) MutableDouble
set(int) MutableInteger
set(long) MutableLong
set(T) Pointer
Set the pointer.
set(Optional<T>) Pointer
Set the pointer to a possible value.
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) TypesafeMap
Associates the given value with the given type for future calls
to get.
SET_ANNOTATION_TAG_FUNCTION ValueFunctions
SET_VALUE_TAG_FUNCTION ValueFunctions
setAccepting(boolean) DFSAState
setAction(SequenceMatchAction<T>) SequencePattern
setActive(boolean) FileTreeNode
setAfter(String) CoreLabel
Set the whitespace String after the word.
setAfter(String) HasContext
Set the whitespace String after the word.
setAfter(String) IndexedWord
setAfter(String) CoreNLPProtos.Token.Builder
The whitespace/xml after the token
setAfter(String) Token
setAfterBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The whitespace/xml after the token
setAlternativeDependencies(CoreNLPProtos.DependencyGraph) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
setAlternativeDependencies(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph alternativeDependencies = 13;
setAltTag(String) MorphoFeatures
setAltValue(String) CoreNLPProtos.Timex.Builder
optional string altValue = 2;
setAltValueBytes(com.google.protobuf.ByteString) CoreNLPProtos.Timex.Builder
optional string altValue = 2;
setAmbClasses(AmbiguityClasses, int, TTags) Dictionary
This makes ambiguity classes from all words in the dictionary and remembers
their classes in the TagCounts
setAmount(double) SimpleQuantifiableEntity
setAnchor(AceCharSeq) AceEventMention
setAnimacy(String) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
setAnimacy(String) CoreNLPProtos.Mention.Builder
optional string animacy = 5;
setAnimacyBytes(com.google.protobuf.ByteString) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string animacy = 5;
setAnimacyBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
optional string animacy = 5;
setAnnotatedParseTree(CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
setAnnotatedParseTree(CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree annotatedParseTree = 32;
setAnnotation(Annotation) CoNLLDocumentReader.CoNLLDocument
setAnnotation(Annotation) CoNLL2011DocumentReader.Document
setAnnotationsToSkip(Set<String>) BasicEntityExtractor
setAnswer(String) CoreNLPProtos.Token.Builder
A temporary annotation which is occasionally left in
setAnswerBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
A temporary annotation which is occasionally left in
setAppositions(int, int) CoreNLPProtos.Mention.Builder
repeated int32 appositions = 54;
setArg(int, AceEntityMention, String) AceRelationMention
setArg(int, CoreNLPProtos.Entity) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
setArg(int, CoreNLPProtos.Entity.Builder) CoreNLPProtos.Relation.Builder
repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
setArgName(int, String) CoreNLPProtos.Relation.Builder
repeated string argName = 6;
setArgNames(List<String>) RelationMention
setArgs(List<ExtractionObject>) EventMention
setArgs(List<ExtractionObject>) RelationMention
setAssumedTruth(boolean) CoreNLPProtos.SentenceFragment.Builder
optional bool assumedTruth = 3;
setAttr(String, String) LatticeEdge
setAttributionDependencyGraph(CoreNLPProtos.DependencyGraph) CoreNLPProtos.Quote.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
setAttributionDependencyGraph(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.Quote.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph attributionDependencyGraph = 22;
SetAttrValue(Env, Map<String, String>) TokenSequenceParser
SetAttrValues(Env) TokenSequenceParser
setAuthor(String) CoreNLPProtos.Quote.Builder
optional string author = 11;
setAuthor(String) CoreNLPProtos.Section.Builder
optional string author = 3;
setAuthorBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string author = 11;
setAuthorBytes(com.google.protobuf.ByteString) CoreNLPProtos.Section.Builder
optional string author = 3;
setAuthorCharBegin(int) CoreNLPProtos.Section.Builder
optional uint32 authorCharBegin = 7;
setAuthorCharEnd(int) CoreNLPProtos.Section.Builder
optional uint32 authorCharEnd = 8;
setAuxReader(GenericDataSetReader) MachineReading
setBackend(AnnotatorImplementations) Document
Set the backend implementations for our CoreNLP pipeline.
setBarePlural(List<Mention>) DependencyCorefMentionFinder
setBarePlural(List<Mention>) RuleBasedCorefMentionFinder
setBarePlural(List<Mention>) RuleBasedCorefMentionFinder
setBasicDependencies(CoreNLPProtos.DependencyGraph) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
setBasicDependencies(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph basicDependencies = 8;
setBatchSize(int) InefficientSGDMinimizer
setBatchSize(int) ScaledSGDMinimizer
setBatchSize(int) SMDMinimizer
setBeamSize(int) CharniakParser
setBefore(String) CoreLabel
Set the whitespace String before the word.
setBefore(String) HasContext
Set the whitespace String before the word.
setBefore(String) IndexedWord
setBefore(String) CoreNLPProtos.Token.Builder
The whitespace/xml before the token
setBefore(String) Token
setBeforeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The whitespace/xml before the token
setBegin(int) CoreNLPProtos.Quote.Builder
optional uint32 begin = 2;
setBegin(int) CoreNLPProtos.Span.Builder
required uint32 begin = 1;
setBeginChar(int) CoreNLPProtos.Token.Builder
The character offset begin, in the document
setBeginIndex(int) CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 beginIndex = 6;
setBeginIndex(int) CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
setBeginPoint(int) CoreNLPProtos.Timex.Builder
optional uint32 beginPoint = 6;
setBeginPosition(int) CoreLabel
Set the beginning character offset for the label.
setBeginPosition(int) HasOffset
Set the beginning character offset for the label.
setBeginPosition(int) IndexedWord
setBeginPosition(int) StringLabel
setBeginPosition(int) Token
setBelongToLists(int, int) CoreNLPProtos.Mention.Builder
repeated int32 belongToLists = 58;
setBiasWeight(String, double) CRFBiasedClassifier
setBiasWeight(int, double) CRFBiasedClassifier
setBinarizedParseTree(CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
setBinarizedParseTree(CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree binarizedParseTree = 31;
setBinary() LambdaSolve
setBranchLimit(int) SequenceMatcher
setC(double) SVMLightClassifierFactory
Set the C parameter (for the slack variables) for training the SVM.
setCalendar(long) CoreNLPProtos.Document.Builder
optional uint64 calendar = 8;
setCanonicalEntityMentionIndex(int) CoreNLPProtos.NERMention.Builder
optional uint32 canonicalEntityMentionIndex = 11;
setCanonicalMention(String) CoreNLPProtos.Quote.Builder
optional string canonicalMention = 19;
setCanonicalMentionBegin(int) CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionBegin = 20;
setCanonicalMentionBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string canonicalMention = 19;
setCanonicalMentionEnd(int) CoreNLPProtos.Quote.Builder
optional uint32 canonicalMentionEnd = 21;
setCapacity(int) ArrayCoreMap
setCategory(String) CategoryWordTag
setCategory(String) CoreLabel
Set the category value for the label (if one is stored).
setCategory(String) HasCategory
Set the category value for the label (if one is stored).
setCategory(String) CoreNLPProtos.Token.Builder
The word's 'category' (e.g., parse tree node)
setCategoryBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's 'category' (e.g., parse tree node)
setCategoryWordTag(String, String, String) CategoryWordTag
setChainID(int) CoreNLPProtos.CorefChain.Builder
required int32 chainID = 1;
setChapterIndex(int) CoreNLPProtos.Sentence.Builder
quote stuff
setCharacter(int, CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
setCharacter(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 10;
setCharacter(int, CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
setCharacter(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token character = 19;
setCharacterOffsetBegin(int) CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetBegin = 5;
setCharacterOffsetEnd(int) CoreNLPProtos.Sentence.Builder
optional uint32 characterOffsetEnd = 6;
setCharBegin(int) CoreNLPProtos.Section.Builder
required uint32 charBegin = 1;
setCharEnd(int) CoreNLPProtos.Section.Builder
required uint32 charEnd = 2;
setChild(int, CoreNLPProtos.ParseTree) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
setChild(int, CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.ParseTree.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
setChild(SemgrexPattern) CoordinationPattern
setChild(SemgrexPattern) NodePattern
setChild(int, Tree) Tree
Replaces the ith child of this with the tree t.
setChild(int, Tree) TreeGraphNode
setChild(TregexPattern) DescriptionPattern
setChildren(Tree[]) LabeledScoredTreeNode
Sets the children of this Tree.
setChildren(Tree[]) SimpleTree
Sets the children of this Tree.
setChildren(Tree[]) Tree
Set the children of this node to be the children given in the
array.
setChildren(List<? extends Tree>) Tree
Set the children of this tree node to the given list.
setChildren(Tree[]) TreeGraphNode
Sets the children of this TreeGraphNode.
setChildren(List<? extends Tree>) TreeGraphNode
Set the children of this tree node to the given list.
setChineseChar(String) CoreNLPProtos.Token.Builder
Chinese character info
setChineseCharBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
Chinese character info
setChineseSeg(String) CoreNLPProtos.Token.Builder
optional string chineseSeg = 55;
setChineseSegBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
optional string chineseSeg = 55;
setChineseXMLChar(String) CoreNLPProtos.Token.Builder
optional string chineseXMLChar = 60;
setChineseXMLCharBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
optional string chineseXMLChar = 60;
setClass(String) AceEntity
setClass2KeyMapping(File) Token
setClosedClassTags(String[]) TTags
setCoarseNER(String) CoreNLPProtos.Token.Builder
The word's coarse NER tag
setCoarseNERBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's coarse NER tag
setCoarseTag(String) CoreNLPProtos.Token.Builder
The coarse POS tag (used to store the UPOS tag)
setCoarseTagBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The coarse POS tag (used to store the UPOS tag)
setCollapsedCCProcessedDependencies(CoreNLPProtos.DependencyGraph) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
setCollapsedCCProcessedDependencies(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedCCProcessedDependencies = 10;
setCollapsedDependencies(CoreNLPProtos.DependencyGraph) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
setCollapsedDependencies(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph collapsedDependencies = 9;
setColorChannels(boolean) OutputHandler
setConfidence(double) CoreNLPProtos.RelationTriple.Builder
The [optional] confidence of the extraction
setConllUFeatures(CoreNLPProtos.MapStringString) CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
setConllUFeatures(CoreNLPProtos.MapStringString.Builder) CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUFeatures = 32;
setConllUMisc(String) CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
setConllUMiscBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
optional string conllUMisc = 35;
setConllUSecondaryDeps(CoreNLPProtos.MapStringString) CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
setConllUSecondaryDeps(CoreNLPProtos.MapStringString.Builder) CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.MapStringString conllUSecondaryDeps = 36;
setConllUTokenSpan(CoreNLPProtos.Span) CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
setConllUTokenSpan(CoreNLPProtos.Span.Builder) CoreNLPProtos.Token.Builder
optional .edu.stanford.nlp.pipeline.Span conllUTokenSpan = 34;
setConsoleLevel(Level) MachineReading
setConstraints(List<ParserConstraint>) ParserQuery
setConstraints(List<ParserConstraint>) LexicalizedParserQuery
setConstraints(List<ParserConstraint>) RerankingParserQuery
setConstraints(List<ParserConstraint>) ShiftReduceParserQuery
setCopyAnnotation(int) CoreNLPProtos.DependencyGraph.Node.Builder
optional uint32 copyAnnotation = 3;
setCopyCount(int) IndexedWord
setCopyCount(int) CoreNLPProtos.IndexedWord.Builder
optional uint32 copyCount = 4;
setCorefChain(int, CoreNLPProtos.CorefChain) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
setCorefChain(int, CoreNLPProtos.CorefChain.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
setCorefClusterID(int) CoreNLPProtos.Mention.Builder
optional int32 corefClusterID = 15;
setCorefClusterID(int) CoreNLPProtos.Token.Builder
The [primary] cluster id for this token
setCorefID(String) EntityMention
setCorefID(String) CoreNLPProtos.Entity.Builder
optional string corefID = 11;
setCorefIDBytes(com.google.protobuf.ByteString) CoreNLPProtos.Entity.Builder
optional string corefID = 11;
setCorefMentionIndex(int, int) CoreNLPProtos.Token.Builder
mention index info
setCorefMentionToEntityMentionMappings(int, int) CoreNLPProtos.Document.Builder
repeated uint32 corefMentionToEntityMentionMappings = 17;
setCorrectTags(List<? extends HasTag>) TestSentence
setCosts(double, double, double, double) MaxMarginMentionRanker.Builder
setCount(E, double) ClassicCounter
Sets the count for the given key to be the given value.
setCount(E, double) Counter
Sets the count for the given key to be the given value.
setCount(E, int) IntCounter
Sets the current count for the given key.
setCount(E, String) IntCounter
setCount(E, double) IntCounter
setCount(K1, K2, double) TwoDimensionalCounter
setCount(K1, K2, double) TwoDimensionalCounterInterface
setCount(K1, K2, double) TwoDimensionalIntCounter
setCount(K1, K2, int) TwoDimensionalIntCounter
setCounter(K1, Counter<K2>) TwoDimensionalCounter
replace the counter for K1-index o by new counter c
setCounter(K1, IntCounter<K2>) TwoDimensionalIntCounter
replace the counter for K1-index o by new counter c
setCounts(Collection<E>, int) IntCounter
Sets the current count for each of the given keys.
setCreateUnrelatedRelations(boolean) BasicRelationExtractor
setCurEncoding(String) FileTreeModel
setCustom(Object) Match
setDataPath(String) StatisticalCorefTrainer
setDatasets(Pair<Annotation, Annotation>[]) MachineReading
setDate(int, int, int) SUTime.IsoDate
setDatetime(String) CoreNLPProtos.Section.Builder
optional string datetime = 5;
setDatetimeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Section.Builder
optional string datetime = 5;
setDay(int) SUTime.IsoDate
setDBName(String) GoogleNGramsSQLBacked
setDefaultColor(Color) DisplayMatchesPanel
setDefaultColor(Color) ScrollableTreeJPanel
setDefaultNegTag(String) LabeledChunkIdentifier
setDefaultNestedResultsAnnotationKey(Class) Env
setDefaultPosTag(String) LabeledChunkIdentifier
setDefaultResultAnnotationKey(Class...) Env
setDefaultResultAnnotationKey(List<Class>) Env
setDefaultResultsAnnotationExtractor(Function<MatchedExpression, ?>) Env
setDefaultReturnValue(double) ClassicCounter
Sets the default return value.
setDefaultReturnValue(double) Counter
Sets the default return value.
setDefaultReturnValue(double) IntCounter
setDefaultReturnValue(int) IntCounter
setDefaults(Map<String, Object>) Env
setDefaultStringMatchFlags(int) Env
setDefaultStringPatternFlags(int) Env
setDefaultTextAnnotationKey(Class) Env
setDefaultTokensAggregators(Map<Class, CoreMapAttributeAggregator>) Env
setDefaultTokensAnnotationKey(Class) Env
setDefaultTokensResultAnnotationKey(Class...) Env
setDefaultTokensResultAnnotationKey(List<Class>) Env
setDefaultUnit(Unit) Unit
setDefaultUnitScale(double) Unit
setDeleteTempFilesOnExitFlag(boolean) SVMLightClassifierFactory
setDelimPadSize(int) ConfusionMatrix
Sets the width used to separate cells in the table.
setDep(String) CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
setDep(IndexedWord) TypedDependency
setDepBytes(com.google.protobuf.ByteString) CoreNLPProtos.DependencyGraph.Edge.Builder
optional string dep = 3;
setDependents(int, String) CoreNLPProtos.Mention.Builder
repeated string dependents = 52;
setDependingVerb(CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
setDependingVerb(CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord dependingVerb = 31;
setDeterminism(boolean) TransducerGraph
setDiffConstituents(Set<Constituent>) ScrollableTreeJPanel
setDiffConstituents(Set<Constituent>) TreeFromFile
setDiffDecoratedTree(Tree) TreeFromFile
setDiscourseTags(String, String) CleanXmlAnnotator
setDocAnnotationPatterns(String) CleanXmlAnnotator
setDocDate(String) CoreNLPProtos.Document.Builder
optional string docDate = 7;
setDocDateBytes(com.google.protobuf.ByteString) CoreNLPProtos.Document.Builder
optional string docDate = 7;
setDocID(String) CoreLabel setDocID(String) HasIndex
setDocID(String) IndexedWord
setDocID(String) CoreNLPProtos.Document.Builder
optional string docID = 4;
setDocID(int) CoreNLPProtos.IndexedWord.Builder
optional uint32 docID = 3;
setDocid(String) CoreNLPProtos.Quote.Builder
optional string docid = 9;
setDocID(String) CoreNLPProtos.Sentence.Builder
doc id
setDocid(String) Document
Sets the document id of the document, returning this.
setDocID(String) Token
setDocIDBytes(com.google.protobuf.ByteString) CoreNLPProtos.Document.Builder
optional string docID = 4;
setDocidBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string docid = 9;
setDocIDBytes(com.google.protobuf.ByteString) CoreNLPProtos.Sentence.Builder
doc id
setDocIdTagMatcher(String) CleanXmlAnnotator
setDocTypeTagMatcher(String) CleanXmlAnnotator
setDocumentID(String) CoNLLDocumentReader.CoNLLDocument
setDocumentID(String) CoNLL2011DocumentReader.Document
setDoNotLexicalizeFirstArgument(boolean) RelationFeatureFactory
setDoSelectiveSplit(boolean) TreeAnnotatorAndBinarizer
setDoSelectiveSplit(boolean) TreeBinarizer
If this is set to true, then the binarizer will choose selectively whether or not to
split states based on how many counts the states had in a previous run.
setdot(double) DoubleAD
setEdge(int, LatticeEdge) Lattice
setEdge(int, CoreNLPProtos.DependencyGraph.Edge) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
setEdge(int, CoreNLPProtos.DependencyGraph.Edge.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
setEdge(String) NegraLabel
setElementDelimiter(String) DocumentPreprocessor
Only read text from inside these XML elements if in XML mode.
setEnableTsurgeon(boolean) Preferences
setEncoding(String) Preferences
setEnd(int) RobustTokenizer.WordToken
setEnd(int) Span
setEnd(int) CoreNLPProtos.Quote.Builder
optional uint32 end = 3;
setEnd(int) CoreNLPProtos.Span.Builder
required uint32 end = 2;
setEnd(int) Constituent
set end node.
setEnd(int) SimpleConstituent
set end node.
setEndChar(int) CoreNLPProtos.Token.Builder
The character offset end, in the document
setEndIndex(int) CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 endIndex = 7;
setEndIndex(int) CoreNLPProtos.Mention.Builder
optional uint32 endIndex = 9;
setEndIndex(int) CoreNLPProtos.Token.Builder
The begin index of, e.g., a span
setEndNode(Object) TransducerGraph
setEndPoint(int) CoreNLPProtos.Timex.Builder
optional uint32 endPoint = 7;
setEndPosition(int) CoreLabel
Set the ending character offset of the label (or -1 if none).
setEndPosition(int) HasOffset
Set the ending character offset of the label (or -1 if none).
setEndPosition(int) IndexedWord
setEndPosition(int) StringLabel
setEndPosition(int) Token
setEnhancedDependencies(CoreNLPProtos.DependencyGraph) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
setEnhancedDependencies(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedDependencies = 17;
setEnhancedPlusPlusDependencies(CoreNLPProtos.DependencyGraph) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
setEnhancedPlusPlusDependencies(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.DependencyGraph enhancedPlusPlusDependencies = 18;
setEntailedClause(int, CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
setEntailedClause(int, CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
The entailed clauses, by natural logic
setEntailedSentence(int, CoreNLPProtos.SentenceFragment) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
setEntailedSentence(int, CoreNLPProtos.SentenceFragment.Builder) CoreNLPProtos.Sentence.Builder
The entailed sentences, by natural logic
setEntity(int, CoreNLPProtos.Entity) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
setEntity(int, CoreNLPProtos.Entity.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
setEntityMentionIndex(int) CoreNLPProtos.NERMention.Builder
optional uint32 entityMentionIndex = 10;
setEntityMentionIndex(int) CoreNLPProtos.Token.Builder
optional uint32 entityMentionIndex = 65;
setEntityMentionText(String) CoreNLPProtos.NERMention.Builder
optional string entityMentionText = 12;
setEntityMentionTextBytes(com.google.protobuf.ByteString) CoreNLPProtos.NERMention.Builder
optional string entityMentionText = 12;
setEntityMentionToCorefMentionMappings(int, int) CoreNLPProtos.Document.Builder
repeated uint32 entityMentionToCorefMentionMappings = 18;
setEntityResultsPrinterSet(Set<ResultsPrinter>) MachineReading
setEntityType(String) CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
setEntityTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.NERMention.Builder
optional string entityType = 6;
setEnv(Env) SemgrexPattern
Recursively sets the env variable to this pattern and all its children
setEnvBindRestriction(String) Token
setEolString(String) TokenizerAdapter
Set the String returned when the inner tokenizer
returns an end-of-line token.
setEpsilon(double) LinearClassifierFactory
setEpsilon(double) LogPrior
setError() RedwoodPrintStream
setEscaper(Function<List<HasWord>, List<HasWord>>) DocumentPreprocessor
Set an escaper.
setEvalCmd(String) CRFClassifierEvaluator
Set the evaluation command (set to null to skip evaluation using command line)
setEvalGF(boolean) AbstractTreebankParserParams
setEvaluateGrammaticalFunctions(boolean) AbstractTreebankParserParams
Sets whether to consider grammatical functions in evaluation
setEvaluateGrammaticalFunctions(boolean) TreebankLangParserParams
If evalGFs = true, then the evaluation of parse trees will include evaluation on grammatical functions.
setEvaluators(int, Evaluator[]) LinearClassifierFactory
setEvaluators(int, Evaluator[]) HasEvaluators
setEvaluators(int, Evaluator[]) HybridMinimizer
setEvaluators(int, Evaluator[]) QNMinimizer
setEvaluators(int, int, Evaluator[]) QNMinimizer
setEvaluators(int, Evaluator[]) SGDMinimizer
setEvaluators(int, Evaluator[]) SGDWithAdaGradAndFOBOS
setEvaluators(int, Evaluator[]) StochasticMinimizer
setExtension(<any>, Type) CoreNLPProtos.Document.Builder
setExtension(<any>, int, Type) CoreNLPProtos.Document.Builder
setExtension(<any>, Type) CoreNLPProtos.Sentence.Builder
setExtension(<any>, int, Type) CoreNLPProtos.Sentence.Builder
setExtension(<any>, Type) CoreNLPProtos.Token.Builder
setExtension(<any>, int, Type) CoreNLPProtos.Token.Builder
setExtent(Span) ExtractionObject
setExtentEnd(int) CoreNLPProtos.Entity.Builder
optional uint32 extentEnd = 3;
setExtentEnd(int) CoreNLPProtos.Relation.Builder
optional uint32 extentEnd = 3;
setExtentStart(int) CoreNLPProtos.Entity.Builder
optional uint32 extentStart = 2;
setExtentStart(int) CoreNLPProtos.Relation.Builder
optional uint32 extentStart = 2;
setExtra() TypedDependency
setExtractEntities(boolean) MachineReading
setExtractEvents(boolean) MachineReading
setExtractRelations(boolean) MachineReading
setExtractRules(SequenceMatchRules.ExtractRule<CoreMap, T>, SequenceMatchRules.ExtractRule<List<? extends CoreMap>, T>, Predicate<T>) CoreMapExpressionExtractor
setFeatureCountThreshold(int) BasicRelationExtractor
setFeatureGrouping(int[][]) CRFLogConditionalObjectiveFunction
setFeatureValue(String, String) NegraLabel
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.CorefChain.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.CorefChain.CorefMention.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.DependencyGraph.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.DependencyGraph.Edge.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.DependencyGraph.Node.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Document.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Entity.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.IndexedWord.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.MapIntString.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.MapStringString.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Mention.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.NERMention.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Operator.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.ParseTree.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Polarity.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Quote.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Relation.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.RelationTriple.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Section.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Sentence.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.SentenceFragment.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Span.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.SpeakerInfo.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Timex.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.Token.Builder
setField(com.google.protobuf.Descriptors.FieldDescriptor, Object) CoreNLPProtos.TokenLocation.Builder
setField(Partial, DateTimeFieldType, int) JodaTimeUtils
setFileChooser(JFileChooser) OpenPageDialog
Sets the file chooser used by the Browse button
setFilename(String) InputPanel.TRegexGUITreeVisitor
setFilename(String) TreeFromFile
setFilter(String) CoNLLDocumentReader.Options
setFilter(String) CoNLL2011DocumentReader.Options
setFindType(SequenceMatcher.FindType) SequenceMatcher
setFineGrainedNER(String) CoreNLPProtos.Token.Builder
The word's fine-grained NER tag
setFineGrainedNERBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's fine-grained NER tag
setFirst(T1) Pair
setFirst(T1) Quadruple
setFirst(T1) Triple
setFolds(int) SVMLightClassifierFactory
setFont(String) Preferences
setFontName(String) DisplayMatchesPanel
setFontName(String) MatchesPanel
setFontName(String) ScrollableTreeJPanel
setFontSize(int) DisplayMatchesPanel
setFontSize(int) Preferences
setFontSize(int) ScrollableTreeJPanel
setFontSizeRepaint(int) DisplayMatchesPanel
setForceParseSentences(boolean) MachineReading
setFourth(T4) Quadruple
setFromString(String) CategoryWordTag
Set everything by reversing a toString operation.
setFromString(String) CoreLabel
Set the contents of this label to this String
representing the
complete contents of the label.
setFromString(String) IndexedWord
Set the contents of this label to this String
representing the
complete contents of the label.
setFromString(String) Label
Set the contents of this label to this String
representing the
complete contents of the label.
setFromString(String) StringLabel
Set the label from a String.
setFromString(String) TaggedWord
Sets a TaggedWord from decoding
the String passed in.
setFromString(String, String) TaggedWord
setFromString(String) ValueLabel
setFromString(String) WordLemmaTag
The String is divided according to the divider character (usually, "/").
setFromString(String, String) WordLemmaTag
setFromString(String) WordTag
Sets a WordTag from decoding
the String passed in.
setFromString(String, String) WordTag
setFromString(String) Constituent
Make a new label with this String as the "name", perhaps
by doing some appropriate decoding of the string.
setFromString(String) LabeledConstituent
setFromString(String) Tree
setGender(String) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
setGender(String) CoreNLPProtos.Mention.Builder
optional string gender = 4;
setGender(String) CoreNLPProtos.NERMention.Builder
optional string gender = 9;
setGender(String) CoreNLPProtos.Token.Builder
Fields set by other annotators in CoreNLP
setGenderBytes(com.google.protobuf.ByteString) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string gender = 4;
setGenderBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
optional string gender = 4;
setGenderBytes(com.google.protobuf.ByteString) CoreNLPProtos.NERMention.Builder
optional string gender = 9;
setGenderBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
Fields set by other annotators in CoreNLP
setGeneralWordClassClusters(Map<String, Integer>) ConstantsAndVariables
setGenerateOriginalDependencies(boolean) AbstractTreebankParserParams
For languages that have implementations of the
original Stanford dependencies and Universal
dependencies, this parameter is used to decide which
implementation should be used.
setGenerateOriginalDependencies(boolean) TreebankLangParserParams
Set whether to generate original Stanford Dependencies or the newer
Universal Dependencies.
setGenerateOriginalDependencies(boolean) AbstractTreebankLanguagePack
setGenerateOriginalDependencies(boolean) TreebankLanguagePack
Used for languages where an original Stanford Dependency
converter and a Universal Dependency converter exists.
setGeneric(boolean) CoreNLPProtos.Mention.Builder
optional bool generic = 25;
setGenericity(String) AceEvent
setGenre(SurfacePatternFactory.Genre) SurfacePattern
setGfCharacter(char) AbstractTreebankLanguagePack
setGfCharacter(char) TreebankLanguagePack
Sets the grammatical function indicating character to gfCharacter.
setGlobal(Interner<Object>) SynchronizedInterner
For supplying a new instance for the global methods to use.
setGlobal(Interner<Object>) Interner
For supplying a new instance for the global methods to use.
setGlobalHolder(MaxentTagger) DictionaryExtractor
Any subclass of this extractor that overrides setGlobalHolder
should call this class's setGlobalHolder as well...
setGlobalHolder(MaxentTagger) Extractor
Subclasses should override this method and keep only the data
they want about the tagger.
setGlobalHolder(MaxentTagger) Extractors
setGoal(int) BiLexPCFGParser
setGoldClass(Tree, int) RNNCoreAnnotations
setGoldCorefClusterID(int) CoreNLPProtos.Mention.Builder
optional int32 goldCorefClusterID = 14;
setGov(IndexedWord) TypedDependency
setGreedyMatch(boolean) MultiNodePattern
setHasBasicDependency(boolean) CoreNLPProtos.Mention.Builder
optional bool hasBasicDependency = 27;
setHasContextParseTree(boolean) CoreNLPProtos.Mention.Builder
optional bool hasContextParseTree = 29;
setHasCorefAnnotation(boolean) CoreNLPProtos.Document.Builder
optional bool hasCorefAnnotation = 16;
setHasCorefMentionAnnotation(boolean) CoreNLPProtos.Document.Builder
optional bool hasCorefMentionAnnotation = 15;
setHasCorefMentionsAnnotation(boolean) CoreNLPProtos.Sentence.Builder
optional bool hasCorefMentionsAnnotation = 57;
setHasEnhancedDepenedncy(boolean) CoreNLPProtos.Mention.Builder
optional bool hasEnhancedDepenedncy = 28;
setHasEntityMentionsAnnotation(boolean) CoreNLPProtos.Document.Builder
used to differentiate between null and empty list
setHasEntityMentionsAnnotation(boolean) CoreNLPProtos.Sentence.Builder
check if there are entity mentions
setHasKBPTriplesAnnotation(boolean) CoreNLPProtos.Sentence.Builder
check if there are KBP triples
setHasNumerizedTokensAnnotation(boolean) CoreNLPProtos.Sentence.Builder
optional bool hasNumerizedTokensAnnotation = 54;
setHasOpenieTriplesAnnotation(boolean) CoreNLPProtos.Sentence.Builder
check if there are OpenIE triples
setHasRelationAnnotations(boolean) CoreNLPProtos.Sentence.Builder
Fields set by other annotators in CoreNLP
setHasTwin(boolean) CoreNLPProtos.Mention.Builder
optional bool hasTwin = 24;
setHasXmlContext(boolean) CoreNLPProtos.Token.Builder
Used by clean xml annotator
setHeadEnd(int) CoreNLPProtos.Entity.Builder
optional uint32 headEnd = 7;
setHeadFinder(HeadFinder) SpanishTreebankParserParams
setHeadFinder(HeadFinder) InputPanel
setHeadFinder(HeadFinder) Preferences
setHeadIndex(int) CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 headIndex = 9;
setHeadIndex(int) CoreNLPProtos.Mention.Builder
optional uint32 headIndex = 10;
setHeadIndexedWord(CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
setHeadIndexedWord(CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headIndexedWord = 30;
setHeadStart(int) CoreNLPProtos.Entity.Builder
optional uint32 headStart = 6;
setHeadString(String) CoreNLPProtos.Mention.Builder
optional string headString = 11;
setHeadStringBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
optional string headString = 11;
setHeadTokenIndex(int) CoreNLPProtos.Entity.Builder
optional uint32 headTokenIndex = 10;
setHeadTokenPosition(int) EntityMention
setHeadTokenSpan(Span) EntityMention
setHeadWord(CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
setHeadWord(CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.IndexedWord headWord = 32;
setHeadWordIndex(int) CoreNLPProtos.Token.Builder
optional string projectedCategory = 25; // The syntactic category of the maximal constituent headed by the word.
setHeldOutPercent(double) SVMLightClassifierFactory
setHeldOutSearcher(LineSearcher) LinearClassifierFactory
setHessSampleSize(int) SGDWithAdaGradAndFOBOS
setHighlightColor(Color) MatchesPanel
setHighlightColor(Color) Preferences
setHistory(List<double[]>, List<double[]>) QNMinimizer
setHistorySize(int) Preferences
setID(String) RVFDatum
Sets id for this instance
setIgnoreProvidedTag(boolean) LabeledChunkIdentifier
setIncludeNested(boolean) MatchedExpression
setIndex(int) CoreLabel setIndex(int) HasIndex
setIndex(int) IndexedWord
setIndex(int) CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 index = 2;
setIndex(int) CoreNLPProtos.Quote.Builder
optional uint32 index = 10;
setIndex(int) Token
setIndex(int) TreeGraphNode
Set the index for the current node.
setInitialSequence(int[]) CRFCliqueTree
Informs this sequence model that the value of the whole sequence is
initialized to sequence
setInitialSequence(int[]) EntityCachingAbstractSequencePriorBIO
setInitialSequence(int[]) FactoredSequenceListener
Informs this sequence model that the value of the whole sequence is initialized to sequence
setInitialSequence(int[]) SequenceListener
Informs this sequence listener that the value of the whole sequence is initialized to sequence.
setInitialState(DFSAState<T, S>) DFSA
setInput(Properties, CorefProperties.Dataset) CorefProperties
setInput(IN) TransducerGraph.Arc
setInputEncoding(String) AbstractTreebankParserParams
Sets the input encoding.
setInputEncoding(String) TreebankLangParserParams
setInsertNPinPP(boolean) NegraPennTreeNormalizer
setIsDirectObject(boolean) CoreNLPProtos.Mention.Builder
optional bool isDirectObject = 21;
setIsExtra(boolean) CoreNLPProtos.DependencyGraph.Edge.Builder
optional bool isExtra = 4;
setIsExtra(boolean) SemanticGraphEdge
setIsIndirectObject(boolean) CoreNLPProtos.Mention.Builder
optional bool isIndirectObject = 22;
setIsNewline(boolean) CoreNLPProtos.Token.Builder
optional bool isNewline = 38;
setIsPrepositionObject(boolean) CoreNLPProtos.Mention.Builder
optional bool isPrepositionObject = 23;
setIsSingleton(boolean) CoreNLPProtos.Mention.Builder
optional bool isSingleton = 26;
setIsSubject(boolean) CoreNLPProtos.Mention.Builder
optional bool isSubject = 20;
setIstmod(boolean) CoreNLPProtos.RelationTriple.Builder
If true, this expresses an implicit tmod relation
setIterationCallbackFunction(CallbackFunction) CGMinimizer
setIterationCallbackFunction(CallbackFunction) QNMinimizer
setKBestParseTrees(int, CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
setKBestParseTrees(int, CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
setKbpTriple(int, CoreNLPProtos.RelationTriple) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
setKbpTriple(int, CoreNLPProtos.RelationTriple.Builder) CoreNLPProtos.Sentence.Builder
The KBP triples in this sentence
setKeepEmptySentences(boolean) DocumentPreprocessor
Set whether or not the tokenizer keeps empty sentences in
whitespace mode.
setKeepOriginalText(boolean) DocumentReader
Sets whether created documents should store their source text along with tokenized words.
setKey(int, int) CoreNLPProtos.MapIntString.Builder
repeated uint32 key = 1;
setKey(int, String) CoreNLPProtos.MapStringString.Builder
repeated string key = 1;
setLabel(LabelType) BasicDatum
Removes all currently assigned Labels for this Datum then adds the
given Label.
setLabel(L) BasicDocument
Removes all currently assigned labels for this Document then adds
the given label.
setLabel(L) RVFDatum
Removes all currently assigned Labels for this Datum then adds the given
Label.
setLabel(String) LatticeEdge
setLabel(Label) Constituent
Sets the label associated with the current Constituent,
if there is one.
setLabel(Label) Labeled
Sets the label associated with this object.
setLabel(Label) LabeledConstituent
setLabel(Label) LabeledScoredTreeNode
Sets the label associated with the current node, if there is one.
setLabel(Label) Tree
Sets the label associated with the current node, if there is one.
setLabel(Label) TreeGraphNode
setLabel(CoreLabel) TreeGraphNode
Sets the label associated with the current node.
setLabelIndex(Index<L>) MultiClassPrecisionRecallExtendedStats
setLabels(Collection<LabelType>) BasicDatum
Removes all currently assigned labels for this Datum then adds all
of the given Labels.
setLabels(Collection<L>) BasicDocument
Removes all currently assigned labels for this Document then adds all
of the given labels.
setLabels(Collection<Label>) Constituent
setLabels(Collection<Label>) Labeled
Sets the labels associated with this object.
setLabels(Collection<Label>) Tree
setLanguage(CoreNLPProtos.Language) CoreNLPProtos.DependencyGraph.Edge.Builder
optional .edu.stanford.nlp.pipeline.Language language = 7 [default = Unknown];
setLdctype(String) AceEntityMention
setLeafLabels(Tree, List<Label>) Trees
Replace the labels of the leaves with the given leaves.
setLeafTagsIfUnset(Tree) Trees
Given a tree, set the tags on the leaf nodes if they are not
already set.
setLearnClosedTags(boolean) TTags
setLearnedPatterns(Counter<E>, String) GetPatternsFromDataMultiClass
setLearnedWordsEachIter(TreeMap<Integer, Counter<CandidatePhrase>>, String) ConstantsAndVariables
setLeaveGF(boolean) NegraPennLanguagePack
setLeaveGF(boolean) TueBaDZLanguagePack
setLeftPadSize(int) ConfusionMatrix
This sets the lefthand side pad width for displaying the text table.
setLemma(String) CoreLabel
Set the lemma value for the label (if one is stored).
setLemma(String) HasLemma
Set the lemma value for the label (if one is stored).
setLemma(String) IndexedWord
setLemma(String) WordLemmaTag
setLemma(String) CoreNLPProtos.Token.Builder
The word's lemma
setLemma(String) Token
setLemmaBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's lemma
setLex(Lexicon) ChineseSimWordAvgDepGrammar
setLexicon(Lexicon) AbstractDependencyGrammar
setLexicon(Lexicon) DependencyGrammar
Set the Lexicon, which the DependencyGrammar may use in scoring P(w|t).
setLimitedGF(boolean) TueBaDZLanguagePack
setLineNumber(int) CoreNLPProtos.Sentence.Builder
optional uint32 lineNumber = 20;
setListMembers(int, int) CoreNLPProtos.Mention.Builder
repeated int32 listMembers = 57;
setLoggerLevel(Level) BasicEntityExtractor
setLoggerLevel(Level) BasicRelationExtractor
setLoggerLevel(Level) Extractor
setLoggerLevel(Level) ExtractorMerger
setLoggerLevel(Level) GenericDataSetReader
setLoggerLevel(Level) MachineReading
setM(int) QNMinimizer
setM(int) SQNMinimizer
setMap(Map<K1, V1>) MapFactory
A method to get a parameterized (genericized) map out.
setMap(Map<K1, V1>, int) MapFactory
setMarkLineBreaks(boolean) StripTagsProcessor
Sets whether the output of the processor will contain newline words
("\n") at the end of block-level tags.
setMassiBbn(String) AceToken
setMassiClass(String) AceToken
setMassiWnss(String) AceToken
setMatch(TreeFromFile, List<Tree>) DisplayMatchesPanel
Used to set the single tree to be displayed in this panel (which should match
the tregex expression)
setMatchedColor(Color) DisplayMatchesPanel
setMatchedColor(Color) Preferences
setMatchedColor(Color) ScrollableTreeJPanel
setMatchedParts(List<Tree>) ScrollableTreeJPanel
setMatches(List<TreeFromFile>, Map<TreeFromFile, List<Tree>>) MatchesPanel
Used to set the trees to be displayed in this panel (which should match
the tregex expression).
setMatchPortionOnly(boolean) Preferences
setMatchType(MultiWordStringMatcher.MatchType) MultiWordStringMatcher
setMatchWithResult(boolean) MultiPatternMatcher
setMatchWithResult(boolean) SequenceMatcher
setMaxFontSize(int) TreeJPanel
setMaxMatches(int) MatchesPanel
setMaxMatches(int) Preferences
setMaxNodes(int) MultiNodePattern
setMaxPhraseLength(int) ExtractPhraseFromPattern
setMaxSentenceLength(int) CharniakParser
setMaxSize(int) MaxSizeConcurrentHashSet
setMaxTime(Long) ScaledSGDMinimizer
setMaxY(int[]) Experiments
setMem(int) LinearClassifierFactory
setMention(int, CoreNLPProtos.CorefChain.CorefMention) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
setMention(int, CoreNLPProtos.CorefChain.CorefMention.Builder) CoreNLPProtos.CorefChain.Builder
repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
setMention(String) CoreNLPProtos.Quote.Builder
optional string mention = 12;
setMentionBegin(int) CoreNLPProtos.Quote.Builder
optional uint32 mentionBegin = 13;
setMentionBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string mention = 12;
setMentionDetectionTraining(Properties, boolean) CorefProperties
setMentionEnd(int) CoreNLPProtos.Quote.Builder
optional uint32 mentionEnd = 14;
setMentionFinder(CorefMentionFinder) MentionExtractor
setMentionID(int) CoreNLPProtos.CorefChain.CorefMention.Builder
optional int32 mentionID = 1;
setMentionID(int) CoreNLPProtos.Mention.Builder
optional int32 mentionID = 1;
setMentionNum(int) CoreNLPProtos.Mention.Builder
optional uint32 mentionNum = 16;
setMentions(int, CoreNLPProtos.NERMention) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
setMentions(int, CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Document.Builder
This field is for entity mentions across the document.
setMentions(int, CoreNLPProtos.NERMention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
setMentions(int, CoreNLPProtos.NERMention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
setMentions(int, int) CoreNLPProtos.SpeakerInfo.Builder
repeated int32 mentions = 2;
setMentionsForCoref(int, CoreNLPProtos.Mention) CoreNLPProtos.Document.Builder
coref mentions for entire document *
setMentionsForCoref(int, CoreNLPProtos.Mention.Builder) CoreNLPProtos.Document.Builder
coref mentions for entire document *
setMentionsForCoref(int, CoreNLPProtos.Mention) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
setMentionsForCoref(int, CoreNLPProtos.Mention.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
setMentionSieve(String) CoreNLPProtos.Quote.Builder
optional string mentionSieve = 16;
setMentionSieveBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string mentionSieve = 16;
setMentionType(String) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
setMentionType(String) CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
setMentionType(String) CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
setMentionType(String) CoreNLPProtos.Quote.Builder
optional string mentionType = 15;
setMentionTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string mentionType = 2;
setMentionTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Entity.Builder
optional string mentionType = 8;
setMentionTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
optional string mentionType = 2;
setMentionTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string mentionType = 15;
setMergeThreshold(Properties, String, double) HybridCorefProperties
setMinFontSize(int) TreeJPanel
setMinimizerCreator(Factory<Minimizer<DiffFunction>>) LinearClassifierFactory
Sets the minimizer.
setMinNodes(int) MultiNodePattern
setMissingTags(CoreMap, Tree) ParserAnnotatorUtils
Set the tags of the original tokens and the leaves if they
aren't already set.
setModality(String) AceEvent
setMode(boolean) StringDictionary
setModification(String) EventMention
setMonth(int) SUTime.IsoDate
setmPolarity(String) AceEvent
setName(String) Unit
setName(String) UnitPrefix
setName(String) CoreNLPProtos.Operator.Builder
required string name = 1;
setNameBytes(com.google.protobuf.ByteString) CoreNLPProtos.Operator.Builder
required string name = 1;
setNamedEntityTagGranularity(Annotation, String) CorefAnnotator
setNamedEntityTagGranularity(Annotation, String) DeterministicCorefAnnotator
setNegLabel(String) LabeledChunkIdentifier
setNER(String) CoreLabel
Set the named entity class of the label.
setNER(String) HasNER
Set the named entity class of the label.
setNER(String) IndexedWord
setNer(String) CoreNLPProtos.NERMention.Builder
required string ner = 4;
setNer(String) CoreNLPProtos.Token.Builder
The word's NER tag
setNER(String) Token
setNerBytes(com.google.protobuf.ByteString) CoreNLPProtos.NERMention.Builder
required string ner = 4;
setNerBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's NER tag
setNerString(String) CoreNLPProtos.Mention.Builder
optional string nerString = 12;
setNerStringBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
optional string nerString = 12;
setNewLineCount(int) RobustTokenizer.WordToken
setNewlineStatus(List<CoreLabel>) TokenizerAnnotator
set isNewline()
setNextContext(Token[]) SurfacePattern
setNode(int, CoreNLPProtos.DependencyGraph.Node) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
setNode(int, CoreNLPProtos.DependencyGraph.Node.Builder) CoreNLPProtos.DependencyGraph.Builder
repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
setNonBinary() LambdaSolve
setNormalizationCacheSize(int) PhraseTable
setNormalizedName(String) EntityMention
setNormalizedName(String) CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
setNormalizedNameBytes(com.google.protobuf.ByteString) CoreNLPProtos.Entity.Builder
optional string normalizedName = 9;
setNormalizedNER(String) CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
setNormalizedNER(String) CoreNLPProtos.Token.Builder
The word's normalized NER tag
setNormalizedNERBytes(com.google.protobuf.ByteString) CoreNLPProtos.NERMention.Builder
optional string normalizedNER = 5;
setNormalizedNERBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's normalized NER tag
setNumber(Dictionaries) Mention
setNumber(Dictionaries) Mention
setNumber(String) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
setNumber(String) CoreNLPProtos.Mention.Builder
optional string number = 3;
setNumberBytes(com.google.protobuf.ByteString) CoreNLPProtos.CorefChain.CorefMention.Builder
optional string number = 3;
setNumberBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
optional string number = 3;
setNumOcc(int, int) Token
setNumRecentPatterns(int) InputPanel
setNumWordsCompound(Integer) SurfacePattern
setObject(String) CoreNLPProtos.RelationTriple.Builder
The surface form of the object
setObject(T) ScoredObject
setObjectBytes(com.google.protobuf.ByteString) CoreNLPProtos.RelationTriple.Builder
The surface form of the object
setObjectID(String) CoreNLPProtos.Entity.Builder
inherited from ExtractionObject
setObjectID(String) CoreNLPProtos.Relation.Builder
inherited from ExtractionObject
setObjectIDBytes(com.google.protobuf.ByteString) CoreNLPProtos.Entity.Builder
inherited from ExtractionObject
setObjectIDBytes(com.google.protobuf.ByteString) CoreNLPProtos.Relation.Builder
inherited from ExtractionObject
setObjectSpanBegin(int) CoreNLPProtos.Operator.Builder
required int32 objectSpanBegin = 6;
setObjectSpanEnd(int) CoreNLPProtos.Operator.Builder
required int32 objectSpanEnd = 7;
setObjectTokens(int, CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
setObjectTokens(int, CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the object of the triple
setOldOptions() QNMinimizer
setOpenClassTags(String[]) TTags
setOpenieTriple(int, CoreNLPProtos.RelationTriple) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
setOpenieTriple(int, CoreNLPProtos.RelationTriple.Builder) CoreNLPProtos.Sentence.Builder
The OpenIE triples in the sentence
setOperator(CoreNLPProtos.Operator) CoreNLPProtos.Token.Builder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
setOperator(CoreNLPProtos.Operator.Builder) CoreNLPProtos.Token.Builder
If this is an operator, which one is it and what is its scope (as per Natural Logic)?
setOption(String[], int) Options
Set an option based on a String array in the style of
commandline flags.
setOption(String[], int) RNNOptions
setOption(String[], int) RNNTestOptions
setOption(String[], int) RNNTrainOptions
setOptionFlag(String[], int) AbstractTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) ArabicTreebankParserParams
Some options for setOptionFlag:
setOptionFlag(String[], int) ChineseTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) EnglishTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) FrenchTreebankParserParams
setOptionFlag(String[], int) NegraPennTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) Options
Set an option in this object, based on a String array in the style of
commandline flags.
setOptionFlag(String[], int) SpanishTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) TreebankLangParserParams
Set a language-specific option according to command-line flags.
setOptionFlag(String[], int) TueBaDZParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) ShiftReduceOptions
setOptionFlags(String...) ParserGrammar
setOptionFlags(String...) LexicalizedParser
This will set options to the parser, in a way exactly equivalent to
passing in the same sequence of command-line arguments.
setOptionFlags(String...) ShiftReduceParser
setOptionFlags(String...) ViterbiParserWithOptions
This will set options to a parser, in a way generally equivalent to
passing in the same sequence of command-line arguments.
setOptionOrWarn(String[], int) Options
Set an option based on a String array in the style of
commandline flags.
setOptions(Properties) ATBArabicDataset
setOptions(String) ArabicTokenizer.ArabicTokenizerFactory
options: A comma-separated list of options
setOptions(Properties) FTBDataset
setOptions(String) FrenchTokenizer.FrenchTokenizerFactory
Set underlying tokenizer options.
setOptions(String) SpanishTokenizer.SpanishTokenizerFactory
Set underlying tokenizer options.
setOptions(String...) Options
Set options based on a String array in the style of
commandline flags.
setOptions(String[], int, int) Options
Set options based on a String array in the style of
commandline flags.
setOptions(String) PTBTokenizer.PTBTokenizerFactory
setOptions(String) TokenizerFactory
Sets default options for how tokenizers built from this factory should behave.
setOptions(String) WhitespaceTokenizer.WhitespaceTokenizerFactory
setOptions(Properties) AbstractDataset
setOptions(Properties) Dataset
Sets options for a dataset.
setOptions(String) TreeTokenizerFactory
setOptionsOrWarn(String...) Options
Set options based on a String array in the style of
commandline flags.
setOptionsOrWarn(String[], int, int) Options
Set options based on a String array in the style of
commandline flags.
setOrder(int) BasicSequenceMatchResult
setOriginalRef(int) CoreNLPProtos.Mention.Builder
optional uint32 originalRef = 13;
setOriginalSpan(int, CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
setOriginalSpan(int, CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
setOriginalText(String) CoreLabel
Set the String which is the original character sequence of the token.
setOriginalText(String) HasContext
Set the String which is the original character sequence of the token.
setOriginalText(String) HasOriginalText
setOriginalText(String) IndexedWord
setOriginalText(String) CoreNLPProtos.Token.Builder
The original text for this token
setOriginalText(String) Token
setOriginalTextBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The original text for this token
setOtherSemanticClassesWords(Set<CandidatePhrase>) ConstantsAndVariables
setOutput(OUT) TransducerGraph.Arc
setOutputEncoding(String) AbstractTreebankParserParams
Sets the output encoding.
setOutputEncoding(String) TreebankLangParserParams
setParagraph(int) CoreNLPProtos.Mention.Builder
optional uint32 paragraph = 19;
setParagraph(int) CoreNLPProtos.Sentence.Builder
optional uint32 paragraph = 11;
setParagraphIndex(int) CoreNLPProtos.Sentence.Builder
optional uint32 paragraphIndex = 67;
setParent(AceEntity) AceEntityMention
setParent(AceEvent) AceEventMention
setParent(AceRelation) AceRelationMention
setParent(String) CoreNLPProtos.Token.Builder
French tokens have parents
setParent(TreeGraphNode) TreeGraphNode
Set the parent for the current node.
setParentBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
French tokens have parents
setParseTree(CoreNLPProtos.ParseTree) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
setParseTree(CoreNLPProtos.ParseTree.Builder) CoreNLPProtos.Sentence.Builder
optional .edu.stanford.nlp.pipeline.ParseTree parseTree = 7;
setPartNo(String) CoNLLDocumentReader.CoNLLDocument
setPartNo(String) CoNLL2011DocumentReader.Document
setPerson(String) CoreNLPProtos.Mention.Builder
optional string person = 6;
setPersonBytes(com.google.protobuf.ByteString) CoreNLPProtos.Mention.Builder
optional string person = 6;
setPhraseLemma(String) CandidatePhrase
setPlatt(LinearClassifier<L, L>) SVMLightClassifier
setPolarity(CoreNLPProtos.Polarity) CoreNLPProtos.Token.Builder
The polarity of this word, according to Natural Logic
setPolarity(CoreNLPProtos.Polarity.Builder) CoreNLPProtos.Token.Builder
The polarity of this word, according to Natural Logic
setPolarityDir(String) CoreNLPProtos.Token.Builder
The polarity of this word, either "up", "down", or "flat"
setPolarityDirBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The polarity of this word, either "up", "down", or "flat"
setPos(String) CoreNLPProtos.Token.Builder
The word's part of speech tag
setPosBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's part of speech tag
setPosition(int) CoreNLPProtos.CorefChain.CorefMention.Builder
the second element of position
setPredicateNominatives(int, int) CoreNLPProtos.Mention.Builder
repeated int32 predicateNominatives = 55;
setPredictedLabels(Tree) BuildBinarizedDataset
setPredictionError(Tree, double) RNNCoreAnnotations
setPredictions(Annotation[][]) MachineReading
setPrefix(String) AceDocument
setPrefixBe(boolean) CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' prefix
setPreprocessedTerms(int, String) CoreNLPProtos.Mention.Builder
repeated string preprocessedTerms = 53;
setPrevContext(Token[]) SurfacePattern
setPrior(LogPrior) BiasedLogConditionalObjectiveFunction
setPrior(LogPrior) LinearClassifierFactory
Set the prior.
setPrior(LogPrior) SemiSupervisedLogConditionalObjectiveFunction
setPriority(double) SequencePattern
setProcessor(StanfordCoreNLP) GenericDataSetReader
setProjectAlternation(CoreNLPProtos.NaturalLogicRelation) CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectAlternation = 5;
setProjectCover(CoreNLPProtos.NaturalLogicRelation) CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectCover = 6;
setProjectEquivalence(CoreNLPProtos.NaturalLogicRelation) CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectEquivalence = 1;
setProjectForwardEntailment(CoreNLPProtos.NaturalLogicRelation) CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectForwardEntailment = 2;
setProjectIndependence(CoreNLPProtos.NaturalLogicRelation) CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectIndependence = 7;
setProjectNegation(CoreNLPProtos.NaturalLogicRelation) CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectNegation = 4;
setProjectReverseEntailment(CoreNLPProtos.NaturalLogicRelation) CoreNLPProtos.Polarity.Builder
required .edu.stanford.nlp.pipeline.NaturalLogicRelation projectReverseEntailment = 3;
setProperties(Properties) SeqClassifierFlags
Initialize this object using values in Properties object.
setProperties(Properties, boolean) SeqClassifierFlags
Initialize using values in Properties file.
setProperties(Properties) TaggerConfig
setPseudoPosition(double) IndexedWord
setQuantifierSpanBegin(int) CoreNLPProtos.Operator.Builder
required int32 quantifierSpanBegin = 2;
setQuantifierSpanEnd(int) CoreNLPProtos.Operator.Builder
required int32 quantifierSpanEnd = 3;
setQuotationIndex(int) CoreNLPProtos.Token.Builder
The index of the quotation this token refers to
setQuote(int, CoreNLPProtos.Quote) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
setQuote(int, CoreNLPProtos.Quote.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
setQuotes(int, CoreNLPProtos.Quote) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
setQuotes(int, CoreNLPProtos.Quote.Builder) CoreNLPProtos.Section.Builder
repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
setQuoteTagMatcher(String) CleanXmlAnnotator
setRatioGoogleNgramFreqWithDataFreq() Data
setReader(GenericDataSetReader) MachineReading
setReader(Reader) DocumentReader
Sets the reader from which to read and create documents.
setRelation(String) CoreNLPProtos.RelationTriple.Builder
The surface form of the relation (required)
setRelation(int, CoreNLPProtos.Relation) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
setRelation(int, CoreNLPProtos.Relation.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
setRelation(GrammaticalRelation) SemanticGraphEdge
setRelationBytes(com.google.protobuf.ByteString) CoreNLPProtos.RelationTriple.Builder
The surface form of the relation (required)
setRelationExtractorClassifierType(String) BasicRelationExtractor
setRelationResultsPrinterSet(Set<ResultsPrinter>) MachineReading
setRelationTokens(int, CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
setRelationTokens(int, CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the relation of the triple
setRelativePronouns(int, int) CoreNLPProtos.Mention.Builder
repeated int32 relativePronouns = 56;
setReln(GrammaticalRelation) TypedDependency
setRemoveNestedMentions(Properties, boolean) CorefProperties
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.CorefChain.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.CorefChain.CorefMention.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.DependencyGraph.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.DependencyGraph.Edge.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.DependencyGraph.Node.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Document.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Entity.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.IndexedWord.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.MapIntString.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.MapStringString.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Mention.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.NERMention.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Operator.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.ParseTree.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Polarity.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Quote.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Relation.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.RelationTriple.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Section.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Sentence.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.SentenceFragment.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Span.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.SpeakerInfo.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Timex.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.Token.Builder
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor, int, Object) CoreNLPProtos.TokenLocation.Builder
setRepresentative(int) CoreNLPProtos.CorefChain.Builder
required uint32 representative = 3;
setRetrainFromScratchAfterSigmaTuning(boolean) LinearClassifierFactory
If set to true, then when training a classifier, after an optimal sigma is chosen a model is relearned from
scratch.
setRobustOptions() QNMinimizer
setRoot(int, int) CoreNLPProtos.DependencyGraph.Builder
repeated uint32 root = 3 [packed = true];
setRoot(int) CoreNLPProtos.SentenceFragment.Builder
optional uint32 root = 2;
setRoot(IndexedWord) SemanticGraph
setRoot(TsurgeonPatternRoot) TsurgeonPattern
setRoots(Collection<IndexedWord>) SemanticGraph
setRulesForTrainingSet(List<Tree>, Map<Tree, byte[]>) DVModel
Sets edu.stanford.nlp.util
Utilities for sets.
setSaveEnabled(boolean) TregexGUI
Used to change the status of the save file menu item to reflect
whether any trees are available to save.
setSaveHistoryEnabled(boolean) TregexGUI
Used to change the status of the saveHistory file menu item to reflect
whether any search statistics are available to save
setScale(Double) UnitPrefix
setScale(Number) UnitPrefix
setScore(double) DFSA
setScore(double) DFSAState
setScore(double) CoreNLPProtos.ParseTree.Builder
optional double score = 5;
setScore(double) CoreNLPProtos.SentenceFragment.Builder
optional double score = 4;
setScore(double) Constituent
Sets the score associated with the current node, if there is one
setScore(double) LabeledScoredConstituent
Sets the score associated with the current node, if there is one
setScore(double) LabeledScoredTreeNode
Sets the score associated with the current node, if there is one
setScore(double) Tree
Sets the score associated with the current node, if there is one.
setScore(double) ScoredObject
setScorer(Scorer<L>) SVMLightClassifierFactory
setScriptAndPattern(String, String) InputPanel
setSecond(T2) Pair
setSecond(T2) Quadruple
setSecond(T2) Triple
setSectionAnnotationPatterns(String) CleanXmlAnnotator
setSectionAuthor(String) CoreNLPProtos.Sentence.Builder
author of section
setSectionAuthor(String) CoreNLPProtos.Token.Builder
optional string sectionAuthor = 57;
setSectionAuthorBytes(com.google.protobuf.ByteString) CoreNLPProtos.Sentence.Builder
author of section
setSectionAuthorBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
optional string sectionAuthor = 57;
setSectionDate(String) CoreNLPProtos.Sentence.Builder
date of section
setSectionDate(String) CoreNLPProtos.Token.Builder
optional string sectionDate = 58;
setSectionDateBytes(com.google.protobuf.ByteString) CoreNLPProtos.Sentence.Builder
date of section
setSectionDateBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
optional string sectionDate = 58;
setSectionEndLabel(String) CoreNLPProtos.Token.Builder
optional string sectionEndLabel = 59;
setSectionEndLabelBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
optional string sectionEndLabel = 59;
setSectionIndex(int) CoreNLPProtos.Sentence.Builder
section index for this sentence's section
setSectionName(String) CoreNLPProtos.Sentence.Builder
name of section
setSectionName(String) CoreNLPProtos.Token.Builder
Section info
setSectionNameBytes(com.google.protobuf.ByteString) CoreNLPProtos.Sentence.Builder
name of section
setSectionNameBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
Section info
setSectionQuoted(boolean) CoreNLPProtos.Sentence.Builder
is this sentence in an xml quote in a post
setSections(int, CoreNLPProtos.Section) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
setSections(int, CoreNLPProtos.Section.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Section sections = 12;
setSectionTagMatcher(String) CleanXmlAnnotator
setSentence(CoreMap) ExtractionObject
setSentence(int, CoreNLPProtos.Sentence) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
setSentence(int, CoreNLPProtos.Sentence.Builder) CoreNLPProtos.Document.Builder
repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
setSentenceBegin(int) CoreNLPProtos.Quote.Builder
optional uint32 sentenceBegin = 5;
setSentenceDelimiter(String) DocumentPreprocessor
Make the processor assume that the document is already delimited
by the supplied parameter.
setSentenceEnd(int) CoreNLPProtos.Quote.Builder
optional uint32 sentenceEnd = 6;
setSentenceFinalPuncWords(String[]) DocumentPreprocessor
Sets the end-of-sentence delimiters.
setSentenceID(String) CoreNLPProtos.Sentence.Builder
Useful when storing sentences (e.g.
setSentenceIDBytes(com.google.protobuf.ByteString) CoreNLPProtos.Sentence.Builder
Useful when storing sentences (e.g.
setSentenceIndex(int) CoreNLPProtos.CorefChain.CorefMention.Builder
optional uint32 sentenceIndex = 10;
setSentenceIndex(int) CoreNLPProtos.DependencyGraph.Node.Builder
required uint32 sentenceIndex = 1;
setSentenceIndex(int) CoreNLPProtos.NERMention.Builder
optional uint32 sentenceIndex = 1;
setSentenceIndex(int) CoreNLPProtos.Sentence.Builder
optional uint32 sentenceIndex = 4;
setSentenceIndex(int) CoreNLPProtos.TokenLocation.Builder
optional uint32 sentenceIndex = 1;
setSentenceIndexes(int, int) CoreNLPProtos.Section.Builder
repeated uint32 sentenceIndexes = 4;
setSentencelessToken(int, CoreNLPProtos.Token) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
setSentencelessToken(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Document.Builder
A peculiar field, for the corner case when a Document is
serialized without any sentences.
setSentenceNum(int) CoreNLPProtos.IndexedWord.Builder
optional uint32 sentenceNum = 1;
setSentences(List<List<AceToken>>) AceDocument
setSentenceWords(int, CoreNLPProtos.IndexedWord) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
setSentenceWords(int, CoreNLPProtos.IndexedWord.Builder) CoreNLPProtos.Mention.Builder
repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
setSentiment(CoreNLPProtos.Sentiment) CoreNLPProtos.ParseTree.Builder
optional .edu.stanford.nlp.pipeline.Sentiment sentiment = 6;
setSentiment(String) CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
setSentiment(String) CoreNLPProtos.Token.Builder
The final sentiment of the sentence
setSentimentBytes(com.google.protobuf.ByteString) CoreNLPProtos.Sentence.Builder
optional string sentiment = 33;
setSentimentBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The final sentiment of the sentence
setSentIndex(int) CoreLabel setSentIndex(int) HasIndex
setSentIndex(int) IndexedWord
setSentIndex(SemanticGraph, int) SemanticGraphUtils
GIven a graph, returns a new graph with the the new sentence index enforced.
setSentIndex(int) Token
setSentIndex(Tree, int) Trees
Set the sentence index of all the leaves in the tree
(only works on CoreLabel)
setSentNum(int) CoreNLPProtos.Mention.Builder
optional uint32 sentNum = 17;
setSequenceMatchResultExtractor(Class) Env
setShowOnlyMatchedPortion(boolean) MatchesPanel
setSigma(double) LinearClassifierFactory
setSigma(double) LogPrior
setSigma(double) BasicRelationExtractor
setSigmaSquared(double) LogPrior
setSigmaSquaredM(double[]) LogPrior
setSignature(String) RelationMention
setSignature(String) CoreNLPProtos.Relation.Builder
optional string signature = 8;
setSignatureBytes(com.google.protobuf.ByteString) CoreNLPProtos.Relation.Builder
optional string signature = 8;
setSingleSentenceTagMatcher(String) CleanXmlAnnotator
setSize(int) PairsHolder
setSlice(int, SimpleMatrix) SimpleTensor
Use the given matrix in place of slice.
setSource(String) AceDocument
setSource(int) CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 source = 1;
setSource(int) IntUni
setSourceCopy(int) CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 sourceCopy = 5;
setSourceNode(NODE) TransducerGraph.Arc
setSpan(CoreNLPProtos.Span) CoreNLPProtos.Token.Builder
The span of a leaf node of a tree
setSpan(CoreNLPProtos.Span.Builder) CoreNLPProtos.Token.Builder
The span of a leaf node of a tree
setSpanLabel(Tree, Pair<Integer, Integer>, String) BuildBinarizedDataset
setSpans() Tree
Assign a SpanAnnotation on each node of this tree.
setSpeaker(String) CoreNLPProtos.Quote.Builder
optional string speaker = 17;
setSpeaker(String) CoreNLPProtos.Token.Builder
The speaker speaking this word
setSpeakerBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string speaker = 17;
setSpeakerBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The speaker speaking this word
setSpeakerInfo(CoreNLPProtos.SpeakerInfo) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
setSpeakerInfo(CoreNLPProtos.SpeakerInfo.Builder) CoreNLPProtos.Mention.Builder
optional .edu.stanford.nlp.pipeline.SpeakerInfo speakerInfo = 33;
setSpeakerName(String) CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
setSpeakerNameBytes(com.google.protobuf.ByteString) CoreNLPProtos.SpeakerInfo.Builder
optional string speakerName = 1;
setSpeakerSieve(String) CoreNLPProtos.Quote.Builder
optional string speakerSieve = 18;
setSpeakerSieveBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string speakerSieve = 18;
setSsplitDiscardTokensMatcher(String) CleanXmlAnnotator
setStart(int) RobustTokenizer.WordToken
setStart(int) Span
setStart(int) Constituent
set start node.
setStart(int) SimpleConstituent
set start node.
setStartIndex(int) CoreNLPProtos.Mention.Builder
optional uint32 startIndex = 7;
setStartNode(Object) TransducerGraph
setStateID(S) DFSAState
setStatus(String) ParserPanel
Sets the status text at the bottom of the ParserPanel.
setStem(String) SpanishVerbStripper.StrippedVerb
setStringMatchResultExtractor(Class) Env
setSubject(String) CoreNLPProtos.RelationTriple.Builder
The surface form of the subject
setSubjectBytes(com.google.protobuf.ByteString) CoreNLPProtos.RelationTriple.Builder
The surface form of the subject
setSubjectSpanBegin(int) CoreNLPProtos.Operator.Builder
required int32 subjectSpanBegin = 4;
setSubjectSpanEnd(int) CoreNLPProtos.Operator.Builder
required int32 subjectSpanEnd = 5;
setSubjectTokens(int, CoreNLPProtos.TokenLocation) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
setSubjectTokens(int, CoreNLPProtos.TokenLocation.Builder) CoreNLPProtos.RelationTriple.Builder
The tokens comprising the subject of the triple
setSubtype(String) AceEntity
setSubtype(String) AceEvent
setSubtype(String) AceRelation
setSubtype(String) CoreNLPProtos.Entity.Builder
Implicit
uint32 sentence @see implicit in sentence
setSubtype(String) CoreNLPProtos.Relation.Builder
Implicit
uint32 sentence @see implicit in sentence
setSubtypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Entity.Builder
Implicit
uint32 sentence @see implicit in sentence
setSubtypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Relation.Builder
Implicit
uint32 sentence @see implicit in sentence
setSuffixBe(boolean) CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'be' suffix
setSuffixOf(boolean) CoreNLPProtos.RelationTriple.Builder
If true, this relation string is missing a 'of' prefix
setSum() Feature
setSvmLightVerbosity(int) SVMLightClassifierFactory
setSymbol(String) Unit
setSymbol(String) UnitPrefix
setTag(String) CategoryWordTag
setTag(String) CoreLabel
Set the tag value for the label (if one is stored).
setTag(String) HasTag
Set the tag value for the label (if one is stored).
setTag(String) IndexedWord
setTag(Label) LabeledWord
setTag(String) Tag
setTag(String) TaggedWord
setTag(String, Value) Tags
setTag(String) WordLemmaTag
Set the tag for the Label.
setTag(String) WordTag
setTag(String) Token
setTag(int, String) History
setTagDelimiter(String) DocumentPreprocessor
Split tags from tokens.
setTags(Tags) Expression
Set the tags associated with this expression.
setTags(Tags) Expressions.TypedExpression
setTags(Tags) Expressions.WrappedExpression
setTarget(int) CoreNLPProtos.DependencyGraph.Edge.Builder
required uint32 target = 2;
setTargetCopy(int) CoreNLPProtos.DependencyGraph.Edge.Builder
optional uint32 targetCopy = 6;
setTargetNode(NODE) TransducerGraph.Arc
setTemporal(SUTime.Temporal) TimeExpression
setTense(String) AceEvent
setTerminateOnEvalImprovementNumOfEpoch(int) QNMinimizer
setTerminateOnEvalImprovementNumOfEpoch(int) SGDWithAdaGradAndFOBOS
setTestData(Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) CRFClassifierEvaluator
Set the data to test on
setText(String) CoreNLPProtos.Document.Builder
required string text = 1;
setText(String) CoreNLPProtos.Quote.Builder
optional string text = 1;
setText(String) CoreNLPProtos.Sentence.Builder
Only needed if we're only saving the sentence.
setText(String) CoreNLPProtos.Timex.Builder
optional string text = 3;
setTextBytes(com.google.protobuf.ByteString) CoreNLPProtos.Document.Builder
required string text = 1;
setTextBytes(com.google.protobuf.ByteString) CoreNLPProtos.Quote.Builder
optional string text = 1;
setTextBytes(com.google.protobuf.ByteString) CoreNLPProtos.Sentence.Builder
Only needed if we're only saving the sentence.
setTextBytes(com.google.protobuf.ByteString) CoreNLPProtos.Timex.Builder
optional string text = 3;
setThird(T3) Quadruple
setThird(T3) Triple
setTid(String) CoreNLPProtos.Timex.Builder
optional string tid = 5;
setTidBytes(com.google.protobuf.ByteString) CoreNLPProtos.Timex.Builder
optional string tid = 5;
setTimex(CoreNLPProtos.Timex) CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
setTimex(CoreNLPProtos.Timex.Builder) CoreNLPProtos.NERMention.Builder
optional .edu.stanford.nlp.pipeline.Timex timex = 7;
setTimexValue(CoreNLPProtos.Timex) CoreNLPProtos.Token.Builder
The time this word refers to
setTimexValue(CoreNLPProtos.Timex.Builder) CoreNLPProtos.Token.Builder
The time this word refers to
setTimeZone(DateTimeZone) SUTime.ExplicitTemporalSet
setTimeZone(DateTimeZone) SUTime.GroundedTime
setTimeZone(DateTimeZone) SUTime.InexactTime
setTimeZone(DateTimeZone) SUTime.PartialTime
setTimeZone(DateTimeZone) SUTime.PeriodicTemporalSet
setTimeZone(DateTimeZone) SUTime.Range
setTimeZone(SUTime.Temporal, DateTimeZone) SUTime.Temporal
setTimeZone(DateTimeZone) SUTime.Temporal
setTimeZone(DateTimeZone) SUTime.TimeWithRange
setTitle(String) BasicDocument
Sets the title of this Document to the given title.
setToken(PatternToken) SurfacePattern
setToken(int, CoreNLPProtos.Token) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
setToken(int, CoreNLPProtos.Token.Builder) CoreNLPProtos.Sentence.Builder
repeated .edu.stanford.nlp.pipeline.Token token = 1;
setTokenAnnotationPatterns(String) CleanXmlAnnotator
setTokenBegin(int) CoreNLPProtos.Quote.Builder
optional uint32 tokenBegin = 7;
setTokenBeginIndex(int) CoreNLPProtos.Token.Builder
The begin index of the token
setTokenBeginTokenEnd(List<CoreLabel>) CleanXmlAnnotator
Helper method to set the TokenBeginAnnotation and TokenEndAnnotation of every token.
setTokenBeginTokenEnd(List<CoreLabel>) TokenizerAnnotator
Helper method to set the TokenBeginAnnotation and TokenEndAnnotation of every token.
setTokenEnd(int) CoreNLPProtos.Quote.Builder
optional uint32 tokenEnd = 8;
setTokenEndIndex(int) CoreNLPProtos.Token.Builder
The end index of the token
setTokenEndInSentenceExclusive(int) CoreNLPProtos.NERMention.Builder
required uint32 tokenEndInSentenceExclusive = 3;
setTokenIndex(int) CoreNLPProtos.IndexedWord.Builder
optional uint32 tokenIndex = 2;
setTokenIndex(int, int) CoreNLPProtos.SentenceFragment.Builder
repeated uint32 tokenIndex = 1;
setTokenIndex(int) CoreNLPProtos.TokenLocation.Builder
optional uint32 tokenIndex = 2;
setTokenizerFactory(TokenizerFactory<Word>) BasicDocument
setTokenizerFactory(TokenizerFactory<? extends HasWord>) DocumentReader
Sets the tokenizer used to chop up text into words for the documents.
setTokenizerFactory(TokenizerFactory<? extends HasWord>) DocumentPreprocessor
Sets the factory from which to produce a
Tokenizer.
setTokenizerFactory(TokenizerFactory<? extends HasWord>) ChineseTreebankLanguagePack
setTokenOffsetBegin(int) CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetBegin = 2;
setTokenOffsetEnd(int) CoreNLPProtos.Sentence.Builder
required uint32 tokenOffsetEnd = 3;
setTokenOffsets TokensRegexAnnotator.Options
setTokenStartInSentenceInclusive(int) CoreNLPProtos.NERMention.Builder
required uint32 tokenStartInSentenceInclusive = 2;
setTol(double) LinearClassifierFactory
Set the tolerance.
setToLogDeterministic(float[], int) ArrayMath
setToLogDeterministic(double[], int) ArrayMath
SetToStringNodeProcessor(TreebankLanguagePack) TransducerGraph.SetToStringNodeProcessor
setTrainingPath(Properties) StatisticalCorefTrainer
setTree(Tree) TreeJPanel
setTree(CoreNLPProtos.DependencyGraph) CoreNLPProtos.RelationTriple.Builder
The dependency graph fragment for this triple
setTree(CoreNLPProtos.DependencyGraph.Builder) CoreNLPProtos.RelationTriple.Builder
The dependency graph fragment for this triple
setTreebank(Treebank) FileTreeNode
setTreeColor(Color) Preferences
setTreeReaderFactory(TreeReaderFactory) FilePanel
Sets a new tree reader factory for reading trees from files in this panel.
setTreeReaderFactory(TreeReaderFactory) Preferences
setTRF(TreeReaderFactory) FileTreeModel
setTrueCase(String) CoreNLPProtos.Token.Builder
true case type of token
setTrueCaseBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
true case type of token
setTrueCaseText(String) CoreNLPProtos.Token.Builder
true case gloss of token
setTrueCaseTextBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
true case gloss of token
setTsurgeonEnabled(boolean) TregexGUI
Used to change the status of the tsurgeon file menu item to reflect
whether tsurgeon is enabled
setTuneCV(boolean) SVMLightClassifierFactory
setTuneHeldOut(boolean) SVMLightClassifierFactory
setTuneMinimizer(LineSearcher) SVMLightClassifierFactory
setTuneSigmaCV(int) LinearClassifierFactory
setTuneSigmaCV sets the tuneSigmaCV flag: when turned on,
the sigma is tuned by cross-validation.
setTuneSigmaCV(int) NBLinearClassifierFactory
setTuneSigmaCV sets the tuneSigma flag: when turned on,
the sigma is tuned by cross-validation.
setTuneSigmaHeldOut() LinearClassifierFactory
setTuneSigmaHeldOut sets the tuneSigmaHeldOut flag: when turned on,
the sigma is tuned by means of held-out (70%-30%).
setType(String) AceEntity
setType(String) AceEntityMention
setType(String) AceEvent
setType(String) AceRelation
setType(String) ExtractionObject
setType(String) Unit
setType(String) CoreNLPProtos.Entity.Builder
optional string type = 4;
setType(String) CoreNLPProtos.Relation.Builder
optional string type = 4;
setType(String) CoreNLPProtos.Timex.Builder
optional string type = 4;
setTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Entity.Builder
optional string type = 4;
setTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Relation.Builder
optional string type = 4;
setTypeBytes(com.google.protobuf.ByteString) CoreNLPProtos.Timex.Builder
optional string type = 4;
setTypeProbabilities(Counter<String>) ExtractionObject
setUnit(Unit) SimpleQuantifiableEntity
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.CorefChain.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.CorefChain.CorefMention.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.DependencyGraph.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.DependencyGraph.Edge.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.DependencyGraph.Node.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Document.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Entity.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.IndexedWord.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.MapIntString.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.MapStringString.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Mention.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.NERMention.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Operator.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.ParseTree.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Polarity.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Quote.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Relation.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.RelationTriple.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Section.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Sentence.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.SentenceFragment.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Span.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.SpeakerInfo.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Timex.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.Token.Builder
setUnknownFields(com.google.protobuf.UnknownFieldSet) CoreNLPProtos.TokenLocation.Builder
setUnknownLabels(Tree, Integer) BuildBinarizedDataset
Sets all of the labels on a tree to the given default value.
setUnknownWordModel(UnknownWordModel) BaseLexicon
setUnknownWordModel(UnknownWordModel) ChineseCharacterBasedLexicon
setUnknownWordModel(UnknownWordModel) ChineseLexiconAndWordSegmenter
setUnknownWordModel(UnknownWordModel) Lexicon
setup(File, String...) DefaultLexicalMapper
setup(File, String...) LDCPosMapper
setup(File, String...) UniversalPOSMapper
setUp(Properties) ConstantsAndVariables
setUp(Properties) DepPatternFactory
setUp(Properties, PatternFactory.PatternType, Set<String>) PatternFactory
setUp(Properties) ScorePatterns
setUp(Properties) ScorePatternsFreqBased
setUp(Properties) ScorePatternsRatioModifiedFreq
setUp(Properties) SentenceIndex
setUp() LearnImportantFeatures
setUp(Properties) ScorePatternsF1
setUp(Properties) SurfacePatternFactory
setup(File, String...) DefaultMapper
setup(File, String...) Mapper
Perform initialization prior to the first call to map.
setup() StanfordRedwoodConfiguration
Set up the Redwood logger with Stanford's default configuration
setupCoref(String, Map<String, List<Person>>, Annotation) QuoteAttributionUtils
setUpEntityMentionBuilding(Properties) NERCombinerAnnotator
setUpFineGrainedNER(Properties) NERCombinerAnnotator
setupSearch() PatternsForEachToken
setupSearch() PatternsForEachTokenDB
setupSearch() PatternsForEachTokenInMemory
setUseNewHeadFinder(boolean) GenericDataSetReader
setUseRealLabels(boolean) ConfusionMatrix
setUseSigmoid(boolean) SVMLightClassifierFactory
Specify whether or not to train an overlying platt (sigmoid)
model for producing meaningful probabilities.
setUseSum(boolean) LinearClassifierFactory
NOTE: nothing is actually done with this value!
SetUseSum sets the useSum flag: when turned on,
the Summed Conditional Objective Function is used.
setUtter(int) CoreNLPProtos.Mention.Builder
optional uint32 utter = 18;
setUtterance(int) CoreNLPProtos.Token.Builder
The utterance tag used in dcoref
setval(double) DoubleAD
setValidator(LabelValidator) BasicRelationExtractor
setValue(int, double) FactorTable
setValue(int[], double) FactorTable
setValue(int[], float) FloatFactorTable
setValue(String) CoreLabel
Set the value for the label (if one is stored).
setValue(String) IndexedWord
setValue(String) Label
Set the value for the label (if one is stored).
setValue(String) StringLabel
Set the value for the label.
setValue(String) ValueLabel
Set the value for the label (if one is stored).
setValue(String) WordLemmaTag
Set the value for the Label.
setValue(String) WordTag
Set the value for the label (if one is stored).
setValue(int, int, double) Feature
Used to sequentially set the values of a feature -- index is the pace in the arrays ; key goes into
indexedValues, and value goes into valuesI.
setValue(int, String) CoreNLPProtos.MapIntString.Builder
repeated string value = 2;
setValue(int, String) CoreNLPProtos.MapStringString.Builder
repeated string value = 2;
setValue(String) CoreNLPProtos.ParseTree.Builder
optional string value = 2;
setValue(String) CoreNLPProtos.Timex.Builder
optional string value = 1;
setValue(String) CoreNLPProtos.Token.Builder
The word's 'value', (e.g., parse tree node)
setValue(String) Constituent
Set the value for the label (if one is stored).
setValue(String) Tree
setValueBytes(com.google.protobuf.ByteString) CoreNLPProtos.ParseTree.Builder
optional string value = 2;
setValueBytes(com.google.protobuf.ByteString) CoreNLPProtos.Timex.Builder
optional string value = 1;
setValueBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
The word's 'value', (e.g., parse tree node)
setValues(double[]) CRFClassifierEvaluator
setValues(double[]) CmdEvaluator
setVariables(Map<String, Object>) Env
setVerbose(boolean) LinearClassifierFactory
setVerbose(boolean) NumberNormalizer
setVerbose(boolean) CoreMapExpressionExtractor
setWeight(int, float) WeightedDataset
Set the weight of datum i.
setWeight(String, double) SimpleLinearClassifier
setWeight(double) SequencePattern
setWeight(double) LatticeEdge
setWeight(double) SemanticGraphEdge
setWeights(double[][]) LinearClassifier
setWeights(double[][]) CRFLogConditionalObjectiveFunction
setWeights(double[][]) CRFLogConditionalObjectiveFunctionNoisyLabel
setWeights(double[][]) CRFLogConditionalObjectiveFunctionWithDropout
setWikipediaEntity(String) CoreNLPProtos.NERMention.Builder
optional string wikipediaEntity = 8;
setWikipediaEntity(String) CoreNLPProtos.Token.Builder
optional string wikipediaEntity = 37;
setWikipediaEntityBytes(com.google.protobuf.ByteString) CoreNLPProtos.NERMention.Builder
optional string wikipediaEntity = 8;
setWikipediaEntityBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
optional string wikipediaEntity = 37;
setWord(String) RobustTokenizer.WordToken
setWord(String) CategoryWordTag
setWord(String) CoreLabel
Set the word value for the label.
setWord(String) HasWord
Set the word value for the label (if one is stored).
setWord(String) IndexedWord
setWord(String) Word
setWord(String) WordLemmaTag
setWord(String) WordTag
setWord(String) CoreNLPProtos.Token.Builder
Fields set by the default annotators [new CoreNLP(new Properties())]
setWord(String) Token
setWordBytes(com.google.protobuf.ByteString) CoreNLPProtos.Token.Builder
Fields set by the default annotators [new CoreNLP(new Properties())]
setWordVectors(Map<String, SimpleMatrix>) Embedding
setXmlContext(int, String) CoreNLPProtos.Token.Builder
Used by clean xml annotator
setXmlDoc(boolean) CoreNLPProtos.Document.Builder
xml information
setXmlTag(CoreNLPProtos.Token) CoreNLPProtos.Section.Builder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
setXmlTag(CoreNLPProtos.Token.Builder) CoreNLPProtos.Section.Builder
required .edu.stanford.nlp.pipeline.Token xmlTag = 9;
setYear(int) SUTime.IsoDate
setYieldBeginIndex(int) CoreNLPProtos.ParseTree.Builder
optional uint32 yieldBeginIndex = 3;
setYieldEndIndex(int) CoreNLPProtos.ParseTree.Builder
optional uint32 yieldEndIndex = 4;
SGD2QNhessSamples SeqClassifierFlags
SGDMinimizer T extends Function > - Class in edu.stanford.nlp.optimization
In place Stochastic Gradient Descent Minimizer.
SGDMinimizer(double, int) SGDMinimizer
SGDMinimizer(double, int, int) SGDMinimizer
SGDMinimizer(double, int, int, int) SGDMinimizer
SGDMinimizer(LogPrior, int, int, int) SGDMinimizer
SGDPasses SGDToQNMinimizer
SGDPasses SeqClassifierFlags
SGDToQNMinimizer edu.stanford.nlp.optimization
Stochastic Gradient Descent To Quasi Newton Minimizer
An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction)
and executes SGD for the first couple passes.
SGDToQNMinimizer(double, int, int, int) SGDToQNMinimizer
SGDToQNMinimizer(double, int, int, int, int, int) SGDToQNMinimizer
SGDToQNMinimizer(double, int, int, int, int, int, boolean) SGDToQNMinimizer
SGDWithAdaGradAndFOBOS T extends DiffFunction > - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent With AdaGrad and FOBOS in batch mode.
SGDWithAdaGradAndFOBOS(double, double, int) SGDWithAdaGradAndFOBOS
SGDWithAdaGradAndFOBOS(double, double, int, int) SGDWithAdaGradAndFOBOS
SGDWithAdaGradAndFOBOS(double, double, int, int, String, double, boolean, boolean, double, double) SGDWithAdaGradAndFOBOS
SGDWithAdaGradAndFOBOS.Prior edu.stanford.nlp.optimization
SGML RobustTokenizer
SGML TaggerConfig
ShapeAnnotation() CoreAnnotations.ShapeAnnotation
shapeOf(CharSequence, boolean, boolean) ChineseUtils
SHARE_ATTRIBUTES Constants
Share attributes between coreferent mentions
SHARED_NODE_ANON_PREFIX SemanticGraphUtils
shift() Configuration
shift(int) Clique
shiftLeft() IntTuple
ShiftReduceOptions edu.stanford.nlp.parser.shiftreduce
ShiftReduceOptions() ShiftReduceOptions
ShiftReduceParser edu.stanford.nlp.parser.shiftreduce
A shift-reduce constituency parser.
ShiftReduceParser(ShiftReduceOptions) ShiftReduceParser
ShiftReduceParser(ShiftReduceOptions, BaseModel) ShiftReduceParser
ShiftReduceParserQuery edu.stanford.nlp.parser.shiftreduce
ShiftReduceParserQuery(ShiftReduceParser) ShiftReduceParserQuery
ShiftReduceTestOptions edu.stanford.nlp.parser.shiftreduce
ShiftReduceTestOptions() ShiftReduceTestOptions
ShiftReduceTrainOptions edu.stanford.nlp.parser.shiftreduce
ShiftReduceTrainOptions() ShiftReduceTrainOptions
ShiftReduceTrainOptions.TrainingMethod edu.stanford.nlp.parser.shiftreduce
ShiftTransition edu.stanford.nlp.parser.shiftreduce
Transition that moves a single item from the front of the queue to
the top of the stack without making any other changes.
ShiftTransition() ShiftTransition
shortArrToByteArr(short[]) ConvertByteArray
shortArrToByteArr(short[], int, int) ConvertByteArray
shortArrToByteArr(byte[], int, short[], int, int) ConvertByteArray
shortName KBPRelationExtractor.NERTag
A short name for this NER tag, intended for compact serialization
shortNameToGRel EnglishGrammaticalRelations
shortNameToGRel ChineseGrammaticalRelations
Map from Chinese GrammaticalRelation short names to their corresponding
GrammaticalRelation objects.
shortNameToGRel UniversalChineseGrammaticalRelations
shortNameToGRel UniversalEnglishGrammaticalRelations
shortValue() MutableDouble
shortValue() MutableInteger
shortValue() MutableLong
show(String, Point) JarFileChooser
showAll() VisibilityHandler
Show all of the channels.
showAllChannels() RedwoodConfiguration.Handlers
Show all channels (with this handler, there may be upstream handlers).
showCCInfo(ClassifierCombiner) ClassifierCombiner
showCCInfo SeqClassifierFlags
showIndex SemanticGraphUtils.PrintVerticeParams
showListSelectionDialog(List<String>, Point) JarFileChooser
showNCCInfo(NERClassifierCombiner) NERClassifierCombiner
Method for displaying info about an NERClassifierCombiner.
showNCCInfo SeqClassifierFlags
showOnlyChannels(Object...) RedwoodConfiguration.Handlers
Show only these channels, as far as downstream handlers are concerned.
showOnlyError RedwoodConfiguration.Handlers
Show only errors (e.g., to send them to an error file)
showPOS SemanticGraphUtils.PrintVerticeParams
showSentIndex SemanticGraphUtils.PrintVerticeParams
showWord SemanticGraphUtils.PrintVerticeParams
shuffle(int[]) ArrayMath
shuffle(int[], Random) ArrayMath
shuffleMatrices RNNTrainOptions
Shuffle matrices when training.
shuffleSentences(CoreMap) AnnotationUtils
Randomized shuffle of all sentences int this dataset
shuffleWithSideInformation(long, List<E>) GeneralDataset
Randomizes the data array in place.
shuffleWithSideInformation(long, List<E>) RVFDataset
Randomizes the data array in place.
shuffleWithSideInformation(long, List<E>) WeightedDataset
Randomizes (shuffles) the data array in place.
shutdown() StanfordCoreNLPClient
Good practice to call after you are done with this object.
ShutdownHandler() StanfordCoreNLPServer.ShutdownHandler
shutdownKey StanfordCoreNLPServer
shutUp() InefficientSGDMinimizer
shutUp() QNMinimizer
shutUp() ScaledSGDMinimizer
shutUp() SGDMinimizer
shutUp() SGDToQNMinimizer
shutUp() SGDWithAdaGradAndFOBOS
shutUp() SMDMinimizer
shutUp() StochasticMinimizer
siblings(Tree) Tree
Returns the siblings of this Tree node.
side BinaryTransition
Which side the head is on
sideCounters(String, List, List, Map) SisterAnnotationStats
Sieve edu.stanford.nlp.coref.hybrid.sieve
Sieve() Sieve
Sieve(Properties) Sieve
Sieve(Properties, String) Sieve
Sieve edu.stanford.nlp.quoteattribution.Sieves
Created by mjfang on 7/8/16.
Sieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) Sieve
Sieve.ClassifierType edu.stanford.nlp.coref.hybrid.sieve
Sieve.MentionData edu.stanford.nlp.quoteattribution.Sieves
sieveClassName(int) SieveCoreferenceSystem
SieveCoreferenceSystem edu.stanford.nlp.dcoref
Multi-pass Sieve coreference resolution system (see EMNLP 2010 paper).
SieveCoreferenceSystem(Properties) SieveCoreferenceSystem
SieveData(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) SupervisedSieveTraining.SieveData
sievename Sieve
sieveName QMSieve
SieveOptions edu.stanford.nlp.dcoref
SieveOptions() SieveOptions
SIEVEPASSES Constants
Default sieve passes
sieves HybridCorefSystem
SIEVES_PROP Constants
Sighan2005DocumentReaderAndWriter edu.stanford.nlp.wordseg
DocumentReader for Chinese segmentation task.
Sighan2005DocumentReaderAndWriter() Sighan2005DocumentReaderAndWriter
sighanCorporaDict SeqClassifierFlags
for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in
corpus
sighanPostProcessing SeqClassifierFlags
sigLevelByApproxRand(double[], double[]) ArrayMath
Computes the significance level by approximate randomization, using a
default value of 1000 iterations.
sigLevelByApproxRand(double[], double[], int) ArrayMath
Takes a pair of arrays, A and B, which represent corresponding
outcomes of a pair of random variables: say, results for two different
classifiers on a sequence of inputs.
sigLevelByApproxRand(int[], int[]) ArrayMath
sigLevelByApproxRand(int[], int[], int) ArrayMath
sigLevelByApproxRand(boolean[], boolean[]) ArrayMath
sigLevelByApproxRand(boolean[], boolean[], int) ArrayMath
sigma CRFLogConditionalObjectiveFloatFunction
sigma CRFLogConditionalObjectiveFunction
sigma CRFNonLinearLogConditionalObjectiveFunction
sigma CRFNonLinearSecondOrderLogConditionalObjectiveFunction
sigma BasicRelationExtractor
strength of the prior on the linear classifier (passed to LinearClassifierFactory) or the C constant if relationExtractorClassifierType=svm
sigma SGDMinimizer
sigma SeqClassifierFlags
SIGMA_SQUARED TaggerConfig
sigmasToTry LinearClassifierFactory
sigmoid(double) SloppyMath
Compute the sigmoid function with mean zero.
sigmoid(double) NeuralUtils
Returns a sigmoid applied to the input x.
SIGN RobustTokenizer
signalEndTrack(int, long) LogRecordHandler
Signal the end of a track, i.e.
signalEndTrack(int, long) OutputHandler
Signal the end of a track, i.e.
signalEndTrack(int, long) RepeatedRecordHandler
Signal the end of a track, i.e.
signalEndTrack(int, long) VisibilityHandler
Signal the end of a track, i.e.
signalShutdown() LogRecordHandler
signalShutdown() RepeatedRecordHandler signalStartTrack(Redwood.Record) LogRecordHandler
Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) OutputHandler
Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) RepeatedRecordHandler
Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) VisibilityHandler
Signal the start of a track, i.e.
signature(Properties) Dictionaries
signature(Properties) Dictionaries
signature RelationMention
A signature for a given relation mention, e.g., a concatenation of type and argument strings
This is used in KBP, where we merge all RelationMentions corresponding to the same abstract relation
signature ValueFunctions.NamedValueFunction
signature() ClauseSplitterSearchProblem.Action
The name of this action.
signature(String, Properties) BinarizerAnnotator
signature(String, Properties) ParserAnnotator
signature StanfordCoreNLP.AnnotatorSignature
SIGNATURE_FIELD_NUMBER CoreNLPProtos.Relation
SIGNATURES_PROP HybridCorefProperties
SIGNATURES_PROP Constants
SILENCE HTKLatticeReader
similarityThresholdHighPrecision ConstantsAndVariables
simpleBinarizedLabels TrainOptions
When binarizing trees, don't annotate the labels with anything
SimpleCachedExpression(String, T, String...) Expressions.SimpleCachedExpression
SimpleConstituent edu.stanford.nlp.trees
A SimpleConstituent object defines a generic edge in a graph.
SimpleConstituent() SimpleConstituent
Create an empty SimpleConstituent object.
SimpleConstituent(int, int) SimpleConstituent
Create a SimpleConstituent object with given values.
SimpleConstituentFactory edu.stanford.nlp.trees
A ConstituentFactory acts as a factory for creating objects
of class Constituent, or some descendent class.
SimpleConstituentFactory() SimpleConstituentFactory
SimpleExpression(String, T, String...) Expressions.SimpleExpression
simpleGoodTuring(Counter<E>, int) Distribution
Creates a Distribution from the given counter using Gale & Sampsons'
"simple Good-Turing" smoothing.
SimpleGoodTuring edu.stanford.nlp.stats
Simple Good-Turing smoothing, based on code from Sampson, available at:
ftp://ftp.informatics.susx.ac.uk/pub/users/grs2/SGT.c
See also http://www.grsampson.net/RGoodTur.html
SimpleGoodTuring(int[], int[]) SimpleGoodTuring
Each instance of this class encapsulates the computation of the smoothing
for one probability distribution.
SimpleLinearClassifier edu.stanford.nlp.coref.statistical
A simple linear classifier trained by SGD with support for several different loss functions
and learning rate schedules.
SimpleLinearClassifier(SimpleLinearClassifier.Loss, SimpleLinearClassifier.LearningRateSchedule, double) SimpleLinearClassifier
SimpleLinearClassifier(SimpleLinearClassifier.Loss, SimpleLinearClassifier.LearningRateSchedule, double, String) SimpleLinearClassifier
SimpleLinearClassifier.LearningRateSchedule edu.stanford.nlp.coref.statistical
SimpleLinearClassifier.Loss edu.stanford.nlp.coref.statistical
SimpleQuantifiableEntity edu.stanford.nlp.ie.qe
Quantifiable entity
SimpleQuantifiableEntity(double, Unit) SimpleQuantifiableEntity
SimpleQuantifiableEntity(Number, Unit) SimpleQuantifiableEntity
SimpleStringFunction(String) TregexPoweredTreebankParserParams.SimpleStringFunction
SimpleTensor edu.stanford.nlp.neural
This class defines a block tensor, somewhat like a three
dimensional matrix.
SimpleTensor(int, int, int) SimpleTensor
Creates a zero initialized tensor
SimpleTensor(SimpleMatrix[]) SimpleTensor
Copies the data in the slices.
SimpleTime(String) SUTime.SimpleTime
SimpleTokenize edu.stanford.nlp.ie.machinereading.common
Simple string tokenization
SimpleTokenize() SimpleTokenize
SimpleTree edu.stanford.nlp.trees
A SimpleTree is a minimal concrete implementation of an
unlabeled, unscored Tree.
SimpleTree() SimpleTree
Create an empty parse tree.
SimpleTree(Label) SimpleTree
Create parse tree with given root and null daughters.
SimpleTree(Label, List<Tree>) SimpleTree
Create parse tree with given root and array of daughter trees.
simpleTreeBinarizer(HeadFinder, TreebankLanguagePack) TreeBinarizer
Builds a TreeBinarizer with all of the options set to simple values
SimpleTreeFactory edu.stanford.nlp.trees
A SimpleTreeFactory acts as a factory for creating objects
of class SimpleTree.
SimpleTreeFactory() SimpleTreeFactory
Creates a new TreeFactory.
SimpleValue(String, T, String...) Expressions.SimpleValue
simplifiedModel RNNOptions
No syntactic untying - use the same matrix/tensor for all categories.
simplify(Env) Expression
Simplifies the expression using the specified environment.
simplify(Env) Expressions.ConditionalExpression
simplify(Env) Expressions.FunctionCallExpression
simplify(Env) Expressions.MethodCallExpression
simplify(Env) Expressions.TypedExpression
simplify(Env) Expressions.WrappedExpression
simplifyConstituents(TreebankLanguagePack, Set<Constituent>) TreeSpanScoring
simplifyNoTypeConversion(Env, Object...) Expressions.CompositeValue
SINGLE_BATCH PatternsForEachTokenDB
SingleAnnotationExtractor() MatchedExpression.SingleAnnotationExtractor
singleConjunctions(MetaFeatureExtractor.SingleConjunction[]) MetaFeatureExtractor.Builder
SINGLETON AnnotatorPool
A global singleton annotator pool, so that we can cache globally on a JVM instance.
SINGLETON_MODEL_PROP Constants
SINGLETON_PROP Constants
singletonPredictor MentionExtractor
singletonRatio(double) PairwiseModel.Builder
SINGULAR_PROP HybridCorefProperties
SINGULAR_PROP Constants
singularPronouns Dictionaries
singularPronouns Dictionaries
singularPronounsEn WordLists
singularPronounsZh WordLists
singularWords Dictionaries
singularWords Dictionaries
sisterAnnotate TrainOptions
Selective Sister annotation.
SisterAnnotationStats edu.stanford.nlp.parser.lexparser
See what sister annotation helps in treebank, based on support and
KL divergence.
SisterAnnotationStats() SisterAnnotationStats
sisterCounters(Tree, Tree) SisterAnnotationStats
sisterSkip TreeJPanel
sisterSplitLevel EnglishTreebankParserParams.EnglishTrain
Set the support * KL cutoff level (1-4) for sister splitting
-- don't use it, as far as we can tell so far
sisterSplitters() AbstractTreebankParserParams
Returns the splitting strings used for selective splits.
sisterSplitters() ArabicTreebankParserParams
sisterSplitters() ChineseTreebankParserParams
sisterSplitters() EnglishTreebankParserParams
sisterSplitters() FrenchTreebankParserParams
sisterSplitters() HebrewTreebankParserParams
sisterSplitters() NegraPennTreebankParserParams
sisterSplitters() SpanishTreebankParserParams
sisterSplitters TrainOptions
sisterSplitters() TreebankLangParserParams
Returns the splitting strings used for selective splits.
sisterSplitters() TueBaDZParserParams
size GeneralDataset
size() GeneralDataset
Returns the number of examples (
Datums) in the Dataset.
size() CorefCluster
size() Clusterer.Cluster
size() FactorTable
size() StringDictionary
size() Span
size() FileSequentialCollection
Returns the size of the FileSequentialCollection.
size() IndexedWord
size() BoundedCostOrderedMap
size() TrieMap
size() PhraseTable.PhraseStringCollection
size() PhraseTable.StringList
size() PhraseTable.TokenList
size() PhraseTable.WordList
size() Experiments
Returns the number of training data items.
size() Features
size() Embedding
Getters & Setters
size() ObjectBank
Can be slow.
size() Weight
size() SentenceIndex
size() PatternsForEachTokenDB
size() PatternsForEachTokenInMemory
size() SemanticGraph
Returns the number of nodes in the graph
size() Clique
The number of nodes in the clique.
size() ObjectBankWrapper
size() ClassicCounter
Returns the number of entries stored in this counter.
size() Counter
Returns the number of entries stored in this counter.
size() IntCounter
size() TwoDimensionalCounter
size() TwoDimensionalCounterInterface
size() TwoDimensionalIntCounter
size() Extractors
size TestSentence
size() Constituent
Return the length of a Constituent
size() ChineseEnglishWordMap
size() MemoryTreebank
Returns the size of the Treebank.
size() Tree
Returns the number of nodes the tree contains.
size() Treebank
Returns the size of the Treebank.
size() ArrayCoreMap
Returns the number of elements in this map.
size() ArrayHeap
Get the number of elements in the heap.
size() ArrayMap
size() ArraySet
Returns size of set.
size() Beam
size() BinaryHeapPriorityQueue
Get the number of elements in the queue.
size() CollectionValuedMap
The number of keys in this map.
size() ConcurrentHashIndex
size() SynchronizedInterner
size() DeltaIndex
size() FixedPrioritiesPriorityQueue
Number of elements in the queue.
size() HashIndex
Returns the number of indexed objects.
size() Heap
The number of elements currently in the heap.
size() IdentityHashSet
Returns the number of elements in this set (its cardinality).
size() Index
Returns the number of indexed objects.
size() Interner
size() IntervalTree
size(U) MapList
size() MaxSizeConcurrentHashSet
size() PaddedList
size() ThreeDimensionalMap
size() TreeShapedStack
How many nodes in this branch of the stack
size() TwoDimensionalMap
size() TwoDimensionalSet
size() TypesafeMap
Returns the number of keys in the map.
SizedArrayListFactory(int) CollectionFactory.SizedArrayListFactory
sizeOuterMap() TwoDimensionalCounter
skewDivergence(Counter<E>, Counter<E>, double) Counters
Calculates the skew divergence between the two counters.
SKIP_COREF Constants
if true, skip coreference resolution.
skipForAnalysis(Mention, Mention, Properties) Sieve
skipOutputRegularization SeqClassifierFlags
skipRoot() Tree
Returns first child if this is unary and if the label at the current
node is either "ROOT" or empty.
skipThisMention(Document, Mention, CorefCluster, Dictionaries) DeterministicCorefSieve
Skip this mention? (search pruning)
skipThisMention(Document, Mention, CorefCluster, Dictionaries) DeterministicCorefSieve
Skip this mention? (search pruning)
skipValCalc AbstractStochasticCachingDiffUpdateFunction
SLASH RobustTokenizer
slashHyphenTreatment SeqClassifierFlags
slf4j RedwoodConfiguration.Handlers
Output to slf4j.
slf4j() RedwoodConfiguration
Run Redwood with SLF4J as the console backend
SLF4JHandler edu.stanford.nlp.util.logging
A handler for outputting to SLF4J rather than stderr.
SLF4JHandler() SLF4JHandler
sList ScaledSGDMinimizer
sList SGDWithAdaGradAndFOBOS
sloppyGazette SeqClassifierFlags
SloppyMath edu.stanford.nlp.math
The class SloppyMath contains methods for performing basic
numeric operations.
slurpFile(File) IOUtils
Returns all the text in the given File as a single String.
slurpFile(File, String) IOUtils
Returns all the text in the given File as a single String.
slurpFile(String, String) IOUtils
Returns all the text in the given file with the given encoding.
slurpFile(String) IOUtils
Returns all the text in the given file
slurpFileNoExceptions(String, String) IOUtils
Returns all the text in the given file with the given
encoding.
slurpFileNoExceptions(File) IOUtils
Returns all the text in the given file with the given
encoding.
slurpFileNoExceptions(String) IOUtils
Returns all the text in the given file with the given
encoding.
slurpGZippedFile(String) IOUtils
Returns all the text in the given File as a single String.
slurpGZippedFile(File) IOUtils
Returns all the text in the given File as a single String.
slurpInputStream(InputStream, String) IOUtils
Read the contents of an input stream, decoding it according to the given character encoding.
slurpReader(Reader) IOUtils
Returns all the text from the given Reader.
slurpURL(URL, String) IOUtils
Returns all the text at the given URL.
slurpURL(URL) IOUtils
Returns all the text at the given URL.
slurpURL(String) IOUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL, String) IOUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL) IOUtils
Returns all the text at the given URL.
slurpURLNoExceptions(String) IOUtils
Returns all the text at the given URL.
SMALL_BATCH PatternsForEachTokenDB
SMALL_URL RobustTokenizer
smallConst CRFLogConditionalObjectiveFunction
SMART_QUOTES QuoteAnnotator
smartMutation ArabicUnknownWordModel
smartMutation BaseLexicon
Have tags changeable based on statistics on word types having various
taggings.
smartMutation EnglishUnknownWordModel
smartMutation FrenchUnknownWordModel
smartMutation Options.LexOptions
Smarter smoothing for rare words.
smartMutation SpanishUnknownWordModel
SMDMinimizer T extends Function > - Class in edu.stanford.nlp.optimization
Stochastic Meta Descent Minimizer based on
SMDMinimizer() SMDMinimizer
SMDMinimizer(double, int, StochasticCalculateMethods, int) SMDMinimizer
SMDMinimizer(double, int, StochasticCalculateMethods, int, boolean) SMDMinimizer
smooth(List<double[]>) StochasticMinimizer
smooth_aPTW_aPT MLEDependencyGrammar
smooth_aT_hTd MLEDependencyGrammar
smooth_aT_hTWd MLEDependencyGrammar
Bayesian m-estimate prior for aT given hTWd against base distribution
of aT given hTd.
smooth_aTW_aT MLEDependencyGrammar
smooth_aTW_hTd MLEDependencyGrammar
smooth_aTW_hTWd MLEDependencyGrammar
Bayesian m-estimate prior for aTW given hTWd against base distribution
of aTW given hTd.
smooth_stop MLEDependencyGrammar
smoothing TrainOptions
TODO wsg2011: This is the old grammar smoothing parameter that no
longer does anything in the parser.
smoothInUnknownsThreshold BaseLexicon
If a word has been seen more than this many times, then relative
frequencies of tags are used for POS assignment; if not, they are smoothed
with tag priors.
smoothInUnknownsThreshold Options.LexOptions
Words more common than this are tagged with MLE P(t|w).
softmax(double[]) ArrayMath
softmax(SimpleMatrix) NeuralUtils
Applies softmax to all of the elements of the matrix.
softmaxOutputLayer SeqClassifierFlags
softmaxTieLambda SeqClassifierFlags
solveCG() CGRunner
Solves the problem using conjugate gradient (CG).
solveL1(double) CGRunner
Solves the problem using OWLQN.
solveOWLQN2(double) CGRunner
solveQN() CGRunner
Solves the problem using a quasi-newton method (L-BFGS).
sortByExtent(List<ExtractionObject>) ExtractionObject
sortByHeadSpan(List<EntityMention>) EntityMention
sorted(Iterable<T>) CollectionUtils
Return the items of an Iterable as a sorted list.
sorted(Iterable<T>, Comparator<T>) CollectionUtils
Return the items of an Iterable as a sorted list.
sortedEntries(Collection<Map.Entry<K, V>>) Maps
Sorts a list of entries.
sortedEntries(Map<K, V>) Maps
Returns a List of entries in the map, sorted by key.
sortedIfPossible(Collection<T>) ErasureUtils
sortFiles CoNLLDocumentReader.Options
sortFiles CoNLL2011DocumentReader.Options
sortIntoBlocks(Collection) FastExactAutomatonMinimizer
source() DFSATransition
SOURCE_FIELD_NUMBER CoreNLPProtos.DependencyGraph.Edge
sourceBG() GrammarProjection
SOURCECOPY_FIELD_NUMBER CoreNLPProtos.DependencyGraph.Edge
sourceTree RelationTriple.WithTree
sourceUG() GrammarProjection
SpaceBeforeAnnotation() CoreAnnotations.SpaceBeforeAnnotation
Span edu.stanford.nlp.ie.machinereading.structure
Stores the offsets for a span of text
Offsets may indicate either token or byte positions
Start is inclusive, end is exclusive
Span(int, int) Span
This assumes that s <= e.
Span(Span...) Span
Creates a span that encloses all spans in the argument list.
Span edu.stanford.nlp.trees
A Span is an optimized SimpleConstituent object.
Span() Span
Create an empty Span object.
Span(int, int) Span
Create a Span object with given values.
SPAN_FIELD_NUMBER CoreNLPProtos.Token
SpanAnnotation() CoreAnnotations.SpanAnnotation
SPANISH_PROPERTIES LanguageInfo
Spanish_VALUE CoreNLPProtos.Language
Spanish = 8;
SpanishHeadFinder edu.stanford.nlp.trees.international.spanish
SpanishHeadFinder() SpanishHeadFinder
SpanishHeadFinder(TreebankLanguagePack) SpanishHeadFinder
SpanishSplitTreeNormalizer edu.stanford.nlp.trees.international.spanish
A tree normalizer made to be used immediately on trees which have
been split apart.
SpanishSplitTreeNormalizer() SpanishSplitTreeNormalizer
spanishToEnglishTag(String) NERCombinerAnnotator
convert Spanish tag content of older models
SpanishTokenizer T extends HasWord > - Class in edu.stanford.nlp.international.spanish.process
Tokenizer for raw Spanish text.
SpanishTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean, boolean, boolean) SpanishTokenizer
Constructor.
SpanishTokenizer.SpanishTokenizerFactory T extends HasWord > - Class in edu.stanford.nlp.international.spanish.process
A factory for Spanish tokenizer instances.
SpanishTreebankLanguagePack edu.stanford.nlp.trees.international.spanish
Language pack for the Spanish treebank.
SpanishTreebankLanguagePack() SpanishTreebankLanguagePack
SpanishTreebankParserParams edu.stanford.nlp.parser.lexparser
TreebankLangParserParams for the AnCora corpus.
SpanishTreebankParserParams() SpanishTreebankParserParams
SpanishTreeNormalizer edu.stanford.nlp.trees.international.spanish
Normalize trees read from the AnCora Spanish corpus.
SpanishTreeNormalizer() SpanishTreeNormalizer
SpanishTreeNormalizer(boolean, boolean, boolean) SpanishTreeNormalizer
SpanishTreeReaderFactory edu.stanford.nlp.trees.international.spanish
A class for reading Spanish AnCora trees that have been converted
from XML to PTB format.
SpanishTreeReaderFactory() SpanishTreeReaderFactory
SpanishUnknownWordModel edu.stanford.nlp.parser.lexparser
SpanishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) SpanishUnknownWordModel
SpanishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) SpanishUnknownWordModel
This constructor creates an UWM with empty data structures.
SpanishUnknownWordModelTrainer edu.stanford.nlp.parser.lexparser
SpanishUnknownWordModelTrainer() SpanishUnknownWordModelTrainer
SpanishUnknownWordSignatures edu.stanford.nlp.international.spanish
Contains patterns for matching certain word types in Spanish, such
as common suffices for nouns, verbs, adjectives and adverbs.
SpanishVerbStripper edu.stanford.nlp.international.spanish
Provides a utility function for removing attached pronouns from
Spanish verb forms.
SpanishVerbStripper.StrippedVerb edu.stanford.nlp.international.spanish
A struct describing the result of verb stripping.
SpanishXMLTreeReader edu.stanford.nlp.trees.international.spanish
A reader for XML format AnCora treebank files.
SpanishXMLTreeReader(String, Reader, boolean, boolean, boolean, boolean) SpanishXMLTreeReader
Read parse trees from a Reader.
SpanishXMLTreeReaderFactory edu.stanford.nlp.trees.international.spanish
A class for reading Spanish Treebank trees that have been converted
from XML to PTB format.
SpanishXMLTreeReaderFactory() SpanishXMLTreeReaderFactory
SpanishXMLTreeReaderFactory(boolean, boolean, boolean, boolean) SpanishXMLTreeReaderFactory
spanToString() Mention
spanToString() Mention
sparseOutputLayer SeqClassifierFlags
speaker() CoreQuote
retrieve the text of the speaker
speaker XMLToAnnotation.GoldQuoteInfo
SPEAKER_FIELD_NUMBER CoreNLPProtos.Quote
SPEAKER_FIELD_NUMBER CoreNLPProtos.Token
SpeakerAnnotation() CoreAnnotations.SpeakerAnnotation
SpeakerAnnotation() QuoteAttributionAnnotator.SpeakerAnnotation
speakerCharOffsets() CoreQuote
retrieve the character offsets of the speaker
speakerEntityMention() CoreQuote
retrieve the entity mention corresponding to the speaker if there is one
speakerInfo Mention
SpeakerInfo edu.stanford.nlp.coref.data
Information about a speaker
SpeakerInfo(String) SpeakerInfo
speakerInfo Mention
SpeakerInfo edu.stanford.nlp.dcoref
Information about a speaker
SpeakerInfo(String) SpeakerInfo
SPEAKERINFO_FIELD_NUMBER CoreNLPProtos.Mention
speakerInfoGiven Document
speakerInfoMap Document
Map of speaker name/id to speaker info
the key is the value of the variable 'speakers'
SpeakerMatch edu.stanford.nlp.coref.hybrid.sieve
SpeakerMatch() SpeakerMatch
SPEAKERNAME_FIELD_NUMBER CoreNLPProtos.SpeakerInfo
speakerPairs Document
Pair of mention id, and the mention's speaker id
the second value is the "speaker mention"'s id.
speakerPairs Document
Pair of mention id, and the mention's speaker id
speakers Document
UtteranceAnnotation -> String (speaker): mention ID or speaker string
e.g., the value can be "34" (mentionID), "Larry" (speaker string), or "PER3" (autoassigned speaker string)
speakers Document
Map UtteranceAnnotation to String (speaker): mention ID or speaker string
SPEAKERSIEVE_FIELD_NUMBER CoreNLPProtos.Quote
SpeakerSieveAnnotation() QuoteAttributionAnnotator.SpeakerSieveAnnotation
speakerTokens() CoreQuote
retrieve the tokens of the speaker
spearmanRankCorrelation(Counter<E>, Counter<E>) Counters
spec() ConfusionMatrix.Contingency
SpecialNodePatternExpr(String) SequencePattern.SpecialNodePatternExpr
SpecialNodePatternExpr(String, Factory<SequencePattern.State>) SequencePattern.SpecialNodePatternExpr
spliceOut(Predicate<Tree>) Tree
Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
spliceOut(Predicate<Tree>, TreeFactory) Tree
Creates a (partial) deep copy of the tree, where all nodes that the
filter does not accept are spliced out.
split(double) Dataset
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
split(int, int) Dataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
split(int, int) GeneralDataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
split(double) GeneralDataset
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
split(double) RVFDataset
split(int, int) RVFDataset
split(String) StringUtils
Splits on whitespace (\\s+).
split(String, String) StringUtils
Splits the given string using the given regex as delimiters.
splitAux EnglishTreebankParserParams.EnglishTrain
Make special tags for forms of BE and HAVE (and maybe DO/HELP, etc.).
splitBaseNP ChineseTreebankParserParams
Mark base NPs.
splitBaseNP EnglishTreebankParserParams.EnglishTrain
Mark base NPs.
splitBetas() SplittingGrammarExtractor
Before each iteration of splitting states, we have tables of
betas which correspond to the transitions between different
substates.
splitCC EnglishTreebankParserParams.EnglishTrain
Provide annotation of conjunctions.
splitChar WordToTaggedWordProcessor
The char that we will split on.
splitCompoundOption FrenchTokenizer.FrenchTokenizerFactory
splitCompoundOption SpanishTokenizer.SpanishTokenizerFactory
splitContractionOption FrenchTokenizer.FrenchTokenizerFactory
splitContractionOption SpanishTokenizer.SpanishTokenizerFactory
splitCoreMap(Pattern, boolean, CoreMap, CoreTokenFactory<T>) ChunkAnnotationUtils
splitCount TrainOptions
If we are predicting splits, we loop this many times
splitDocuments SeqClassifierFlags
spliterator() IterableIterator
spliterator() MaxSizeConcurrentHashSet
splitFieldsFast(String, String) StringUtils
Splits a string into whitespace tokenized fields based on a delimiter and then whitespace.
splitFilter AbstractDataset
SplitFilter(Set<String>) AbstractDataset.SplitFilter
splitIN EnglishTreebankParserParams.EnglishTrain
Annotate prepositions into subcategories.
splitJJCOMP EnglishTreebankParserParams.EnglishTrain
Put a special tag on 'adjectives with complements'.
splitMoreLess EnglishTreebankParserParams.EnglishTrain
Specially mark the comparative/superlative words: less, least,
more, most
splitMorphString(String, String) MorphoFeatureSpecification
Returns the lemma as pair.first() and the morph analysis as pair.second().
splitNNP EnglishTreebankParserParams.EnglishTrain
Mark NNP words as to position in phrase (single, left, right, inside)
or subcategorizes NNP(S) as initials or initial/final in NP.
splitNOT EnglishTreebankParserParams.EnglishTrain
Annotates forms of "not" specially as tag "NOT".
splitNPADV EnglishTreebankParserParams.EnglishTrain
Retain NP-ADV annotation.
splitNPNNP EnglishTreebankParserParams.EnglishTrain
Mark NP-NNP.
splitNPpercent EnglishTreebankParserParams.EnglishTrain
Mark phrases that are headed by %.
splitNPPRP EnglishTreebankParserParams.EnglishTrain
splitNPTMP ChineseTreebankParserParams
Whether to retain the -TMP functional tag on various phrasal
categories.
splitNumNP EnglishTreebankParserParams.EnglishTrain
Mark "numeric NPs".
splitOnChar(String, char) StringUtils
Split a string on a given single character.
splitOnChar(String[], String, char) StringUtils
Split on a given character, filling out the fields in the output array.
splitOnCharWithQuoting(String, char, char, char) StringUtils
This function splits the String s into multiple Strings using the
splitChar.
splitOnHead SeqClassifierFlags
splitOutFold(int, int) GeneralDataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
splitPercent EnglishTreebankParserParams.EnglishTrain
Mark the nouns that are percent signs.
splitPoss EnglishTreebankParserParams.EnglishTrain
Give a special tag to NPs which are possessive NPs (end in 's).
splitPPJJ EnglishTreebankParserParams.EnglishTrain
A special test for "such" mainly ("such as Fred").
splitPPTMP ChineseTreebankParserParams
splitPrePreT TrainOptions
Mark all pre-preterminals (also does splitBaseNP: don't need both)
splitQuotes EnglishTreebankParserParams.EnglishTrain
Mark quote marks for single vs.
splitRB EnglishTreebankParserParams.EnglishTrain
Split modifier (NP, AdjP) adverbs from others.
splitRecombineRate TrainOptions
If we are predicting splits, we recombine states at this rate every loop
splitRules() BinaryGrammar
Populates the "splitRules" accessor lists using the existing rule lists.
splitRulesWithLC(int) BinaryGrammar
splitRulesWithRC(int) BinaryGrammar
splitSbar EnglishTreebankParserParams.EnglishTrain
Split SBAR nodes.
splitSFP EnglishTreebankParserParams.EnglishTrain
Separate out sentence final punct.
splitSGapped EnglishTreebankParserParams.EnglishTrain
Mark specially S nodes with "gapped" subject (control, raising).
splitSlashHyphenWords SeqClassifierFlags
splitSTag EnglishTreebankParserParams.EnglishTrain
Mark S/SINV/SQ nodes according to verbal tag.
splitters TrainOptions
Set the splitter strings.
splitText(String) PhraseTable
SplittingGrammarExtractor edu.stanford.nlp.parser.lexparser
This class is a reimplementation of Berkeley's state splitting
grammar.
SplittingGrammarExtractor(Options) SplittingGrammarExtractor
splitTMP EnglishTreebankParserParams.EnglishTrain
Retain NP-TMP (or maybe PP-TMP) annotation.
splitTRJJ EnglishTreebankParserParams.EnglishTrain
Put a special tag on 'transitive adjectives' with NP complement, like
'due May 15' -- it also catches 'such' in 'such as NP', which may
be a good.
splitVerbOption SpanishTokenizer.SpanishTokenizerFactory
splitVP EnglishTreebankParserParams.EnglishTrain
Add (head) tags to VPs.
splitVPNPAgr EnglishTreebankParserParams.EnglishTrain
Put enough marking on VP and NP to permit "agreement".
splitWordRegex SeqClassifierFlags
splitXPTMP ChineseTreebankParserParams
SPRING SUTime
SPRING_EQUINOX SUTime
SQflatten(Tree) CoordinationTransformer
Removes the SQ structure under a WHNP question, such as "Who am I
to judge?".
SQLConnection edu.stanford.nlp.patterns
Created by sonalg on 10/8/14.
SQLConnection() SQLConnection
SQNMinimizer T extends Function > - Class in edu.stanford.nlp.optimization
Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
SQNMinimizer(int) SQNMinimizer
SQNMinimizer() SQNMinimizer
SQNMinimizer(int, double, int, boolean) SQNMinimizer
sqrtPatScore ConstantsAndVariables
If score for a pattern is square rooted
SRLIDAnnotation() CoreAnnotations.SRLIDAnnotation
SRLInstancesAnnotation() CoreAnnotations.SRLInstancesAnnotation
ssl StanfordCoreNLPServer
st TokenizerAdapter
StackedNamedEntityTagAnnotation() CoreAnnotations.StackedNamedEntityTagAnnotation
Stage() CoreMapExpressionExtractor.Stage
stage SequenceMatchRules.AnnotationExtractRule
Stage in which this rule should be applied with respect to others
stalledIterationLimit TrainOptions
How many iterations to allow training to stall before taking the
best model, if training in an iterative manner
standard() RedwoodConfiguration
A standard Redwood configuration, which prints to the console with channels.
standardDeviation(Counter<E>) Counters
standardErrorOfMean(double[]) ArrayMath
standardISODateFields JodaTimeUtils
standardISOFields JodaTimeUtils
standardISOTimeFields JodaTimeUtils
standardISOWeekFields JodaTimeUtils
standardize(double[]) ArrayMath
Standardize values in this array, i.e., subtract the mean and divide by the standard deviation.
stanford StanfordCoreNLPServer
STANFORD_CLEAN_XML Annotator
STANFORD_COLUMN_DATA_CLASSIFIER Annotator
STANFORD_COREF Annotator
STANFORD_COREF_MENTION Annotator
STANFORD_DEPENDENCIES Annotator
STANFORD_DETERMINISTIC_COREF Annotator
STANFORD_ENTITY_MENTIONS Annotator
STANFORD_GENDER Annotator
STANFORD_KBP Annotator
STANFORD_LEMMA Annotator
STANFORD_LINK Annotator
STANFORD_NATLOG Annotator
STANFORD_NER Annotator
STANFORD_OPENIE Annotator
STANFORD_PARSE Annotator
STANFORD_POS Annotator
STANFORD_QUOTE Annotator
STANFORD_QUOTE_ATTRIBUTION Annotator
STANFORD_REGEXNER Annotator
STANFORD_RELATION Annotator
STANFORD_SENTIMENT Annotator
STANFORD_SSPLIT Annotator
STANFORD_TOKENIZE Annotator
These are annotators which StanfordCoreNLP knows how to create.
STANFORD_TOKENSREGEX Annotator
STANFORD_TRUECASE Annotator
STANFORD_UD_FEATURES Annotator
StanfordCoreNLP edu.stanford.nlp.pipeline
This is a pipeline that takes in a string and returns various analyzed
linguistic forms.
StanfordCoreNLP() StanfordCoreNLP
Constructs a pipeline using as properties the properties file found in the classpath
StanfordCoreNLP(Properties) StanfordCoreNLP
Construct a basic pipeline.
StanfordCoreNLP(Properties, AnnotatorPool) StanfordCoreNLP
Construct a CoreNLP with a custom Annotator Pool.
StanfordCoreNLP(Properties, boolean) StanfordCoreNLP
StanfordCoreNLP(Properties, boolean, AnnotatorPool) StanfordCoreNLP
StanfordCoreNLP(String) StanfordCoreNLP
Constructs a pipeline with the properties read from this file, which must be found in the classpath
StanfordCoreNLP(String, boolean) StanfordCoreNLP
StanfordCoreNLP.AnnotatorSignature edu.stanford.nlp.pipeline
An annotator name and its associated signature.
StanfordCoreNLP.OutputFormat edu.stanford.nlp.pipeline
StanfordCoreNLPClient edu.stanford.nlp.pipeline
An annotation pipeline in spirit identical to
StanfordCoreNLP, but
with the backend supported by a web server.
StanfordCoreNLPClient(Properties) StanfordCoreNLPClient
Run the client, pulling credentials from the environment.
StanfordCoreNLPClient(Properties, String, int) StanfordCoreNLPClient
Run on a single backend.
StanfordCoreNLPClient(Properties, String, int, String, String) StanfordCoreNLPClient
Run on a single backend, with authentication
StanfordCoreNLPClient(Properties, String, String, String) StanfordCoreNLPClient
Run on a single backend, with authentication
StanfordCoreNLPClient(Properties, String, int, int) StanfordCoreNLPClient
Run on a single backend, but with k threads on each backend.
StanfordCoreNLPClient(Properties, String, int, int, String, String) StanfordCoreNLPClient
Run on a single backend, but with k threads on each backend, and with authentication
StanfordCoreNLPServer edu.stanford.nlp.pipeline
This class creates a server that runs a new Java annotator in each thread.
StanfordCoreNLPServer(Properties, int, int, boolean) StanfordCoreNLPServer
Create a new Stanford CoreNLP Server.
StanfordCoreNLPServer(int, int, boolean) StanfordCoreNLPServer
Create a new Stanford CoreNLP Server.
StanfordCoreNLPServer() StanfordCoreNLPServer
Create a new Stanford CoreNLP Server, with the default parameters.
StanfordCoreNLPServer(Properties) StanfordCoreNLPServer
Create a new Stanford CoreNLP Server with the default parameters and
pass in properties (server_id, ...).
StanfordCoreNLPServer.CoreNLPHandler edu.stanford.nlp.pipeline
The main handler for taking an annotation request, and annotating it.
StanfordCoreNLPServer.FileHandler edu.stanford.nlp.pipeline
Serve a file from the filesystem or classpath
StanfordCoreNLPServer.FinishedRequest edu.stanford.nlp.pipeline
A callback object that lets us hook into the result of an annotation request.
StanfordCoreNLPServer.LiveHandler edu.stanford.nlp.pipeline
A handler to let the caller know if the server is alive,
but not necessarily ready to respond to requests.
StanfordCoreNLPServer.PingHandler edu.stanford.nlp.pipeline
A simple ping test.
StanfordCoreNLPServer.ReadyHandler edu.stanford.nlp.pipeline
A handler to let the caller know if the server is alive AND ready to respond to requests.
StanfordCoreNLPServer.SemgrexHandler edu.stanford.nlp.pipeline
A handler for matching semgrex patterns against dependency trees.
StanfordCoreNLPServer.ShutdownHandler edu.stanford.nlp.pipeline
Sending the appropriate shutdown key will gracefully shutdown the server.
StanfordCoreNLPServer.TokensRegexHandler edu.stanford.nlp.pipeline
A handler for matching TokensRegex patterns against text.
StanfordCoreNLPServer.TregexHandler edu.stanford.nlp.pipeline
A handler for matching tregrex patterns against dependency trees.
stanfordDependencies GrammaticalStructureConversionUtils.ConverterOptions
stanfordProcessor MentionExtractor
StanfordRedwoodConfiguration edu.stanford.nlp.util.logging
start() Span
start() BasicSequenceMatchResult
start(int) BasicSequenceMatchResult
start(String) BasicSequenceMatchResult
start(int) SequenceMatcher
start(String) SequenceMatchResult
Returns the start index of the subsequence captured by the given group
during this match.
start ParserConstraint
start Item
start LatticeEdge
start() Constituent
access start node.
start() SimpleConstituent
access start node.
start() Timing
Start timer.
StartAndEndArabicSegmenterFeatureFactory 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).
StartAndEndArabicSegmenterFeatureFactory() StartAndEndArabicSegmenterFeatureFactory
startDoing(String) Timing
Print the start of timing message to stderr and start the timer.
startElement(String, String, String, Attributes) TransformXML.SAXInterface
startEvaluateIters SeqClassifierFlags
startFold SeqClassifierFlags
startIndex CorefChain.CorefMention
Starting word number, indexed from 1
startIndex Mention
startIndex CorefChain.CorefMention
Starting word number, indexed from 1
startIndex Mention
STARTINDEX_FIELD_NUMBER CoreNLPProtos.Mention
StartMatchAction(SequencePattern<T>) SequenceMatchAction.StartMatchAction
startNode HTKLatticeReader.LatticeWord
startOfTagMap LDCPosMapper
startSymbol() AbstractTreebankLanguagePack
Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
startSymbol() TreebankLanguagePack
Returns a String which is the first (perhaps unique) start symbol
of the treebank, or null if none is defined.
startSymbolAcceptFilter() AbstractTreebankLanguagePack
Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
startSymbolAcceptFilter() TreebankLanguagePack
Return a filter that accepts a String that is a start symbol
of the treebank, and rejects everything else.
startSymbols() AbstractTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() ArabicTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() FrenchTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() HebrewTreebankLanguagePack
startSymbols() NegraPennLanguagePack
Returns a String array of treebank start symbols.
startSymbols() ChineseTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() SpanishTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() TueBaDZLanguagePack
startSymbols() PennTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() TreebankLanguagePack
Returns a String array of treebank start symbols.
startThreads(String) Redwood
Start a multithreaded logging environment.
startThreads(String) Redwood.Util
startTime StanfordCoreNLPServer.ReadyHandler
The creation time of this handler.
startTime() Timing
Start (static) timer.
startTrack(Object...) Redwood
Begin a "track;" that is, begin logging at one level deeper.
startTrack(Object...) Redwood.Util
state CrossValidator.SavedState
State(SemanticGraphEdge, SemanticGraphEdge, int, SemanticGraphEdge, Consumer<SemanticGraph>, boolean) ClauseSplitterSearchProblem.State
State(ClauseSplitterSearchProblem.State, boolean) ClauseSplitterSearchProblem.State
state ParserConstraint
state Item
state(String, int) SplittingGrammarExtractor
State edu.stanford.nlp.parser.shiftreduce
A class which encodes the current state of the parsing.
State(List<Tree>) State
Expects a list of preterminals.
State.HeadPosition edu.stanford.nlp.parser.shiftreduce
Used to describe the relative location of separators to the head of a subtree
StateAnnotation() CoreAnnotations.StateAnnotation
stateChanged(ChangeEvent) InputPanel
stateID() DFSAState
stateIndex BiLexPCFGParser
stateIndex BinaryGrammarExtractor
stateIndex ExhaustivePCFGParser
stateIndex GrammarCompactor
stateIndex LexicalizedParser
StatementTextAnnotation() CoreAnnotations.StatementTextAnnotation
states() DFSA
STATES_PROP HybridCorefProperties
STATES_PROP Constants
STATES_PROVINCES_PROP HybridCorefProperties
STATES_PROVINCES_PROP Constants
statesAbbreviation Dictionaries
statesAbbreviation Dictionaries
statesAndProvinces Dictionaries
statesAndProvinces Dictionaries
statesReachable() DFSAState
StatisticalCorefAlgorithm edu.stanford.nlp.coref.statistical
Does best-first coreference resolution by linking each mention to its highest scoring candidate
antecedent if that score is above a threshold.
StatisticalCorefAlgorithm(Properties, Dictionaries) StatisticalCorefAlgorithm
StatisticalCorefAlgorithm(Properties, Dictionaries, String, String, int, int, double) StatisticalCorefAlgorithm
StatisticalCorefAlgorithm(Properties, Dictionaries, String, String, int, int, double[]) StatisticalCorefAlgorithm
StatisticalCorefProperties edu.stanford.nlp.coref.statistical
Manages the properties for training and running statistical coreference systems.
StatisticalCorefProperties() StatisticalCorefProperties
StatisticalCorefTrainer edu.stanford.nlp.coref.statistical
Main class for training new statistical coreference systems.
StatisticalCorefTrainer() StatisticalCorefTrainer
statusPort StanfordCoreNLPServer
STDERR Redwood
STDERR Redwood.Util
stderr RedwoodConfiguration.Handlers
Output to a standard error.
stdev(double[]) ArrayMath
STDOUT Redwood
STDOUT Redwood.Util
stdout RedwoodConfiguration.Handlers
Output to a standard output.
stem(Word) Morphology
stem(String) Morphology
stem(CoreLabel) Morphology
Adds the LemmaAnnotation to the given CoreLabel.
stem(CoreLabel, Class<? extends CoreAnnotation<String>>) Morphology
Adds stem under annotation ann to the given CoreLabel.
StemAnnotation() CoreAnnotations.StemAnnotation
stemStatic(String, String) Morphology
Return a new WordTag which has the lemma as the value of word().
stemStatic(WordTag) Morphology
Return a new WordTag which has the lemma as the value of word().
stochasticBatchSize SeqClassifierFlags
StochasticCalculateMethods edu.stanford.nlp.optimization
This enumeratin was created to organize the selection of different methods for stochastic
calculations.
StochasticDiffFunctionTester edu.stanford.nlp.optimization
StochasticDiffFunctionTester(Function) StochasticDiffFunctionTester
stochasticMethod SeqClassifierFlags
StochasticMinimizer T extends Function > - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer.
StochasticMinimizer() StochasticMinimizer
StochasticMinimizer.PropertySetter T1 > - Interface in edu.stanford.nlp.optimization
STOP IntTaggedWord
stop() Redwood
Stop Redwood, closing all tracks and prohibiting future log messages.
stop() Timing
Stop timer.
stop(String, PrintStream) Timing
Print elapsed time and stop timer.
stop(String) Timing
Print elapsed time to System.err and stop timer.
stop(String, PrintWriter) Timing
Print elapsed time and stop timer.
STOP_TAG_INT IntTaggedWord
STOP_WORD_INT IntTaggedWord
stopCounter MLEDependencyGrammar
stopTW AbstractDependencyGrammar
stopWords Dictionaries
stopWords Dictionaries
stopWordsEn WordLists
stopWordsPatternFiles ConstantsAndVariables
Words that are not learned.
stopWordsZh WordLists
storePatsForEachToken ConstantsAndVariables
storeTrainData(Properties) HybridCorefProperties
str AbstractEval
stream() MaxSizeConcurrentHashSet
StreamGobbler edu.stanford.nlp.util
Reads the output of a process started by Process.exec()
Adapted from:
http://www.velocityreviews.com/forums/t130884-process-runtimeexec-causes-subprocess-hang.html
StreamGobbler(InputStream, Writer) StreamGobbler
strict StanfordCoreNLPServer
strictGoodCoNLL SeqClassifierFlags
StrictHeadMatch1 edu.stanford.nlp.coref.hybrid.sieve
StrictHeadMatch1() StrictHeadMatch1
StrictHeadMatch1 edu.stanford.nlp.dcoref.sievepasses
StrictHeadMatch1() StrictHeadMatch1
StrictHeadMatch2 edu.stanford.nlp.coref.hybrid.sieve
StrictHeadMatch2() StrictHeadMatch2
StrictHeadMatch2 edu.stanford.nlp.dcoref.sievepasses
StrictHeadMatch2() StrictHeadMatch2
StrictHeadMatch3 edu.stanford.nlp.coref.hybrid.sieve
StrictHeadMatch3() StrictHeadMatch3
StrictHeadMatch3 edu.stanford.nlp.dcoref.sievepasses
StrictHeadMatch3() StrictHeadMatch3
StrictHeadMatch4 edu.stanford.nlp.coref.hybrid.sieve
StrictHeadMatch4() StrictHeadMatch4
StrictHeadMatch4 edu.stanford.nlp.dcoref.sievepasses
StrictHeadMatch4() StrictHeadMatch4
strictlyFirstOrder SeqClassifierFlags
strictlySecondOrder SeqClassifierFlags
strictlyThirdOrder SeqClassifierFlags
strictlyZeroethOrder SeqClassifierFlags
STRING_MATCH_FUNCTION ValueFunctions
STRING_REPLACE_FUNCTION ValueFunctions
StringAnnotationPattern(String, int) ComplexNodePattern.StringAnnotationPattern
StringAnnotationPattern(String) ComplexNodePattern.StringAnnotationPattern
StringAnnotationRegexPattern(Pattern) ComplexNodePattern.StringAnnotationRegexPattern
StringAnnotationRegexPattern(String, int) ComplexNodePattern.StringAnnotationRegexPattern
stringAToByteArr(String) ConvertByteArray
stringConverter MultiClassPrecisionRecallExtendedStats
StringDictionary edu.stanford.nlp.ie.machinereading.common
StringDictionary(String) StringDictionary
StringDictionary.IndexAndCount edu.stanford.nlp.ie.machinereading.common
stringFromFile(String) IOUtils
Returns the contents of a file as a single string.
stringFromFile(String, String) IOUtils
Returns the contents of a file as a single string.
StringFunction(String, int) ValueFunctions.StringFunction
StringFunction(String, int, String) ValueFunctions.StringFunction
StringInSetAnnotationPattern(Set<String>, int) ComplexNodePattern.StringInSetAnnotationPattern
StringInSetAnnotationPattern(Set<String>) ComplexNodePattern.StringInSetAnnotationPattern
stringIntern(Pair<String, String>) Pair
If first and second are Strings, then this returns an MutableInternedPair
where the Strings have been interned, and if this Pair is serialized
and then deserialized, first and second are interned upon
deserialization.
StringLabel edu.stanford.nlp.ling
A StringLabel object acts as a Label by containing a
single String, which it sets or returns in response to requests.
StringLabel() StringLabel
Create a new StringLabel with a null content (i.e., str).
StringLabel(String) StringLabel
Create a new StringLabel with the given content.
StringLabel(String, int, int) StringLabel
Create a new StringLabel with the given content.
StringLabel(Label) StringLabel
Create a new StringLabel with the
value() of another label as its label.
StringLabeledScoredTreeReaderFactory edu.stanford.nlp.trees
This class implements a TreeReaderFactory that produces
labeled, scored array-based Trees, which have been cleaned up to
delete empties, etc.
StringLabeledScoredTreeReaderFactory() StringLabeledScoredTreeReaderFactory
StringLabelFactory edu.stanford.nlp.ling
A StringLabelFactory object makes a simple
StringLabel out of a String.
StringLabelFactory() StringLabelFactory
StringList(List<String>) PhraseTable.StringList
StringList(String[]) PhraseTable.StringList
StringMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) SequenceMatchRules.StringMatchedExpressionExtractor
stringMatchResultExtractor Env
StringMatchResultExtractor(Env, Expression, Expression) SequenceMatchRules.StringMatchResultExtractor
StringMatchResultExtractor(Env, Expression) SequenceMatchRules.StringMatchResultExtractor
StringNumberValue(Env) TokenSequenceParser
StringOutputStream edu.stanford.nlp.io
An OutputStream that can be turned into a String.
StringOutputStream() StringOutputStream
StringParsingTask E > - Class in edu.stanford.nlp.util
An instantiation of this abstract class parses a String and
returns an object of type E.
StringParsingTask(String) StringParsingTask
Constructs a new StringParsingTask from the specified
String.
StringParsingTask.ParserException edu.stanford.nlp.util
StringPatternExtractRule(Pattern, Function<MatchResult, O>) SequenceMatchRules.StringPatternExtractRule
StringPatternExtractRule(Env, String, Function<MatchResult, O>) SequenceMatchRules.StringPatternExtractRule
StringPatternExtractRule(String, Function<MatchResult, O>) SequenceMatchRules.StringPatternExtractRule
StringPatternExtractRule(Env, String, Function<MatchResult, O>, boolean) SequenceMatchRules.StringPatternExtractRule
StringRegex(Env) TokenSequenceParser
StringSequenceAnnotationPattern(Class, Set<List<String>>, boolean) MultiCoreMapNodePattern.StringSequenceAnnotationPattern
StringSequenceAnnotationPattern(Class, Set<List<String>>) MultiCoreMapNodePattern.StringSequenceAnnotationPattern
StringSequenceAnnotationPattern(Class, Map<List<String>, Object>, boolean) MultiCoreMapNodePattern.StringSequenceAnnotationPattern
StringSequenceAnnotationPattern(Class, Map<List<String>, Object>) MultiCoreMapNodePattern.StringSequenceAnnotationPattern
StringStringConverter() MultiClassPrecisionRecallExtendedStats.StringStringConverter
stringTagsAt(int) TestSentence
StringToIOB(List<CoreLabel>, Character, boolean) IOBUtils
Convert a String to a list of characters suitable for labeling in an IOB
segmentation model.
StringToIOB(List<CoreLabel>, Character, boolean, TokenizerFactory<CoreLabel>, String) IOBUtils
Convert a String to a list of characters suitable for labeling in an IOB
segmentation model.
StringToIOB(List<CoreLabel>, Character, boolean, boolean) IOBUtils
Convert a String to a list of characters suitable for labeling in an IOB
segmentation model.
StringToIOB(List<CoreLabel>, Character, boolean, boolean, TokenizerFactory<CoreLabel>, String) IOBUtils
Convert a String to a list of characters suitable for labeling in an IOB
segmentation model.
StringToIOB(String) IOBUtils
This version is for turning an unsegmented string to an IOB input, i.e.,
for processing raw text.
StringToIOB(String, Character) IOBUtils
stringToNewlineIsSentenceBreak(String) WordToSentenceProcessor
stringToParses(String) CharniakScoredParsesReaderWriter
Convert string representing scored parses (in the charniak parser output format)
to list of scored parse trees
stringToProperties(String) StringUtils
This method converts a comma-separated String (with whitespace
optionally allowed after the comma) representing properties
to a Properties object.
stringToProperties(String, Properties) StringUtils
This method updates a Properties object based on
a comma-separated String (with whitespace
optionally allowed after the comma) representing properties
to a Properties object.
stringToSet(String, String) StringUtils
StringUtils edu.stanford.nlp.util
StringUtils is a class for random String things, including output formatting and command line argument parsing.
stringUToByteArr(String) ConvertByteArray
stringWithoutArticle(String) Mention
stringWithoutArticle(String) Mention
stripCorporateTitles(String) KBPBasicSpanishCorefSystem
A utility to strip out corporate titles (e.g., "corp.", "incorporated", etc.)
stripEmptyNode(Tree) DependencyTreeTransformer
stripGF(String) AbstractTreebankLanguagePack
stripGF(String) NegraPennLanguagePack
stripGF(String) TueBaDZLanguagePack
stripGF(String) TreebankLanguagePack
Returns the category for a String with everything following
the gf character (which may be language specific) stripped.
stripNonAlphaNumerics(String) StringUtils
StrippedVerb(String, List<String>) SpanishVerbStripper.StrippedVerb
stripPrepCases(SemanticGraph) Util
Strip away case edges, if the incoming edge is a preposition.
stripSGML(String) StringUtils
stripTag(Tree) DependencyTreeTransformer
stripTags(Reader, List<Integer>, boolean) XMLUtils
StripTagsProcessor L ,F > - Class in edu.stanford.nlp.process
A Processor whose process method deletes all
SGML/XML/HTML tags (tokens starting with < and ending
with >.
StripTagsProcessor() StripTagsProcessor
Constructs a new StripTagsProcessor that doesn't mark line breaks.
StripTagsProcessor(boolean) StripTagsProcessor
Constructs a new StripTagProcessor that marks line breaks as specified.
stripVerb(String) SpanishVerbStripper
Remove attached pronouns from a strippable Spanish verb form.
STRONG_NEGATIVE_VALUE CoreNLPProtos.Sentiment
STRONG_NEGATIVE = 0;
STRONG_POSITIVE_VALUE CoreNLPProtos.Sentiment
STRONG_POSITIVE = 4;
strToEntity Dictionaries
strToFeatures(String) ArabicMorphoFeatureSpecification
Hand-written rules to convert SAMA analyses to feature structures.
strToFeatures(String) FrenchMorphoFeatureSpecification
strToFeatures(String) MorphoFeatureSpecification
style(StringBuilder, String, Color, Style) OutputHandler
Style a particular String segment, according to a color and style
Style edu.stanford.nlp.util.logging
ANSI supported styles (rather, a subset of).
styleChannel(String, Style) OutputHandler
Style the tag for a particular channel this style
subArray(Object[], int, int) ArrayUtils
SubcategorizationAnnotation() CoreAnnotations.SubcategorizationAnnotation
subcategoryStripper() AbstractTreebankParserParams
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
SubcategoryStripper() AbstractTreebankParserParams.SubcategoryStripper
subcategoryStripper() ArabicTreebankParserParams
Returns a TreeTransformer that retains categories
according to the following options supported by setOptionFlag:
subcategoryStripper() EnglishTreebankParserParams
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
subcategoryStripper() TreebankLangParserParams
Returns a TreeTransformer appropriate to the Treebank which
can be used to remove functional tags (such as "-TMP") from
categories.
subCWGaz SeqClassifierFlags
subjDeletionProbability(SemanticGraphEdge, Iterable<SemanticGraphEdge>) NaturalLogicWeights
Subject() KBPTokensregexExtractor.Subject
subject RelationTriple
The subject (first argument) of this triple
SUBJECT EnglishGrammaticalRelations
The "subject" grammatical relation.
SUBJECT ChineseGrammaticalRelations
The "subject" grammatical relation.
SUBJECT UniversalChineseGrammaticalRelations
The "subject" (subj) grammatical relation (abstract).
SUBJECT UniversalEnglishGrammaticalRelations
The "subject" grammatical relation.
SUBJECT_FIELD_NUMBER CoreNLPProtos.RelationTriple
subjectBegin OperatorSpec
subjectEnd OperatorSpec
subjectGloss() RelationTriple
The subject of this relation triple, as a String
subjectHead() RelationTriple
The head of the subject of this relation triple.
subjectHead() RelationTriple.WithTree
The head of the subject of this relation triple.
subjectLemmaGloss() RelationTriple
The subject of this relation triple, as a String of the subject's lemmas.
subjectLink() RelationTriple
The entity link of the subject
subjectLink RelationTriple.WithLink
The canonical entity link of the subject
subjectLink() RelationTriple.WithLink
The entity link of the subject
subjectOrNull ClauseSplitterSearchProblem.State
subjectSpan KBPRelationExtractor.KBPInput
SUBJECTSPANBEGIN_FIELD_NUMBER CoreNLPProtos.Operator
SUBJECTSPANEND_FIELD_NUMBER CoreNLPProtos.Operator
SUBJECTTOKENS_FIELD_NUMBER CoreNLPProtos.RelationTriple
subjectTokenSpan() RelationTriple
Gets the span of the NON-CANONICAL subject.
subjectType KBPRelationExtractor.KBPInput
subjMono Operator
subjType Operator
subjVerbPattern QMSieve
subList(int, int) MemoryTreebank
subsampleUnkAsNegUsingSim ConstantsAndVariables
subState Hook
substituteCost(Object, Object) EditDistance
substring(int, int) Sentence
subsumes(DepPattern, DepPattern) DepPattern
subsumes(PatternFactory.PatternType, Pattern, Pattern) Pattern
subsumes(SurfacePattern, SurfacePattern) SurfacePattern
True p1 subsumes p2 (p1 has longer context than p2)
subsumesArray(Object[], Object[]) SurfacePattern
True if array1 contains array2.
subsumesEitherWay(SurfacePattern, SurfacePattern) SurfacePattern
subtract(SUTime.Duration) SUTime.Duration
subtract(SUTime.Duration) SUTime.Range
subtract(SUTime.Duration, int) SUTime.Range
subtract(SUTime.Duration) SUTime.Time
SUBTRACT_FUNCTION ValueFunctions
subtractAll(IntCounter<E>) IntCounter
Subtracts the counts in the given Counter from the counts in this Counter.
subtractAll(K1, Counter<K2>) TwoDimensionalCounter
subtractAll(TwoDimensionalCounterInterface<K1, K2>, boolean) TwoDimensionalCounter
subtractAll(K1, IntCounter<K2>) TwoDimensionalIntCounter
subtractAll(TwoDimensionalIntCounter<K1, K2>, boolean) TwoDimensionalIntCounter
subtractInPlace(Counter<E>, Counter<E>) Counters
Sets each value of target to be target[k]-arg[k] for all keys k in target.
subtractInPlace(double[], Counter<E>, Index<E>) Counters
Sets each value of double[] target to be
target[idx.indexOf(k)]-a.getCount(k) for all keys k in arg
subTreeList() Tree
Get the list of all subtrees inside the tree by returning a tree
rooted at each node.
subTrees() Tree
Get the set of all subtrees inside the tree by returning a tree
rooted at each node.
subTrees(T) Tree
Add the set of all subtrees inside a tree (including the tree itself)
to the given Collection.
subType ExtractionObject
Subtype, if available, e.g., GPE.CITY
SUBTYPE_FIELD_NUMBER CoreNLPProtos.Entity
SUBTYPE_FIELD_NUMBER CoreNLPProtos.Relation
successorStates() DFSAState
SUFFIXBE_FIELD_NUMBER CoreNLPProtos.RelationTriple
SUFFIXOF_FIELD_NUMBER CoreNLPProtos.RelationTriple
sum(double[]) ArrayMath
Returns the sum of an array of doubles.
sum(double[], int, int) ArrayMath
Returns the sum of the portion of an array of numbers between
fromIndex, inclusive, and toIndex, exclusive.
sum(int[]) ArrayMath
sum(float[]) ArrayMath
sum(int[][]) ArrayMath
sum Feature
SUM CoreMapAttributeAggregator
sum(String) Dictionary
sumEntries(Counter<E>, Collection<E>) Counters
sumInnerCounter() TwoDimensionalCounter
Returns the counters with keys as the first key and count as the
total count of the inner counter for that key
summaryStatistics() Dataset
Prints some summary statistics to stderr for the Dataset.
summaryStatistics() GeneralDataset
Print some statistics summarizing the dataset
summaryStatistics() RVFDataset
Prints some summary statistics to the logger for the Dataset.
SUMMER SUTime
SUMMER_SOLSTICE SUTime
sumOutEnd() FactorTable
sumOutEnd() FloatFactorTable
sumOutFront() FactorTable
sumOutFront() FloatFactorTable
sumSquared(double[]) ArrayMath
sumSquaredError(double[]) ArrayMath
sumSquares(C) Counters
Return the sum of squares (squared L2 norm).
SUNDAY SUTime
SunJurafskyChineseHeadFinder edu.stanford.nlp.trees.international.pennchinese
A HeadFinder for Chinese based on rules described in Sun/Jurafsky NAACL 2004.
SunJurafskyChineseHeadFinder() SunJurafskyChineseHeadFinder
SunJurafskyChineseHeadFinder(TreebankLanguagePack) SunJurafskyChineseHeadFinder
sunJurafskyHeadFinder ChineseTreebankParserParams
SUNRISE SUTime
SUNSET SUTime
superPaint(Graphics) TreeJPanel
SupervisedSieve edu.stanford.nlp.quoteattribution.Sieves.QMSieves
Created by mjfang on 7/7/16.
SupervisedSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) SupervisedSieve
SupervisedSieveTraining edu.stanford.nlp.quoteattribution.Sieves.training
Created by mjfang on 12/1/16.
SupervisedSieveTraining() SupervisedSieveTraining
SupervisedSieveTraining.FeaturesData edu.stanford.nlp.quoteattribution.Sieves.training
SupervisedSieveTraining.SieveData edu.stanford.nlp.quoteattribution.Sieves.training
supFileCH SeqClassifierFlags
supFileEN SeqClassifierFlags
SUPPCUTOFF ParentAnnotationStats
Minimum support of parent annotated node for grandparent to be
studied.
SUPPCUTOFF SisterAnnotationStats
Minimum support of parent annotated node for grandparent to be
studied.
SUPPORTED_PROPERTIES EntityMentionsAnnotator
SUPPORTED_PROPERTIES RegexNERAnnotator
SUPPORTED_PROPERTIES TokensRegexNERAnnotator
supportedFonts(int) FontDetector
Returns which Fonts on the system can display the sample string.
supportsAnsi() OutputHandler
Specify whether this output handler supports ansi output
supportsAnsi() Redwood.ConsoleHandler
supportsAnsi Redwood
Check if the console supports ANSI escape codes.
supportsBasicDependencies() AbstractTreebankParserParams
By default, parsers are assumed to not support dependencies.
supportsBasicDependencies() ChineseTreebankParserParams
supportsBasicDependencies() EnglishTreebankParserParams
supportsBasicDependencies() TreebankLangParserParams
Whether our code provides support for converting phrase structure
(constituency) parses to (basic) dependency parses.
supportsGrammaticalStructures() AbstractTreebankLanguagePack
supportsGrammaticalStructures() ChineseTreebankLanguagePack
supportsGrammaticalStructures() PennTreebankLanguagePack
supportsGrammaticalStructures() TreebankLanguagePack
Whether or not we have typed dependencies for this language.
suppressBuckDigitConversion(boolean) Buckwalter
suppressBuckPunctConversion(boolean) Buckwalter
suppressMidDotPostprocessing SeqClassifierFlags
suppressTerminalDetails CategoryWordTag
If set to true, when a terminal or preterminal has as its category
something that is also the word or tag value, the latter are
suppressed.
suppressTestDebug SeqClassifierFlags
suppressTestPrompt(boolean) QNMinimizer
suppressTestPrompt(boolean) SGDWithAdaGradAndFOBOS
surfaceForm Operator
SurfacePattern edu.stanford.nlp.patterns.surface
To represent a surface pattern in more detail than TokenSequencePattern (this
class object is eventually compiled as TokenSequencePattern via the toString
method).
SurfacePattern(Token[], PatternToken, Token[], SurfacePatternFactory.Genre) SurfacePattern
SurfacePatternFactory edu.stanford.nlp.patterns.surface
Created by sonalg on 10/27/14.
SurfacePatternFactory() SurfacePatternFactory
SurfacePatternFactory.Genre edu.stanford.nlp.patterns.surface
SurpriseConvergence(String) QNMinimizer.SurpriseConvergence
SUTime edu.stanford.nlp.time
SUTime is a collection of data structures to represent various temporal
concepts and operations between them.
SUTime.CompositePartialTime edu.stanford.nlp.time
SUTime.Duration edu.stanford.nlp.time
A Duration represents a period of time (without endpoints).
SUTime.DurationRange edu.stanford.nlp.time
A range of durations.
SUTime.DurationWithFields edu.stanford.nlp.time
Duration that is specified using fields such as milliseconds, days, etc.
SUTime.DurationWithMillis edu.stanford.nlp.time
Duration specified in terms of milliseconds.
SUTime.ExplicitTemporalSet edu.stanford.nlp.time
Explicit set of times: like tomorrow and next week, not really used
SUTime.GroundedTime edu.stanford.nlp.time
SUTime.InexactDuration edu.stanford.nlp.time
Duration that is inexact.
SUTime.InexactTime edu.stanford.nlp.time
Inexact time, not sure when this is, but have some guesses.
SUTime.IsoDate edu.stanford.nlp.time
SUTime.IsoDateTime edu.stanford.nlp.time
SUTime.IsoTime edu.stanford.nlp.time
SUTime.OrdinalTime edu.stanford.nlp.time
The nth temporal.
SUTime.PartialTime edu.stanford.nlp.time
SUTime.PeriodicTemporalSet edu.stanford.nlp.time
PeriodicTemporalSet represent a set of times that occurs with some frequency.
SUTime.Range edu.stanford.nlp.time
A time interval
SUTime.RefTime edu.stanford.nlp.time
Reference time (some kind of reference time).
SUTime.RelativeTime edu.stanford.nlp.time
Relative Time (something not quite resolved).
SUTime.SimpleTime edu.stanford.nlp.time
Simple time (vague time that we don't really know what to do with)
SUTime.StandardTemporalType edu.stanford.nlp.time
SUTime.Temporal edu.stanford.nlp.time
Basic temporal object.
SUTime.TemporalOp edu.stanford.nlp.time
SUTime.TemporalSet edu.stanford.nlp.time
Exciting set of times
SUTime.Time edu.stanford.nlp.time
Time represents a time point on some time scale.
SUTime.TimeIndex edu.stanford.nlp.time
SUTime.TimeUnit edu.stanford.nlp.time
SUTime.TimeWithRange edu.stanford.nlp.time
SUTime.TimexAttr edu.stanford.nlp.time
SUTime.TimexDocFunc edu.stanford.nlp.time
SUTime.TimexMod edu.stanford.nlp.time
SUTime.TimexType edu.stanford.nlp.time
SUTIME_PROPERTY ChineseNumberSequenceClassifier
SUTIME_PROPERTY NumberSequenceClassifier
SUTimeMain edu.stanford.nlp.time
Main program for testing SUTime.
SVMLightClassifier L ,F > - Class in edu.stanford.nlp.classify
This class represents a trained SVM Classifier.
SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>) SVMLightClassifier
SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>, LinearClassifier<L, L>) SVMLightClassifier
SVMLightClassifierFactory L ,F > - Class in edu.stanford.nlp.classify
SVMLightClassifierFactory(String, String, String) SVMLightClassifierFactory
SVMLightClassifierFactory() SVMLightClassifierFactory
SVMLightClassifierFactory(boolean) SVMLightClassifierFactory
svmLightLineToDatum(String) Dataset
svmLightLineToRVFDatum(String) RVFDataset
svmModelFile SeqClassifierFlags
swaps MemoryMonitor
switchedFilter(Predicate<E>, boolean) Filters
Filter that's either negated or normal as specified.
symbol Unit
symbol UnitPrefix
symbolCounter BinaryGrammarExtractor
symmetricDiff(Set<E>, Set<E>) Sets
Returns the symmetric difference of sets s1 and s2 (i.e.
synchCorefMentionEntityMention(Annotation, Mention, CoreMap) CorefMentionAnnotator
Return true if the coref mention synchs with the entity mention
For instance the em "Joe Smith" synchs with "Joe Smith", "Joe Smith's" and "President Joe Smith's"
It does not synch with "Joe Smith's car" or "President Joe"
SynchronizedInterner T > - Class in edu.stanford.nlp.util.concurrent
For interning (canonicalizing) things in a multi-threaded environment.
SynchronizedInterner(Interner<T>) SynchronizedInterner
SynchronizedInterner(Interner<T>, Object) SynchronizedInterner
SynchronizedTreeTransformer edu.stanford.nlp.trees
If you have a TreeTransformer which is not threadsafe, and you need
to call it from multiple threads, this will wrap it in a
synchronized manner.
SynchronizedTreeTransformer(TreeTransformer) SynchronizedTreeTransformer
syncSpi() DisabledPreferences
synsets Mention
synsets Mention
system Unit
system UnitPrefix
systemIsSwapping() MemoryMonitor
systemRoot() DisabledPreferencesFactory
SystemUtils edu.stanford.nlp.util
Useful methods for running shell commands, getting the process ID, checking
memory usage, etc.
SystemUtils.ProcessException edu.stanford.nlp.util
Runtime exception thrown by execute.
SystemUtils.ProcessOutputStream edu.stanford.nlp.util
Helper class that acts as a output stream to a process
t0 SGDMinimizer
tab OutputHandler
The tab character
tabuDescendants(SemanticGraph, IndexedWord, Collection<IndexedWord>) SemanticGraphUtils
Finds the descendents of the given node in graph, avoiding the given set of nodes
tabuDescendants(SemanticGraph, IndexedWord, Collection<IndexedWord>, Collection<GrammaticalRelation>) SemanticGraphUtils
Finds the set of descendants for a node in the graph, avoiding the set of nodes and the
set of edge relations.
tag CategoryWordTag
tag() CategoryWordTag
tag() CoreLabel
Return the tag value of the label (or null if none).
tag() HasTag
Return the tag value of the label (or null if none).
tag() IndexedWord
tag() LabeledWord
tag MultiTokenTag
Tag(String, String, int) MultiTokenTag.Tag
tag MultiTokenTag.Tag
Tag edu.stanford.nlp.ling
A Tag object acts as a Label by containing a
String that is a part-of-speech tag.
Tag() Tag
Constructs a Tag object.
Tag(String) Tag
Constructs a Tag object.
Tag(Label) Tag
Creates a new tag whose tag value is the value of any
class that supports the Label interface.
tag() Tag
tag() TaggedWord
tag() WordLemmaTag
tag() WordTag
tag IntTaggedWord
tag() IntTaggedWord
tag Item
tag LabeledChunkIdentifier.LabelTagType
tag() Token
TAG_COLUMN TaggedFileRecord
TAG_INSIDE TaggerConfig
TAG_LABEL TaggedWordFactory
TAG_LABEL WordLemmaTagFactory
TAG_SEPARATOR CoreLabel
Tag separator to use by default
TAG_SEPARATOR TaggedFileRecord
TAG_SEPARATOR TaggerConfig
TAG_SEPARATOR_PROPERTY TaggerConfig
tagAndOutputSentence(List<? extends HasWord>, boolean, Morphology, PlainTextDocumentReaderAndWriter.OutputStyle, boolean, int, String, Writer) MaxentTagger
tagBin AbstractDependencyGrammar
tagBin(int) AbstractDependencyGrammar
tagBin(int) DependencyGrammar
Converts a tag (coded as an integer via a Numberer) from its
representation in the full tag space to the reduced (projected) tag
space used in the DependencyGrammar.
tagCoreLabels(List<CoreLabel>) MaxentTagger
Takes a sentence composed of CoreLabels and add the tags to the
CoreLabels, modifying the input sentence.
tagCoreLabels(List<CoreLabel>, boolean) MaxentTagger
Takes a sentence composed of CoreLabels and add the tags to the
CoreLabels, modifying the input sentence.
tagCoreLabelsOrHasWords(List<? extends HasWord>, Morphology, boolean) MaxentTagger
tagFilter GrammaticalStructure
tagFromXML(InputStream, Writer, String...) MaxentTagger
Uses an XML transformer to turn an input stream into a bunch of
output.
tagFromXML(Reader, Writer, String...) MaxentTagger
TaggedFileReader edu.stanford.nlp.tagger.io
TaggedFileRecord edu.stanford.nlp.tagger.io
Parses and specifies all the details for how to read some POS tagging data.
TaggedFileRecord.Format edu.stanford.nlp.tagger.io
taggedFiles TrainOptions
A set of files to use as extra information in the lexicon.
taggedLabeledYield() Tree
Returns a List<CoreLabel> from the tree.
taggedLeafLabels(Tree) Trees
returns the labels of the leaves in a Tree, augmented with POS tags.
taggedStringFromTree(Tree, boolean, String) ATBTreeUtils
Converts a parse tree into a string of tokens.
TaggedWord edu.stanford.nlp.ling
A TaggedWord object contains a word and its tag.
TaggedWord() TaggedWord
Create a new TaggedWord.
TaggedWord(String) TaggedWord
Create a new TaggedWord.
TaggedWord(String, String) TaggedWord
Create a new TaggedWord.
TaggedWord(Label) TaggedWord
Create a new TaggedWord.
TaggedWord(Label, Label) TaggedWord
Create a new TaggedWord.
TaggedWordFactory edu.stanford.nlp.ling
A TaggedWordFactory acts as a factory for creating objects of
class TaggedWord.
TaggedWordFactory() TaggedWordFactory
Create a new TaggedWordFactory.
TaggedWordFactory(char) TaggedWordFactory
Create a new TaggedWordFactory.
taggedWordList BiLexPCFGParser
taggedYield() Tree
Gets the tagged yield of the tree.
taggedYield(X) Tree
Gets the tagged yield of the tree -- that is, get the preterminals
as well as the terminals.
tagger EvaluateTreebank
The tagger optionally used before parsing.
tagger Config
Tagger edu.stanford.nlp.tagger.common
This module includes constants that are the same for all taggers,
as opposed to being part of their configurations.
Tagger() Tagger
TAGGER_HOME MaxentTagger
TaggerConfig edu.stanford.nlp.tagger.maxent
Reads and stores configuration information for a POS tagger.
TaggerConfig(TaggerConfig) TaggerConfig
We force you to pass in a TaggerConfig rather than any other
superclass so that we know the arg error checking has already occurred
TaggerConfig(String...) TaggerConfig
TaggerConfig(Properties) TaggerConfig
TaggerConfig.Mode edu.stanford.nlp.tagger.maxent
TaggerDemo edu.stanford.nlp.tagger.maxent.documentation
TaggerDemo2 edu.stanford.nlp.tagger.maxent.documentation
This demo shows user-provided sentences (i.e., List<HasWord>)
being tagged by the tagger.
TaggerExperiments edu.stanford.nlp.tagger.maxent
This class represents the training samples.
TaggerExperiments(TaggerConfig, MaxentTagger) TaggerExperiments
This method gets feature statistics from a training file found in the TaggerConfig.
TaggerFeature edu.stanford.nlp.tagger.maxent
Holds a Tagger Feature for the loglinear model.
TaggerFeature(int, int, FeatureKey, int, TaggerExperiments) TaggerFeature
TaggerFeatures edu.stanford.nlp.tagger.maxent
This class contains POS tagger specific features.
taggerSerializedFile TestOptions
POS tagger model used when preTag is enabled.
TaggingEval edu.stanford.nlp.parser.metrics
Computes POS tagging P/R/F1 from guess/gold trees.
TaggingEval(String) TaggingEval
TaggingEval(String, boolean, Lexicon) TaggingEval
tagHash BaseUnknownWordModel
This maps from a tag (as a label) to a Counter from word signatures to
their P(sig|tag), as estimated in the model.
tagId() FactoredLexiconEvent
tagIndex EntityCachingAbstractSequencePriorBIO
tagIndex AbstractDependencyGrammar
tagIndex BaseLexicon
tagIndex BaseUnknownWordModel
tagIndex BiLexPCFGParser
tagIndex ExhaustivePCFGParser
tagIndex LexicalizedParser
tagIndex MLEDependencyGrammarExtractor
tagITWList MLEDependencyGrammar
The indices of this list are in the tag binned space.
TagLabelAnnotation() CoreAnnotations.TagLabelAnnotation
tagMap LDCPosMapper
tagPA TrainOptions
Parent annotation on tags.
tagProjection AbstractDependencyGrammar
TagProjection edu.stanford.nlp.parser.lexparser
An interface for projecting POS tags onto a reduced
set for the dependency grammar.
tagRBGPA EnglishTreebankParserParams.EnglishTrain
Grand parent annotate RB to try to distinguish sentential ones and
ones in places like NP post modifier (things like 'very' are already
distinguished as their parent is ADJP).
Tags edu.stanford.nlp.ling.tokensregex.types
Tags that can be added to values or annotations
Tags(String...) Tags
tags BaseLexicon
Set of all tags as IntTaggedWord.
tags ExhaustivePCFGParser
Tags.TagsAnnotation edu.stanford.nlp.ling.tokensregex.types
TAGS_VALUE_FUNCTION ValueFunctions
TagsAnnotation() Tags.TagsAnnotation
tagSelectivePostSplit TrainOptions
tagSelectivePostSplitCutOff TrainOptions
tagSelectiveSplit TrainOptions
Do parent annotation on tags selectively.
tagSelectiveSplitCutOff TrainOptions
tagSentence(List<? extends HasWord>) MaxentTagger
Returns a new Sentence that is a copy of the given sentence with all the
words tagged with their part-of-speech.
tagSentence(List<? extends HasWord>, boolean) MaxentTagger
Returns a new Sentence that is a copy of the given sentence with all the
words tagged with their part-of-speech.
tagSentence(List<? extends HasWord>, boolean) TestSentence
Tags the sentence s by running maxent model.
tagSeparator TestSentence
tagSet(Function<String, String>) BaseLexicon
Return the Set of tags used by this tagger (available after training the tagger).
tagSet(Function<String, String>) ChineseCharacterBasedLexicon
Return the Set of tags used by this tagger (available after training the tagger).
tagSet(Function<String, String>) ChineseLexiconAndWordSegmenter
Return the Set of tags used by this tagger (available after training the tagger).
tagSet(Function<String, String>) Lexicon
Return the Set of tags used by this tagger (available after training the tagger).
tagSet() ShiftReduceParser
Return the Set of POS tags used in the model.
tagSet() MaxentTagger
tagSet() TTags
Return the Set of tags used by this tagger (available after training the tagger).
tagSet ArabicHeadFinder
tagsToEscape LDCPosMapper
tagString(Index<String>) IntTaggedWord
tagString(String) MaxentTagger
Tags the input string and returns the tagged version.
tagTokenizedString(String) MaxentTagger
Tags the tokenized input string and returns the tagged version.
tagWordSize ChineseTreebankParserParams
Annotate tags for number of characters contained.
tail(File, int, String) IOUtils
A Java implementation of the Unix tail functionality.
tail(File, int) IOUtils
take(T[], int) Iterables
Returns a shortened view of an iterator.
take(Iterable<T>, int) Iterables
Returns a shortened view of an iterator.
takeAdaGradientStep(Classifier.Cost, double, double) Classifier
Update classifier weights using the given training cost
information.
takeStep(AbstractStochasticCachingDiffFunction) InefficientSGDMinimizer
takeStep(AbstractStochasticCachingDiffFunction) ScaledSGDMinimizer
takeStep(AbstractStochasticCachingDiffFunction) SMDMinimizer
takeStep(AbstractStochasticCachingDiffFunction) SQNMinimizer
takeStep(AbstractStochasticCachingDiffFunction) StochasticMinimizer
tallyInternalNode(Tree, double) AbstractTreeExtractor
tallyInternalNode(Tree, double) BinaryGrammarExtractor
tallyLeaf(Tree, double) AbstractTreeExtractor
tallyLocalTree(Tree, double) AbstractTreeExtractor
tallyPreTerminal(Tree, double) AbstractTreeExtractor
tallyRoot(Tree, double) AbstractTreeExtractor
tallyRoot(Tree, double) MLEDependencyGrammarExtractor
tallyTree(Tree, double) AbstractTreeExtractor
tallyTreeIterator(Iterator<Tree>, Function<Tree, Tree>, double) AbstractTreeExtractor
tallyTrees(Collection<Tree>, double) AbstractTreeExtractor
target DFSATransition
target() DFSATransition
TARGET_FIELD_NUMBER CoreNLPProtos.DependencyGraph.Edge
targetAllowedNERs ConstantsAndVariables
Allowed NERs for labels.
targetAllowedTagsInitialsStr ConstantsAndVariables
Initials of all POS tags to use if
usePOS4Pattern is true, separated by comma.
targetBG() GrammarProjection
TARGETCOPY_FIELD_NUMBER CoreNLPProtos.DependencyGraph.Edge
targetUG() GrammarProjection
Tdiff edu.stanford.nlp.trees.tregex.gui
Extracts the differences between the sets of constituents indicated by
a pair of parse trees.
TEATIME SUTime
TeeStream edu.stanford.nlp.io
This class splits the calls to an OutputStream into two different
streams.
TeeStream(OutputStream, OutputStream) TeeStream
tempEdge BiLexPCFGParser
tempHook BiLexPCFGParser
TemplateHash edu.stanford.nlp.tagger.maxent
TemplateHash(MaxentTagger) TemplateHash
Temporal() SUTime.Temporal
Temporal(SUTime.Temporal) SUTime.Temporal
TEMPORAL_9 NPTmpRetainingTreeNormalizer
TEMPORAL_ACL03PCFG NPTmpRetainingTreeNormalizer
TEMPORAL_ALL_NP NPTmpRetainingTreeNormalizer
TEMPORAL_ALL_NP_AND_PP NPTmpRetainingTreeNormalizer
TEMPORAL_ALL_NP_EVEN_UNDER_PP NPTmpRetainingTreeNormalizer
TEMPORAL_ALL_NP_PP_ADVP NPTmpRetainingTreeNormalizer
TEMPORAL_ALL_TERMINALS NPTmpRetainingTreeNormalizer
TEMPORAL_ANY_TMP_PERCOLATED NPTmpRetainingTreeNormalizer
TEMPORAL_MODIFIER EnglishGrammaticalRelations
The "temporal modifier" grammatical relation.
TEMPORAL_MODIFIER ChineseGrammaticalRelations
The "temporal modifier" grammatical relation.
TEMPORAL_MODIFIER UniversalChineseGrammaticalRelations
The "temporal modifier" grammatical relation.
TEMPORAL_MODIFIER UniversalEnglishGrammaticalRelations
The "temporal modifier" grammatical relation.
TEMPORAL_NONE NPTmpRetainingTreeNormalizer
TEMPORAL_NP_AND_PP_WITH_NP_HEAD NPTmpRetainingTreeNormalizer
temporals Dictionaries
temporals Dictionaries
temporalsEn WordLists
TemporalSet() SUTime.TemporalSet
TemporalSet(SUTime.TemporalSet) SUTime.TemporalSet
temporalsZh WordLists
terminateOnAverageImprovement(boolean) QNMinimizer
terminateOnAvgImprovement(boolean, double) SGDWithAdaGradAndFOBOS
terminateOnAvgImprovement SeqClassifierFlags
terminateOnEvalImprovement(boolean) QNMinimizer
terminateOnEvalImprovement(boolean) SGDWithAdaGradAndFOBOS
terminateOnEvalImprovement SeqClassifierFlags
terminateOnEvalImprovementNumOfEpoch SeqClassifierFlags
terminateOnMaxItr(int) QNMinimizer
terminateOnNumericalZero(boolean) QNMinimizer
terminateOnRelativeNorm(boolean) QNMinimizer
test(PairwiseModel, String, boolean) PairwiseModelTrainer
test(T) SequenceMatchRules.AnnotationExtractRule
test(MatchedExpression) SequenceMatchRules.AnnotationMatchedFilter
test(Tree) FilterConfusingRules
test(IndexedWord) IndexedWordUnaryPred
test(IndexedWord, SemanticGraph) IndexedWordUnaryPred
test(Tree) BobChrisTreeNormalizer.AOverAFilter
Doesn't accept nodes that are A over A nodes (perhaps due to
empty removal or are EDITED nodes).
test(Tree) BobChrisTreeNormalizer.EmptyFilter
Doesn't accept nodes that only cover an empty.
test(Dependency<G, D, N>) Dependencies.DependentPuncTagRejectFilter
test(Dependency<G, D, N>) Dependencies.DependentPuncWordRejectFilter
test(Tree) ArabicTreeNormalizer.ArabicEmptyFilter
test(Tree) FrenchTreeNormalizer.FrenchAOverAFilter
Doesn't accept nodes that are A over A nodes (perhaps due to
empty removal or are EDITED nodes).
test(Tree) HebrewTreeNormalizer.HebrewEmptyFilter
test(Tree) LengthTreeFilter
test(Tree) TreeFilters.HasMatchingChild
test(String) ArrayStringFilter
test(T) Filters.ConjFilter
test(T) Filters.DisjFilter
test(E) Filters.RandomFilter
test(String) RegexStringFilter
TEST_FILE KBPEnsembleExtractor
TEST_FILE KBPSemgrexExtractor
TEST_FILE KBPStatisticalExtractor
TEST_FILE KBPTokensregexExtractor
testBatchSize StochasticDiffFunctionTester
testClassifier(String) ColumnDataClassifier
Test and evaluate classifier on examples available in a file (or URL, classpath resource, etc.)
TestClassifier edu.stanford.nlp.tagger.maxent
Tags data and can handle either data with gold-standard tags (computing
performance statistics) or unlabeled data.
TestClassifier(MaxentTagger) TestClassifier
TestClassifier(MaxentTagger, String) TestClassifier
testConditionNumber(int) StochasticDiffFunctionTester
testCoNLL(String, String) DependencyParser
Run the parser in the modelFile on a testFile and perhaps save output.
testConvergence(TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) SplittingGrammarExtractor
testDerivatives(double[], double) StochasticDiffFunctionTester
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the
full gradient.
testDirs SeqClassifierFlags
testEventsUsingPredictedEntities MachineReadingProperties
testFile SeqClassifierFlags
testFileCH SeqClassifierFlags
testFileEN SeqClassifierFlags
testFiles SeqClassifierFlags
testGraphPaths(TransducerGraph, TransducerGraph, int) TransducerGraph
testHessSamples SeqClassifierFlags
testingThreads TestOptions
Number of threads to use at test time.
testMemoryTreebank() AbstractTreebankParserParams
You can often return the same thing for testMemoryTreebank as
for memoryTreebank
testMemoryTreebank() EnglishTreebankParserParams
returns a MemoryTreebank appropriate to the testing treebank source
testMemoryTreebank() TreebankLangParserParams
returns a MemoryTreebank appropriate to the testing treebank source
testObjFunction SeqClassifierFlags
testOnTreebank(Treebank) EvaluateTreebank
Test the parser on a treebank.
testOptions BaseLexicon
testOptions Options
Note that the TestOptions is transient.
TestOptions edu.stanford.nlp.parser.lexparser
Options to the parser which affect performance only at testing (parsing)
time.
TestOptions() TestOptions
testOptions RNNOptions
testPath MachineReadingProperties
testRelationsUsingPredictedEntities MachineReadingProperties
TestSentence edu.stanford.nlp.tagger.maxent
TestSentence(MaxentTagger) TestSentence
TestSequenceModel edu.stanford.nlp.ie.crf
For sequence model inference at test-time.
TestSequenceModel(CRFCliqueTree<? extends CharSequence>) TestSequenceModel
TestSequenceModel(CRFCliqueTree<? extends CharSequence>, LabelDictionary, List<? extends CoreMap>) TestSequenceModel
testSumOfBatches(double[], double) StochasticDiffFunctionTester
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the
full gradient.
TestTagProjection edu.stanford.nlp.parser.lexparser
TestTagProjection() TestTagProjection
testVariance(double[]) StochasticDiffFunctionTester
testVariance SeqClassifierFlags
text MatchedExpression
Text representing the matched expression
text SequenceMatchResult.MatchedGroupInfo
text() CoreDocument
return the full text of the doc
text() CoreEntityMention
full text of the mention
text() CoreQuote
full text of the mention
text() CoreSentence
full text of the sentence
text Sieve.MentionData
text() Document
text() Sentence
text() Timex
text XMLUtils.XMLTag
Stores the complete string passed in as the tag on construction.
TEXT_ATTR_EQUAL_CHECKER CoreMapNodePattern
TEXT_FIELD_NUMBER CoreNLPProtos.Document
TEXT_FIELD_NUMBER CoreNLPProtos.Quote
TEXT_FIELD_NUMBER CoreNLPProtos.Sentence
TEXT_FIELD_NUMBER CoreNLPProtos.Timex
TEXT_PATTERN_EXTRACT_RULE_CREATOR SequenceMatchRules
TEXT_PATTERN_RULE_TYPE SequenceMatchRules
TEXT_SERIALIZATION_DELIMITER LinearClassifier
TextAnnotation() CoreAnnotations.TextAnnotation
TextAnnotationCreator edu.stanford.nlp.pipeline
Creates an annotation from text
TextAnnotationCreator() TextAnnotationCreator
textEquals(EntityMention) EntityMention
Compares the text spans of the two entity mentions.
textFile SeqClassifierFlags
textFiles SeqClassifierFlags
TextOutputter edu.stanford.nlp.pipeline
TextOutputter() TextOutputter
TextPatternExtractRuleCreator() SequenceMatchRules.TextPatternExtractRuleCreator
TextTaggedFileReader edu.stanford.nlp.tagger.io
TextTaggedFileReader(TaggedFileRecord) TextTaggedFileReader
textToAnnotatedXml(AnnotationPipeline, String, String) SUTimeMain
textToAnnotation(AnnotationPipeline, String, String) SUTimeMain
textToBeTransformed TransformXML.SAXInterface
textualSummary() Treebank
Return various statistics about the treebank (number of sentences,
words, tag set, etc.).
textualSummary(TreebankLanguagePack) Treebank
Return various statistics about the treebank (number of sentences,
words, tag set, etc.).
tf ATBArabicDataset.ArabicRawTreeNormalizer
tf AbstractTreebankParserParams.RemoveGFSubcategoryStripper
tf AbstractTreebankParserParams.SubcategoryStripper
tf ArabicTreebankParserParams.ArabicSubcategoryStripper
tf BiLexPCFGParser
tf EnglishTreebankParserParams.EnglishSubcategoryStripper
tf ExhaustivePCFGParser
tf NegraPennCollinizer
tf ChineseCollinizer
tfLogScale(C, double) Counters
Returns a new Counter which is the input counter with log tf scaling
third Quadruple
third() Quadruple
third Triple
third() Triple
thirdKeySet() ThreeDimensionalMap
thirdPersonPronouns Dictionaries
thirdPersonPronouns Dictionaries
thirdPersonPronounsEn WordLists
thirdPersonPronounsZh WordLists
thisBatch AbstractStochasticCachingDiffFunction
thisFunc StochasticDiffFunctionTester
thread Redwood.Record
thread(String, Iterable<Runnable>) Redwood.Util
Wrap a collection of threads (Runnables) to be logged by Redwood.
thread(Iterable<Runnable>) Redwood.Util
threadAndRun(String, Iterable<Runnable>, int) Redwood.Util
Thread a collection of Runnables, and run them via a java Executor.
threadAndRun(String, Iterable<Runnable>) Redwood.Util
threadAndRun(Iterable<Runnable>, int) Redwood.Util
threadAndRun(Iterable<Runnable>) Redwood.Util
threads LogConditionalObjectiveFunction
Multithreading gradient calculations is a bit cheaper if you reuse the threads.
threads ArgumentParser
threadSafeAddRelation(GrammaticalRelation) UniversalEnglishGrammaticalRelations
This method is meant to be called when you want to add a relation
to the values list in a thread-safe manner.
ThreadsafeProcessor I ,O > - Interface in edu.stanford.nlp.util.concurrent
Objects that wish to use MulticoreWrapper for multicore support must implement
this interface.
THREE_CLASSES TrueCasingForNISTDocumentReaderAndWriter
THREE_CLASSES_PROPERTY TrueCasingForNISTDocumentReaderAndWriter
ThreeDimensionalMap K1 ,K2 ,K3 ,V > - Class in edu.stanford.nlp.util
ThreeDimensionalMap() ThreeDimensionalMap
thresholdNumPatternsApplied ConstantsAndVariables
thresholdSelectPattern ConstantsAndVariables
Threshold for learning a pattern
thresholdWordExtract ConstantsAndVariables
thresMerge RFSieve
the probability threshold for merging two mentions
throwableToStackTrace(Throwable) IOUtils
thunk ClauseSplitterSearchProblem.State
THURSDAY SUTime
tick(String) ExhaustivePCFGParser
tick() Timing
Restart (static) timer.
tick(String, PrintStream) Timing
Print elapsed time and restart (static) timer.
tick(String) Timing
Print elapsed time to System.err and restart (static) timer.
tid() Timex
TID_FIELD_NUMBER CoreNLPProtos.Timex
tieOutputLayer SeqClassifierFlags
TIME RobustTokenizer
TIME AnnotationPipeline
Time() SUTime.Time
Time(SUTime.Time) SUTime.Time
TIME ChineseGrammaticalRelations
The "temporal clause" grammatical relation.
TIME_FUTURE SUTime
TIME_NONE SUTime
TIME_NONE_OK SUTime
TIME_NOW SUTime
TIME_PAST SUTime
TIME_PATTERN1 ChineseNumberSequenceClassifier
TIME_POSTPOSITION ChineseGrammaticalRelations
The "localizer object" grammatical relation.
TIME_PRESENT SUTime
TIME_REF SUTime
TIME_REF_UNKNOWN SUTime
TIME_TAG ChineseNumberSequenceClassifier
TIME_UNKNOWN SUTime
TIME_WORDS ChineseNumberSequenceClassifier
TIME_WORDS_VALUES ChineseNumberSequenceClassifier
TimeAnnotations edu.stanford.nlp.time
Set of common annotations for
CoreMaps
that require classes from the time package.
TimeAnnotations() TimeAnnotations
TimeAnnotations.TimexAnnotation edu.stanford.nlp.time
The CoreMap key for storing a Timex annotation
TimeAnnotations.TimexAnnotations edu.stanford.nlp.time
The CoreMap key for storing all Timex annotations in a document.
TimeAnnotator edu.stanford.nlp.time
Annotate temporal expressions in text with
SUTime.
TimeAnnotator() TimeAnnotator
TimeAnnotator(boolean) TimeAnnotator
TimeAnnotator(String, Properties) TimeAnnotator
TimeAnnotator(String, Properties, boolean) TimeAnnotator
TIMED CRFLogConditionalObjectiveFunction
TimeExpression edu.stanford.nlp.time
Time Expression.
TimeExpression(MatchedExpression) TimeExpression
TimeExpression(Interval<Integer>, Interval<Integer>, Function<CoreMap, SUTime.Temporal>, double, double) TimeExpression
TimeExpression.Annotation edu.stanford.nlp.time
The CoreMap key for storing a TimeExpression annotation.
TimeExpression.ChildrenAnnotation edu.stanford.nlp.time
The CoreMap key for storing a nested annotations.
TimeExpression.TimeIndexAnnotation edu.stanford.nlp.time
The CoreMap key for storing a SUTime.TimeIndex (for looking up Timex Id).
TimeExpressionConverter TimeExpression
TimeExpressionExtractor edu.stanford.nlp.time
A TimeExpressionExtractor extracts a list of time expressions from a document annotation.
TimeExpressionExtractorFactory edu.stanford.nlp.time
Factory for creating TimeExpressionExtractor.
TimeExpressionExtractorFactory() TimeExpressionExtractorFactory
TimeExpressionExtractorFactory(String) TimeExpressionExtractorFactory
TimeExpressionExtractorImpl edu.stanford.nlp.time
Extracts time expressions.
TimeExpressionExtractorImpl() TimeExpressionExtractorImpl
TimeExpressionExtractorImpl(String, Properties) TimeExpressionExtractorImpl
TimeExpressionPatterns edu.stanford.nlp.time
Interface for rules/patterns for transforming
time related natural language expressions
into temporal representations.
TimeFormatter edu.stanford.nlp.time
Time specific patterns and formatting
TimeFormatter.CustomDateFormatExtractor edu.stanford.nlp.time
Converts time string pattern to text pattern.
TimeFormatter.JavaDateFormatExtractor edu.stanford.nlp.time
TimeFormatter.JodaDateTimeFormatExtractor edu.stanford.nlp.time
TimeIndex() SUTime.TimeIndex
TimeIndexAnnotation() TimeExpression.TimeIndexAnnotation
timeLabel SUTime.Temporal
timeoutMilliseconds StanfordCoreNLPServer
timesstamp Redwood.Record
TimeWithRange(SUTime.TimeWithRange, SUTime.Range) SUTime.TimeWithRange
TimeWithRange(SUTime.Range) SUTime.TimeWithRange
timeWordLotRegex EnglishPatterns
timeWordRegex EnglishPatterns
Timex edu.stanford.nlp.time
Stores one TIMEX3 expression.
Timex() Timex
Timex(Element) Timex
Timex(String) Timex
Timex(String, String) Timex
Timex(String, String, String, String, String, int, int) Timex
Timex.Range edu.stanford.nlp.time
TIMEX_FIELD_NUMBER CoreNLPProtos.NERMention
TimexAnnotation() TimeAnnotations.TimexAnnotation
TimexAnnotations() TimeAnnotations.TimexAnnotations
timexDateValue(ReadableDateTime, ReadableDateTime) JodaTimeUtils
timexDateValue(ReadableDateTime, ReadableDateTime, JodaTimeUtils.ConversionOptions) JodaTimeUtils
Return the TIMEX string for the range of dates given.
timexDurationValue(ReadablePeriod, JodaTimeUtils.ConversionOptions) JodaTimeUtils
Return the TIMEX string for the duration represented by the given period; approximately if
approximate is set to true.
timexDurationValue(ReadablePeriod) JodaTimeUtils
timexDurationValue(ReadableDateTime, ReadableDateTime) JodaTimeUtils
Return the TIMEX string for the difference between two dates
TODO not really sure if this works...
timexTimeValue(ReadableDateTime) JodaTimeUtils
Return the TIMEX string for the time given
timexType() Timex
TIMEXVALUE_FIELD_NUMBER CoreNLPProtos.Token
timexVersion SUTime
Timing edu.stanford.nlp.util
A class for measuring how long things take.
Timing() Timing
Constructs new Timing object and starts the timer.
timingInformation() AnnotationPipeline
Return a String that gives detailed human-readable information about
how much time was spent by each annotator and by the entire annotation
pipeline.
timingInformation() StanfordCoreNLP
Return a String that gives detailed human-readable information about
how much time was spent by each annotator and by the entire annotation
pipeline.
timitDatum SeqClassifierFlags
title BasicDocument
title of this document (never null).
title() BasicDocument
Returns the title of this document.
title() Document
Returns title of document, or "" if the document has no title.
titleWords Dictionaries
titleWordsZh WordLists
tlp ATBArabicDataset.ArabicRawTreeNormalizer
tlp AbstractDependencyGrammar
tlp AbstractTreebankParserParams
tlp ExhaustivePCFGParser
tlp Config
Describes language-specific properties necessary for training and
testing.
tlp AbstractCollinsHeadFinder
tlp BobChrisTreeNormalizer
tlp DependencyTreeTransformer
tlp GrammaticalFunctionTreeNormalizer
tlp NegraPennTreeNormalizer
tlp TueBaDZPennTreeNormalizer
tlpParams MLEDependencyGrammarExtractor
tlpParams Options
The treebank-specific parser parameters to use.
tlPPClassName GrammaticalStructureConversionUtils.ConverterOptions
to1D(double[][]) AdaptedGaussianPriorObjectiveFunction
to1D(float[][]) CRFLogConditionalObjectiveFloatFunction
to1D(double[][], double[]) CRFLogConditionalObjectiveFunction
to1D(double[][], int) CRFLogConditionalObjectiveFunction
to1D(double[][]) CRFLogConditionalObjectiveFunction
to2D(double[]) BiasedLogConditionalObjectiveFunction
to2D(double[]) GeneralizedExpectationObjectiveFunction
to2D(double[]) LogConditionalObjectiveFunction
to2D(double[], List<Index<CRFLabel>>, int[]) CRFClassifier
to2D(float[]) CRFLogConditionalObjectiveFloatFunction
to2D(double[], List<Index<CRFLabel>>, int[]) CRFLogConditionalObjectiveFunction
Takes a double array of weights and creates a 2D array where:
the first element is the mapped index of the clique size (e.g., node-0, edge-1) matching featuresIndex i
the second element is the number of output classes for that clique size
to2D(double[]) CRFLogConditionalObjectiveFunction
to2D(double[], List<Index<CRFLabel>>, int[], double[][]) CRFLogConditionalObjectiveFunction
to2D(double[], double[][]) CRFLogConditionalObjectiveFunction
to2D(double[], double) CRFLogConditionalObjectiveFunction
Beware: this changes the input weights array in place.
to2D(double[], double, double[][]) CRFLogConditionalObjectiveFunction
Beware: this changes the input weights array in place.
to2D(double[], List<Index<CRFLabel>>, int[]) CRFLogConditionalObjectiveFunctionForLOP
to2D(double[]) CRFNonLinearLogConditionalObjectiveFunction
to2D(double[], int) ArrayUtils
to2D(double[], int, int) ArrayUtils
to3D(double[]) LogConditionalEqConstraintFunction
TO_INTERVAL SequenceMatchResult
toAllWeightsString() LinearClassifier
toArray(int) FactorTable
toArray(List<Integer>) EntityCachingAbstractSequencePriorBIO
toArray() PhraseTable.PhraseStringCollection
toArray(T[]) PhraseTable.PhraseStringCollection
toArray() ObjectBank
toArray(T[]) ObjectBank
Can be slow.
toArray() InputPanel.HistoryEntry
Returns an array with pattern as the first entry, numTreesMatched as the second, and numMatches as the third
toArray() MaxSizeConcurrentHashSet
toArray(T[]) MaxSizeConcurrentHashSet
toAscii(String) StringUtils
toBasicSequenceMatchResult() BasicSequenceMatchResult
toBasicSequenceMatchResult() SequenceMatcher
Returns a copy of the current match results.
toBasicSequenceMatchResult() SequenceMatchResult
toBiggestValuesFirstString(Counter<E>) Counters
toBiggestValuesFirstString(Counter<E>, int) Counters
toBiggestValuesFirstString(Counter<Integer>, int, Index<T>) Counters
toBiggestWeightFeaturesString(boolean, int, boolean) LinearClassifier
Return a String that prints features with large weights.
toBinaryString(byte[]) ArrayMath
toBoolean(boolean) Trilean
Convert this Trilean to a boolean, with a specified default value if the truth value is unknown.
toBooleanOrNull() Trilean
Convert this Trilean to a Boolean, or null if the value is not known.
toBuilder() CoreNLPProtos.CorefChain.CorefMention
toBuilder() CoreNLPProtos.CorefChain
toBuilder() CoreNLPProtos.DependencyGraph.Edge
toBuilder() CoreNLPProtos.DependencyGraph.Node
toBuilder() CoreNLPProtos.DependencyGraph
toBuilder() CoreNLPProtos.Document
toBuilder() CoreNLPProtos.Entity
toBuilder() CoreNLPProtos.IndexedWord
toBuilder() CoreNLPProtos.MapIntString
toBuilder() CoreNLPProtos.MapStringString
toBuilder() CoreNLPProtos.Mention
toBuilder() CoreNLPProtos.NERMention
toBuilder() CoreNLPProtos.Operator
toBuilder() CoreNLPProtos.ParseTree
toBuilder() CoreNLPProtos.Polarity
toBuilder() CoreNLPProtos.Quote
toBuilder() CoreNLPProtos.Relation
toBuilder() CoreNLPProtos.RelationTriple
toBuilder() CoreNLPProtos.Section
toBuilder() CoreNLPProtos.Sentence
toBuilder() CoreNLPProtos.SentenceFragment
toBuilder() CoreNLPProtos.Span
toBuilder() CoreNLPProtos.SpeakerInfo
toBuilder() CoreNLPProtos.Timex
toBuilder() CoreNLPProtos.Token
toBuilder() CoreNLPProtos.TokenLocation
toCompactString() SemanticGraph
toCompactString(boolean) SemanticGraph
toComparator(Counter<E>) Counters
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
toComparator(Counter<E>, boolean, boolean) Counters
Returns a comparator suitable for sorting this Counter's keys or entries by
their respective value or magnitude (by absolute value).
toComparatorDescending(Counter<E>) Counters
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
toComparatorWithKeys(Counter<E>) Counters
Returns a comparator backed by this counter: two objects are compared by
their associated values stored in the counter.
toContinue(double[], double) SGDWithAdaGradAndFOBOS
toCopyIndex() IndexedWord
toCoreKey(String) AnnotationLookup
Returns a CoreAnnotation class key for the given string
key if one exists; null otherwise.
toCoreLabelList(String...) CoreUtilities
toCoreLabelList(List<String>) CoreUtilities
toCoreLabelList(String[], String[]) CoreUtilities
toCoreLabelList(String[], String[], String[]) CoreUtilities
toCoreLabelList(String...) SentenceUtils
Create a sentence as a List of CoreLabel objects from
an array (or varargs) of String objects.
toCoreLabelList(List<? extends HasWord>) SentenceUtils
Create a sentence as a List of CoreLabel objects from
a List of other label objects.
toCoreLabelListWithCharacterOffsets(String[], String[]) CoreUtilities
toCoreMap(List<TSVSentenceIterator.SentenceField>, List<String>) TSVSentenceIterator
toCounter(double[], Index<T>) Counters
toCounter(Map<Integer, ? extends Number>, Index<E>) Counters
Turns the given map and index into a counter instance.
toCSVString(NumberFormat) TwoDimensionalCounter
toCSVString(NumberFormat) TwoDimensionalCounterInterface
toCSVString(NumberFormat) TwoDimensionalIntCounter
toCSVString(TwoDimensionalIntCounter<CK1, CK2>, NumberFormat, Comparator<CK1>, Comparator<CK2>) TwoDimensionalIntCounter
toCSVString(String[]) StringUtils
TODAY SUTime
toDescendingMagnitudeSortedListWithCounts(Counter<E>) Counters
toDistributionString(int) LinearClassifier
Similar to histogram but exact values of the weights
to see whether there are many equal weights.
toDotFormat() SemanticGraph
Returns an unnamed dot format digraph.
toDotFormat(String) SemanticGraph
Returns a dot format digraph with the given name.
toDotFormat(String, CoreLabel.OutputFormat) SemanticGraph
toDouble(float[]) ArrayUtils
Casts to a double array
toDouble(int[]) ArrayUtils
Casts to a double array.
toDoubleArray(String[]) ArrayUtils
toEnUncollapsedSentenceString() SemanticGraph
Similar to toRecoveredString, but will fill in words that were
collapsed into relations (i.e.
toExclusive() Span
Convert an end-inclusive span to an end-exclusive span.
toExtraDepsString(HashMap<String, String>) CoNLLUUtils
Converts an extra dependencies hash map to a string to be used
in a CoNLL-U file.
toFeatureString(HashMap<String, String>) CoNLLUUtils
Converts a feature HashMap to a feature string to be used
in a CoNLL-U file.
toFlatTree(List<HasWord>) Trees
Turns a sentence into a flat phrasal tree.
toFlatTree(List<? extends HasWord>, LabelFactory) Trees
Turns a sentence into a flat phrasal tree.
toFormattedString() TrieMap
toFormattedString() SemanticGraph
Returns a String representation of this semantic graph,
formatted by the default semantic graph formatter.
toFormattedString(SemanticGraphFormatter) SemanticGraph
Returns a String representation of this semantic graph,
formatted by the supplied semantic graph formatter.
toFormattedString(int) JollyDayHolidays.JollyHoliday
toFormattedString(int) SUTime.Duration
toFormattedString(int) SUTime.DurationRange
toFormattedString(int) SUTime.ExplicitTemporalSet
toFormattedString(int) SUTime.GroundedTime
toFormattedString(int) SUTime.InexactDuration
toFormattedString(int) SUTime.InexactTime
toFormattedString(int) SUTime.OrdinalTime
toFormattedString(int) SUTime.PartialTime
toFormattedString(int) SUTime.PeriodicTemporalSet
toFormattedString(int) SUTime.Range
toFormattedString(int) SUTime.RefTime
toFormattedString(int) SUTime.RelativeTime
toFormattedString(int) SUTime.SimpleTime
toFormattedString(int) SUTime.Temporal
toFormattedString(int) SUTime.TimeWithRange
toHistogramString() LinearClassifier
toInclusive() Span
Convert an end-exclusive span to an end-inclusive span.
toInterval(E, E) FuzzyInterval
toInterval(E, E, int) FuzzyInterval
toInterval(E, E) Interval
Create an interval with the specified endpoints in the specified order.
toInterval(E, E, int) Interval
Create an interval with the specified endpoints in the specified order,
using the specified flags.
toISOString() JollyDayHolidays.JollyHoliday
toISOString() SUTime.Temporal
token TokenSequenceParser
Current token.
token SurfacePattern
Token edu.stanford.nlp.patterns.surface
Currently can handle only ORs.
Token(PatternFactory.PatternType) Token
Token(Class, String, PatternFactory.PatternType) Token
Token edu.stanford.nlp.simple
A utility class for representing a token in the Simple API.
Token(Sentence, int) Token
Create a wrapper for a token, given a sentence and an index in the sentence
Token.ClassComparator edu.stanford.nlp.patterns.surface
TOKEN_FIELD_NUMBER CoreNLPProtos.Sentence
TOKEN_PATTERN_EXTRACT_RULE_CREATOR SequenceMatchRules
TOKEN_PATTERN_RULE_TYPE SequenceMatchRules
token_source TokenSequenceParser
Generated Token Manager.
TOKEN_STRING_SPLIT_FUNCTION ValueFunctions
TOKENBEGIN_FIELD_NUMBER CoreNLPProtos.Quote
TokenBeginAnnotation() CoreAnnotations.TokenBeginAnnotation
TOKENBEGININDEX_FIELD_NUMBER CoreNLPProtos.Token
TOKENEND_FIELD_NUMBER CoreNLPProtos.Quote
TokenEndAnnotation() CoreAnnotations.TokenEndAnnotation
TOKENENDINDEX_FIELD_NUMBER CoreNLPProtos.Token
TOKENENDINSENTENCEEXCLUSIVE_FIELD_NUMBER CoreNLPProtos.NERMention
tokenFactory SeqClassifierFlags
tokenFactoryArgs SeqClassifierFlags
tokenImage ParseException
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
tokenImage ParseException
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
tokenImage ParseException
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
tokenImage ParseException
This is a reference to the "tokenImage" array of the generated
parser within which the parse error occurred.
TOKENINDEX_FIELD_NUMBER CoreNLPProtos.IndexedWord
TOKENINDEX_FIELD_NUMBER CoreNLPProtos.SentenceFragment
TOKENINDEX_FIELD_NUMBER CoreNLPProtos.TokenLocation
tokenize(String) SimpleTokenize
Basic string tokenization, skipping over white spaces
tokenize(String, String) SimpleTokenize
Basic string tokenization, skipping over white spaces
tokenize(String) ParserGrammar
Tokenize the text using the parser's tokenizer
tokenize(Iterator<String>, String, boolean, boolean, String, boolean, String, boolean, int, File, Map<String, DataInstance>, int, PatternFactory.PatternType) GetPatternsFromDataMultiClass
tokenize() AbstractTokenizer
Returns text as a List of tokens.
tokenize() Tokenizer
Returns all tokens of this Tokenizer as a List for convenience.
TOKENIZE TaggerConfig
tokenizeAndSegmentSentences(String) AceSentenceSegmenter
TOKENIZED_CHINESE ParserPanel
tokenizer PhraseTable
tokenizer(Properties) AnnotatorImplementations
Tokenize, emulating the Penn Treebank
Tokenizer T > - Interface in edu.stanford.nlp.process
Tokenizers break up text into individual Objects.
TOKENIZER_FACTORY TaggerConfig
TOKENIZER_OPTIONS TaggerConfig
TokenizerAdapter edu.stanford.nlp.process
This class adapts between a java.io.StreamTokenizer
and a edu.stanford.nlp.process.Tokenizer.
TokenizerAdapter(StreamTokenizer) TokenizerAdapter
Create a new TokenizerAdaptor.
TokenizerAnnotator edu.stanford.nlp.pipeline
This class will PTB tokenize the input.
TokenizerAnnotator() TokenizerAnnotator
Gives a non-verbose, English tokenizer.
TokenizerAnnotator(Properties) TokenizerAnnotator
TokenizerAnnotator(boolean) TokenizerAnnotator
TokenizerAnnotator(String) TokenizerAnnotator
TokenizerAnnotator(boolean, TokenizerAnnotator.TokenizerType) TokenizerAnnotator
TokenizerAnnotator(boolean, String) TokenizerAnnotator
TokenizerAnnotator(boolean, String, String) TokenizerAnnotator
TokenizerAnnotator(boolean, Properties) TokenizerAnnotator
TokenizerAnnotator(boolean, Properties, String) TokenizerAnnotator
TokenizerAnnotator.TokenizerType edu.stanford.nlp.pipeline
Enum to identify the different TokenizerTypes.
tokenizerFactory BasicDocument
tokenizerFactory() BasicDocument
tokenizerFactory DocumentReader
Tokenizer used to chop up document text into words.
TokenizerFactory T > - Interface in edu.stanford.nlp.process
A TokenizerFactory is a factory that can build a Tokenizer (an extension of Iterator)
from a java.io.Reader.
tokenizerFactory SeqClassifierFlags
tokenizerOptions SeqClassifierFlags
tokenizeText() RobustTokenizer
Tokenizes and adds blank spaces were needed between each token
tokenizeText(Reader) MaxentTagger
Reads data from r, tokenizes it with the default (Penn Treebank)
tokenizer, and returns a List of Sentence objects, which can
then be fed into tagSentence.
tokenizeText(Reader, TokenizerFactory<? extends HasWord>) MaxentTagger
Reads data from r, tokenizes it with the given tokenizer, and
returns a List of Lists of (extends) HasWord objects, which can then be
fed into tagSentence.
tokenizeToWords() RobustTokenizer
Smart tokenization storing the output in an array of CoreLabel
Sets the following fields:
- TextAnnotation - the text of the token
- TokenBeginAnnotation - the byte offset of the token (start)
- TokenEndAnnotation - the byte offset of the token (end)
tokenizeToWordTokens() RobustTokenizer
Tokenizes a natural language string
tokenizeWithQuotes(String) SimpleTokenize
String tokenization, considering everything within quotes as 1 token
Regular quotes inside tokens MUST be preceded by \
TokenList(List<CoreLabel>) PhraseTable.TokenList
TokenList(List<? extends CoreMap>, Class) PhraseTable.TokenList
TOKENOFFSETBEGIN_FIELD_NUMBER CoreNLPProtos.Sentence
TOKENOFFSETEND_FIELD_NUMBER CoreNLPProtos.Sentence
tokenOffsets MatchedExpression
Token offsets (relative to original text tokenization)
TokenPatternExtractRuleCreator() SequenceMatchRules.TokenPatternExtractRuleCreator
tokenRangeToString(Pair<Integer, Integer>) Sieve
tokenRangeToString(int) Sieve
tokens() CoreDocument
return the full token list for this doc
tokens() CoreEntityMention
the list of tokens for this entity mention
tokens() CoreSentence
list of tokens
tokens() Sentence
The tokens in this sentence.
TOKENS_MATCH_FUNCTION ValueFunctions
TOKENS_REPLACE_FUNCTION ValueFunctions
tokensAggregator MatchedExpression.SingleAnnotationExtractor
tokensAndNELabelsToString(CoreMap) AnnotationUtils
TokensAnnotation() CoreAnnotations.TokensAnnotation
tokensAnnotationClassName SeqClassifierFlags
tokensAnnotationField MatchedExpression.SingleAnnotationExtractor
tokensAnnotationField SequenceMatchRules.AnnotationExtractRule
tokensCorrect MultiClassPrecisionRecallExtendedStats
tokensCount MultiClassPrecisionRecallExtendedStats
TokenSequenceMatcher edu.stanford.nlp.ling.tokensregex
Token Sequence Matcher for regular expressions over sequences of tokens.
TokenSequenceMatcher(SequencePattern<CoreMap>, List<? extends CoreMap>) TokenSequenceMatcher
TokenSequenceParseException edu.stanford.nlp.ling.tokensregex.parser
Created by sonalg on 2/5/15.
TokenSequenceParseException() TokenSequenceParseException
TokenSequenceParseException(String) TokenSequenceParseException
TokenSequenceParseException(String, Throwable) TokenSequenceParseException
TokenSequenceParser edu.stanford.nlp.ling.tokensregex.parser
TokenSequenceParser() TokenSequenceParser
TokenSequenceParser(InputStream) TokenSequenceParser
Constructor with InputStream.
TokenSequenceParser(InputStream, String) TokenSequenceParser
Constructor with InputStream and supplied encoding
TokenSequenceParser(Reader) TokenSequenceParser
Constructor.
TokenSequenceParser(TokenSequenceParserTokenManager) TokenSequenceParser
Constructor with generated Token Manager.
TokenSequencePattern edu.stanford.nlp.ling.tokensregex
Token Sequence Pattern for regular expressions over sequences of tokens (each represented as a CoreMap).
TokenSequencePattern(String, SequencePattern.PatternExpr) TokenSequencePattern
TokenSequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<CoreMap>) TokenSequencePattern
TokenSpansForIOB(List<CoreLabel>) IOBUtils
tokensregex(Properties, String) AnnotatorImplementations
Run TokensRegex -- annotate patterns found in tokens
tokensregex StanfordCoreNLPServer.FinishedRequest
TokensRegexAnnotator edu.stanford.nlp.pipeline
Uses TokensRegex patterns to annotate tokens.
TokensRegexAnnotator(String...) TokensRegexAnnotator
TokensRegexAnnotator(String, Properties) TokensRegexAnnotator
TokensRegexAnnotator(Properties) TokensRegexAnnotator
TokensRegexAnnotator.Options edu.stanford.nlp.pipeline
TokensRegexHandler(Predicate<Properties>, Consumer<StanfordCoreNLPServer.FinishedRequest>) StanfordCoreNLPServer.TokensRegexHandler
Create a new TokensRegex Handler.
tokensRegexNER(Properties, String) AnnotatorImplementations
Run RegexNER -- rule-based NER based on a deterministic mapping file
tokensRegexNER(Properties, String) ServerAnnotatorImplementations
Run RegexNER -- rule-based NER based on a deterministic mapping file
TokensRegexNERAnnotator edu.stanford.nlp.pipeline
TokensRegexNERAnnotator labels tokens with types based on a simple manual mapping from
regular expressions to the types of the entities they are meant to describe.
TokensRegexNERAnnotator(String) TokensRegexNERAnnotator
Construct a new TokensRegexAnnotator.
TokensRegexNERAnnotator(String, boolean) TokensRegexNERAnnotator
TokensRegexNERAnnotator(String, boolean, String) TokensRegexNERAnnotator
TokensRegexNERAnnotator(String, Properties) TokensRegexNERAnnotator
tokensResultAnnotationField MatchedExpression.SingleAnnotationExtractor
tokensResultAnnotationField SequenceMatchRules.AnnotationExtractRule
Annotation field(s) on individual tokens to put new annotation
TOKENSTARTINSENTENCEINCLUSIVE_FIELD_NUMBER CoreNLPProtos.NERMention
tokensToSpan(List<? extends HasIndex>) Util
Construct the spanning span of the given list of tokens.
tokensToString(List<CoreLabel>) AnnotationUtils
tokenToLocation(CoreLabel) Sieve
tolerance SeqClassifierFlags
toLexicalEntry(Index<String>, Index<String>) IntTaggedWord
toList() SemanticGraph
Returns a String representation of this graph as a list of typed
dependencies, as exemplified by the following:
toList() SUTime.PartialTime
toList(Iterable<T>) CollectionUtils
Create a list out of the items in the Iterable.
toMap() DirectedMultiGraph
Cast this multi-graph as a map from vertices, to the outgoing data along edges out of those vertices.
toMapIntStringProto(Map<Integer, String>) ProtobufAnnotationSerializer
Serialize a Map (from Integers to Strings) to a proto.
toMapStringStringProto(Map<String, String>) ProtobufAnnotationSerializer
Serialize a Map (from Strings to Strings) to a proto.
toMatrix(List<K1>, List<K2>) TwoDimensionalCounter
Given an ordering of the first (row) and second (column) keys, will produce
a double matrix.
toMatrix(List<K1>, List<K2>) TwoDimensionalCounterInterface
Given an ordering of the first (row) and second (column) keys, will produce
a double matrix.
toMatrix(List<K1>, List<K2>) TwoDimensionalIntCounter
Given an ordering of the first (row) and second (column) keys, will produce a double matrix.
toMatrixString(int) TwoDimensionalCounter
toMatrixString(int, NumberFormat) TwoDimensionalCounter
toMatrixString(int) TwoDimensionalCounterInterface
toMatrixString(int) TwoDimensionalIntCounter
toMilliSecondsString(long) Timing
Format with one decimal place elapsed milliseconds.
TOMORROW SUTime
TONIGHT SUTime
toNonLogString() FactorTable
toNormalizedWordList(String) PhraseTable
TooltipJList edu.stanford.nlp.swing
Simple list class that extends JList and adds tool tip functionality to the list.
TooltipJList() TooltipJList
TooltipJList(ListModel) TooltipJList
TooltipJList(ListModel, int) TooltipJList
toOneLineString() KBPRelationExtractor.Accuracy
A short, single line summary of the micro-precision/recall/f1.
toOneLineString() TreeGraphNode
Returns a String representation of this node and
its subtree as a one-line parenthesized list.
TOP_SUBJECT ChineseGrammaticalRelations
The "topic" grammatical relation.
topClauses(double, int) ClauseSplitterSearchProblem
Get the top few clauses from this searcher, cutting off at the given minimum
probability.
topCost() BoundedCostOrderedMap
topFeaturesToString(List<Triple<F, L, Double>>) LinearClassifier
Returns string representation of a list of top features
TopicAnnotation() CoreAnnotations.TopicAnnotation
topKey() BoundedCostOrderedMap
topKeys(Counter<E>, int) Counters
topKeysWithCounts(Counter<E>, int) Counters
topLevelKeySet() GeneralizedCounter
Returns the set of elements that occur in the 0th position of a
List key in the GeneralizedCounter.
TopMatchEval edu.stanford.nlp.parser.metrics
Measures accuracy by only considering the very top of the parse tree, eg where S, SINV, etc go
TopMatchEval(String, boolean) TopMatchEval
TopNGramRecord edu.stanford.nlp.neural.rnn
This class stores the best K ngrams for each class for a model.
TopNGramRecord(int, int, int) TopNGramRecord
topologicalSort() DirectedMultiGraph
Topological sort of the graph.
topologicalSort() SemanticGraph
toPOSList() SemanticGraph
Similar to toList(), but uses POS tags instead of word and index.
toPrettyString() GrammaticalRelation
Returns a String representation of this
GrammaticalRelation and the hierarchy below
it, with one node per line, indented according to level.
toPrettyString(int) TreeGraphNode
Returns a String representation of this node and
its subtree with one node per line, indented according to
indentLevel.
toPrimes() IndexedWord
toPrimitive(Long[]) ArrayUtils
toPrimitive(Integer[]) ArrayUtils
toPrimitive(Short[]) ArrayUtils
toPrimitive(Character[]) ArrayUtils
toPrimitive(Double[]) ArrayUtils
toPrimitive(Long[], long) ArrayUtils
toPrimitive(Integer[], int) ArrayUtils
toPrimitive(Short[], short) ArrayUtils
toPrimitive(Character[], char) ArrayUtils
toPrimitive(Double[], double) ArrayUtils
toPriorityQueue(Counter<E>) Counters
Returns a
PriorityQueue whose elements are
the keys of Counter c, and the score of each key in c becomes its priority.
toProbString() FactorTable
toProbString() FloatFactorTable
toProto(CoreLabel) ProtobufAnnotationSerializer
Create a CoreLabel proto from a CoreLabel instance.
toProto(CoreMap) ProtobufAnnotationSerializer
Create a Sentence proto from a CoreMap instance.
toProto(Annotation) ProtobufAnnotationSerializer
Create a Document proto from a CoreMap instance.
toProto(Tree) ProtobufAnnotationSerializer
Create a ParseTree proto from a Tree.
toProto(SemanticGraph) ProtobufAnnotationSerializer
Create a compact representation of the semantic graph for this dependency parse.
toProto(CorefChain) ProtobufAnnotationSerializer
Create a CorefChain protocol buffer from the given coref chain.
toProto(Mention) ProtobufAnnotationSerializer
toProto(SpeakerInfo) ProtobufAnnotationSerializer
toProto(Timex) ProtobufAnnotationSerializer
Convert the given Timex object to a protocol buffer.
toProto(EntityMention) ProtobufAnnotationSerializer
Serialize the given entity mention to the corresponding protocol buffer.
toProto(RelationMention) ProtobufAnnotationSerializer
Serialize the given relation mention to the corresponding protocol buffer.
toProto(Language) ProtobufAnnotationSerializer
Serialize a CoreNLP Language to a Protobuf Language.
toProto(OperatorSpec) ProtobufAnnotationSerializer
Return a Protobuf operator from an OperatorSpec (Natural Logic).
toProto(Polarity) ProtobufAnnotationSerializer
Return a Protobuf polarity from a CoreNLP Polarity (Natural Logic).
toProto(SentenceFragment) ProtobufAnnotationSerializer
Return a Protobuf RelationTriple from a RelationTriple.
toProto(RelationTriple) ProtobufAnnotationSerializer
Return a Protobuf RelationTriple from a RelationTriple.
toProtoBuilder(CoreLabel, Set<Class<?>>) ProtobufAnnotationSerializer
The method to extend by subclasses of the Protobuf Annotator if custom additions are added to Tokens.
toProtoBuilder(CoreMap) ProtobufAnnotationSerializer
Create a protobuf builder, rather than a compiled protobuf.
toProtoBuilder(CoreMap, Set<Class<?>>) ProtobufAnnotationSerializer
The method to extend by subclasses of the Protobuf Annotator if custom additions are added to Tokens.
toProtoBuilder(Annotation) ProtobufAnnotationSerializer
Create a protobuf builder, rather than a compiled protobuf.
toProtoBuilder(Annotation, Set<Class<?>>) ProtobufAnnotationSerializer
The method to extend by subclasses of the Protobuf Annotator if custom additions are added to Tokens.
toProtoMention(CoreMap) ProtobufAnnotationSerializer
Convert a mention object to a protocol buffer.
toProtoQuote(CoreMap) ProtobufAnnotationSerializer
Convert a quote object to a protocol buffer.
toProtoSection(CoreMap) ProtobufAnnotationSerializer
Create a Section CoreMap protocol buffer from the given Section CoreMap
topSpeakerInRange(Annotation) BaselineTopSpeakerSieve
topWeights() CRFClassifier
toQaSrlString(CoreMap) RelationTriple
Print in the format expected by Gabriel Stanovsky and Ido Dagan, Creating a Large Benchmark for Open
Information Extraction, EMNLP 2016.
toRankCounter(Counter<E>) Counters
Converts a counter to ranks; ranks start from 0
toRecoveredSentenceString() SemanticGraph
toRecoveredSentenceStringWithIndexMarking() SemanticGraph
toRelFlags(int, int) Interval
toReverbString(String, CoreMap) RelationTriple
Print a description of this triple, formatted like the ReVerb outputs.
toSecondsString() Timing
Returns the number of seconds passed since the timer started in the form "d.d".
toSecondsString(long) Timing
Format with one decimal place elapsed milliseconds in seconds.
toSentence(List<? extends CoreMap>) CoreUtilities
Pieces a List of CoreMaps back together using
word and setting a white space between each word
TODO: remove this (SentenceUtils.listToString does the same thing - why 2 separate classes)
toSentence(List<TSVSentenceIterator.SentenceField>, List<String>) TSVSentenceIterator
Populates the fields of a sentence
toSentenceString(ArrayList) Constituent
Print out as a string the subpart of a sentence covered
by this Constituent.
toSet(Iterable<T>) CollectionUtils
Create a set out of the items in the Iterable.
toShorterString(String...) ArrayCoreMap
Attempt to provide a briefer and more human readable String for the contents of
a CoreMap.
toShorterString(String...) CoreMap
Attempt to provide a briefer and more human readable String for the contents of
a CoreMap.
toShortString(String...) ArrayCoreMap
This gives a very short String representation of a CoreMap
by leaving it to the content to reveal what field is being printed.
toShortString(char, String...) ArrayCoreMap
This gives a very short String representation of a CoreMap
by leaving it to the content to reveal what field is being printed.
toSortedByKeysString(Counter<T>, String, String, String) Counters
Returns a string representation of a Counter, where (key, value) pairs are
sorted by key, and formatted as specified.
toSortedList(Counter<E>) Counters
A List of the keys in c, sorted from highest count to lowest.
toSortedList(Counter<E>, boolean) Counters
A List of the keys in c, sorted from highest count to lowest.
toSortedList() BinaryHeapPriorityQueue
toSortedList() FixedPrioritiesPriorityQueue
toSortedList() PriorityQueue
toSortedListKeyComparable(Counter<E>) Counters
A List of the keys in c, sorted from highest count to lowest.
toSortedListWithCounts(Counter<E>) Counters
A List of the keys in c, sorted from highest count to lowest, paired with
counts
toSortedListWithCounts(Counter<E>, Comparator<Pair<E, Double>>) Counters
A List of the keys in c, sorted by the given comparator, paired with
counts.
toSortedString(Counter<T>, int, String, String, String) Counters
Returns a string representation of a Counter, displaying the keys and their
counts in decreasing order of count.
toSortedString(Counter<T>, int, String, String) Counters
Returns a string representation of a Counter, displaying the keys and their
counts in decreasing order of count.
toString() Dataset
toString() LinearClassifier
Print out a partial representation of a linear classifier.
toString(String, int) LinearClassifier
Print out a partial representation of a linear classifier in one of
several ways.
toString() LogisticClassifier
toString() RVFDataset
toString() CorefChain.CorefMention
toString() CorefChain
toString() CorefCluster
toString() Mention
toString() SpeakerInfo
toString() CoNLLDocumentReader.CorpusStats
toString() DcorefSieveOptions
toString() MetaFeatureExtractor
toString() CoNLL2011DocumentReader.CorpusStats
toString() CorefChain.CorefMention
toString() CorefChain
toString() Mention
toString() SieveOptions
toString() SpeakerInfo
toString() DFSAState
toString() DFSATransition
toString() TransducerGraph.Arc
toString() TransducerGraph
toString() DirectedMultiGraph
toString() CRFDatum
Returns a String representation of this BasicDatum (lists features and labels).
toString(Index<E>) CRFLabel
toString() CRFLabel
toString(Index<L>) FactorTable
toString() FactorTable
toString(Index<?>) FloatFactorTable
toString() FloatFactorTable
toString() EntityCachingAbstractSequencePriorBIO
toString(int) EntityCachingAbstractSequencePriorBIO
toString(PrintStream) KBPRelationExtractor.Accuracy
toString() KBPRelationExtractor.Accuracy
toString() KBPRelationExtractor.KBPInput
toString() AceCharSeq
toString() AceDocument
toString() AceEntityMention
toString() AceEventMention
toString() AceToken
toString() RobustTokenizer.WordToken
toString() EntityMention
toString() EventMention
toString() RelationMention
toString() Span
toString() ISODateInstance
toString() SimpleQuantifiableEntity
toString() RelationTriple
Print a human-readable description of this relation triple, as a tab-separated line.
toString() LDCPosMapper
toString() MorphoFeatures
values() returns the values in the order in which they are declared.
toString() MorphoFeatureSpecification
toString() NumberRangesFileFilter
toString() StringOutputStream
toString() BasicDatum
Returns a String representation of this BasicDatum (lists features and labels).
toString() CategoryWordTag
Returns a String representation of the label.
toString(String) CategoryWordTag
Returns a String representation of the label.
toString() CoreLabel
toString(CoreLabel.OutputFormat) CoreLabel
Returns a formatted string representing this label.
toString() IndexedWord
Returns the value-tag of this label.
toString(CoreLabel.OutputFormat) IndexedWord
toString() Label
Return a String representation of the label.
toString() LabeledWord
toString(String) LabeledWord
toString() MultiTokenTag
toString() RVFDatum
Returns a String representation of this BasicDatum (lists features and
labels).
toString() StringLabel
toString() TaggedWord
toString(String) TaggedWord
toString() BasicSequenceMatchResult.MatchedGroup
toString() ComplexNodePattern.NilAnnotationPattern
toString() ComplexNodePattern.NotNilAnnotationPattern
toString() ComplexNodePattern.NumericAnnotationPattern
toString() ComplexNodePattern.SequenceRegexPattern
toString() ComplexNodePattern.StringAnnotationPattern
toString() ComplexNodePattern.StringAnnotationRegexPattern
toString() ComplexNodePattern.StringInSetAnnotationPattern
toString() ComplexNodePattern
toString() CoreMapExpressionNodePattern
toString() MatchedExpression
toString() ApproxMatch
toString() Match
toString() MultiMatch
toString() MultiCoreMapNodePattern.StringSequenceAnnotationPattern
toString() NodePattern.AnyNodePattern
toString() NodePattern.ConjNodePattern
toString() NodePattern.DisjNodePattern
toString() NodePattern.EqualsNodePattern
toString() NodePattern.NegateNodePattern
toString() PhraseTable.Phrase
toString() PhraseTable.PhraseMatch
toString() PhraseTable.StringList
toString() PhraseTable.TokenList
toString(PhraseTable.WordList) PhraseTable
toString() SequenceMatchRules.AnnotationExtractRule
toString() SequenceMatchRules.ListExtractRule
toString() SequencePattern.AndPatternExpr
toString() SequencePattern.BackRefPatternExpr
toString() SequencePattern.GroupPatternExpr
toString() SequencePattern.MultiNodePatternExpr
toString() SequencePattern.NodePatternExpr
toString() SequencePattern.OrPatternExpr
toString() SequencePattern.RepeatPatternExpr
toString() SequencePattern.SequencePatternExpr
toString() SequencePattern.SpecialNodePatternExpr
toString() SequencePattern
toString() TokenSequencePattern
Returns a String representation of the TokenSequencePattern.
toString() Expressions.FunctionCallExpression
toString() Expressions.MethodCallExpression
toString() Expressions.SimpleExpression
toString() Expressions.SimpleValue
toString() ValueFunctions.NamedValueFunction
toString() ValueLabel
Return a string representation of the label.
toString() WordLemmaTag
Return a String representation of the Label.
toString(String) WordLemmaTag
toString() WordTag
Return a String representation of the label.
toString(String) WordTag
toString(double[]) ArrayMath
toString(double[], NumberFormat) ArrayMath
toString(float[]) ArrayMath
toString(float[], NumberFormat) ArrayMath
toString(int[]) ArrayMath
toString(int[], NumberFormat) ArrayMath
toString(byte[]) ArrayMath
toString(byte[], NumberFormat) ArrayMath
toString(int[][]) ArrayMath
toString(int[][], Object[], Object[], int, int, NumberFormat, boolean) ArrayMath
toString(double[][]) ArrayMath
toString(double[][], int, Object[], Object[], NumberFormat, boolean) ArrayMath
toString(float[][]) ArrayMath
toString(float[][], int, Object[], Object[], NumberFormat, boolean) ArrayMath
toString() DoubleAD
toString() ClauseSplitter.ClauseClassifierLabel
Seriously, why would Java not have this by default?
toString() OperatorSpec toString() Polarity
toString() SentenceFragment
toString(SimpleMatrix, String) NeuralUtils
toString() TopNGramRecord
toString() SimpleTensor
toString(String) SimpleTensor
Output the tensor one slice at a time.
toString() VectorMap
toString() CmdEvaluator
toString() MemoryEvaluator
toString() ParserConstraint
toString() AbstractTreebankParserParams.AnnotatePunctuationFunction
toString() BinaryRule
toString(Index<String>) BinaryRule
toString() Edge
toString() FactoredLexiconEvent
toString() Hook
toString() HTKLatticeReader.LatticeWord
toString() IntDependency
toString(Index<String>, Index<String>) IntDependency
toString() IntTaggedWord
toString(Index<String>, Index<String>) IntTaggedWord
toString(String, Index<String>, Index<String>) IntTaggedWord
toString() Lattice
toString() LatticeEdge
toString() MLEDependencyGrammar
toString() Options.LexOptions
toString() TestOptions
toString() TrainOptions
toString() TregexPoweredTreebankParserParams.AnnotateHeadFunction
toString() TregexPoweredTreebankParserParams.SimpleStringFunction
toString() UnaryGrammar
toString() UnaryRule
toString(Index<String>) UnaryRule
toString() BinaryTransition
toString() CompoundUnaryTransition
toString() FinalizeTransition
toString() IdleTransition
toString() ShiftTransition
toString() State
toString() UnaryTransition
toString() CandidatePhrase
toString() ConstantsAndVariables.ScorePhraseMeasures
toString() DataInstanceDep
toString(List<String>) DepPattern
toString() DepPattern
toString() ExtractedPhrase
toString(List<String>) Pattern
toString(List<String>) SurfacePattern
toString(String, String, List<String>) SurfacePattern
toString() SurfacePattern
toString() Token
toString() Annotation
The basic toString() method of an Annotation simply
prints out the text over which any annotations have
been made (TextAnnotation).
toString() CoreDocument
toString() CoreEntityMention
toString() CoreQuote
toString() CoreSentence
toString() LabeledChunkIdentifier.LabelTagType
toString() StanfordCoreNLP.AnnotatorSignature
toString() Americanize
toString() SemanticGraph
Recursive depth first traversal.
toString(CoreLabel.OutputFormat) SemanticGraph
toString(SemanticGraph.OutputFormat) SemanticGraph
Returns a String representation of the result of this set of typed
dependencies in a user-specified format.
toString() SemanticGraphEdge
toString() SemanticGraphUtils.PositionedTree
toString() Alignment
toString(String) Alignment
toString() CoordinationPattern
toString(boolean) CoordinationPattern
toString() NodePattern
toString(boolean) NodePattern
toString(boolean, boolean) NodePattern
toString() SemgrexMatcher
toString() SemgrexPattern
toString(boolean) SemgrexPattern
toString() RNNOptions
toString() RNNTestOptions
toString() RNNTrainOptions
toString() SentimentModel
Dumps *all* the matrices in a mostly readable format.
toString() Clique
toString() CoNLLDocumentReaderAndWriter
toString() SeqClassifierFlags
Print the properties specified by this object.
toString() Document
toString() Sentence toString() ClassicCounter
Returns a String representation of the Counter, as formatted by
the underlying Map.
toString(Counter<E>, int) Counters
Returns a string representation which includes no more than the
maxKeysToPrint elements with largest counts.
toString(Counter<E>, NumberFormat) Counters
toString(Counter<E>, NumberFormat, String, String, String, String) Counters
Pretty print a Counter.
toString(NumberFormat) Distribution
toString() Distribution
toString() GeneralizedCounter
toString(String) GeneralizedCounter
toString() IntCounter
toString(NumberFormat, String, String, String, String) IntCounter
toString(NumberFormat) IntCounter
toString() MultiClassAccuracyStats
toString() PrecisionRecallStats
Returns a String representation of this PrecisionRecallStats, indicating the number of tp, fp, fn counts.
toString(int) PrecisionRecallStats
toString() TwoDimensionalCounter
A simple String representation of this TwoDimensionalCounter, which has the
String representation of each key pair on a separate line, followed by the
count for that pair.
toString() TwoDimensionalIntCounter
A simple String representation of this TwoDimensionalCounter, which has
the String representation of each key pair
on a separate line, followed by the count for that pair.
toString() TaggedFileRecord
toString() AmbiguityClass
toString() Extractor
toString() ExtractorDistsimConjunction
toString() Extractors
toString() ExtractorVerbalVBNZero
toString() FeatureKey
toString() History
toString() TaggerConfig
toString() TTags
toString() SUTime.IsoDate
toString() SUTime.Temporal
toString() Timex
toString() CompositeTreeTransformer
toString() Constituent
Return a string representation of a Constituent.
toString(String) Dependency
Provide different printing options via a String keyword.
toString() DependencyScoring.Score
toString() GrammaticalRelation
Returns short name (abbreviation) for this
GrammaticalRelation.
toString() GrammaticalStructure
toString() ArabicTreebankLanguagePack
toString() NegraLabel
toString() ChineseEnglishWordMap
toString() NamedDependency
toString(String) NamedDependency
Provide different printing options via a String keyword.
toString() Tree
Converts parse tree to string in Penn Treebank format.
toString() AbstractDataset
toString() ConfigParser
toString() DistributionPackage
toString() Treebank
Return the whole treebank as a series of big bracketed lists.
toString() TreeGraphNode
toString(CoreLabel.OutputFormat) TreeGraphNode
toString() DescriptionPattern
toString() FileTreeNode
toString() InputPanel.HistoryEntry
toString() TreeFromFile
toString() TregexGUI.FilterType
toString() TregexPattern
toString() AuxiliaryTree
toString() TsurgeonPattern
toString() TypedDependency
toString(CoreLabel.OutputFormat) TypedDependency
toString() UnnamedConcreteDependency
toString(String) UnnamedConcreteDependency
Provide different printing options via a String keyword.
toString() UnnamedDependency
toString(String) UnnamedDependency
Provide different printing options via a String keyword.
toString() ArrayCoreMap
Prints a full dump of a CoreMap.
toString() ArrayHeap
Prints the array entries in sorted comparator order.
toString() ArrayStringFilter
toString(int[][]) ArrayUtils
toString(double[][]) ArrayUtils
toString(boolean[][]) ArrayUtils
toString(double[], String) ArrayUtils
toString() BinaryHeapPriorityQueue
toString(int) BinaryHeapPriorityQueue
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
toString() CollectionValuedMap
toString() ConcurrentHashIndex
toString() MulticoreWrapper
Return status information about the underlying threadpool.
toString() ConfusionMatrix.Contingency
toString() ConfusionMatrix
toString() DeltaIndex
super ghetto
toString() FixedPrioritiesPriorityQueue
Returns a representation of the queue in decreasing priority order.
toString(int) FixedPrioritiesPriorityQueue
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
toString(int, String) FixedPrioritiesPriorityQueue
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
toString() HashIndex
Returns a readable version of the Index contents
toString(int) HashIndex
Returns a readable version of at least part of the Index contents.
toString() IntervalTree
toString() IntTuple
toString(Iterable<E>, String) Iterables
Returns a string representation of the contents of calling toString
on each element of the given iterable, joining the elements together
with the given glue.
toString() Redwood.Record
toString() Redwood.RecordHandlerTree
toString(Map<T, V>, String, String, String, String) Maps
Pretty print a Counter.
toString() MaxSizeConcurrentHashSet
toString() MemoryMonitor
toString() MetaClass.ClassFactory
toString() MetaClass
toString() MutableDouble
toString() MutableInteger
toString() MutableLong
toString() PaddedList
toString() Pair
toString(int) PriorityQueue
Returns a representation of the queue in decreasing priority order,
displaying at most maxKeysToPrint elements.
toString() Quadruple
toString() ScoredComparator
toString() ScoredObject
toString(List<CoreLabel>) StringUtils
Convert a list of labels into a string, by simply joining them with spaces.
toString(CoreMap) StringUtils
Convert a CoreMap representing a sentence into a string, by simply joining them with spaces.
toString() ThreeDimensionalMap
toString() Timing
toString() TreeShapedStack
toString(String) TreeShapedStack
toString() Trilean
Returns a String representation of this Trilean: either "true", "false", or "unknown".
toString() Triple
toString() TwoDimensionalCollectionValuedMap
toString() TwoDimensionalMap.Entry
toString() TwoDimensionalMap
toString() XMLUtils.XMLTag
toStringArr(int[]) AccuracyStats
toStringAttachmentScore(boolean) DependencyScoring.Score
toStringBuffer AbstractDataset
toStringBuilder(StringBuilder) Tree
Appends the printed form of a parse tree (as a bracketed String)
to a StringBuilder.
toStringBuilder(StringBuilder, Function<Label, String>) Tree
Appends the printed form of a parse tree (as a bracketed String)
to a StringBuilder.
toStringClass2KeyMapping() Token
toStringFScore(boolean, boolean) DependencyScoring.Score
toStringNoScore(Index<String>) BinaryRule
toStringNoScore(Index<String>) UnaryRule
toStringOneEntryPerLine() HashIndex
toStringOneEntryPerLine(int) HashIndex
toStringSimple() DepPattern
toStringSimple() Pattern
toStringSimple() SurfacePattern
toStringSorted(Map<K, V>, StringBuilder) Maps
Stringifies a Map in a stable fashion.
toStringSorted(Map<K, V>) Maps
Stringifies a Map in a stable fashion.
toStringToWrite() PatternToken
toStringToWrite() SurfacePattern
toStructureDebugString(Tree) Trees
Returns a String reporting what kinds of Tree and Label nodes this
Tree contains.
toSummaryStatistics() Dataset
A String that is multiple lines of text giving summary statistics.
toSummaryString() Dataset
toSummaryString() RVFDataset
toTaggedList(List<String>, List<String>) SentenceUtils
Create an ArrayList as a list of TaggedWord from two
lists of String, one for the words, and the second for
the tags.
toTaggedWord(Index<String>, Index<String>) IntTaggedWord
totalCount() ClassicCounter
Computes the total of all counts in this counter, and returns it
as a double.
totalCount() Counter
Computes the total of all counts in this counter, and returns it
as a double.
totalCount() Distribution
totalCount() GeneralizedCounter
returns the total count of objects in the GeneralizedCounter.
totalCount(Predicate<E>) IntCounter
totalCount() IntCounter
totalCount() TwoDimensionalCounter
Takes linear time.
totalCount(K1) TwoDimensionalCounter
totalCount() TwoDimensionalCounterInterface
totalCount(K1) TwoDimensionalCounterInterface
totalCount() TwoDimensionalIntCounter
Takes linear time.
totalCount(K1) TwoDimensionalIntCounter
totalCounts() TwoDimensionalIntCounter
totalDataSlice SeqClassifierFlags
totalDoubleCount() IntCounter
totalDoubleCount(Predicate<E>) IntCounter
totalFeatureSlice SeqClassifierFlags
totalIntCount() IntCounter
Returns the current total count for all objects in this Counter.
totalIntCount(Predicate<E>) IntCounter
Returns the total count for all objects in this Counter that pass the
given Filter.
totalMass() CRFCliqueTree
totalMass() FactorTable
totalMass() FloatFactorTable
totalParamSize() DVModel
totalParamSize() SentimentModel
totalSize() LinearClassifier
toTiedRankCounter(Counter<E>) Counters
Converts a counter to tied ranks; ranks start from 1
toTime(SUTime.Time) SUTime.Duration
toTime(SUTime.Time, int) SUTime.Duration
toUntaggedList(List<String>) SentenceUtils
Create an ArrayList as a list of Word from a
list of String.
toUntaggedList(String...) SentenceUtils
Create a Sentence as a list of Word objects from
an array of String objects.
toValidInterval(E, E) FuzzyInterval
toValidInterval(E, E, int) FuzzyInterval
toValidInterval(E, E) Interval
Create an interval with the specified endpoints, reordering them as needed
toValidInterval(E, E, int) Interval
Create an interval with the specified endpoints, reordering them as needed,
using the specified flags
toVerticalString(Counter<E>) Counters
toVerticalString(Counter<E>, int) Counters
toVerticalString(Counter<E>, String) Counters
toVerticalString(Counter<E>, int, String) Counters
toVerticalString(Counter<E>, int, String, boolean) Counters
Returns a
String representation of the
k keys
with the largest counts in the given
Counter, using the given
format string.
toVerticalString() BinaryHeapPriorityQueue
toVerticalString(Map<K, V>) CollectionUtils
toWordList(String...) SentenceUtils
toWordList(String) PhraseTable
toXml(String, int) AceCharSeq
toXml(int) AceCharSeq
toXml(int) AceDocument
toXml(int) AceEntity
toXml(int) AceEntityMention
toXml(int) AceMention
toXml(int) AceMentionArgument
toXml(int) AceRelation
toXml(int) AceRelationMention
toXmlElement() Timex
toXmlShort(int) AceMentionArgument
tpCount MultiClassPrecisionRecallStats
Count of true positives.
tpCount PrecisionRecallStats
Count of true positives.
tr(String, String, String) StringUtils
Swap any occurrences of any characters in the from String in the input String with
the corresponding character from the to String.
trackColor OutputHandler
The color to use for track beginning and ends
trackStack OutputHandler
Information about the current and higher level tracks
trackStyle OutputHandler
The style to use for track beginning and ends
train(GeneralDataset<L, F>) LogisticClassifier
Deprecated.
train(GeneralDataset<L, F>, double, double) LogisticClassifier
Deprecated.
train() AbstractSequenceClassifier
Train the classifier based on values in flags.
train(String) AbstractSequenceClassifier
train(String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
train(String, String, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
train(String[], DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
train(Collection<List<IN>>) AbstractSequenceClassifier
Trains a classifier from a Collection of sequences.
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) AbstractSequenceClassifier
Trains a classifier from a Collection of sequences.
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) ClassifierCombiner
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) CRFClassifier
Trains a classifier from a Collection of sequences.
train(Annotation) BasicEntityExtractor
train(Annotation) BasicRelationExtractor
Train on a list of ExtractionSentence containing labeled RelationMention objects
train(Annotation) Extractor
Trains one extractor model using the given dataset
train(Annotation) ExtractorMerger
train(Annotation, int) MachineReading
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) CMMClassifier
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) PresetSequenceClassifier
Trains a classifier from a Collection of sequences.
train(Collection<List<CoreLabel>>, DocumentReaderAndWriter<CoreLabel>) ChineseNumberSequenceClassifier
train(Collection<List<CoreLabel>>, DocumentReaderAndWriter<CoreLabel>) NumberSequenceClassifier
train(Collection<List<CoreLabel>>, DocumentReaderAndWriter<CoreLabel>) RegexNERSequenceClassifier
train(Collection<Tree>) ArabicSegmenter
train(Tree) ArabicSegmenter
train(List<TaggedWord>) ArabicSegmenter
train() ArabicSegmenter
Train a segmenter from raw text.
train(Stream<Pair<CoreMap, Collection<Pair<Span, Span>>>>, Optional<File>, Optional<File>, ClauseSplitterSearchProblem.Featurizer) ClauseSplitter
Train a clause searcher factory.
train(Stream<Pair<CoreMap, Collection<Pair<Span, Span>>>>, File, File) ClauseSplitter
train(List<Tree>, IdentityHashMap<Tree, byte[]>, Treebank, String, String) DVParser
train(Collection<Tree>) AbstractUnknownWordModelTrainer
train(Collection<Tree>, double) AbstractUnknownWordModelTrainer
train(Tree, double) AbstractUnknownWordModelTrainer
train(TaggedWord, int, double) ArabicUnknownWordModelTrainer
Trains this lexicon on the Collection of trees.
train(Collection<Tree>) BaseLexicon
Trains this lexicon on the Collection of trees.
train(Collection<Tree>, double) BaseLexicon
Trains this lexicon on the Collection of trees.
train(Tree, double) BaseLexicon
train(List<TaggedWord>, double) BaseLexicon
train(TaggedWord, int, double) BaseLexicon
train(Collection<Tree>, Collection<Tree>) BaseLexicon
train(TaggedWord, int, double) BaseUnknownWordModelTrainer
train(Collection<Tree>) ChineseCharacterBasedLexicon
Train this lexicon on the given set of trees.
train(Collection<Tree>, double) ChineseCharacterBasedLexicon
Train this lexicon on the given set of trees.
train(Tree, double) ChineseCharacterBasedLexicon
TODO: make this method do something with the weight
train(TaggedWord, int, double) ChineseCharacterBasedLexicon
train(List<TaggedWord>, double) ChineseCharacterBasedLexicon
train(Collection<Tree>, Collection<Tree>) ChineseCharacterBasedLexicon
train(Collection<Tree>) ChineseLexiconAndWordSegmenter
train(Collection<Tree>, double) ChineseLexiconAndWordSegmenter
train(Tree) ChineseLexiconAndWordSegmenter
train(Tree, double) ChineseLexiconAndWordSegmenter
train(List<TaggedWord>) ChineseLexiconAndWordSegmenter
train(List<TaggedWord>, double) ChineseLexiconAndWordSegmenter
train(TaggedWord, int, double) ChineseLexiconAndWordSegmenter
train(Collection<Tree>, Collection<Tree>) ChineseLexiconAndWordSegmenter
train(Collection<Tree>) ChineseMarkovWordSegmenter
train(Tree) ChineseMarkovWordSegmenter
train(List<TaggedWord>) ChineseMarkovWordSegmenter
train(TaggedWord, int, double) ChineseUnknownWordModelTrainer
Trains the first-character based unknown word model.
train(TaggedWord, int, double) EnglishUnknownWordModelTrainer
Trains this UWM on the Collection of trees.
train(Collection<Tree>, Collection<Tree>) FactoredLexicon
This method should populate wordIndex, tagIndex, and morphIndex.
train(TaggedWord, int, double) FrenchUnknownWordModelTrainer
Trains this lexicon on the Collection of trees.
train(Collection<Tree>) Lexicon
Trains this lexicon on the Collection of trees.
train(Collection<Tree>, double) Lexicon
train(Collection<Tree>, Collection<Tree>) Lexicon
train(Tree, double) Lexicon
train(List<TaggedWord>, double) Lexicon
Not all subclasses support this particular method.
train(TaggedWord, int, double) Lexicon
Not all subclasses support this particular method.
train(TaggedWord, int, double) SpanishUnknownWordModelTrainer
Trains this lexicon on the Collection of trees.
train(Collection<Tree>) UnknownGTTrainer
train(Collection<Tree>, double) UnknownGTTrainer
train(Tree, double) UnknownGTTrainer
train(TaggedWord, double) UnknownGTTrainer
train(Collection<Tree>) UnknownWordModelTrainer
Tallies statistics for this particular collection of trees.
train(Collection<Tree>, double) UnknownWordModelTrainer
Tallies statistics for a weighted collection of trees.
train(Tree, double) UnknownWordModelTrainer
Tallies statistics for a single tree.
train(TaggedWord, int, double) UnknownWordModelTrainer
Tallies statistics for a single word.
train(String, String, String, String, String) DependencyParser
Train a new dependency parser model.
train(String, String, String, String) DependencyParser
train(String, String, String) DependencyParser
train(String, String) DependencyParser
train(Collection<Tree>) WordSegmenter
train(Tree) WordSegmenter
train(List<TaggedWord>) WordSegmenter
train(XMLToAnnotation.Data, Properties) SupervisedSieveTraining
train(SentimentModel, String, List<Tree>, List<Tree>) SentimentTraining
TRAIN_FILE KBPStatisticalExtractor
trainClassification(PairwiseModel, boolean) PairwiseModelTrainer
trainClassifier(Collection<Datum<L, F>>) AbstractLinearClassifierFactory
trainClassifier(Reference<? extends Collection<Datum<L, F>>>) AbstractLinearClassifierFactory
trainClassifier(GeneralDataset<L, F>) AbstractLinearClassifierFactory
trainClassifier(GeneralDataset<L, F>) ClassifierFactory
trainClassifier(String) ColumnDataClassifier
trainClassifier(Iterable<Datum<L, F>>) LinearClassifierFactory
trainClassifier(GeneralDataset<L, F>, float[], LogPrior) LinearClassifierFactory
trainClassifier(GeneralDataset<L, F>) LinearClassifierFactory
trainClassifier(GeneralDataset<L, F>, double[]) LinearClassifierFactory
trainClassifier(GeneralDataset<L, F>) LogisticClassifierFactory
trainClassifier(GeneralDataset<L, F>, LogPrior, boolean) LogisticClassifierFactory
trainClassifier(GeneralDataset<L, F>, double) LogisticClassifierFactory
trainClassifier(GeneralDataset<L, F>, double, double) LogisticClassifierFactory
trainClassifier(GeneralDataset<L, F>, double, double, LogPrior) LogisticClassifierFactory
trainClassifier(GeneralDataset<L, F>, double, double, boolean) LogisticClassifierFactory
trainClassifier(GeneralDataset<L, F>, double, double, LogPrior, boolean) LogisticClassifierFactory
trainClassifier(GeneralDataset<L, F>, Set<F>) NaiveBayesClassifierFactory
The examples are assumed to be a list of RFVDatum.
trainClassifier(GeneralDataset<L, F>) NaiveBayesClassifierFactory
trainClassifier(GeneralDataset<L, F>) SVMLightClassifierFactory
trainClassifierBasic(GeneralDataset<L, F>) SVMLightClassifierFactory
trainClassifierSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) LinearClassifierFactory
IMPORTANT: dataset and biasedDataset must have same featureIndex, labelIndex
trainClassifierV(GeneralDataset<L, F>, GeneralDataset<L, F>, double, double, boolean) LinearClassifierFactory
Train a classifier with a sigma tuned on a validation set.
trainClassifierV(GeneralDataset<L, F>, double, double, boolean) LinearClassifierFactory
Train a classifier with a sigma tuned on a validation set.
trainClassifierWithInitialWeights(GeneralDataset<L, F>, double[][]) LinearClassifierFactory
trainClassifierWithInitialWeights(GeneralDataset<L, F>, LinearClassifier<L, F>) LinearClassifierFactory
trainDirs SeqClassifierFlags
trainEventsUsingPredictedEntities MachineReadingProperties
trainFile SeqClassifierFlags
trainFileList SeqClassifierFlags
trainFiles SeqClassifierFlags
A regex pattern for files, which will be evaluated within a particular directory.
trainFromTreebank(Treebank, GrammarCompactor, Options) LexicalizedParser
Construct a new LexicalizedParser.
trainFromTreebank(String, FileFilter, Options) LexicalizedParser
trainFromTreebank(Treebank, Options) LexicalizedParser
trainHierarchical SeqClassifierFlags
trainingExamples(int) PairwiseModel.Builder
trainingIterations TrainOptions
trainingMethod ShiftReduceTrainOptions
TrainingOptions() ClauseSplitterSearchProblem.TrainingOptions
trainingPath(Properties) StatisticalCorefProperties
trainingPath StatisticalCorefTrainer
trainingThreads TrainOptions
If the training algorithm allows for parallelization, how many
threads to use
trainingThreads Config
Number of threads to use during training.
trainLengthLimit TrainOptions
trainModel(String, Tagger, Random, List<Tree>, List<List<Transition>>, Treebank, int) BaseModel
Train a new model.
trainModel(String, Tagger, Random, List<Tree>, List<List<Transition>>, Treebank, int) PerceptronModel
Will train the model on the given treebank, using devTreebank as
a dev set.
trainMulticlass(GeneralDataset<String, String>) BasicRelationExtractor
trainMultinomialClassifier(GeneralDataset<String, String>, int, double) KBPStatisticalExtractor
Train a multinomial classifier off of the provided dataset.
trainOnly MachineReadingProperties
evaluation options (ignored if trainOnly is true)
trainOptions BaseLexicon
trainOptions BaseUnknownWordModel
trainOptions Options
TrainOptions edu.stanford.nlp.parser.lexparser
Non-language-specific options for training a grammar from a treebank.
TrainOptions() TrainOptions
trainOptions RNNOptions
TrainOptions.TransformMatrixType edu.stanford.nlp.parser.lexparser
trainPath MachineReadingProperties
trainRanking(PairwiseModel) PairwiseModelTrainer
trainRelationsUsingPredictedEntities MachineReadingProperties
trainSemiSup() CMMClassifier
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>, double) LinearClassifierFactory
Trains the linear classifier using Generalized Expectation criteria as described in
Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields , Mann and McCallum, ACL 2008.
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>) LinearClassifierFactory
Trains the linear classifier using Generalized Expectation criteria as described in
Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields , Mann and McCallum, ACL 2008.
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, double) LinearClassifierFactory
trainTestFoldsForCV(List<T>, int) CollectionUtils
Split a list into train, test pairs for use in k-fold crossvalidation.
trainTreeFile TrainOptions
trainUnannotated(List<TaggedWord>, double) BaseLexicon
trainUnannotated(List<TaggedWord>, double) ChineseCharacterBasedLexicon
trainUnannotated(List<TaggedWord>, double) ChineseLexiconAndWordSegmenter
trainUnannotated(List<TaggedWord>, double) Lexicon
Sometimes we might have a sentence of tagged words which we would
like to add to the lexicon, but they weren't part of a binarized,
markovized, or otherwise annotated tree.
trainUsePipelineNER MachineReadingProperties
trainWeightedData(GeneralDataset<L, F>, float[]) LogisticClassifier
Deprecated.
trainWeightedData(GeneralDataset<L, F>, float[]) LogisticClassifierFactory
trainWeights(GeneralDataset<L, F>) AbstractLinearClassifierFactory
trainWeights(GeneralDataset<L, F>) LinearClassifierFactory
trainWeights(GeneralDataset<L, F>, double[]) LinearClassifierFactory
trainWeights(GeneralDataset<L, F>, double[], boolean) LinearClassifierFactory
trainWeights(GeneralDataset<L, F>) NBLinearClassifierFactory
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) CRFClassifier
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) CRFClassifierFloat
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) CRFClassifierNonlinear
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) CRFClassifierWithLOP
trainWeightsSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) LinearClassifierFactory
trainWithExpansion(Collection<TaggedWord>) BaseLexicon
Not yet implemented.
trainWordVectors TrainOptions
Do we want a model that uses word vectors (such as the DVParser)
to train those word vectors when training the model?
TransducerGraph edu.stanford.nlp.fsm
TransducerGraph represents a deterministic finite state automaton
without epsilon transitions.
TransducerGraph() TransducerGraph
TransducerGraph(TransducerGraph) TransducerGraph
TransducerGraph(TransducerGraph, TransducerGraph.ArcProcessor) TransducerGraph
TransducerGraph(TransducerGraph, TransducerGraph.NodeProcessor) TransducerGraph
TransducerGraph(Set<TransducerGraph.Arc>, Object, Set, TransducerGraph.ArcProcessor, TransducerGraph.NodeProcessor) TransducerGraph
TransducerGraph(Set<TransducerGraph.Arc>) TransducerGraph
Uses the Arcs newArcs.
TransducerGraph.Arc NODE ,IN ,OUT > - Class in edu.stanford.nlp.fsm
An arc in a finite state transducer.
TransducerGraph.ArcProcessor edu.stanford.nlp.fsm
TransducerGraph.GraphProcessor edu.stanford.nlp.fsm
TransducerGraph.InputSplittingProcessor edu.stanford.nlp.fsm
TransducerGraph.NodeProcessor edu.stanford.nlp.fsm
TransducerGraph.NodeProcessorWrappingArcProcessor edu.stanford.nlp.fsm
TransducerGraph.NormalizingGraphProcessor edu.stanford.nlp.fsm
TransducerGraph.ObjectToSetNodeProcessor edu.stanford.nlp.fsm
TransducerGraph.OutputCombiningProcessor edu.stanford.nlp.fsm
TransducerGraph.SetToStringNodeProcessor edu.stanford.nlp.fsm
TransferActionListener() TregexGUI.TransferActionListener
transferAnnotations(CoreLabel, CoreLabel) NumberSequenceClassifier
Transfer from src to dst all annotations generated bu SUTime and NumberNormalizer
transferSigmas SeqClassifierFlags
transform(NodePattern<T1>) NodePatternTransformer
transform(MultiNodePattern<T1>) NodePatternTransformer
transform(NodePatternTransformer) SequencePattern.AndPatternExpr
transform(NodePatternTransformer) SequencePattern.BackRefPatternExpr
transform(NodePatternTransformer) SequencePattern.GroupPatternExpr
transform(NodePatternTransformer) SequencePattern.MultiNodePatternExpr
transform(NodePatternTransformer) SequencePattern.NodePatternExpr
transform(NodePatternTransformer) SequencePattern.OrPatternExpr
transform(NodePatternTransformer) SequencePattern.PatternExpr
transform(NodePatternTransformer) SequencePattern.RepeatPatternExpr
transform(NodePatternTransformer) SequencePattern.SequencePatternExpr
transform(NodePatternTransformer) SequencePattern.SpecialNodePatternExpr
transform(NodePatternTransformer<T, T2>) SequencePattern
transform(NodePatternTransformer) SequencePattern.ValuePatternExpr
transform(Counter<T1>, Function<T1, T2>) Counters
Returns the counter with keys modified according to function F.
transform(TreeTransformer) MemoryTreebank
Return a MemoryTreebank where each
Tree in the current treebank has been transformed using the
TreeTransformer.
transform(TreeTransformer) Tree
Create a transformed Tree.
transform(TreeTransformer, TreeFactory) Tree
Create a transformed Tree.
transform(TreeTransformer) Treebank
Return a Treebank (actually a TransformingTreebank) where each
Tree in the current treebank has been transformed using the
TreeTransformer.
transform(Iterable<K>, Function<? super K, ? extends V>) Iterables
Transformed view of the given iterable.
transformAsList(Collection<? extends T1>, Function<T1, ? extends T2>) CollectionUtils
Transforms the keyset of collection according to the given Function and returns a list.
transformAsSet(Collection<? extends T1>, Function<T1, ? extends T2>) CollectionUtils
Transforms the keyset of collection according to the given Function and returns a set of the keys.
transformHelper(Tree) RecursiveTreeTransformer
TransformingTreebank edu.stanford.nlp.trees
This class wraps another Treebank, and will vend trees that have been through
a TreeTransformer.
TransformingTreebank() TransformingTreebank
Create a new TransformingTreebank.
TransformingTreebank(TreeReaderFactory) TransformingTreebank
Create a new TransformingTreebank.
TransformingTreebank(Treebank, TreeTransformer) TransformingTreebank
Create a new TransformingTreebank from a base Treebank that will
transform trees with the given TreeTransformer.
transformLabel(Tree) RecursiveTreeTransformer
transformMatrixType TrainOptions
transformNonterminal(Tree) RecursiveTreeTransformer
transformNonterminalLabel(Tree) BasicCategoryTreeTransformer
transformNonterminalLabel(Tree) RecursiveTreeTransformer
transformTerminal(Tree) RecursiveTreeTransformer
transformTerminalLabel(Tree) RecursiveTreeTransformer
transformTree(Tree) ATBCorrector
transformTree(Tree) FTBCorrector
transformTree(Tree) AbstractTreebankParserParams.RemoveGFSubcategoryStripper
transformTree(Tree) AbstractTreebankParserParams.SubcategoryStripper
transformTree(Tree, Tree) AbstractTreebankParserParams
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
transformTree(Tree) ArabicTreebankParserParams.ArabicSubcategoryStripper
transformTree(Tree, Tree) ArabicTreebankParserParams
transformTree(Tree) BoundaryRemover
transformTree(Tree, Tree) ChineseTreebankParserParams
transformTree does all language-specific tree
transformations.
transformTree(Tree) CollinsPuncTransformer
transformTree(Tree) Debinarizer
transformTree(Tree) EnglishTreebankParserParams.EnglishSubcategoryStripper
transformTree(Tree, Tree) EnglishTreebankParserParams
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
transformTree(Tree, Tree) FrenchTreebankParserParams
transformTree(Tree, Tree) HebrewTreebankParserParams
transformTree(Tree) NegraPennCollinizer
transformTree(Tree, Tree) NegraPennTreebankParserParams
transformTree does all language-specific tree
transformations.
transformTree(Tree) TreeAnnotator
Do the category splitting of the tree passed in.
transformTree(Tree) TreeAnnotatorAndBinarizer
The tree t is normally expected to be a Penn-Treebank-style tree
in which the top node is an extra node that has a unary expansion.
transformTree(Tree, Tree) TreebankLangParserParams
This method does language-specific tree transformations such
as annotating particular nodes with language-relevant features.
transformTree(Tree) TreeBinarizer
Binarizes the tree according to options set up in the constructor.
transformTree(Tree) TreeCollinizer
transformTree(Tree, Tree) TregexPoweredTreebankParserParams
This method does language-specific tree transformations such as annotating particular nodes with language-relevant
features.
transformTree(Tree, Tree) TueBaDZParserParams
Annotates a tree according to options.
transformTree(Tree) CollapseUnaryTransformer
transformTree(Tree) BobChrisTreeNormalizer
transformTree(Tree) CompositeTreeTransformer
transformTree(Tree) CoordinationTransformer
Transforms t if it contains a coordination in a flat structure (CCtransform)
and transforms UCP (UCPtransform).
transformTree(Tree) DateTreeTransformer
transformTree(Tree) DependencyTreeTransformer
transformTree(Tree) ChineseCollinizer
transformTree(Tree) QPTreeTransformer
Right now (Jan 2013) we only deal with the following QP structures:
NP (QP ...) (QP (CC and/or) ...)
QP (RB IN CD|DT ...) well over, more than
QP (JJR IN CD|DT ...) fewer than
QP (IN JJS CD|DT ...) at least
QP (...
transformTree(Tree) RecursiveTreeTransformer
transformTree(Tree) SynchronizedTreeTransformer
transformTree(Tree) TreeLeafLabelTransformer
transformTree(Tree) TreeLemmatizer
transformTree(Tree) TreeTransformer
Does whatever one needs to do to a particular tree.
transformTreeHelper(Tree) Debinarizer
transformTrees(Treebank) EnglishPTBTreebankCorrector
Fix all the English Penn Treebank errors, or at least some of them (!).
transformTrees(Treebank) TreebankTransformer
transformValues() LambdaSolve
This is a specialized procedure to change the values
of parses for semantic ranking.
transformValuesInPlace(Counter<E>, DoubleUnaryOperator) Counters
transformWithValuesAdd(Counter<T1>, Function<T1, T2>) Counters
Returns the counter with keys modified according to function F.
TransformXML T > - Class in edu.stanford.nlp.process
Reads XML from an input file or stream and writes XML to an output
file or stream, while transforming text appearing inside specified
XML tags by applying a specified
Function.
TransformXML() TransformXML
transformXML(String[], Function<String, T>, File) TransformXML
Read XML from the specified file and write XML to stdout,
while transforming text appearing inside the specified XML
tags by applying the specified
Function.
transformXML(String[], Function<String, T>, File, File) TransformXML
Read XML from the specified file and write XML to specified file,
while transforming text appearing inside the specified XML tags
by applying the specified
Function.
transformXML(String[], Function<String, T>, InputStream) TransformXML
Read XML from input stream and write XML to stdout, while
transforming text appearing inside the specified XML tags by
applying the specified
Function.
transformXML(String[], Function<String, T>, InputStream, OutputStream) TransformXML
Read XML from input stream and write XML to output stream,
while transforming text appearing inside the specified XML tags
by applying the specified
Function.
transformXML(String[], Function<String, T>, InputStream, Writer) TransformXML
Read XML from input stream and write XML to output stream,
while transforming text appearing inside the specified XML tags
by applying the specified
Function.
transformXML(String[], Function<String, T>, InputStream, Writer, TransformXML.SAXInterface<T>) TransformXML
Calls the fully specified transformXML with an InputSource
constructed from in.
transformXML(String[], Function<String, T>, Reader, Writer, TransformXML.SAXInterface<T>) TransformXML
Calls the fully specified transformXML with an InputSource
constructed from in.
transformXML(String[], Function<String, T>, InputSource, Writer, TransformXML.SAXInterface<T>) TransformXML
Read XML from input source and write XML to output writer,
while transforming text appearing inside the specified XML tags
by applying the specified
Function.
TransformXML.NoEscapingSAXInterface T > - Class in edu.stanford.nlp.process
This version of the SAXInterface doesn't escape the text produced
by the function.
TransformXML.SAXInterface T > - Class in edu.stanford.nlp.process
transition(T) DFSAState
Transition edu.stanford.nlp.parser.shiftreduce
An interface which defines a transition type in the shift-reduce
parser.
transitionEdgeOnly SeqClassifierFlags
transitions() DFSAState
transitions ParsingSystem
translate(int) Span
Move a span by the given amount.
transparentNouns Dictionaries
transparentNouns Dictionaries
transparentNounsEn WordLists
transparentNounsZh WordLists
traverseAndFix(Tree, TwoDimensionalCounter<String, String>, TwoDimensionalCounter<String, String>) MWEPreprocessor
traverseAndFix(Tree, Tree, TwoDimensionalCounter<String, String>, boolean) MultiWordPreprocessor
traverseLocate(Tree[], String[], boolean) AbstractCollinsHeadFinder
Attempt to locate head daughter tree from among daughters.
treatCollectionsAsImmutable CollectionValuedMap
tree ClauseSplitterSearchProblem
The tree to search over.
tree TreeJPanel
Tree edu.stanford.nlp.trees
The abstract class Tree is used to collect all of the
tree types, and acts as a generic extensible type.
Tree() Tree
TREE_FIELD_NUMBER CoreNLPProtos.RelationTriple
TREE_FILTER TaggedFileRecord
TREE_NORMALIZER TaggedFileRecord
TREE_RANGE TaggedFileRecord
TREE_READER TaggedFileRecord
TREE_SET_FACTORY CollectionFactory
TREE_TRANSFORMER TaggedFileRecord
TreeAnnotation() TreeCoreAnnotations.TreeAnnotation
TreeAnnotator edu.stanford.nlp.parser.lexparser
Performs non-language specific annotation of Trees.
TreeAnnotator(HeadFinder, TreebankLangParserParams, Options) TreeAnnotator
TreeAnnotatorAndBinarizer edu.stanford.nlp.parser.lexparser
TreeAnnotatorAndBinarizer(TreebankLangParserParams, boolean, boolean, boolean, Options) TreeAnnotatorAndBinarizer
TreeAnnotatorAndBinarizer(HeadFinder, HeadFinder, TreebankLangParserParams, boolean, boolean, boolean, Options) TreeAnnotatorAndBinarizer
treebank() AbstractTreebankParserParams
Implemented as required by TreebankFactory.
treebank() TreebankLangParserParams
Required to extend TreebankFactory
Treebank edu.stanford.nlp.trees
A Treebank object provides access to a corpus of examples with
given tree structures.
Treebank() Treebank
Create a new Treebank (using a LabeledScoredTreeReaderFactory).
Treebank(TreeReaderFactory) Treebank
Create a new Treebank.
Treebank(TreeReaderFactory, String) Treebank
Create a new Treebank.
Treebank(int) Treebank
Create a new Treebank.
Treebank(int, TreeReaderFactory) Treebank
Create a new Treebank.
treebank AbstractDataset
treebank() TreebankFactory
Returns a treebank instance
TreebankAnnotator edu.stanford.nlp.parser.lexparser
Class for getting an annotated treebank.
TreebankAnnotator(Options, String) TreebankAnnotator
TreebankFactory edu.stanford.nlp.trees
An interface for treebank vendors.
treebankFileExtension() ArabicTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() FrenchTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() HebrewTreebankLanguagePack
treebankFileExtension() NegraPennLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() ChineseTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() SpanishTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() TueBaDZLanguagePack
treebankFileExtension() PennTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() TreebankLanguagePack
Returns the extension of treebank files for this treebank.
TreebankLangParserParams edu.stanford.nlp.parser.lexparser
Contains language-specific methods commonly necessary to get a parser
to parse an arbitrary treebank.
treebankLanguagePack() ParserGrammar
treebankLanguagePack() AbstractTreebankParserParams
Returns an appropriate treebankLanguagePack
treebankLanguagePack() EnglishTreebankParserParams
contains Treebank-specific (but not parser-specific) info such
as what is punctuation, and also information about the structure
of labels
treebankLanguagePack() LexicalizedParser
treebankLanguagePack() TreebankLangParserParams
returns a TreebankLanguagePack containing Treebank-specific (but
not parser-specific) info such as what is punctuation, and also
information about the structure of labels
treebankLanguagePack() ShiftReduceParser
TreebankLanguagePack edu.stanford.nlp.trees
This interface specifies language/treebank specific information for a
Treebank, which a parser or other treebank user might need to know.
TreebankPreprocessor edu.stanford.nlp.trees.treebank
A data preparation pipeline for treebanks.
Treebanks edu.stanford.nlp.trees
This is just a main method and other static methods for
command-line manipulation, statistics, and testing of
Treebank objects.
TreebankTransformer edu.stanford.nlp.trees
TreeBinarizer edu.stanford.nlp.parser.lexparser
Binarizes trees, typically in such a way that head-argument structure is respected.
TreeBinarizer(HeadFinder, TreebankLanguagePack, boolean, boolean, int, boolean, boolean, double, boolean, boolean, boolean) TreeBinarizer
Build a custom binarizer for Trees.
TreeCollinizer edu.stanford.nlp.parser.lexparser
Does detransformations to a parsed sentence to map it back to the
standard treebank form for output or evaluation.
TreeCollinizer(TreebankLanguagePack) TreeCollinizer
TreeCollinizer(TreebankLanguagePack, boolean, boolean) TreeCollinizer
TreeCollinizer(TreebankLanguagePack, boolean, boolean, int) TreeCollinizer
TreeCoreAnnotations edu.stanford.nlp.trees
Set of common annotations for
CoreMaps
that require classes from the trees package.
TreeCoreAnnotations.BinarizedTreeAnnotation edu.stanford.nlp.trees
The CoreMap key for getting the binarized version of the
syntactic parse tree of a sentence.
TreeCoreAnnotations.HeadTagLabelAnnotation edu.stanford.nlp.trees
The standard key for storing a head tag in the map as a pointer to
the head label.
TreeCoreAnnotations.HeadWordLabelAnnotation edu.stanford.nlp.trees
The standard key for storing a head word in the map as a pointer to
the head label.
TreeCoreAnnotations.KBestTreesAnnotation edu.stanford.nlp.trees
The standard key for storing a list of k-best parses.
TreeCoreAnnotations.TreeAnnotation edu.stanford.nlp.trees
The CoreMap key for getting the syntactic parse tree of a sentence.
treeFactory() LabeledScoredTreeNode
Return a TreeFactory that produces trees of the
same type as the current Tree.
treeFactory() SimpleTree
Return a TreeFactory that produces trees of the
SimpleTree type.
treeFactory() Tree
Return a TreeFactory that produces trees of the
appropriate type.
TreeFactory edu.stanford.nlp.trees
A TreeFactory acts as a factory for creating objects of
class Tree, or some descendant class.
treeFactory() TreeGraphNode
Returns a TreeFactory that produces
TreeGraphNodes.
treeFileExtension AbstractDataset
treeFilter CacheParseHypotheses
TreeFilters edu.stanford.nlp.trees
A location for general implementations of Filter<Tree>.
TreeFilters.HasMatchingChild edu.stanford.nlp.trees
TreeFromFile edu.stanford.nlp.trees.tregex.gui
Simple utility class for storing a tree as well as the sentence the tree represents and
a label with the filename of the file that the tree was stored in.
TreeFromFile(Tree) TreeFromFile
TreeFromFile(Tree, String) TreeFromFile
TreeFunctions edu.stanford.nlp.trees
This is a utility class which vends tree transformers to translate
trees from one factory type to trees of another.
TreeGraphNode edu.stanford.nlp.trees
A
TreeGraphNode is simply a
{@code Tree}
with some additional functionality.
TreeGraphNode(Label) TreeGraphNode
Create a new TreeGraphNode with the supplied
label.
TreeGraphNode(Label, List<Tree>) TreeGraphNode
Create a new TreeGraphNode with the supplied
label and list of child nodes.
TreeGraphNode(Tree, TreeGraphNode) TreeGraphNode
Create a new TreeGraphNode having the same tree
structure and label values as an existing tree (but no shared
storage).
TreeGraphNodeFactory edu.stanford.nlp.trees
A
TreeGraphNodeFactory acts as a factory for creating
tree nodes of type
TreeGraphNode.
TreeGraphNodeFactory() TreeGraphNodeFactory
Make a TreeFactory that produces
TreeGraphNodes.
TreeGraphNodeFactory(LabelFactory) TreeGraphNodeFactory
Make a TreeFactory that produces
TreeGraphNodes.
TreeJPanel edu.stanford.nlp.parser.ui
Class for displaying a Tree.
TreeJPanel() TreeJPanel
TreeJPanel(int, int) TreeJPanel
TreeJPanel.WidthResult edu.stanford.nlp.parser.ui
TreeLeafLabelTransformer edu.stanford.nlp.trees
Applies a Function to the labels in a tree.
TreeLeafLabelTransformer(Function<String, String>) TreeLeafLabelTransformer
TreeLemmatizer edu.stanford.nlp.trees
TreeLemmatizer() TreeLemmatizer
TreeLengthComparator edu.stanford.nlp.trees
A TreeLengthComparator orders trees by their yield sentence
lengths.
TreeLengthComparator() TreeLengthComparator
Create a new TreeLengthComparator.
treeMap() TwoDimensionalMap
treeMapFactory() MapFactory
Return a MapFactory that returns a TreeMap.
treeMapFactory(Comparator<? super K>) MapFactory
Return a MapFactory that returns a TreeMap with the given Comparator.
TreeNode() IntervalTree.TreeNode
treeNodeChanged(FileTreeNode) FileTreeModel
treeNodeChanged(FileTreeNode) FileTreeNode.FileTreeNodeListener
treeNormalizer GrammaticalStructureConversionUtils.ConverterOptions
TreeNormalizer edu.stanford.nlp.trees
A class for tree normalization.
TreeNormalizer() TreeNormalizer
treePrint(TreebankLangParserParams) TestOptions
Determines method for print trees on output.
TreePrint edu.stanford.nlp.trees
A class for customizing the print method(s) for a
edu.stanford.nlp.trees.Tree as the output of the
parser.
TreePrint(String) TreePrint
Construct a new TreePrint that will print the given formats.
TreePrint(String, TreebankLanguagePack) TreePrint
Make a TreePrint instance with no options specified.
TreePrint(String, String, TreebankLanguagePack) TreePrint
Make a TreePrint instance.
TreePrint(String, String, TreebankLanguagePack, HeadFinder, HeadFinder) TreePrint
Make a TreePrint instance.
TreeReader edu.stanford.nlp.trees
A TreeReader adds functionality to another Reader
by reading in Trees, or some descendant class.
treeReaderFactory() ArabicTreebankParserParams
treeReaderFactory() ChineseTreebankParserParams
treeReaderFactory() EnglishTreebankParserParams
Makes appropriate TreeReaderFactory with all options specified
treeReaderFactory() FrenchTreebankParserParams
treeReaderFactory() HebrewTreebankParserParams
treeReaderFactory() NegraPennTreebankParserParams
treeReaderFactory() SpanishTreebankParserParams
treeReaderFactory() TreebankLangParserParams
Returns a factory for reading in trees from the source you want.
treeReaderFactory() TueBaDZParserParams
treeReaderFactory() AbstractTreebankLanguagePack
Returns a TreeReaderFactory suitable for general purpose use
with this language/treebank.
treeReaderFactory() ArabicTreebankLanguagePack
treeReaderFactory() HebrewTreebankLanguagePack
treeReaderFactory() NegraPennLanguagePack
treeReaderFactory() ChineseTreebankLanguagePack
treeReaderFactory() TueBaDZLanguagePack
treeReaderFactory() Treebank
Get the TreeReaderFactory for a Treebank --
this method is provided in order to make the
TreeReaderFactory available to subclasses.
treeReaderFactory() TreebankLanguagePack
Returns a TreeReaderFactory suitable for general purpose use
with this language/treebank.
TreeReaderFactory edu.stanford.nlp.trees
A TreeReaderFactory is a factory for creating objects of
class TreeReader, or some descendant class.
TreeRecorder edu.stanford.nlp.parser.shiftreduce
Outputs either binarized or debinarized trees to a given filename.
TreeRecorder(TreeRecorder.Mode, String) TreeRecorder
TreeRecorder.Mode edu.stanford.nlp.parser.shiftreduce
trees RandomForest
Trees edu.stanford.nlp.trees
Various static utilities for the Tree class.
treeSet() TwoDimensionalSet
treeSetFactory() CollectionFactory
TreeSetFactory() CollectionFactory.TreeSetFactory
TreeShapedStack T > - Class in edu.stanford.nlp.util
Represents a stack where one prefix of the stack can branch in
several directions.
TreeShapedStack() TreeShapedStack
Creates an empty stack.
treeSkeletonConstituentCopy() Tree
Returns a deep copy of everything but the leaf labels.
treeSkeletonConstituentCopy(TreeFactory, LabelFactory) Tree
treeSkeletonCopy() Tree
Create a deep copy of the tree structure.
treeSkeletonCopy(TreeFactory) Tree
Create a deep copy of the tree structure.
TreeSpanScoring edu.stanford.nlp.parser.metrics
Provides a method for deciding how similar two trees are.
TreeTaggedFileReader edu.stanford.nlp.tagger.io
TreeTaggedFileReader(TaggedFileRecord) TreeTaggedFileReader
treeToDependencyHelper(Tree, List<IntDependency>, int, Index<String>, Index<String>) MLEDependencyGrammar
Adds dependencies to list depList.
treeToDependencyList(Tree, Index<String>, Index<String>) MLEDependencyGrammar
Returns the List of dependencies for a binarized Tree.
treeToEvents(Tree) BaseLexicon
treeTokenizerFactory() AbstractTreebankParserParams
treeTokenizerFactory() TreebankLangParserParams
treeTokenizerFactory() AbstractTreebankLanguagePack
Return a TokenizerFactory for Trees of this language/treebank.
treeTokenizerFactory() TreebankLanguagePack
Return a TokenizerFactory for Trees of this language/treebank.
TreeTokenizerFactory edu.stanford.nlp.trees
Wrapper for TreeReaderFactory.
TreeTokenizerFactory(TreeReaderFactory) TreeTokenizerFactory
Create a TreeTokenizerFactory from a TreeReaderFactory.
treeToLatex(Tree) Trees
treeToLatexEven(Tree) Trees
TreeTransformer edu.stanford.nlp.trees
This is a simple interface for a function that alters a
local Tree.
TreeVisitor edu.stanford.nlp.trees
This is a simple strategy-type interface for operations that are applied to
Tree.
TregexGUI edu.stanford.nlp.trees.tregex.gui
Main class for creating a tregex gui.
TregexGUI.FilterType edu.stanford.nlp.trees.tregex.gui
TregexGUI.TransferActionListener edu.stanford.nlp.trees.tregex.gui
TregexHandler(Predicate<Properties>, Consumer<StanfordCoreNLPServer.FinishedRequest>) StanfordCoreNLPServer.TregexHandler
Create a new Tregex Handler.
TregexMatcher edu.stanford.nlp.trees.tregex
TregexParseException edu.stanford.nlp.trees.tregex
A runtime exception that indicates something went wrong parsing a
tregex expression.
TregexParseException(String, Throwable) TregexParseException
TregexPattern edu.stanford.nlp.trees.tregex
A TregexPattern is a regular expression-like pattern that is designed to match node configurations within
a Tree where the nodes are labeled with symbols, rather than a character string.
TregexPattern.TRegexTreeReaderFactory edu.stanford.nlp.trees.tregex
TregexPatternCompiler edu.stanford.nlp.trees.tregex
A class for compiling TregexPatterns with specific HeadFinders and or
basicCategoryFunctions.
TregexPatternCompiler() TregexPatternCompiler
TregexPatternCompiler(Function<String, String>) TregexPatternCompiler
A compiler that uses this basicCatFunction and the default HeadFinder.
TregexPatternCompiler(HeadFinder) TregexPatternCompiler
A compiler that uses this HeadFinder and the default basicCategoryFunction
TregexPatternCompiler(HeadFinder, Function<String, String>) TregexPatternCompiler
A compiler that uses this HeadFinder and this basicCategoryFunction
TregexPoweredTreebankParserParams edu.stanford.nlp.parser.lexparser
TregexPoweredTreebankParserParams(TreebankLanguagePack) TregexPoweredTreebankParserParams
TregexPoweredTreebankParserParams.AnnotateHeadFunction edu.stanford.nlp.parser.lexparser
Annotate a tree constituent with its lexical head.
TregexPoweredTreebankParserParams.SimpleStringFunction edu.stanford.nlp.parser.lexparser
Annotates all nodes that match the tregex query with some string.
TRegexTreeReaderFactory() TregexPattern.TRegexTreeReaderFactory
TRegexTreeReaderFactory(TreeNormalizer) TregexPattern.TRegexTreeReaderFactory
TrieMap K ,V > - Class in edu.stanford.nlp.ling.tokensregex.matcher
Map that takes a iterable as key, and maps it to an value.
TrieMap() TrieMap
TrieMap(int) TrieMap
TrieMapMatcher K ,V > - Class in edu.stanford.nlp.ling.tokensregex.matcher
The TrieMapMatcher provides functions to match against a trie.
TrieMapMatcher(TrieMap<K, V>) TrieMapMatcher
TrieMapMatcher(TrieMap<K, V>, List<K>) TrieMapMatcher
triggerAllHooks(Edge) BiLexPCFGParser
TriggerAnnotation() MachineReadingAnnotations.TriggerAnnotation
triggerHooks(Edge) BiLexPCFGParser
trigramPatterns(Annotation) TrigramSieve
TrigramSieve edu.stanford.nlp.quoteattribution.Sieves.QMSieves
TrigramSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>) TrigramSieve
Trilean edu.stanford.nlp.util
A boolean, but for three-valued logics (true / false / unknown).
Trilean(boolean, boolean) Trilean
Construct a new Trilean value.
Trilean(Trilean) Trilean
The copy constructor.
trim(String, int) StringUtils
Returns s if it's at most maxWidth chars, otherwise chops right side to fit.
trim(Object, int) StringUtils
trimData() GeneralDataset
trimLabels() GeneralDataset
trimToSize(int[]) GeneralDataset
trimToSize(int[][]) GeneralDataset
trimToSize(double[][]) GeneralDataset
trimWithEllipsis(String, int) StringUtils
trimWithEllipsis(Object, int) StringUtils
Triple T1 ,T2 ,T3 > - Class in edu.stanford.nlp.util
Class representing an ordered triple of objects, possibly typed.
Triple(T1, T2, T3) Triple
tripleToString(RelationTriple, String, CoreMap) OpenIE
Prints an OpenIE triple to a String, according to the output format requested in
the annotator.
TRUE Expressions
TRUE Trilean
The static value for True
trueCase(Properties) AnnotatorImplementations
Infer the original casing of tokens
trueCase(Properties) ServerAnnotatorImplementations
Infer the original casing of tokens
TRUECASE_FIELD_NUMBER CoreNLPProtos.Token
TrueCaseAnnotation() CoreAnnotations.TrueCaseAnnotation
TrueCaseAnnotator edu.stanford.nlp.pipeline
TrueCaseAnnotator() TrueCaseAnnotator
TrueCaseAnnotator(boolean) TrueCaseAnnotator
TrueCaseAnnotator(Properties) TrueCaseAnnotator
TrueCaseAnnotator(String, String, String, boolean, boolean) TrueCaseAnnotator
TRUECASETEXT_FIELD_NUMBER CoreNLPProtos.Token
TrueCaseTextAnnotation() CoreAnnotations.TrueCaseTextAnnotation
TrueCasingForNISTDocumentReaderAndWriter edu.stanford.nlp.sequences
A DocumentReaderAndWriter for truecasing documents.
TrueCasingForNISTDocumentReaderAndWriter() TrueCasingForNISTDocumentReaderAndWriter
TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser edu.stanford.nlp.sequences
TrueTagAnnotation() CoreAnnotations.TrueTagAnnotation
truncate(int, int, int) StringUtils
This returns a string from decimal digit smallestDigit to decimal digit
biggest digit.
truthOfPremise ForwardEntailerSearchProblem
The truth of the premise -- determines the direction we can mutate the sentences.
tryEta(AbstractStochasticCachingDiffUpdateFunction, double[], int[], double) SGDMinimizer
Tsurgeon edu.stanford.nlp.trees.tregex.tsurgeon
Tsurgeon provides a way of editing trees based on a set of operations that
are applied to tree locations matching a tregex pattern.
TsurgeonMatcher edu.stanford.nlp.trees.tregex.tsurgeon
An object factored out to keep the state of a Tsurgeon
operation separate from the TsurgeonPattern objects.
TsurgeonMatcher(TsurgeonPattern, Map<String, Tree>, CoindexationGenerator) TsurgeonMatcher
TsurgeonParseException edu.stanford.nlp.trees.tregex.tsurgeon
A runtime exception that indicates something went wrong parsing a
Tsurgeon expression.
TsurgeonParseException(String) TsurgeonParseException
TsurgeonParseException(String, Throwable) TsurgeonParseException
TsurgeonParserTreeConstants edu.stanford.nlp.trees.tregex.tsurgeon
TsurgeonPattern edu.stanford.nlp.trees.tregex.tsurgeon
An abstract class for patterns to manipulate
Trees when
successfully matched on with a
TregexMatcher.
TsurgeonRuntimeException edu.stanford.nlp.trees.tregex.tsurgeon
Something has gone wrong internally in Tsurgeon
TsurgeonRuntimeException(String) TsurgeonRuntimeException
Creates a new exception with a message.
TSVSentenceIterator edu.stanford.nlp.process
Reads sentences from a TSV, provided a list of fields to populate.
TSVSentenceIterator(Iterator<List<String>>, List<TSVSentenceIterator.SentenceField>) TSVSentenceIterator
TSVSentenceIterator.SentenceField edu.stanford.nlp.process
A list of possible fields in the sentence table
TSVTaggedFileReader edu.stanford.nlp.tagger.io
TSVTaggedFileReader(TaggedFileRecord) TSVTaggedFileReader
TSVUtils edu.stanford.nlp.process
A set of utilities for parsing TSV files into CoreMaps
TTags edu.stanford.nlp.tagger.maxent
This class holds the POS tags, assigns them unique ids, and knows which tags
are open versus closed class.
TTags() TTags
TueBaDZHeadFinder edu.stanford.nlp.trees.international.tuebadz
A HeadFinder for TueBa-D/Z.
TueBaDZHeadFinder() TueBaDZHeadFinder
TueBaDZLanguagePack edu.stanford.nlp.trees.international.tuebadz
Language pack for the Tuebingen Treebank of Written German (TueBa-D/Z).
TueBaDZLanguagePack() TueBaDZLanguagePack
Gives a handle to the TreebankLanguagePack
TueBaDZLanguagePack(boolean) TueBaDZLanguagePack
Make a new language pack with grammatical functions used based on the value of leaveGF
TueBaDZLanguagePack(boolean, char) TueBaDZLanguagePack
Make a new language pack with grammatical functions used based on the value of leaveGF
and marked with the character gfChar.
TueBaDZLanguagePack(boolean, boolean, char) TueBaDZLanguagePack
Make a new language pack with grammatical functions used based on the value of leaveGF
and marked with the character gfChar.
TueBaDZParserParams edu.stanford.nlp.parser.lexparser
TreebankLangParserParams for the German Tuebingen corpus.
TueBaDZParserParams() TueBaDZParserParams
TueBaDZPennTreeNormalizer edu.stanford.nlp.trees.international.tuebadz
Tree normalizer for the TueBaDZ treebank.
TueBaDZPennTreeNormalizer(TreebankLanguagePack, int) TueBaDZPennTreeNormalizer
TueBaDZPennTreeNormalizer(TreebankLanguagePack, int, List<TreeNormalizer>) TueBaDZPennTreeNormalizer
TueBaDZTreeReaderFactory edu.stanford.nlp.trees.international.tuebadz
TueBaDZTreeReaderFactory(TreebankLanguagePack) TueBaDZTreeReaderFactory
TueBaDZTreeReaderFactory(TreebankLanguagePack, int) TueBaDZTreeReaderFactory
TUESDAY SUTime
tune(Function, double[], long, double, double) InefficientSGDMinimizer
tune(Function, double[], long) InefficientSGDMinimizer
tune(Function, double[], long) ScaledSGDMinimizer
tune(AbstractStochasticCachingDiffUpdateFunction, double[], int, double) SGDMinimizer
Finds a good learning rate to start with.
tune(Function, double[], long) SMDMinimizer
tune(Function, double[], long) SQNMinimizer
tune(Function, double[], long) StochasticMinimizer
tune(Function, double[], long, List<Integer>, List<Double>) StochasticMinimizer
tune(Collection<Tree>) AbstractDependencyGrammar
Default is no-op.
tune() BaseLexicon
TODO: this used to actually score things based on the original trees
tune(Collection<Tree>) DependencyGrammar
Tune free parameters on these trees.
tune(Collection<Tree>) MLEDependencyGrammar
Tune the smoothing and interpolation parameters of the dependency
grammar based on a tuning treebank.
tuneBatch(Function, double[], long, int) StochasticMinimizer
tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double) StochasticMinimizer
tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double, double) StochasticMinimizer
tuneFixedGain(Function, double[], long, double) ScaledSGDMinimizer
tuneGain(Function, double[], long, double, double) StochasticMinimizer
tuneSampleSize SeqClassifierFlags
tuneSGD SeqClassifierFlags
tuneThresholdKeepRunning ConstantsAndVariables
Reduce pattern threshold (=0.8*current_value) to extract as many patterns
as possible (still restricted by numPatterns)
tuningSamples SGDMinimizer
TWILIGHT SUTime
twinless Mention
TwoDimensionalCollectionValuedMap K1 ,K2 ,V > - Class in edu.stanford.nlp.util
A class which can store mappings from Object keys to
Collections of Object values.
TwoDimensionalCollectionValuedMap() TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the
underlying Map, and HashSets as the Collections in each mapping.
TwoDimensionalCollectionValuedMap(CollectionFactory<V>) TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the
underlying Map.
TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>) TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap.
TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>, boolean) TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap.
TwoDimensionalCounter K1 ,K2 > - Class in edu.stanford.nlp.stats
A class representing a mapping between pairs of typed objects and double
values.
TwoDimensionalCounter() TwoDimensionalCounter
TwoDimensionalCounter(MapFactory<K1, ClassicCounter<K2>>, MapFactory<K2, MutableDouble>) TwoDimensionalCounter
TwoDimensionalCounterInterface K1 ,K2 > - Interface in edu.stanford.nlp.stats
Interface representing a mapping between pairs of typed objects and double
values.
TwoDimensionalIntCounter K1 ,K2 > - Class in edu.stanford.nlp.stats
A class representing a mapping between pairs of typed objects and int values.
TwoDimensionalIntCounter() TwoDimensionalIntCounter
TwoDimensionalIntCounter(int) TwoDimensionalIntCounter
TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>) TwoDimensionalIntCounter
TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>, int) TwoDimensionalIntCounter
TwoDimensionalMap K1 ,K2 ,V > - Class in edu.stanford.nlp.util
TwoDimensionalMap() TwoDimensionalMap
TwoDimensionalMap(TwoDimensionalMap<K1, K2, V>) TwoDimensionalMap
TwoDimensionalMap(MapFactory<K1, Map<K2, V>>, MapFactory<K2, V>) TwoDimensionalMap
TwoDimensionalMap.Entry K1 ,K2 ,V > - Class in edu.stanford.nlp.util
This inner class represents a single entry in the TwoDimensionalMap.
TwoDimensionalSet K1 ,K2 > - Class in edu.stanford.nlp.util
Wrap a TwoDimensionalMap as a TwoDimensionalSet.
TwoDimensionalSet() TwoDimensionalSet
TwoDimensionalSet(TwoDimensionalMap<K1, K2, Boolean>) TwoDimensionalSet
twoStage SeqClassifierFlags
type ExtractionObject
Type of this mention, e.g., GPE
type Unit
TYPE Units.MoneyUnit
type Pattern
type LabeledChunkIdentifier.LabelTagType
type Sieve.MentionData
type SeqClassifierFlags
TYPE_ANNOTATION_KEY Expressions
TYPE_BOOLEAN Expressions
TYPE_CLASS Expressions
CLASS - Maps to a Java class
TYPE_COMPOSITE Expressions
COMPOSITE - Composite value with field names and field values
TYPE_FIELD_NUMBER CoreNLPProtos.Entity
TYPE_FIELD_NUMBER CoreNLPProtos.Relation
TYPE_FIELD_NUMBER CoreNLPProtos.Timex
TYPE_FUNCTION Expressions
FUNCTION - (input) => (output) where input is a list of Values, and output is a single Value
TYPE_LIST Expressions
LIST - List
TYPE_NUMBER Expressions
NUMBER - Numeric value (can be integer or real)
TYPE_REGEX Expressions
REGEX - Regular expression pattern (for tokens or string)
TYPE_REGEXMATCHVAR Expressions
REGEXMATCHVAR - Variable that refers to variable resulting from a regex match or used in a regex match (starts with $)
TYPE_SET Expressions
TYPE_STRING Expressions
STRING - String
TYPE_STRING_REGEX Expressions
TYPE_TOKEN_REGEX Expressions
TYPE_TOKENS Expressions
TYPE_VAR Expressions
VAR - Variable
TypeCheckedFunction(String, List<ValueFunctions.ParamInfo>) ValueFunctions.TypeCheckedFunction
TypeCheckedFunction(String, ValueFunctions.ParamInfo...) ValueFunctions.TypeCheckedFunction
typedDependencies() SemanticGraph
Returns a list of TypedDependency in the graph.
typedDependencies GrammaticalStructure
typedDependencies() GrammaticalStructure
Returns the typed dependencies of this grammatical structure.
typedDependencies(GrammaticalStructure.Extras) GrammaticalStructure
Returns the typed dependencies of this grammatical structure.
typedDependencies(boolean) GrammaticalStructure
Deprecated.
typedDependenciesCCprocessed(GrammaticalStructure.Extras) GrammaticalStructure
Get the typed dependencies after collapsing them and processing eventual
CC complements.
typedDependenciesCCprocessed(boolean) GrammaticalStructure
Deprecated.
typedDependenciesCCprocessed() GrammaticalStructure
Get a list of the typed dependencies, including extras like control
dependencies, collapsing them and distributing relations across
coordination.
typedDependenciesCollapsed() GrammaticalStructure
Get the typed dependencies after collapsing them.
typedDependenciesCollapsed(GrammaticalStructure.Extras) GrammaticalStructure
Get the typed dependencies after collapsing them.
typedDependenciesCollapsed(boolean) GrammaticalStructure
Deprecated.
typedDependenciesCollapsedTree() GrammaticalStructure
Get the typed dependencies after mostly collapsing them, but keep a tree
structure.
typedDependenciesEnhanced() GrammaticalStructure
typedDependenciesEnhancedPlusPlus() GrammaticalStructure
TypedDependency edu.stanford.nlp.trees
A TypedDependency is a relation between two words in a
GrammaticalStructure.
TypedDependency(GrammaticalRelation, IndexedWord, IndexedWord) TypedDependency
TypedDependency(TypedDependency) TypedDependency
typedDependencyClasser() AbstractTreebankParserParams
Returns an EquivalenceClasser that classes typed dependencies
by the syntactic categories of mother, head and daughter,
plus direction.
typedDependencyHeadFinder() AbstractTreebankParserParams
The HeadFinder to use when extracting typed dependencies.
typedDependencyHeadFinder() ArabicTreebankParserParams
typedDependencyHeadFinder() ChineseTreebankParserParams
typedDependencyHeadFinder() EnglishTreebankParserParams
typedDependencyHeadFinder() FrenchTreebankParserParams
typedDependencyHeadFinder() HebrewTreebankParserParams
typedDependencyHeadFinder() NegraPennTreebankParserParams
typedDependencyHeadFinder() SpanishTreebankParserParams
typedDependencyHeadFinder() TreebankLangParserParams
typedDependencyHeadFinder() TueBaDZParserParams
typedDependencyHeadFinder() ArabicTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() FrenchTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() HebrewTreebankLanguagePack
typedDependencyHeadFinder() NegraPennLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() ChineseTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() SpanishTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() TueBaDZLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() PennTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() TreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyObjectify(Tree, HeadFinder, TreeTransformer) AbstractTreebankParserParams
Returns a collection of word-word dependencies typed by mother, head, daughter node syntactic categories.
TypedExpression(String, String...) Expressions.TypedExpression
typeEquals(SemanticGraphEdge) SemanticGraphEdge
typeMatches(LabeledChunkIdentifier.LabelTagType) LabeledChunkIdentifier.LabelTagType
typeName ValueFunctions.ParamInfo
typeProbabilities ExtractionObject
Probabilities associated with this object
We report probability values for each possible type for this object
TypesafeMap edu.stanford.nlp.util
Type signature for a class that supports the basic operations required
of a typesafe heterogeneous map.
TypesafeMap.Key VALUE > - Interface in edu.stanford.nlp.util
Base type of keys for the map.