edu.stanford.nlp.ie

Class NERClassifierCombiner

java.lang.Object

edu.stanford.nlp.ie.AbstractSequenceClassifier<IN>

edu.stanford.nlp.ie.ClassifierCombiner<CoreLabel>

edu.stanford.nlp.ie.NERClassifierCombiner

All Implemented Interfaces:

java.util.function.Function<String,String>

public class NERClassifierCombiner
extends ClassifierCombiner<CoreLabel>

Subclass of ClassifierCombiner that behaves like a NER, by copying the AnswerAnnotation labels to NERAnnotation. Also, it runs an additional classifier (QuantifiableEntityNormalizer) to recognize numeric entities.

Author:

Mihai Surdeanu

Field Summary

Fields

Modifier and Type	Field and Description
static boolean	APPLY_NUMERIC_CLASSIFIERS_DEFAULT
static String	APPLY_NUMERIC_CLASSIFIERS_PROPERTY

Fields inherited from class edu.stanford.nlp.ie.AbstractSequenceClassifier

classIndex, featureFactories, flags, knownLCWords, pad, windowSize

Constructor Summary

Constructors

Constructor and Description
NERClassifierCombiner(AbstractSequenceClassifier<CoreLabel>... classifiers)
NERClassifierCombiner(boolean applyNumericClassifiers, boolean useSUTime, AbstractSequenceClassifier<CoreLabel>... classifiers)
NERClassifierCombiner(boolean applyNumericClassifiers, boolean useSUTime, Properties nscProps, String... loadPaths)
NERClassifierCombiner(boolean applyNumericClassifiers, boolean useSUTime, String... loadPaths)
NERClassifierCombiner(Properties props)
NERClassifierCombiner(String... loadPaths)

Method Summary

Modifier and Type	Method and Description
boolean	appliesNumericClassifiers()
List<CoreLabel>	classify(List<CoreLabel> tokens) Generates the AnswerAnnotation labels of the combined model for the given tokens, storing them in place in the tokens.
List<CoreLabel>	classifyWithGlobalInformation(List<CoreLabel> tokens, CoreMap document, CoreMap sentence) Classify a List of something that extends CoreMap using as additional information whatever is stored in the document and sentence.
void	finalizeAnnotation(Annotation annotation)
boolean	usesSUTime()

Methods inherited from class edu.stanford.nlp.ie.ClassifierCombiner

extractCombinationMode, extractCombinationModeSafe, labels, loadClassifier, loadClassifierFromPath, main, printProbsDocument, serializeClassifier, train

Methods inherited from class edu.stanford.nlp.ie.AbstractSequenceClassifier

apply, backgroundSymbol, classify, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswers, classifyAndWriteAnswersKBest, classifyAndWriteAnswersKBest, classifyAndWriteViterbiSearchGraph, classifyFile, classifyFilesAndWriteAnswers, classifyFilesAndWriteAnswers, classifyKBest, classifyRaw, classifySentence, classifySentenceWithGlobalInformation, classifyStdin, classifyStdin, classifyToCharacterOffsets, classifyToString, classifyToString, classifyWithInlineXML, countResults, countResultsSegmenter, defaultReaderAndWriter, dumpFeatures, finalizeClassification, getKnownLCWords, getSampler, getSequenceModel, getViterbiSearchGraph, loadClassifier, loadClassifier, loadClassifier, loadClassifier, loadClassifier, loadClassifier, loadClassifierNoExceptions, loadClassifierNoExceptions, loadClassifierNoExceptions, loadClassifierNoExceptions, loadClassifierNoExceptions, loadJarClassifier, makeObjectBankFromFile, makeObjectBankFromFile, makeObjectBankFromFiles, makeObjectBankFromFiles, makeObjectBankFromFiles, makeObjectBankFromReader, makeObjectBankFromString, makePlainTextReaderAndWriter, makeReaderAndWriter, plainTextReaderAndWriter, printFeatureLists, printFeatures, printProbs, printProbsDocuments, printResults, reinit, segmentString, segmentString, train, train, train, train, train, train, windowSize, writeAnswers

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.util.function.Function

andThen, compose, identity

Field Detail

APPLY_NUMERIC_CLASSIFIERS_DEFAULT

public static final boolean APPLY_NUMERIC_CLASSIFIERS_DEFAULT

See Also:

Constant Field Values

APPLY_NUMERIC_CLASSIFIERS_PROPERTY

public static final String APPLY_NUMERIC_CLASSIFIERS_PROPERTY

See Also:

Constant Field Values

Constructor Detail

NERClassifierCombiner

public NERClassifierCombiner(Properties props)
                      throws FileNotFoundException

Throws:

FileNotFoundException

NERClassifierCombiner

public NERClassifierCombiner(String... loadPaths)
                      throws FileNotFoundException

Throws:

FileNotFoundException

NERClassifierCombiner

public NERClassifierCombiner(boolean applyNumericClassifiers,
                             boolean useSUTime,
                             String... loadPaths)
                      throws FileNotFoundException

Throws:

FileNotFoundException

NERClassifierCombiner

public NERClassifierCombiner(boolean applyNumericClassifiers,
                             boolean useSUTime,
                             Properties nscProps,
                             String... loadPaths)
                      throws FileNotFoundException

Throws:

FileNotFoundException

NERClassifierCombiner

public NERClassifierCombiner(AbstractSequenceClassifier<CoreLabel>... classifiers)
                      throws FileNotFoundException

Throws:

FileNotFoundException

NERClassifierCombiner

public NERClassifierCombiner(boolean applyNumericClassifiers,
                             boolean useSUTime,
                             AbstractSequenceClassifier<CoreLabel>... classifiers)
                      throws FileNotFoundException

Throws:

FileNotFoundException

Method Detail

appliesNumericClassifiers

public boolean appliesNumericClassifiers()

usesSUTime

public boolean usesSUTime()

classify

public List<CoreLabel> classify(List<CoreLabel> tokens)

Description copied from class: ClassifierCombiner

Generates the AnswerAnnotation labels of the combined model for the given tokens, storing them in place in the tokens.

Overrides:

classify in class ClassifierCombiner<CoreLabel>

Parameters:

tokens - A List of IN

Returns:

The passed in parameters, which will have the AnswerAnnotation field added/overwritten

classifyWithGlobalInformation

public List<CoreLabel> classifyWithGlobalInformation(List<CoreLabel> tokens,
                                                     CoreMap document,
                                                     CoreMap sentence)

Description copied from class: AbstractSequenceClassifier

Classify a List of something that extends CoreMap using as additional information whatever is stored in the document and sentence. This is needed for SUTime (NumberSequenceClassifier), which requires the document date to resolve relative dates.

Overrides:

classifyWithGlobalInformation in class ClassifierCombiner<CoreLabel>

Returns:

Classified version of the input tokenSequence

finalizeAnnotation

public void finalizeAnnotation(Annotation annotation)