eus.ixa.ixa.pipe.ml.sequence

Class DefaultSequenceLabelerContextGenerator

java.lang.Object

eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator

All Implemented Interfaces:

SequenceLabelerContextGenerator, opennlp.tools.util.BeamSearchContextGenerator<String>

public class DefaultSequenceLabelerContextGenerator
extends Object
implements SequenceLabelerContextGenerator

Class for determining contextual features for a tag/chunk style named-entity recognizer.

Constructor Summary

Constructors

Constructor and Description
DefaultSequenceLabelerContextGenerator(opennlp.tools.util.featuregen.AdaptiveFeatureGenerator... featureGenerators) Creates a name context generator with the specified cache size.

Method Summary

Modifier and Type	Method and Description
void	addFeatureGenerator(opennlp.tools.util.featuregen.AdaptiveFeatureGenerator generator) Adds a feature generator to this set of feature generators.
void	clearAdaptiveData() Informs all the feature generators for a name finder that the context of the adaptive data (typically a document) is no longer valid.
String[]	getContext(int index, String[] tokens, String[] preds, Object[] additionalContext) Return the context for finding names at the specified index.
void	updateAdaptiveData(String[] tokens, String[] outcomes) Informs all the feature generators for a sequence labeler that the specified tokens have been classified with the corresponding set of specified outcomes.

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultSequenceLabelerContextGenerator

public DefaultSequenceLabelerContextGenerator(opennlp.tools.util.featuregen.AdaptiveFeatureGenerator... featureGenerators)

Creates a name context generator with the specified cache size.

Parameters:

featureGenerators - the array of feature generators

Method Detail

addFeatureGenerator

public void addFeatureGenerator(opennlp.tools.util.featuregen.AdaptiveFeatureGenerator generator)

Description copied from interface: SequenceLabelerContextGenerator

Adds a feature generator to this set of feature generators.

Specified by:

addFeatureGenerator in interface SequenceLabelerContextGenerator

Parameters:

generator - The feature generator to add.

updateAdaptiveData

public void updateAdaptiveData(String[] tokens,
                               String[] outcomes)

Description copied from interface: SequenceLabelerContextGenerator

Informs all the feature generators for a sequence labeler that the specified tokens have been classified with the corresponding set of specified outcomes.

Specified by:

updateAdaptiveData in interface SequenceLabelerContextGenerator

Parameters:

tokens - The tokens of the sentence or other text unit which has been processed.

outcomes - The outcomes associated with the specified tokens.

clearAdaptiveData

public void clearAdaptiveData()

Description copied from interface: SequenceLabelerContextGenerator

Informs all the feature generators for a name finder that the context of the adaptive data (typically a document) is no longer valid.

Specified by:

clearAdaptiveData in interface SequenceLabelerContextGenerator

getContext

public String[] getContext(int index,
                           String[] tokens,
                           String[] preds,
                           Object[] additionalContext)

Return the context for finding names at the specified index.

Specified by:

getContext in interface opennlp.tools.util.BeamSearchContextGenerator<String>

Parameters:

index - The index of the token in the specified toks array for which the context should be constructed.

tokens - The tokens of the sentence. The toString methods of these objects should return the token text.

preds - The previous decisions made in the tagging of this sequence. Only indices less than i will be examined.

additionalContext - Addition features which may be based on a context outside of the sentence.

Returns:

the context for finding names at the specified index.