Package opennlp.tools.namefind

Class DefaultNameContextGenerator

java.lang.Object

opennlp.tools.namefind.DefaultNameContextGenerator

All Implemented Interfaces:

NameContextGenerator, BeamSearchContextGenerator<String>

public class DefaultNameContextGenerator
extends Object
implements NameContextGenerator

A NameContextGenerator implementation for determining contextual features for a tag-chunk style named-entity recognizer.

Constructor Summary

Constructors

Constructor	Description
DefaultNameContextGenerator()	Deprecated. use DefaultNameContextGenerator(AdaptiveFeatureGenerator...) and always provide one or more feature generators.
DefaultNameContextGenerator(AdaptiveFeatureGenerator... featureGenerators)	Creates a name context generator with the specified feature generators.

Method Summary

Modifier and Type	Method	Description
void	addFeatureGenerator(AdaptiveFeatureGenerator generator)	Adds a feature generator.
void	clearAdaptiveData()	Informs all the feature generators that the context of the adaptive data (typically a document) is no longer valid and should be cleared.
String[]	getContext(int index, String[] tokens, String[] preds, Object[] additionalContext)	Finds the context for finding names at the specified index.
void	updateAdaptiveData(String[] tokens, String[] outcomes)	Informs all the feature generators that the specified tokens have been classified with the corresponds set of specified outcomes.

Methods inherited from class java.lang.Object

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

Constructor Details

DefaultNameContextGenerator

@Deprecated
public DefaultNameContextGenerator()

Deprecated.

use DefaultNameContextGenerator(AdaptiveFeatureGenerator...) and always provide one or more feature generators.

Creates a name context generator.

DefaultNameContextGenerator

public DefaultNameContextGenerator(AdaptiveFeatureGenerator... featureGenerators)

Creates a name context generator with the specified feature generators.

Parameters:

featureGenerators - One or more feature generators. If none are provided, a default config (WINDOW_FEATURES) will be used.

Method Details

addFeatureGenerator

public void addFeatureGenerator(AdaptiveFeatureGenerator generator)

Description copied from interface: NameContextGenerator

Adds a feature generator.

Specified by:

addFeatureGenerator in interface NameContextGenerator

Parameters:

generator - The feature generator to add.

updateAdaptiveData

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

Description copied from interface: NameContextGenerator

Informs all the feature generators that the specified tokens have been classified with the corresponds set of specified outcomes.

Specified by:

updateAdaptiveData in interface NameContextGenerator

Parameters:

tokens - The tokens of a sentence or another text unit which has been processed.

outcomes - The outcomes associated with the specified tokens.

clearAdaptiveData

public void clearAdaptiveData()

Description copied from interface: NameContextGenerator

Informs all the feature generators that the context of the adaptive data (typically a document) is no longer valid and should be cleared.

Specified by:

clearAdaptiveData in interface NameContextGenerator

getContext

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

Finds the context for finding names at the specified index.

Specified by:

getContext in interface BeamSearchContextGenerator<String>

Parameters:

index - The index of the token in the specified tokens 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 index will be examined.

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

Returns:

The context for finding names at the specified index.