opennlp.tools.namefind
Interface AdaptiveFeatureGenerator

All Known Implementing Classes:

AdditionalContextFeatureGenerator, CachedFeatureGenerator, CharacterNgramFeatureGenerator, DictionaryFeatureGenerator, FeatureGeneratorAdapter, PreviousMapFeatureGenerator, TokenClassFeatureGenerator, TokenFeatureGenerator, TokenPatternFeatureGenerator, WindowFeatureGenerator

public interface AdaptiveFeatureGenerator

An interface for generating features for name entity identification and for updating document level contexts.

Method Summary

void	clearAdaptiveData() Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.
void	createFeatures(java.util.List features, java.lang.String[] tokens, int index, java.lang.String[] previousOutcomes) Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.
void	updateAdaptiveData(java.lang.String[] tokens, java.lang.String[] outcomes) Informs the feature generator that the specified tokens have been classified with the coorisponds set of specified outcomes.

Method Detail

createFeatures

void createFeatures(java.util.List features,
                    java.lang.String[] tokens,
                    int index,
                    java.lang.String[] previousOutcomes)

Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.

Parameters:

features - The list of features to be added to.

tokens - The tokens of the sentence or other text unit being processed.

index - The index of the token which is currently being processed.

previousOutcomes - The outcomes for the tokens prior to the specified index.

updateAdaptiveData

void updateAdaptiveData(java.lang.String[] tokens,
                        java.lang.String[] outcomes)

Informs the feature generator that the specified tokens have been classified with the coorisponds set of specified outcomes.

Parameters:

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

outcomes - The outcomes associated with the specified tokens.

clearAdaptiveData

void clearAdaptiveData()

Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.