edu.stanford.nlp.tagger.maxent
Class ExtractorVerbalVBNZero

java.lang.Object
  edu.stanford.nlp.tagger.maxent.Extractor
      edu.stanford.nlp.tagger.maxent.DictionaryExtractor
          edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero

All Implemented Interfaces:

java.io.Serializable

public class ExtractorVerbalVBNZero
extends DictionaryExtractor

Look for verbs selecting a VBN verb. This is now a zeroeth order observed data only feature. But reminiscent of what was done in Toutanova and Manning 2000. It doesn't seem to help tagging performance any more.

Author:

Christopher Manning

See Also:

Serialized Form

Field Summary

Fields inherited from class edu.stanford.nlp.tagger.maxent.DictionaryExtractor

dict

Constructor Summary

ExtractorVerbalVBNZero(int bound)

Method Summary

boolean	precondition(java.lang.String tag) This evaluates any precondition for a feature being applicable based on a certain tag.
java.lang.String	toString()

Methods inherited from class edu.stanford.nlp.tagger.maxent.DictionaryExtractor

setGlobalHolder

Methods inherited from class edu.stanford.nlp.tagger.maxent.Extractor

isDynamic, isLocal, leftContext, rightContext

Methods inherited from class java.lang.Object

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

Constructor Detail

ExtractorVerbalVBNZero

public ExtractorVerbalVBNZero(int bound)

Method Detail

precondition

public boolean precondition(java.lang.String tag)

Description copied from class: Extractor

This evaluates any precondition for a feature being applicable based on a certain tag. It returns true if the feature is applicable. By default an Extractor is applicable everywhere, but some subclasses limit application.

Overrides:

precondition in class Extractor

Parameters:

tag - The possible tag that the feature will be generated for

Returns:

Whether the feature extractor is applicable (true) or not (false)

toString

public java.lang.String toString()

Overrides:

toString in class Extractor