Examples of opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
This {@link FeatureGeneratorAdapter} generates features indicating the outcome associated with a previously occuring word.

      new AggregatedFeatureGenerator( //<co id="co.opennlp.name.createfeat"/>
        new WindowFeatureGenerator(
          new TokenFeatureGenerator(), 2, 2), //<co id="co.opennlp.name.tokenfeat"/>
        new WindowFeatureGenerator(
          new TokenClassFeatureGenerator(), 2, 2), //<co id="co.opennlp.name.tokenclassfeat"/>
        new PreviousMapFeatureGenerator() //<co id="co.opennlp.name.prevfeat"/>
      );  
    /*<calloutlist>
    <callout arearefs="co.opennlp.name.createfeat"><para>Creates an aggregated feature generator containing the 3 generators defined below.</para></callout>
    <callout arearefs="co.opennlp.name.tokenfeat"><para>Creates a feature generator corresponding to the tokens in a 5-token widow (2 to the left, and 2 to the right).</para></callout>
    <callout arearefs="co.opennlp.name.tokenclassfeat"><para>Creates a feature generator corresponding to the token classes of the tokens in a 5-token widow (2 to the left, and 2 to the right).</para></callout>

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   return new CachedFeatureGenerator(
         new AdaptiveFeatureGenerator[]{
           new WindowFeatureGenerator(new TokenFeatureGenerator(), 2, 2),
           new WindowFeatureGenerator(new TokenClassFeatureGenerator(true), 2, 2),
           new OutcomePriorFeatureGenerator(),
           new PreviousMapFeatureGenerator(),
           new BigramNameFeatureGenerator(),
           new SentenceFeatureGenerator(true, false)
           });
  }

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    else {
      // use defaults


      this.featureGenerators = new AdaptiveFeatureGenerator[]{
          windowFeatures,
          new PreviousMapFeatureGenerator()};
    }
  }

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    else {
      // use defaults


      this.featureGenerators = new AdaptiveFeatureGenerator[]{
          windowFeatures,
          new PreviousMapFeatureGenerator()};
    }
  }

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   return new CachedFeatureGenerator(
         new AdaptiveFeatureGenerator[]{
           new WindowFeatureGenerator(new TokenFeatureGenerator(), 2, 2),
           new WindowFeatureGenerator(new TokenClassFeatureGenerator(true), 2, 2),
           new OutcomePriorFeatureGenerator(),
           new PreviousMapFeatureGenerator(),
           new BigramNameFeatureGenerator(),
           new SentenceFeatureGenerator(true, false)
           });
  }

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    return new CachedFeatureGenerator(
            new AdaptiveFeatureGenerator[]{
              new WindowFeatureGenerator(new TokenFeatureGenerator(), 2, 2),
              new WindowFeatureGenerator(new TokenClassFeatureGenerator(true), 2, 2),
              new OutcomePriorFeatureGenerator(),
              new PreviousMapFeatureGenerator(),
              new BigramNameFeatureGenerator(),
              new SentenceFeatureGenerator(true, false)
            });
  }

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    else {
      // use defaults


      this.featureGenerators = new AdaptiveFeatureGenerator[]{
          windowFeatures,
          new PreviousMapFeatureGenerator()};
    }
  }

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   return new CachedFeatureGenerator(
         new AdaptiveFeatureGenerator[]{
           new WindowFeatureGenerator(new TokenFeatureGenerator(), 2, 2),
           new WindowFeatureGenerator(new TokenClassFeatureGenerator(true), 2, 2),
           new OutcomePriorFeatureGenerator(),
           new PreviousMapFeatureGenerator(),
           new BigramNameFeatureGenerator(),
           new SentenceFeatureGenerator(true, false)
           });
  }

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    else {
      // use defaults


      this.featureGenerators = new AdaptiveFeatureGenerator[]{
          windowFeatures,
          new PreviousMapFeatureGenerator()};
    }
  }

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Related Classes of opennlp.tools.util.featuregen.PreviousMapFeatureGenerator

com.tamingtext.opennlp.NameFinderTest

opennlp.tools.namefind.DefaultNameContextGenerator

opennlp.tools.namefind.NameFinderME

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