Package opennlp.tools.chunker

Examples of opennlp.tools.chunker.ChunkerME$ChunkBeamSearch

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    AnswerTypeContextGenerator atcg = new AnswerTypeContextGenerator(new File(getWordNetDictionary().getAbsolutePath()));
    //<start id="answerType"/>
    FileInputStream chunkerStream = new FileInputStream(
        new File(modelDir,"en-chunker.bin"));
    ChunkerModel chunkerModel = new ChunkerModel(chunkerStream);
    ChunkerME chunker = new ChunkerME(chunkerModel);
    FileInputStream posStream = new FileInputStream(
        new File(modelDir,"en-pos-maxent.bin"));
    POSModel posModel = new POSModel(posStream);
    POSTaggerME tagger =  new POSTaggerME(posModel);
    Parser parser = new ChunkParser(chunker, tagger);
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  public void demonstrateATCG() throws Exception {
    File modelDir = getModelDir();
    InputStream chunkerStream = new FileInputStream(
            new File(modelDir,"en-chunker.bin"));
    ChunkerModel chunkerModel = new ChunkerModel(chunkerStream);
    ChunkerME chunker = new ChunkerME(chunkerModel);
    InputStream posStream = new FileInputStream(
            new File(modelDir,"en-pos-maxent.bin"));
    POSModel posModel = new POSModel(posStream);
    POSTaggerME tagger =  new POSTaggerME(posModel);
    Parser parser = new ChunkParser(chunker, tagger);
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    File modelDir = getModelDir();
    //<start id="openChunkParse"/>
    FileInputStream chunkerStream = new FileInputStream(
        new File(modelDir,"en-chunker.bin"));
    ChunkerModel chunkerModel = new ChunkerModel(chunkerStream);
    ChunkerME chunker = new ChunkerME(chunkerModel);
    FileInputStream posStream = new FileInputStream(
        new File(modelDir,"en-pos-maxent.bin"));
    POSModel posModel = new POSModel(posStream);
    POSTaggerME tagger =  new POSTaggerME(posModel);
    Parser parser = new ChunkParser(chunker, tagger);
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      File modelsDir = new File(modelDirectory);
      try {
        InputStream chunkerStream = new FileInputStream(
            new File(modelsDir,"en-chunker.bin"));
        ChunkerModel chunkerModel = new ChunkerModel(chunkerStream);
        chunker = new ChunkerME(chunkerModel); //<co id="qqpp.chunker"/>
        InputStream posStream = new FileInputStream(
            new File(modelsDir,"en-pos-maxent.bin"));
        POSModel posModel = new POSModel(posStream);
        tagger =  new POSTaggerME(posModel); //<co id="qqpp.tagger"/>
        model = new DoccatModel(new FileInputStream( //<co id="qqpp.theModel"/>
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    File modelsDir = new File(modelsDirProp);
    String wordnetDir = System.getProperty("wordnet.dir");
    InputStream chunkerStream = new FileInputStream(
        new File(modelsDir,"en-chunker.bin"));
    ChunkerModel chunkerModel = new ChunkerModel(chunkerStream);
    ChunkerME chunker = new ChunkerME(chunkerModel);
    InputStream posStream = new FileInputStream(
        new File(modelsDir,"en-pos-maxent.bin"));
    POSModel posModel = new POSModel(posStream);
    POSTaggerME tagger =  new POSTaggerME(posModel);
    Parser parser = new ChunkParser(chunker, tagger);
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    File modelsDir = new File(modelsDirProp);  
    File wordnetDir = new File(System.getProperty("wordnet.dir", "book/src/main" + File.separator + "WordNet-3.0" + File.separator + "dict"));
    InputStream chunkerStream = new FileInputStream(
        new File(modelsDir,"en-chunker.bin"));
    ChunkerModel chunkerModel = new ChunkerModel(chunkerStream);
    ChunkerME chunker = new ChunkerME(chunkerModel);
    InputStream posStream = new FileInputStream(
        new File(modelsDir,"en-pos-maxent.bin"));
    POSModel posModel = new POSModel(posStream);
    POSTaggerME tagger =  new POSTaggerME(posModel);
    Parser parser = new ChunkParser(chunker, tagger);
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    }
    catch (ResourceAccessException e) {
        throw new ResourceInitializationException(e);
    }
   
    mChunker = new ChunkerME(model);
  }
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  private int[] attachments;

  public Parser(ParserModel model, int beamSize, double advancePercentage) {
    this(model.getBuildModel(), model.getAttachModel(), model.getCheckModel(),
        new POSTaggerME(model.getParserTaggerModel()),
        new ChunkerME(model.getParserChunkerModel(),
        ChunkerME.DEFAULT_BEAM_SIZE,
        new ParserChunkerSequenceValidator(model.getParserChunkerModel()),
        new ChunkContextGenerator(ChunkerME.DEFAULT_BEAM_SIZE)),
        model.getHeadRules(),
        beamSize, advancePercentage);
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  private int incompleteIndex;

  public Parser(ParserModel model, int beamSize, double advancePercentage) {
    this(model.getBuildModel(), model.getCheckModel(),
        new POSTaggerME(model.getParserTaggerModel(), 10, 0),
        new ChunkerME(model.getParserChunkerModel(),
            ChunkerME.DEFAULT_BEAM_SIZE,
            new ParserChunkerSequenceValidator(model.getParserChunkerModel()),
            new ChunkContextGenerator(ChunkerME.DEFAULT_BEAM_SIZE)),
            model.getHeadRules(), beamSize, advancePercentage);
  }
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    if(params.getDetailedF()) {
      detailedFMeasureListener = new ChunkerDetailedFMeasureListener();
      listeners.add(detailedFMeasureListener);
    }

    ChunkerEvaluator evaluator = new ChunkerEvaluator(new ChunkerME(model,
        ChunkerME.DEFAULT_BEAM_SIZE, new DefaultChunkerSequenceValidator()),
        listeners.toArray(new ChunkerEvaluationMonitor[listeners.size()]));
   
    final ObjectStream<ChunkSample> sampleStream = ChunkerTrainerTool.openSampleData("Test",
        testData, encoding);
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Related Classes of opennlp.tools.chunker.ChunkerME$ChunkBeamSearch

  • com.tamingtext.opennlp.AnswerTypeTest
  • com.tamingtext.opennlp.ChunkParserTest
  • com.tamingtext.qa.AnswerTypeClassifier
  • com.tamingtext.qa.AnswerTypeEventStream
  • com.tamingtext.qa.QuestionQParserPlugin
  • edu.washington.cs.knowitall.util.DefaultObjects
  • gate.opennlp.OpenNlpChunker
  • opennlp.maxent.GISModel
  • opennlp.maxent.TwoPassDataIndexer
  • opennlp.model.AbstractModel
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