Package opennlp.tools.cmdline.namefind

Examples of opennlp.tools.cmdline.namefind.NameEvaluationErrorListener

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  @Test
  public void testPositive() {
    OutputStream stream = new ByteArrayOutputStream();
    TokenNameFinderEvaluationMonitor listener = new NameEvaluationErrorListener(stream);
   
    Span[] pred = createSimpleNameSampleA().getNames();
    TokenNameFinderEvaluator eval = new TokenNameFinderEvaluator(new DummyNameFinder(pred), listener);
   
    eval.evaluateSample(createSimpleNameSampleA());
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  }
 
  @Test
  public void testNegative() {
    OutputStream stream = new ByteArrayOutputStream();
    TokenNameFinderEvaluationMonitor listener = new NameEvaluationErrorListener(stream);
   
    Span[] pred = createSimpleNameSampleB().getNames();
    TokenNameFinderEvaluator eval = new TokenNameFinderEvaluator(new DummyNameFinder(pred), listener);
   
    eval.evaluateSample(createSimpleNameSampleA());
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  @Test
  public void testEvaluator() throws IOException, URISyntaxException {
    DictionaryNameFinder nameFinder = new DictionaryNameFinder(
        createDictionary());
    TokenNameFinderEvaluator evaluator = new TokenNameFinderEvaluator(
        nameFinder, new NameEvaluationErrorListener());
    ObjectStream<NameSample> sample = createSample();

    evaluator.evaluate(sample);
    sample.close();
    FMeasure fmeasure = evaluator.getFMeasure();
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    TrainingParameters mlParams = ModelUtil.createTrainingParameters(70, 1);
    mlParams.put(TrainingParameters.ALGORITHM_PARAM,
        ModelType.MAXENT.toString());
   
    ByteArrayOutputStream out = new ByteArrayOutputStream();
    NameEvaluationErrorListener listener = new NameEvaluationErrorListener(out);

    Map<String, Object> resources = Collections.emptyMap();
    TokenNameFinderCrossValidator cv = new TokenNameFinderCrossValidator("en",
        TYPE, mlParams, null, resources, listener);
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    mlParams.put(TrainingParameters.ALGORITHM_PARAM,
        ModelType.MAXENT.toString());

    ByteArrayOutputStream out = new ByteArrayOutputStream();
    NameEvaluationErrorListener listener = new NameEvaluationErrorListener(out);

    Map<String, Object> resources = Collections.emptyMap();
    TokenNameFinderCrossValidator cv = new TokenNameFinderCrossValidator("en",
        TYPE, mlParams, null, resources, listener);
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  @Test
  public void testPositive() {
    OutputStream stream = new ByteArrayOutputStream();
    TokenNameFinderEvaluationMonitor listener = new NameEvaluationErrorListener(stream);

    Span[] pred = createSimpleNameSampleA().getNames();
    TokenNameFinderEvaluator eval = new TokenNameFinderEvaluator(new DummyNameFinder(pred), listener);

    eval.evaluateSample(createSimpleNameSampleA());
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  }

  @Test
  public void testNegative() {
    OutputStream stream = new ByteArrayOutputStream();
    TokenNameFinderEvaluationMonitor listener = new NameEvaluationErrorListener(stream);

    Span[] pred = createSimpleNameSampleB().getNames();
    TokenNameFinderEvaluator eval = new TokenNameFinderEvaluator(new DummyNameFinder(pred), listener);

    eval.evaluateSample(createSimpleNameSampleA());
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  @Test
  public void testEvaluator() throws IOException, URISyntaxException {
    DictionaryNameFinder nameFinder = new DictionaryNameFinder(
        createDictionary());
    TokenNameFinderEvaluator evaluator = new TokenNameFinderEvaluator(
        nameFinder, new NameEvaluationErrorListener());
    ObjectStream<NameSample> sample = createSample();

    evaluator.evaluate(sample);
    sample.close();
    FMeasure fmeasure = evaluator.getFMeasure();
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Related Classes of opennlp.tools.cmdline.namefind.NameEvaluationErrorListener

  • opennlp.tools.namefind.DictionaryNameFinderEvaluatorTest
  • opennlp.tools.namefind.TokenNameFinderCrossValidatorTest
  • opennlp.tools.namefind.TokenNameFinderEvaluatorTest
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