Package opennlp.tools.namefind

Examples of opennlp.tools.namefind.NameSample

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            Span[][] tokensBySentence = new Span[document.size()][];
            Span[][] namesBySentence = new Span[document.size()][];

            for (int i = 0; i < document.size(); i++) {

              NameSample sample = document.get(i);
             
              namesBySentence[i] = sample.getNames();
             
              int sentenceBegin = text.length();
             
              Span[] tokens = new Span[sample.getSentence().length];

              // for all tokens
              for (int ti = 0; ti < sample.getSentence().length; ti++) {
                int tokenBegin = text.length();
                text.append(sample.getSentence()[ti]);
                text.append(" ");
                tokens[i] = new Span(tokenBegin, text.length());
              }
             
              tokensBySentence[i] = tokens;
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          // Simple way to drop intersecting spans, otherwise the
          // NameSample is invalid
          Span reducedNames[] = NameFinderME.dropOverlappingSpans(
                  names.toArray(new Span[names.size()]));

          NameSample nameSample = new NameSample(whitespaceTokenizerLine,
                  reducedNames, false);

          System.out.println(nameSample.toString());

          perfMon.incrementCounter();
        }
      } catch (IOException e) {
        CmdLineUtil.handleStdinIoError(e);
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    this.detokenizer = detokenizer;
  }

  public TokenSample read() throws IOException {
    NameSample nameSample = samples.read();

    TokenSample tokenSample = null;

    if (nameSample != null ) {
      tokenSample = new TokenSample(detokenizer, nameSample.getSentence());
    }

    return tokenSample;
  }
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      Node root = paragraph.getRoot();
      List<String> sentence = new ArrayList<String>();
      List<Span> names = new ArrayList<Span>();
      process(root, sentence, names);

      return new NameSample(sentence.toArray(new String[sentence.size()]),
          names.toArray(new Span[names.size()]), clearData);
    }
    return null;
  }
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            cleanedTokens.add(convertToken(token));
            tokenIndex++;
          }

          nameSamples.add(new NameSample(cleanedTokens
              .toArray(new String[cleanedTokens.size()]), entities
              .toArray(new Span[entities.size()]), clearAdaptiveData));

          clearAdaptiveData = false;
        }
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      // if one span remains, create it here
      if (beginIndex != -1)
        names.add(new Span(beginIndex, endIndex, tags.get(beginIndex).substring(2)));

      return new NameSample(sentence.toArray(new String[sentence.size()]), names.toArray(new Span[names.size()]), isClearAdaptiveData);
    }
    else if (line != null) {
      // Just filter out empty events, if two lines in a row are empty
      return read();
    }
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      // if one span remains, create it here
      if (beginIndex != -1)
        names.add(extract(beginIndex, endIndex, tags.get(beginIndex)));

      return new NameSample(sentence.toArray(new String[sentence.size()]), names.toArray(new Span[names.size()]), isClearAdaptiveData);
    }
    else if (line != null) {
      // Just filter out empty events, if two lines in a row are empty
      return read();
    }
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      // if one span remains, create it here
      if (beginIndex != -1)
        names.add(extract(beginIndex, endIndex, tags.get(beginIndex)));

      return new NameSample(sentence.toArray(new String[sentence.size()]), names.toArray(new Span[names.size()]), isClearAdaptiveData);
    }
    else if (line != null) {
      // Just filter out empty events, if two lines in a row are empty
      return read();
    }
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      nameSpan = new Span(nameSpan.getStart(), text.size(), nameSpan.getType());
      names.add(nameSpan);
    }

    if (MucElementNames.CONTENT_ELEMENTS.contains(name)) {
      storedSamples.add(new NameSample(text.toArray(new String[text.size()]),
          names.toArray(new Span[names.size()]), isClearAdaptiveData));

      if (isClearAdaptiveData) {
        isClearAdaptiveData = false;
      }
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        // if one span remains, create it here
        if (beginIndex != -1)
          names.add(extract(beginIndex, endIndex, tags.get(beginIndex)));

        return new NameSample(sentence.toArray(new String[sentence.size()]), names.toArray(new Span[names.size()]), isClearAdaptiveData);
      }
      else if (line != null) {
        // Just filter out empty events, if two lines in a row are empty
        return read();
      }
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Related Classes of opennlp.tools.namefind.NameSample

  • opennlp.tools.cmdline.entitylinker.EntityLinkerTool
  • opennlp.tools.cmdline.namefind.TokenNameFinderTool
  • opennlp.tools.formats.ad.ADNameSampleStream
  • opennlp.tools.formats.ad.ADNameSampleStreamTest
  • opennlp.tools.formats.BioNLP2004NameSampleStream
  • opennlp.tools.formats.brat.BratNameSampleStream
  • opennlp.tools.formats.Conll02NameSampleStream
  • opennlp.tools.formats.Conll02NameSampleStreamTest
  • opennlp.tools.formats.Conll03NameSampleStream
  • opennlp.tools.formats.Conll03NameSampleStreamTest
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