Examples of edu.stanford.nlp.sequences.ExactBestSequenceFinder

edu.stanford.nlp.sequences.ExactBestSequenceFinder
A class capable of computing the best sequence given a SequenceModel. Uses the Viterbi algorithm. @author Dan Klein @author Teg Grenager (grenager@stanford.edu)

    //    TagScorer ts = new PrevOnlyScorer(document, tagIndex, this, (!flags.useTaggySequences ? (flags.usePrevSequences ? 1 : 0) : flags.maxLeft), 0, answerArrays);


    int[] tags;
    //System.err.println("***begin test***");
    if (flags.useViterbi) {
      ExactBestSequenceFinder ti = new ExactBestSequenceFinder();
      tags = ti.bestSequence(ts);
    } else {
      BeamBestSequenceFinder ti = new BeamBestSequenceFinder(flags.beamSize, true, true);
      tags = ti.bestSequence(ts, document.size());
    }
    //System.err.println("***end test***");


    // used to improve recall in task 1b
    if (flags.lowerNewgeneThreshold) {

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  }


  private void runTagInference() {
    this.initializeScorer();


    BestSequenceFinder ti = new ExactBestSequenceFinder();
      //new BeamBestSequenceFinder(50);
      //new KBestSequenceFinder()
    int[] bestTags = ti.bestSequence(this);
    finalTags = new String[bestTags.length];
    for (int j = 0; j < size; j++) {
      finalTags[j] = maxentTagger.tags.getTag(bestTags[j + leftWindow()]);
    }
    cleanUpScorer();

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  }


  private void runTagInference() {
    this.initializeScorer(sent);


    BestSequenceFinder ti = new ExactBestSequenceFinder();
      //new BeamBestSequenceFinder(50);
      //new KBestSequenceFinder()
    int[] bestTags = ti.bestSequence(this);
    finalTags = new String[bestTags.length];
    for (int j = 0; j < size; j++) {
      finalTags[j] = GlobalHolder.tags.getTag(bestTags[j + leftWindow()]);
    }
    cleanUpScorer();

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edu.stanford.nlp.ie.ner.CMMClassifier

edu.stanford.nlp.tagger.maxent.TestSentence

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