Package opennlp.tools.coref

Examples of opennlp.tools.coref.DiscourseEntity

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    //this(projectName, modelName, mode, numberEntitiesBack, preferFirstReferent, SingletonNonReferentialResolver.getInstance(projectName,mode));
    this(modelDirectory, modelName, mode, numberEntitiesBack, preferFirstReferent, new FixedNonReferentialResolver(nonReferentialProbability));
  }

  public DiscourseEntity resolve(MentionContext ec, DiscourseModel dm) {
    DiscourseEntity de;
    int ei = 0;
    double nonReferentialProbability = nonReferentialResolver.getNonReferentialProbability(ec);
    if (debugOn) {
      System.err.println(this +".resolve: " + ec.toText() + " -> " +  "null "+nonReferentialProbability);
    }
    for (; ei < getNumEntities(dm); ei++) {
      de = dm.getEntity(ei);
      if (outOfRange(ec, de)) {
        break;
      }
      if (excluded(ec, de)) {
        candProbs[ei] = 0;
        if (debugOn) {
          System.err.println("excluded "+this +".resolve: " + ec.toText() + " -> " + de + " " + candProbs[ei]);
        }
      }
      else {

        List<String> lfeatures = getFeatures(ec, de);
        String[] features = lfeatures.toArray(new String[lfeatures.size()]);
        try {
          candProbs[ei] = model.eval(features)[sameIndex];
        }
        catch (ArrayIndexOutOfBoundsException e) {
          candProbs[ei] = 0;
        }
        if (debugOn) {
          System.err.println(this +".resolve: " + ec.toText() + " -> " + de + " ("+ec.getGender()+","+de.getGender()+") " + candProbs[ei] + " " + lfeatures);
        }
      }
      if (preferFirstReferent && candProbs[ei] > nonReferentialProbability) {
        ei++; //update for nonRef assignment
        break;
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  @Override
  public DiscourseEntity retain(MentionContext mention, DiscourseModel dm) {
    //System.err.println(this+".retain("+ec+") "+mode);
    if (ResolverMode.TRAIN == mode) {
      DiscourseEntity de = null;
      boolean referentFound = false;
      boolean hasReferentialCandidate = false;
      boolean nonReferentFound = false;
      for (int ei = 0; ei < getNumEntities(dm); ei++) {
        DiscourseEntity cde = dm.getEntity(ei);
        MentionContext entityMention = cde.getLastExtent();
        if (outOfRange(mention, cde)) {
          if (mention.getId() != -1 && !referentFound) {
            //System.err.println("retain: Referent out of range: "+ec.toText()+" "+ec.parse.getSpan());
          }
          break;
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    int ei = 0;
    if (mention.getId() == -1) {
      return null;
    }
    for (; ei < dm.getNumEntities(); ei++) {
      DiscourseEntity cde = dm.getEntity(ei);
      MentionContext cec = cde.getLastExtent(); // candidate extent context
      if (cec.getId() == mention.getId()) {
        distances.add(new Integer(ei));
        return cde;
      }
    }
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  public static boolean loadAsResource() {
    return loadAsResource;
  }

  public DiscourseEntity resolve(MentionContext ec, DiscourseModel dm) {
    DiscourseEntity de;
    int ei = 0;
    double nonReferentialProbability = nonReferentialResolver.getNonReferentialProbability(ec);
    if (debugOn) {
      System.err.println(this +".resolve: " + ec.toText() + " -> " +  "null "+nonReferentialProbability);
    }
    for (; ei < getNumEntities(dm); ei++) {
      de = (DiscourseEntity) dm.getEntity(ei);
      if (outOfRange(ec, de)) {
        break;
      }
      if (excluded(ec, de)) {
        candProbs[ei] = 0;
        if (debugOn) {
          System.err.println("excluded "+this +".resolve: " + ec.toText() + " -> " + de + " " + candProbs[ei]);
        }
      }
      else {

        List lfeatures = getFeatures(ec, de);
        String[] features = (String[]) lfeatures.toArray(new String[lfeatures.size()]);
        try {
          candProbs[ei] = model.eval(features)[sameIndex];
        }
        catch (ArrayIndexOutOfBoundsException e) {
          candProbs[ei] = 0;
        }
        if (debugOn) {
          System.err.println(this +".resolve: " + ec.toText() + " -> " + de + " ("+ec.getGender()+","+de.getGender()+") " + candProbs[ei] + " " + lfeatures);
        }
      }
      if (preferFirstReferent && candProbs[ei] > nonReferentialProbability) {
        ei++; //update for nonRef assignment
        break;
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  }

  public DiscourseEntity retain(MentionContext mention, DiscourseModel dm) {
    //System.err.println(this+".retain("+ec+") "+mode);
    if (ResolverMode.TRAIN == mode) {
      DiscourseEntity de = null;
      boolean referentFound = false;
      boolean hasReferentialCandidate = false;
      boolean nonReferentFound = false;
      for (int ei = 0; ei < getNumEntities(dm); ei++) {
        DiscourseEntity cde = (DiscourseEntity) dm.getEntity(ei);
        MentionContext entityMention = cde.getLastExtent();
        if (outOfRange(mention, cde)) {
          if (mention.getId() != -1 && !referentFound) {
            //System.err.println("retain: Referent out of range: "+ec.toText()+" "+ec.parse.getSpan());
          }
          break;
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    int ei = 0;
    if (mention.getId() == -1) {
      return(null);
    }
    for (; ei < dm.getNumEntities(); ei++) {
      DiscourseEntity cde = dm.getEntity(ei);
      MentionContext cec = cde.getLastExtent(); // candidate extent context
      if (cec.getId() == mention.getId()) {
        distances.add(new Integer(ei));
        return (cde);
      }
    }
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    int ei = 0;
    if (mention.getId() == -1) {
      return null;
    }
    for (; ei < dm.getNumEntities(); ei++) {
      DiscourseEntity cde = dm.getEntity(ei);
      MentionContext cec = cde.getLastExtent(); // candidate extent context
      if (cec.getId() == mention.getId()) {
        distances.add(ei);
        return cde;
      }
    }
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    //this(projectName, modelName, mode, numberEntitiesBack, preferFirstReferent, SingletonNonReferentialResolver.getInstance(projectName,mode));
    this(modelDirectory, modelName, mode, numberEntitiesBack, preferFirstReferent, new FixedNonReferentialResolver(nonReferentialProbability));
  }

  public DiscourseEntity resolve(MentionContext ec, DiscourseModel dm) {
    DiscourseEntity de;
    int ei = 0;
    double nonReferentialProbability = nonReferentialResolver.getNonReferentialProbability(ec);
    if (debugOn) {
      System.err.println(this +".resolve: " + ec.toText() + " -> " +  "null "+nonReferentialProbability);
    }
    for (; ei < getNumEntities(dm); ei++) {
      de = dm.getEntity(ei);
      if (outOfRange(ec, de)) {
        break;
      }
      if (excluded(ec, de)) {
        candProbs[ei] = 0;
        if (debugOn) {
          System.err.println("excluded "+this +".resolve: " + ec.toText() + " -> " + de + " " + candProbs[ei]);
        }
      }
      else {

        List<String> lfeatures = getFeatures(ec, de);
        String[] features = lfeatures.toArray(new String[lfeatures.size()]);
        try {
          candProbs[ei] = model.eval(features)[sameIndex];
        }
        catch (ArrayIndexOutOfBoundsException e) {
          candProbs[ei] = 0;
        }
        if (debugOn) {
          System.err.println(this +".resolve: " + ec.toText() + " -> " + de + " ("+ec.getGender()+","+de.getGender()+") " + candProbs[ei] + " " + lfeatures);
        }
      }
      if (preferFirstReferent && candProbs[ei] > nonReferentialProbability) {
        ei++; //update for nonRef assignment
        break;
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  }

  public DiscourseEntity retain(MentionContext mention, DiscourseModel dm) {
    //System.err.println(this+".retain("+ec+") "+mode);
    if (ResolverMode.TRAIN == mode) {
      DiscourseEntity de = null;
      boolean referentFound = false;
      boolean hasReferentialCandidate = false;
      boolean nonReferentFound = false;
      for (int ei = 0; ei < getNumEntities(dm); ei++) {
        DiscourseEntity cde = dm.getEntity(ei);
        MentionContext entityMention = cde.getLastExtent();
        if (outOfRange(mention, cde)) {
          if (mention.getId() != -1 && !referentFound) {
            //System.err.println("retain: Referent out of range: "+ec.toText()+" "+ec.parse.getSpan());
          }
          break;
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Related Classes of opennlp.tools.coref.DiscourseEntity

  • opennlp.tools.coref.resolver.AbstractResolver
  • opennlp.tools.coref.resolver.MaxentResolver
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