Package opennlp.tools.coref.mention

Examples of opennlp.tools.coref.mention.MentionContext

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   * non-referent entity. Typically the criteria is a heuristic for a likely referent.
   * @param de The discourse entity being considered for non-reference.
   * @return True if the entity should be used as a default referent, false otherwise.
   */
  protected boolean defaultReferent(DiscourseEntity de) {
    MentionContext ec = de.getLastExtent();
    if (ec.getNounPhraseSentenceIndex() == 0) {
      return (true);
    }
    return (false);
  }
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      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;
        }
        if (excluded(mention, cde)) {
          if (showExclusions) {
            if (mention.getId() != -1 && entityMention.getId() == mention.getId()) {
              System.err.println(this +".retain: Referent excluded: (" + mention.getId() + ") " + mention.toText() + " " + mention.getIndexSpan() + " -> (" + entityMention.getId() + ") " + entityMention.toText() + " " + entityMention.getSpan() + " " + this);
            }
          }
        }
        else {
          hasReferentialCandidate = true;
          boolean useAsDifferentExample = defaultReferent(cde);
          //if (!sampleSelection || (mention.getId() != -1 && entityMention.getId() == mention.getId()) || (!nonReferentFound && useAsDifferentExample)) {
            List<String> features = getFeatures(mention, cde);

            //add Event to Model
            if (debugOn) {
              System.err.println(this +".retain: " + mention.getId() + " " + mention.toText() + " -> " + entityMention.getId() + " " + cde);
            }
            if (mention.getId() != -1 && entityMention.getId() == mention.getId()) {
              referentFound = true;
              events.add(new Event(SAME, features.toArray(new String[features.size()])));
              de = cde;
              //System.err.println("MaxentResolver.retain: resolved at "+ei);
              distances.add(ei);
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    return(id);
  }

  public String toString() {
    Iterator<MentionContext> ei = extents.iterator();
    MentionContext ex = (MentionContext) ei.next();
    StringBuffer de = new StringBuffer();
    de.append("[ ").append(ex.toText());//.append("<").append(ex.getHeadText()).append(">");
    while (ei.hasNext()) {
      ex = (MentionContext) ei.next();
      de.append(", ").append(ex.toText());//.append("<").append(ex.getHeadText()).append(">");
    }
    de.append(" ]");
    return(de.toString());
  }
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    parseMap = new HashMap<Parse,Integer>();
    for (int ei = 0, en = entities.length; ei < en; ei++) {
      if (entities[ei].getNumMentions() > 1) {
        for (@SuppressWarnings("unchecked")
        Iterator<MentionContext> mi = entities[ei].getMentions(); mi.hasNext();) {
          MentionContext mc = mi.next();
          Parse mentionParse = ((DefaultParse) mc.getParse())
              .getParse();
          parseMap.put(mentionParse, new Integer(ei + 1));
          // System.err.println("CorefParse: "+mc.getParse().hashCode()+" -> "+
          // (ei+1));
        }
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Related Classes of opennlp.tools.coref.mention.MentionContext

  • net.sf.nlpshell.CorefParse
  • opennlp.tools.cmdline.coref.CoreferencerTool$CorefParse
  • opennlp.tools.coref.AbstractLinker
  • opennlp.tools.coref.DiscourseElement
  • opennlp.tools.coref.resolver.AbstractResolver
  • opennlp.tools.coref.resolver.CommonNounResolver
  • opennlp.tools.coref.resolver.IsAResolver
  • opennlp.tools.coref.resolver.MaxentResolver
  • opennlp.tools.coref.resolver.PluralNounResolver
  • opennlp.tools.coref.resolver.PluralPronounResolver
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