Package opennlp.tools.coref.mention

Examples of opennlp.tools.coref.mention.MentionContext

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      return (true);
    }
    String mentionGender = null;

    for (Iterator<MentionContext> ei = entity.getMentions(); ei.hasNext();) {
      MentionContext entityMention = ei.next();
      String tag = entityMention.getHeadTokenTag();
      if (tag != null && tag.startsWith("PRP") && ResolverUtils.singularThirdPersonPronounPattern.matcher(mention.getHeadTokenText()).matches()) {
        if (mentionGender == null) { //lazy initialization
          mentionGender = ResolverUtils.getPronounGender(mention.getHeadTokenText());
        }
        String entityGender = ResolverUtils.getPronounGender(entityMention.getHeadTokenText());
        if (!entityGender.equals("u") && !mentionGender.equals(entityGender)) {
          return (true);
        }
      }
    }
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    return (false);
  }

  @Override
  protected boolean outOfRange(MentionContext mention, DiscourseEntity entity) {
    MentionContext cec = entity.getLastExtent();
    //System.err.println("MaxentSingularPronounresolve.outOfRange: ["+entity.getLastExtent().toText()+" ("+entity.getId()+")] ["+mention.toText()+" ("+mention.getId()+")] entity.sentenceNumber=("+entity.getLastExtent().getSentenceNumber()+")-mention.sentenceNumber=("+mention.getSentenceNumber()+") > "+numSentencesBack);
    return (mention.getSentenceNumber() - cec.getSentenceNumber() > numSentencesBack);
  }
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    List<String> features = new ArrayList<String>();
    features.addAll(super.getFeatures(mention, entity));
    if (entity != null) {
      features.addAll(ResolverUtils.getPronounMatchFeatures(mention,entity));
      List<String> contexts = ResolverUtils.getContextFeatures(mention);
      MentionContext cec = entity.getLastExtent();
      if (mention.getHeadTokenTag().startsWith("PRP") && cec.getHeadTokenTag().startsWith("PRP")) {
        features.add(mention.getHeadTokenText() + "," + cec.getHeadTokenText());
      }
      else if (mention.getHeadTokenText().startsWith("NNP")) {
        for (int ci = 0, cl = contexts.size(); ci < cl; ci++) {
          features.add(contexts.get(ci));
        }
        features.add(mention.getNameType() + "," + cec.getHeadTokenText());
      }
      else {
        List<String> ccontexts = ResolverUtils.getContextFeatures(cec);
        for (int ci = 0, cl = ccontexts.size(); ci < cl; ci++) {
          features.add(ccontexts.get(ci));
        }
        features.add(cec.getNameType() + "," + mention.getHeadTokenText());
      }
    }
    return (features);
  }
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    return (features);
  }

  @Override
  protected boolean outOfRange(MentionContext mention, DiscourseEntity entity) {
    MentionContext cec = entity.getLastExtent();
    return (mention.getSentenceNumber() - cec.getSentenceNumber() > numSentencesBack);
  }
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  @Override
  protected boolean excluded(MentionContext mention, DiscourseEntity entity) {
    if (super.excluded(mention, entity)) {
      return true;
    }
    MentionContext cec = entity.getLastExtent();
    if (!canResolve(cec)) {
      return true;
    }
    if (mention.getHeadTokenTag().startsWith("NNP")) { //mention is a propernoun
      if (cec.getHeadTokenTag().startsWith("NNP")) {
        return true; // both NNP
      }
      else {
        if (entity.getNumMentions() > 1) {
          return true;
        }
        return !canResolve(cec);
      }
    }
    else if (mention.getHeadTokenTag().startsWith("PRP")){ // mention is a speech pronoun
      // cec can be either a speech pronoun or a propernoun
      if (cec.getHeadTokenTag().startsWith("NNP")) {
        //exclude antecedents not in the same sentence when they are not pronoun
        return (mention.getSentenceNumber() - cec.getSentenceNumber() != 0);
      }
      else if (cec.getHeadTokenTag().startsWith("PRP")){
        return false;
      }
      else {
        System.err.println("Unexpected candidate exluded: "+cec.toText());
        return true;
      }
    }
    else {
      System.err.println("Unexpected mention exluded: "+mention.toText());
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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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   * @param entity The entity to which the mention is to be resolved.
   *
   * @return true if the entity should be excluded, false otherwise.
   */
  protected boolean excluded(MentionContext mention, DiscourseEntity entity) {
    MentionContext cec = entity.getLastExtent();
    return mention.getSentenceNumber() == cec.getSentenceNumber() &&
     mention.getIndexSpan().getEnd() <= cec.getIndexSpan().getEnd();
  }
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    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;
      }
    }
    //System.err.println("AbstractResolver.retain: non-refering entity with id: "+ec.toText()+" id="+ec.id);
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    return false;
  }

  @Override
  protected boolean excluded(MentionContext ec, DiscourseEntity de) {
    MentionContext cec = de.getLastExtent();
    //System.err.println("IsAResolver.excluded?: ec.span="+ec.getSpan()+" cec.span="+cec.getSpan()+" cec="+cec.toText()+" lastToken="+ec.getNextToken());
    if (ec.getSentenceNumber() != cec.getSentenceNumber()) {
      //System.err.println("IsAResolver.excluded: (true) not same sentence");
      return (true);
    }
    //shallow parse appositives
    //System.err.println("IsAResolver.excluded: ec="+ec.toText()+" "+ec.span+" cec="+cec.toText()+" "+cec.span);
    if (cec.getIndexSpan().getEnd() == ec.getIndexSpan().getStart() - 2) {
      return (false);
    }
    //full parse w/o trailing comma
    if (cec.getIndexSpan().getEnd() == ec.getIndexSpan().getEnd()) {
      //System.err.println("IsAResolver.excluded: (false) spans share end");
      return (false);
    }
    //full parse w/ trailing comma or period
    if (cec.getIndexSpan().getEnd() <= ec.getIndexSpan().getEnd() + 2 && (ec.getNextToken() != null && (ec.getNextToken().toString().equals(",") || ec.getNextToken().toString().equals(".")))) {
      //System.err.println("IsAResolver.excluded: (false) spans end + punct");
      return (false);
    }
    //System.err.println("IsAResolver.excluded: (true) default");
    return (true);
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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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