Package opennlp.tools.coref.mention

Examples of opennlp.tools.coref.mention.MentionContext

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  public boolean excluded(MentionContext mention, DiscourseEntity entity) {
    if (super.excluded(mention, entity)) {
      return (true);
    }
    for (Iterator ei = entity.getMentions(); ei.hasNext();) {
      MentionContext xec = (MentionContext) ei.next();
      if (xec.getHeadTokenTag().startsWith("NNP")) { // || initialCaps.matcher(xec.headToken.toString()).find()) {
        //System.err.println("MaxentProperNounResolver.exclude: kept "+xec.toText()+" with "+xec.headTag);
        return (false);
      }
    }
    return (true);
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    List features = new ArrayList();
    features.addAll(super.getFeatures(mention,entity));
    //features.add("eid="+pc.id);
    if (entity != null) { //generate pronoun w/ referent features
      features.addAll(getPronounMatchFeatures(mention,entity));
      MentionContext cec = entity.getLastExtent();     
      features.addAll(getDistanceFeatures(mention,entity));
      features.addAll(getContextFeatures(cec));
      features.add(getMentionCountFeature(entity));
      /*
      //lexical features
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    }
    return (features);
  }
 
  protected boolean outOfRange(MentionContext mention, DiscourseEntity entity) {
    MentionContext cec = entity.getLastExtent();
    //System.err.println("MaxentPluralPronounResolver.outOfRange: ["+ec.toText()+" ("+ec.id+")] ["+cec.toText()+" ("+cec.id+")] ec.sentenceNumber=("+ec.sentenceNumber+")-cec.sentenceNumber=("+cec.sentenceNumber+") > "+NUM_SENTS_BACK_PRONOUNS);   
    return (mention.getSentenceNumber() - cec.getSentenceNumber() > NUM_SENTS_BACK_PRONOUNS);
  }
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  protected boolean excluded(MentionContext ec, DiscourseEntity de) {
    if (super.excluded(ec, de)) {
      return true;
    }
    else {
      MentionContext cec = de.getLastExtent();
      return (!canResolve(cec) || super.excluded(ec, de));
    }
  }
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    this.parses = parses;
    parseMap = new HashMap<Parse, Integer>();
    for (int ei=0,en=entities.length;ei<en;ei++) {
      if (entities[ei].getNumMentions() > 1) {
        for (Iterator<MentionContext> mi = entities[ei].getMentions(); mi.hasNext();) {
          MentionContext mc = mi.next();
          Parse mentionParse = ((DefaultParse) mc.getParse()).getParse();
          parseMap.put(mentionParse,ei+1);
          //System.err.println("CorefParse: "+mc.getParse().hashCode()+" -> "+ (ei+1));
        }
      }
    }
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  }

  @Override
  public String toString() {
    Iterator<MentionContext> ei = extents.iterator();
    MentionContext ex = ei.next();
    StringBuilder de = new StringBuilder();
    de.append("[ ").append(ex.toText());//.append("<").append(ex.getHeadText()).append(">");
    while (ei.hasNext()) {
      ex = ei.next();
      de.append(", ").append(ex.toText());//.append("<").append(ex.getHeadText()).append(">");
    }
    de.append(" ]");
    return(de.toString());
  }
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      this.parses = parses;
      parseMap = new HashMap<Parse, Integer>();
      for (int ei=0,en=entities.length;ei<en;ei++) {
        if (entities[ei].getNumMentions() > 1) {
          for (Iterator<MentionContext> mi = entities[ei].getMentions(); mi.hasNext();) {
            MentionContext mc = mi.next();
            Parse mentionParse = ((DefaultParse) mc.getParse()).getParse();
            parseMap.put(mentionParse,ei+1);
          }
        }
      }
    }
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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(ei);
        return cde;
      }
    }
    //System.err.println("AbstractResolver.retain: non-refering entity with id: "+ec.toText()+" id="+ec.id);
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    Parse[] mtokens = mention.getTokenParses();
    Set<String> ecModSet = constructModifierSet(mtokens, mention.getHeadTokenIndex());
    String mentionHeadString = mention.getHeadTokenText().toLowerCase();
    Set<String> featureSet = new HashSet<String>();
    for (Iterator<MentionContext> ei = entity.getMentions(); ei.hasNext();) {
      MentionContext entityMention = ei.next();
      String exactMatchFeature = getExactMatchFeature(entityMention, mention);
      if (exactMatchFeature != null) {
        featureSet.add(exactMatchFeature);
      }
      else if (entityMention.getParse().isCoordinatedNounPhrase() && !mention.getParse().isCoordinatedNounPhrase()) {
        featureSet.add("cmix");
      }
      else {
        String mentionStrip = stripNp(mention);
        String entityMentionStrip = stripNp(entityMention);
        if (mentionStrip != null && entityMentionStrip != null) {
          if (isSubstring(mentionStrip, entityMentionStrip)) {
            featureSet.add("substring");
          }
        }
      }
      Parse[] xtoks = entityMention.getTokenParses();
      int headIndex = entityMention.getHeadTokenIndex();
      //if (!mention.getHeadTokenTag().equals(entityMention.getHeadTokenTag())) {
      //  //System.err.println("skipping "+mention.headTokenText+" with "+xec.headTokenText+" because "+mention.headTokenTag+" != "+xec.headTokenTag);
      //  continue;
      //}  want to match NN NNP
      String entityMentionHeadString = entityMention.getHeadTokenText().toLowerCase();
      // model lexical similarity
      if (mentionHeadString.equals(entityMentionHeadString)) {
        sameHead = true;
        featureSet.add("hds=" + mentionHeadString);
        if (!modsMatch || !nonTheModsMatch) { //only check if we haven't already found one which is the same
          modsMatch = true;
          nonTheModsMatch = true;
          Set<String> entityMentionModifierSet = constructModifierSet(xtoks, headIndex);
          for (Iterator<String> mi = ecModSet.iterator(); mi.hasNext();) {
            String mw = mi.next();
            if (!entityMentionModifierSet.contains(mw)) {
              modsMatch = false;
              if (!mw.equals("the")) {
                nonTheModsMatch = false;
                featureSet.add("mmw=" + mw);
              }
            }
          }
        }
      }
      Set<String> descModSet = constructModifierSet(xtoks, entityMention.getNonDescriptorStart());
      if (descModSet.contains(mentionHeadString)) {
        titleMatch = true;
      }
    }
    if (!featureSet.isEmpty()) {
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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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