Examples of MentionContext

opennlp.tools.coref.mention.MentionContext
Data structure representation of a mention with additional contextual information. The contextual information is used in performing coreference resolution.

Examples of opennlp.tools.coref.mention.MentionContext

    return (true);
  }


  @Override
  protected boolean outOfRange(MentionContext ec, DiscourseEntity de) {
    MentionContext cec = de.getLastExtent();
    return (cec.getSentenceNumber() != ec.getSentenceNumber());
  }

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Examples of opennlp.tools.coref.mention.MentionContext

  @Override
  protected List<String> getFeatures(MentionContext mention, DiscourseEntity entity) {
    List<String> features = new ArrayList<String>();
    features.addAll(super.getFeatures(mention, entity));
    if (entity != null) {
      MentionContext ant = entity.getLastExtent();
      List<String> leftContexts = ResolverUtils.getContextFeatures(ant);
      for (int ci = 0, cn = leftContexts.size(); ci < cn; ci++) {
        features.add("l" + leftContexts.get(ci));
      }
      List<String> rightContexts = ResolverUtils.getContextFeatures(mention);
      for (int ci = 0, cn = rightContexts.size(); ci < cn; ci++) {
        features.add("r" + rightContexts.get(ci));
      }
      features.add("hts"+ant.getHeadTokenTag()+","+mention.getHeadTokenTag());
    }
    /*
    if (entity != null) {
      //System.err.println("MaxentIsResolver.getFeatures: ["+ec2.toText()+"] -> ["+de.getLastExtent().toText()+"]");
      //previous word and tag

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Examples of opennlp.tools.coref.mention.MentionContext

    }
    return false;
  }


  protected List<String> getAcronymFeatures(MentionContext mention, DiscourseEntity entity) {
    MentionContext xec = ResolverUtils.getProperNounExtent(entity);
    String ecStrip = ResolverUtils.stripNp(mention);
    String xecStrip = ResolverUtils.stripNp(xec);
    if (ecStrip != null && xecStrip != null) {
      if (isAcronym(ecStrip, xecStrip)) {
        List<String> features = new ArrayList<String>(1);

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Examples of opennlp.tools.coref.mention.MentionContext

    if (super.excluded(mention, entity)) {
      return true;
    }


    for (Iterator<MentionContext> ei = entity.getMentions(); ei.hasNext();) {
      MentionContext xec = 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;
      }
    }

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Examples of opennlp.tools.coref.mention.MentionContext

    List<String> features = new ArrayList<String>();
    features.addAll(super.getFeatures(mention,entity));
    //features.add("eid="+pc.id);
    if (entity != null) { //generate pronoun w/ referent features
      features.addAll(ResolverUtils.getPronounMatchFeatures(mention,entity));
      MentionContext cec = entity.getLastExtent();
      features.addAll(ResolverUtils.getDistanceFeatures(mention,entity));
      features.addAll(ResolverUtils.getContextFeatures(cec));
      features.add(ResolverUtils.getMentionCountFeature(entity));
      /*
      //lexical features

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Examples of opennlp.tools.coref.mention.MentionContext

    return (features);
  }


  @Override
  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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Examples of opennlp.tools.coref.mention.MentionContext

  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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Examples of opennlp.tools.coref.mention.MentionContext

    return(id);
  }


  public String toString() {
    Iterator 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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Examples of opennlp.tools.coref.mention.MentionContext

            break;
          }
          numMentionsInSentence++;
        }
      }
      contexts[mi]=new MentionContext(mentions[mi], mentionInSentenceIndex, numMentionsInSentence, mi, sentenceIndex, getHeadFinder());
      //System.err.println("AbstractLinker.constructMentionContexts: mi="+mi+" sn="+mentionParse.getSentenceNumber()+" extent="+mentions[mi]+" parse="+mentionParse.getSpan()+" mc="+contexts[mi].toText());
      contexts[mi].setId(mentions[mi].getId());
      mentionInSentenceIndex++;
      if (mode != LinkerMode.SIM) {
        Gender g  = computeGender(contexts[mi]);

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Examples of opennlp.tools.coref.mention.MentionContext

    }
    return (features);
  }


  protected boolean outOfRange(MentionContext mention, DiscourseEntity entity) {
    MentionContext cec = entity.getLastExtent();
    return (mention.getSentenceNumber() - cec.getSentenceNumber() > numSentencesBack);
  }

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