/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package opennlp.tools.coref.resolver;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.regex.Pattern;
import opennlp.tools.coref.DiscourseEntity;
import opennlp.tools.coref.mention.MentionContext;
/**
* This class resolver singular pronouns such as "he", "she", "it" and their various forms.
*/
public class SingularPronounResolver extends MaxentResolver {
int mode;
Pattern PronounPattern;
public SingularPronounResolver(String projectName, ResolverMode m) throws IOException {
super(projectName, "pmodel", m, 30);
this.numSentencesBack = 2;
}
public SingularPronounResolver(String projectName, ResolverMode m, NonReferentialResolver nonReferentialResolver) throws IOException {
super(projectName, "pmodel", m, 30,nonReferentialResolver);
this.numSentencesBack = 2;
}
public boolean canResolve(MentionContext mention) {
//System.err.println("MaxentSingularPronounResolver.canResolve: ec= ("+mention.id+") "+ mention.toText());
String tag = mention.getHeadTokenTag();
return (tag != null && tag.startsWith("PRP") && ResolverUtils.singularThirdPersonPronounPattern.matcher(mention.getHeadTokenText()).matches());
}
@Override
protected List<String> getFeatures(MentionContext mention, DiscourseEntity entity) {
List<String> features = new ArrayList<String>();
features.addAll(super.getFeatures(mention, entity));
if (entity != null) { //generate pronoun w/ referent features
MentionContext cec = entity.getLastExtent();
//String gen = getPronounGender(pronoun);
features.addAll(ResolverUtils.getPronounMatchFeatures(mention,entity));
features.addAll(ResolverUtils.getContextFeatures(cec));
features.addAll(ResolverUtils.getDistanceFeatures(mention,entity));
features.add(ResolverUtils.getMentionCountFeature(entity));
/*
//lexical features
Set featureSet = new HashSet();
for (Iterator ei = entity.getExtents(); ei.hasNext();) {
MentionContext ec = (MentionContext) ei.next();
List toks = ec.tokens;
Parse tok;
int headIndex = PTBHeadFinder.getInstance().getHeadIndex(toks);
for (int ti = 0; ti < headIndex; ti++) {
tok = (Parse) toks.get(ti);
featureSet.add(gen + "mw=" + tok.toString().toLowerCase());
featureSet.add(gen + "mt=" + tok.getSyntacticType());
}
tok = (Parse) toks.get(headIndex);
featureSet.add(gen + "hw=" + tok.toString().toLowerCase());
featureSet.add(gen + "ht=" + tok.getSyntacticType());
//semantic features
if (ec.neType != null) {
featureSet.add(gen + "," + ec.neType);
}
else {
for (Iterator si = ec.synsets.iterator(); si.hasNext();) {
Integer synset = (Integer) si.next();
featureSet.add(gen + "," + synset);
}
}
}
Iterator fset = featureSet.iterator();
while (fset.hasNext()) {
String f = (String) fset.next();
features.add(f);
}
*/
}
return (features);
}
@Override
public boolean excluded(MentionContext mention, DiscourseEntity entity) {
if (super.excluded(mention, entity)) {
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);
}
}
}
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);
}
}