/*
* 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;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Stack;
import opennlp.tools.coref.mention.DefaultParse;
import opennlp.tools.coref.mention.Mention;
import opennlp.tools.coref.mention.MentionContext;
import opennlp.tools.coref.mention.MentionFinder;
import opennlp.tools.coref.resolver.MaxentResolver;
import opennlp.tools.coref.sim.GenderModel;
import opennlp.tools.coref.sim.NumberModel;
import opennlp.tools.coref.sim.SimilarityModel;
import opennlp.tools.coref.sim.TrainSimilarityModel;
import opennlp.tools.parser.Parse;
import opennlp.tools.util.ObjectStream;
public class CorefTrainer {
private static boolean containsToken(String token, Parse p) {
for (Parse node : p.getTagNodes()) {
if (node.getCoveredText().equals(token))
return true;
}
return false;
}
private static Mention[] getMentions(CorefSample sample, MentionFinder mentionFinder) {
List<Mention> mentions = new ArrayList<Mention>();
for (opennlp.tools.coref.mention.Parse corefParse : sample.getParses()) {
Parse p = ((DefaultParse) corefParse).getParse();
Mention extents[] = mentionFinder.getMentions(corefParse);
for (int ei = 0, en = extents.length; ei < en;ei++) {
if (extents[ei].getParse() == null) {
Stack<Parse> nodes = new Stack<Parse>();
nodes.add(p);
while (!nodes.isEmpty()) {
Parse node = nodes.pop();
if (node.getSpan().equals(extents[ei].getSpan()) && node.getType().startsWith("NML")) {
DefaultParse corefParseNode = new DefaultParse(node, corefParse.getSentenceNumber());
extents[ei].setParse(corefParseNode);
extents[ei].setId(corefParseNode.getEntityId());
break;
}
nodes.addAll(Arrays.asList(node.getChildren()));
}
}
}
mentions.addAll(Arrays.asList(extents));
}
return mentions.toArray(new Mention[mentions.size()]);
}
public static void train(String modelDirectory, ObjectStream<CorefSample> samples,
boolean useTreebank, boolean useDiscourseModel) throws IOException {
TrainSimilarityModel simTrain = SimilarityModel.trainModel(modelDirectory + "/coref/sim");
TrainSimilarityModel genTrain = GenderModel.trainModel(modelDirectory + "/coref/gen");
TrainSimilarityModel numTrain = NumberModel.trainModel(modelDirectory + "/coref/num");
useTreebank = true;
Linker simLinker;
if (useTreebank) {
simLinker = new TreebankLinker(modelDirectory + "/coref/", LinkerMode.SIM);
}
else {
simLinker = new DefaultLinker(modelDirectory + "/coref/" ,LinkerMode.SIM);
}
// TODO: Feed with training data ...
for (CorefSample sample = samples.read(); sample != null; sample = samples.read()) {
Mention[] mentions = getMentions(sample, simLinker.getMentionFinder());
MentionContext[] extentContexts = simLinker.constructMentionContexts(mentions);
simTrain.setExtents(extentContexts);
genTrain.setExtents(extentContexts);
numTrain.setExtents(extentContexts);
}
simTrain.trainModel();
genTrain.trainModel();
numTrain.trainModel();
MaxentResolver.setSimilarityModel(SimilarityModel.testModel(modelDirectory + "/coref"+"/sim"));
// Done with similarity training
// Now train the linkers
// Training data needs to be read in again and the stream must be reset
samples.reset();
// Now train linkers
Linker trainLinker;
if (useTreebank) {
trainLinker = new TreebankLinker(modelDirectory + "/coref/", LinkerMode.TRAIN, useDiscourseModel);
}
else {
trainLinker = new DefaultLinker(modelDirectory + "/coref/", LinkerMode.TRAIN, useDiscourseModel);
}
for (CorefSample sample = samples.read(); sample != null; sample = samples.read()) {
Mention[] mentions = getMentions(sample, trainLinker.getMentionFinder());
trainLinker.setEntities(mentions);
}
trainLinker.train();
}
}