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/*
* 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.disambiguator;
import java.io.File;
import java.util.ArrayList;
import opennlp.tools.disambiguator.datareader.SensevalReader;
import opennlp.tools.disambiguator.ims.IMS;
import opennlp.tools.disambiguator.ims.IMSParameters;
import opennlp.tools.disambiguator.ims.WTDIMS;
import org.junit.Test;
public class IMSEvaluatorTest {
static SensevalReader seReader = new SensevalReader();
@Test
public static void main(String[] args) {
Constants.print("Evaluation Started");
IMS ims = new IMS();
IMSParameters imsParams = new IMSParameters();
ims.setParams(imsParams);
ArrayList<String> words = seReader.getSensevalWords();
for (String word : words) {
WSDEvaluator evaluator = new WSDEvaluator(ims);
// don't take verbs because they are not from WordNet
if (!word.split("\\.")[1].equals("v")) {
ArrayList<WTDIMS> instances = getTestData(word);
if (instances != null) {
Constants.print("------------------" + word + "------------------");
for (WordToDisambiguate instance : instances) {
// Constants.print("sense IDs : " + instance.senseIDs);
evaluator.evaluateSample(instance);
}
Constants.print(evaluator.toString());
} else {
Constants.print("null instances");
}
}
}
}
/**
* For a specific word, return the Semeval3 corresponding instances in form of
* {@link WSDIMS}
*
* @param wordTag
* the word of which the instances are to be collected. wordTag has
* to be in the format "word.POS" (e.g., "activate.v", "smart.a",
* etc.)
* @return list of {@link WSDIMS} instances of the wordTag
*/
protected static ArrayList<WTDIMS> getTestData(String wordTag) {
ArrayList<WTDIMS> instances = new ArrayList<WTDIMS>();
for (WordToDisambiguate wtd : seReader.getSensevalData(wordTag)) {
WTDIMS wtdims = new WTDIMS(wtd);
instances.add(wtdims);
}
return instances;
}
}