/*
* 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.chunker;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.nio.charset.StandardCharsets;
import org.junit.Assert;
import org.junit.Test;
import opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener;
import opennlp.tools.formats.ResourceAsStreamFactory;
import opennlp.tools.util.PlainTextByLineStream;
import opennlp.tools.util.eval.FMeasure;
/**
* Tests for {@link ChunkerEvaluator}.
*
* @see ChunkerEvaluator
*/
public class ChunkerEvaluatorTest {
private static final double DELTA = 1.0E-9d;
/**
* Checks the evaluator results against the results got using the conlleval,
* available at http://www.cnts.ua.ac.be/conll2000/chunking/output.html
* The output.txt file has only 3 sentences, but can be replaced by the one
* available at the conll2000 site to validate using a bigger sample.
*
* @throws IOException
*/
@Test
public void testEvaluator() throws IOException {
ResourceAsStreamFactory inPredicted = new ResourceAsStreamFactory(
getClass(), "/opennlp/tools/chunker/output.txt");
ResourceAsStreamFactory inExpected = new ResourceAsStreamFactory(getClass(),
"/opennlp/tools/chunker/output.txt");
DummyChunkSampleStream predictedSample = new DummyChunkSampleStream(
new PlainTextByLineStream(inPredicted, StandardCharsets.UTF_8), true);
DummyChunkSampleStream expectedSample = new DummyChunkSampleStream(
new PlainTextByLineStream(inExpected, StandardCharsets.UTF_8), false);
Chunker dummyChunker = new DummyChunker(predictedSample);
OutputStream stream = new ByteArrayOutputStream();
ChunkerEvaluationMonitor listener = new ChunkEvaluationErrorListener(stream);
ChunkerEvaluator evaluator = new ChunkerEvaluator(dummyChunker, listener);
evaluator.evaluate(expectedSample);
FMeasure fm = evaluator.getFMeasure();
Assert.assertEquals(0.8d, fm.getPrecisionScore(), DELTA);
Assert.assertEquals(0.875d, fm.getRecallScore(), DELTA);
Assert.assertNotSame(stream.toString().length(), 0);
}
@Test
public void testEvaluatorNoError() throws IOException {
ResourceAsStreamFactory inPredicted = new ResourceAsStreamFactory(
getClass(), "/opennlp/tools/chunker/output.txt");
ResourceAsStreamFactory inExpected = new ResourceAsStreamFactory(getClass(),
"/opennlp/tools/chunker/output.txt");
DummyChunkSampleStream predictedSample = new DummyChunkSampleStream(
new PlainTextByLineStream(inPredicted, StandardCharsets.UTF_8), true);
DummyChunkSampleStream expectedSample = new DummyChunkSampleStream(
new PlainTextByLineStream(inExpected, StandardCharsets.UTF_8), true);
Chunker dummyChunker = new DummyChunker(predictedSample);
OutputStream stream = new ByteArrayOutputStream();
ChunkerEvaluationMonitor listener = new ChunkEvaluationErrorListener(
stream);
ChunkerEvaluator evaluator = new ChunkerEvaluator(dummyChunker, listener);
evaluator.evaluate(expectedSample);
FMeasure fm = evaluator.getFMeasure();
Assert.assertEquals(1d, fm.getPrecisionScore(), DELTA);
Assert.assertEquals(1d, fm.getRecallScore(), DELTA);
Assert.assertEquals(stream.toString().length(), 0);
}
}