blob: a84ebb81998639f9eeb9b6ea1f230f356be8d1c0 [file] [log] [blame]
/*
* 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.namefind;
import opennlp.tools.util.Span;
import opennlp.tools.util.eval.Evaluator;
import opennlp.tools.util.eval.FMeasure;
/**
* The {@link TokenNameFinderEvaluator} measures the performance
* of the given {@link TokenNameFinder} with the provided
* reference {@link NameSample}s.
*
* @see Evaluator
* @see TokenNameFinder
* @see NameSample
*/
public class TokenNameFinderEvaluator extends Evaluator<NameSample> {
private FMeasure fmeasure = new FMeasure();
/**
* The {@link TokenNameFinder} used to create the predicted
* {@link NameSample} objects.
*/
private TokenNameFinder nameFinder;
/**
* Initializes the current instance with the given
* {@link TokenNameFinder}.
*
* @param nameFinder the {@link TokenNameFinder} to evaluate.
* @param listeners evaluation sample listeners
*/
public TokenNameFinderEvaluator(TokenNameFinder nameFinder,
TokenNameFinderEvaluationMonitor ... listeners) {
super(listeners);
this.nameFinder = nameFinder;
}
/**
* Evaluates the given reference {@link NameSample} object.
*
* This is done by finding the names with the
* {@link TokenNameFinder} in the sentence from the reference
* {@link NameSample}. The found names are then used to
* calculate and update the scores.
*
* @param reference the reference {@link NameSample}.
*
* @return the predicted {@link NameSample}.
*/
@Override
protected NameSample processSample(NameSample reference) {
if (reference.isClearAdaptiveDataSet()) {
nameFinder.clearAdaptiveData();
}
Span[] predictedNames = nameFinder.find(reference.getSentence());
Span[] references = reference.getNames();
// OPENNLP-396 When evaluating with a file in the old format
// the type of the span is null, but must be set to default to match
// the output of the name finder.
for (int i = 0; i < references.length; i++) {
if (references[i].getType() == null) {
references[i] = new Span(references[i].getStart(), references[i].getEnd(), "default");
}
}
fmeasure.updateScores(references, predictedNames);
return new NameSample(reference.getSentence(), predictedNames, reference.isClearAdaptiveDataSet());
}
public FMeasure getFMeasure() {
return fmeasure;
}
}