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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.ims;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import opennlp.tools.disambiguator.FeaturesExtractor;
import opennlp.tools.disambiguator.ims.WTDIMS;
/**
* The default Context Generator of IMS
*/
public class DefaultIMSContextGenerator implements IMSContextGenerator {
FeaturesExtractor fExtractor = new FeaturesExtractor();
public DefaultIMSContextGenerator() {
}
/**
* Get Context of a word To disambiguate
*
* @param word
* : the word to disambiguate in the format {@link WTDIMS}
* @return The IMS context of the word to disambiguate
*/
@Override
public String[] getContext(WTDIMS word) {
return word.getFeatures();
}
/**
* This methods gives the list of features for the object of type WTDIMS
* Extensions of this class can override this method to create a customized
* {@link IMSContextGenerator}
*
* @param word
* : the word to disambiguate {@link WTDIMS} along with its sentence
* [Check the Class WTDIMS]
* @param numberOfSurroundingWords
* : the number of surrounding words used in the feature
* "POS Tags of Surrounding Words" Default value is 3
* @param ngram
* : the number of words used to extract the feature
* "Local Collocations" Default value is 2
*
* @return an {@link ArrayList} of features
*/
protected List<String> createContext(WTDIMS word) {
return Arrays.asList(getContext(word));
}
}