Java tutorial
/* * Copyright 2016 * Ubiquitous Knowledge Processing (UKP) Lab * Technische Universitt Darmstadt * * Licensed 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 de.tudarmstadt.ukp.experiments.argumentation.convincingness.features; import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Paragraph; import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Token; import org.apache.commons.io.FileUtils; import org.apache.uima.UimaContext; import org.apache.uima.fit.util.JCasUtil; import org.apache.uima.jcas.JCas; import org.apache.uima.resource.ResourceInitializationException; import java.io.File; import java.io.IOException; import java.util.Collections; import java.util.List; import java.util.Set; import java.util.TreeSet; /** * @author Ivan Habernal */ public class SpellCheckingFeature extends AbstractArgumentPairFeature { private Set<String> vocabulary; @Override public void initialize(UimaContext context) throws ResourceInitializationException { super.initialize(context); try { vocabulary = new TreeSet<String>(); File wordFile = new File("/usr/share/dict/words"); if (!wordFile.exists()) { throw new IOException("File not found " + wordFile); } // load vocabulary vocabulary.addAll(FileUtils.readLines(wordFile, "utf-8")); getLogger().info("Loaded " + vocabulary.size() + " words"); } catch (IOException e) { throw new ResourceInitializationException(e); } } @Override protected List<Feature> extractFeaturesFromArgument(JCas jCas, Paragraph paragraph, String prefix) { List<Token> tokens = JCasUtil.selectCovered(jCas, Token.class, paragraph); int oovWords = 0; for (Token token : tokens) { if (!vocabulary.contains(token.getCoveredText())) { oovWords++; } } return Collections.singletonList(new Feature(prefix + "oovWordsCount", oovWords)); } }