org.dkpro.similarity.experiments.sts2013.util.WordIdfValuesGenerator.java Source code

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Here is the source code for org.dkpro.similarity.experiments.sts2013.util.WordIdfValuesGenerator.java

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/*******************************************************************************
 * Copyright 2013
 * Ubiquitous Knowledge Processing (UKP) Lab
 * Technische Universitt Darmstadt
 *
 * All rights reserved. This program and the accompanying materials
 * are made available under the terms of the GNU Public License v3.0
 * which accompanies this distribution, and is available at
 * http://www.gnu.org/licenses/gpl-3.0.txt
 ******************************************************************************/
package org.dkpro.similarity.experiments.sts2013.util;

import static org.apache.uima.fit.factory.AnalysisEngineFactory.createEngineDescription;
import static org.dkpro.similarity.experiments.sts2013.Pipeline.DATASET_DIR;
import static org.dkpro.similarity.experiments.sts2013.Pipeline.UTILS_DIR;

import java.io.File;
import java.net.URL;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;

import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
import org.apache.uima.analysis_engine.AnalysisEngine;
import org.apache.uima.analysis_engine.AnalysisEngineDescription;
import org.apache.uima.fit.factory.AnalysisEngineFactory;
import org.apache.uima.fit.util.JCasUtil;
import org.apache.uima.jcas.JCas;
import org.dkpro.similarity.experiments.sts2013.Pipeline.Dataset;
import org.dkpro.similarity.experiments.sts2013.Pipeline.Mode;

import de.tudarmstadt.ukp.dkpro.core.api.resources.ResourceUtils;
import de.tudarmstadt.ukp.dkpro.core.api.segmentation.type.Lemma;
import de.tudarmstadt.ukp.dkpro.core.opennlp.OpenNlpPosTagger;
import de.tudarmstadt.ukp.dkpro.core.stanfordnlp.StanfordLemmatizer;
import de.tudarmstadt.ukp.dkpro.core.tokit.BreakIteratorSegmenter;

public class WordIdfValuesGenerator {
    static final String LF = System.getProperty("line.separator");

    public static void computeIdfScores(Mode mode, Dataset dataset) throws Exception {
        URL inputUrl = ResourceUtils.resolveLocation(
                DATASET_DIR + "/" + mode.toString().toLowerCase() + "/STS.input." + dataset.toString() + ".txt");
        List<String> lines = IOUtils.readLines(inputUrl.openStream(), "utf-8");

        Map<String, Double> idfValues = new HashMap<String, Double>();

        File outputFile = new File(
                UTILS_DIR + "/word-idf/" + mode.toString().toLowerCase() + "/" + dataset.toString() + ".txt");

        System.out.println("Computing word idf values");

        if (outputFile.exists()) {
            System.out.println(" - skipping, already exists");
        } else {
            System.out.println(" - this may take a while...");

            // Build up token representations of texts
            Set<List<String>> docs = new HashSet<List<String>>();

            for (String line : lines) {
                List<String> doc = new ArrayList<String>();

                Collection<Lemma> lemmas = getLemmas(line);

                for (Lemma lemma : lemmas) {
                    try {
                        String token = lemma.getValue().toLowerCase();
                        doc.add(token);
                    } catch (NullPointerException e) {
                        System.err.println(" - unparsable token: " + lemma.getCoveredText());
                    }
                }

                docs.add(doc);
            }

            // Get the shared token list
            Set<String> tokens = new HashSet<String>();
            for (List<String> doc : docs) {
                tokens.addAll(doc);
            }

            // Get the idf numbers
            for (String token : tokens) {
                double count = 0;
                for (List<String> doc : docs) {
                    if (doc.contains(token)) {
                        count++;
                    }
                }
                idfValues.put(token, count);
            }

            // Compute the idf
            for (String lemma : idfValues.keySet()) {
                double idf = Math.log10(lines.size() / idfValues.get(lemma));
                idfValues.put(lemma, idf);
            }

            // Store persistently
            StringBuilder sb = new StringBuilder();
            for (String key : idfValues.keySet()) {
                sb.append(key + "\t" + idfValues.get(key) + LF);
            }
            FileUtils.writeStringToFile(outputFile, sb.toString());

            System.out.println(" - done");
        }
    }

    private static Collection<Lemma> getLemmas(String fileContents) throws Exception {
        AnalysisEngineDescription aed = createEngineDescription(
                createEngineDescription(BreakIteratorSegmenter.class),
                createEngineDescription(OpenNlpPosTagger.class, OpenNlpPosTagger.PARAM_LANGUAGE, "en"),
                createEngineDescription(StanfordLemmatizer.class));
        AnalysisEngine ae = AnalysisEngineFactory.createEngine(aed);

        JCas jcas = ae.newJCas();
        jcas.setDocumentText(fileContents);

        ae.process(jcas);

        Collection<Lemma> lemmas = JCasUtil.select(jcas, Lemma.class);

        return lemmas;
    }
}