edu.stanford.nlp.coref.statistical.MetadataWriter Maven / Gradle / Ivy

Show more of this group Show more artifacts with this name
Show all versions of stanford-corenlp Show documentation

Stanford CoreNLP provides a set of natural language analysis tools which can take raw English language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases and word dependencies, and indicate which noun phrases refer to the same entities. It provides the foundational building blocks for higher level text understanding applications.

There is a newer version: 4.5.7

Show newest version

package edu.stanford.nlp.coref.statistical;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;

import edu.stanford.nlp.coref.CorefDocumentProcessor;
import edu.stanford.nlp.coref.data.CorefCluster;
import edu.stanford.nlp.coref.data.Document;
import edu.stanford.nlp.coref.data.Mention;
import edu.stanford.nlp.io.IOUtils;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.stats.ClassicCounter;
import edu.stanford.nlp.stats.Counter;
import edu.stanford.nlp.util.Pair;

/**
 * Writes various pieces of information about coreference documents to disk.
 * @author Kevin Clark
 */
public class MetadataWriter implements CorefDocumentProcessor {
  private final Map> mentionTypes;
  private final Map>> goldClusters;
  private final Counter wordCounts;
  private final Map, Boolean>> mentionPairs;
  private final boolean countWords;

  public MetadataWriter(boolean countWords) {
    this.countWords = countWords;
    mentionTypes = new HashMap<>();
    goldClusters = new HashMap<>();
    wordCounts = new ClassicCounter<>();
    try {
      mentionPairs = IOUtils.readObjectFromFile(StatisticalCorefTrainer.datasetFile);
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
  }

  @Override
  public void process(int id, Document document) {
    // Mention types
    mentionTypes.put(id, document.predictedMentionsByID.entrySet().stream().collect(
        Collectors.toMap(Map.Entry::getKey, e -> e.getValue().mentionType.toString())));

    // Gold clusters
    List> clusters = new ArrayList<>();
    for (CorefCluster c : document.goldCorefClusters.values()) {
        List cluster = new ArrayList<>();
        for (Mention m : c.getCorefMentions()) {
            cluster.add(m.mentionID);
        }
        clusters.add(cluster);
    }
    goldClusters.put(id, clusters);

    // Word counting
    if (countWords && mentionPairs.containsKey(id)) {
      Set> pairs = mentionPairs.get(id).keySet();
      Set mentions = new HashSet<>();
      for (Pair pair : pairs) {
        mentions.add(pair.first);
        mentions.add(pair.second);
        Mention m1 = document.predictedMentionsByID.get(pair.first);
        Mention m2 = document.predictedMentionsByID.get(pair.second);
        wordCounts.incrementCount("h_" + m1.headWord.word().toLowerCase() + "_"
            + m2.headWord.word().toLowerCase());
      }

      Map> sentences = new HashMap<>();
      for (int mention : mentions) {
        Mention m = document.predictedMentionsByID.get(mention);
        if (!sentences.containsKey(m.sentNum)) {
          sentences.put(m.sentNum, m.sentenceWords);
        }
      }

      for (List sentence : sentences.values()) {
        for (int i = 0; i < sentence.size(); i++) {
          CoreLabel cl = sentence.get(i);
          if (cl == null) {
            continue;
          }
          String w = cl.word().toLowerCase();
          wordCounts.incrementCount(w);
          if (i > 0) {
            CoreLabel clp = sentence.get(i - 1);
            if (clp == null) {
              continue;
            }
            String wp = clp.word().toLowerCase();
            wordCounts.incrementCount(wp + "_" + w);
          }
        }
      }
    }
  }

  @Override
  public void finish() throws Exception {
    IOUtils.writeObjectToFile(mentionTypes, StatisticalCorefTrainer.mentionTypesFile);
    IOUtils.writeObjectToFile(goldClusters, StatisticalCorefTrainer.goldClustersFile);
    if (countWords) {
      IOUtils.writeObjectToFile(wordCounts, StatisticalCorefTrainer.wordCountsFile);
    }
  }
}