Examples of edu.stanford.nlp.util.CoreMap

edu.stanford.nlp.util.CoreMap

Base type for all annotatable core objects. Should usually be instantiated as {@link ArrayCoreMap}. Many common key definitions live in {@link edu.stanford.nlp.ling.CoreAnnotations}, but others may be defined elsewhere. See {@link edu.stanford.nlp.ling.CoreAnnotations} for details.

Note that implementations of this interface must take care to implement equality correctly: by default, two CoreMaps are .equal if they contain the same keys and all corresponding values are .equal. Subclasses that wish to change this behavior (such as {@link HashableCoreMap}) must make sure that all other CoreMap implementations have a special case in their .equals to use that equality definition when appropriate. Similarly, care must be taken when defining hashcodes. The default hashcode is 37 * sum of all keys' hashcodes plus the sum of all values' hashcodes. However, use of this class as HashMap keys is discouraged because the hashcode can change over time. Consider using a {@link HashableCoreMap}.
@author dramage @author rafferty

      int groupStart = start(group);
      if (groupStart >= last) {
        res.addAll(elements.subList(last,groupStart));
        int groupEnd = end(group);
        if (groupEnd - groupStart >= 1) {
          CoreMap merged = createMergedChunk(groupStart, groupEnd);
          res.add(merged);
          last = groupEnd;
        }
      }
    }

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    return mergeGroup(0);
  }


  private CoreMap createMergedChunk(int groupStart, int groupEnd)
  {
    CoreMap merged = null;
  /*  if (annotation != null) {
      // Take start and end
      merged = ChunkAnnotationUtils.getMergedChunk(elements, annotation.get(CoreAnnotations.TextAnnotation.class), groupStart, groupEnd);
    }  */
    if (merged == null) {

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  private static void recallErrors(List<List<Mention>> goldMentions, List<List<Mention>> predictedMentions, Annotation doc) throws IOException {
    List<CoreMap> coreMaps = doc.get(CoreAnnotations.SentencesAnnotation.class);
    int numSentences = goldMentions.size();
    for (int i=0;i<numSentences;i++){
      CoreMap coreMap = coreMaps.get(i);
      List<CoreLabel> words = coreMap.get(CoreAnnotations.TokensAnnotation.class);
      Tree tree = coreMap.get(TreeCoreAnnotations.TreeAnnotation.class);
      List<Mention> goldMentionsSent = goldMentions.get(i);
      List<Pair<Integer,Integer>> goldMentionsSpans = extractSpans(goldMentionsSent);


      for (Pair<Integer,Integer> mentionSpan: goldMentionsSpans){
        logger.finer("RECALL ERROR\n");

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          mention.originalRef = id;
          newMentionID++;
        }
        if(maxID < mention.mentionID) maxID = mention.mentionID;
        int sentIndex = m.get(CoreAnnotations.SentenceIndexAnnotation.class);
        CoreMap sent = sentences.get(sentIndex);
        mention.startIndex = m.get(CoreAnnotations.TokenBeginAnnotation.class) - sent.get(CoreAnnotations.TokenBeginAnnotation.class);
        mention.endIndex = m.get(CoreAnnotations.TokenEndAnnotation.class) - sent.get(CoreAnnotations.TokenBeginAnnotation.class);


        // will be set by arrange
        mention.originalSpan = m.get(CoreAnnotations.TokensAnnotation.class);


        // Mention dependency is collapsed dependency for sentence

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    // run SUTime
    // note: SUTime requires TextAnnotation to be set at document/sent level and
    //   that the Character*Offset annotations be aligned with the token words.
    //   This is guaranteed because here we work on a copy generated by copyTokens()
    //
    CoreMap timeSentence = (sentence != null ?
        alignSentence(sentence) :
        buildSentenceFromTokens(tokenSequence));
    List<CoreMap> timeExpressions = runSUTime(timeSentence, document);
    List<CoreMap> numbers = timeSentence.get(CoreAnnotations.NumerizedTokensAnnotation.class);


    //
    // store DATE and TIME
    //
    if (timeExpressions != null) {

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    if(text != null){
      // original text is preserved; no need to align anything
      return sentence;
    }


    CoreMap newSentence = buildSentenceFromTokens(
        sentence.get(CoreAnnotations.TokensAnnotation.class),
        sentence.get(CoreAnnotations.CharacterOffsetBeginAnnotation.class),
        sentence.get(CoreAnnotations.CharacterOffsetEndAnnotation.class));


    newSentence.set(CoreAnnotations.TokenBeginAnnotation.class,
        sentence.get(CoreAnnotations.TokenBeginAnnotation.class));
    newSentence.set(CoreAnnotations.TokenEndAnnotation.class,
        sentence.get(CoreAnnotations.TokenEndAnnotation.class));


    return newSentence;
  }

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    return labels;
  }


  static public CoreMap makeSentenceCoreMap(String sentence){
    List<CoreLabel> tokens = makeSentence(sentence);
    CoreMap map = new ArrayCoreMap(1);
    map.set(CoreAnnotations.TokensAnnotation.class, tokens);
    return map;
  }

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  /**
   * Test that the tagger correctly handles getting a single sentence
   * in the WordsPLAnnotation
   */
  public void testWordsPLAnnotation() {
    CoreMap sent = makeSentenceCoreMap(testSentences[0]);
    List<CoreMap> sentences = new ArrayList<CoreMap>();
    sentences.add(sent);


    Annotation annotation = new Annotation(shortText);
    annotation.set(CoreAnnotations.SentencesAnnotation.class, sentences );

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  /**
   * Test that it also works when you give it multiple sentences
   */
  public void testMultipleWordsPLAnnotation() {
    CoreMap firstLabels = makeSentenceCoreMap(testSentences[0]);
    CoreMap secondLabels = makeSentenceCoreMap(testSentences[1]);
    List<CoreMap> sentences = new ArrayList<CoreMap>();
    sentences.add(firstLabels);
    sentences.add(secondLabels);


    Annotation annotation = new Annotation(longText);

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   * Test that a single sentence works for the SentenceAnnotation
   */
  public void testSentencesAnnotation() {
    List<CoreLabel> labels = makeSentence(testSentences[0]);


    CoreMap sentence = new ArrayCoreMap();
    sentence.set(CoreAnnotations.TokensAnnotation.class, labels);
    List<CoreMap> sentences = new ArrayList<CoreMap>();
    sentences.add(sentence);
    
    Annotation annotation = new Annotation(shortText);
    annotation.set(CoreAnnotations.SentencesAnnotation.class, sentences);

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Related Classes of edu.stanford.nlp.util.CoreMap

edu.stanford.nlp.dcoref.ACEMentionExtractor

edu.stanford.nlp.dcoref.CoNLLMentionExtractor

edu.stanford.nlp.dcoref.Document

edu.stanford.nlp.dcoref.MUCMentionExtractor

edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder

edu.stanford.nlp.dcoref.SieveCoreferenceSystem

edu.stanford.nlp.ie.crf.TestSequenceModel

edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory

edu.stanford.nlp.ie.machinereading.domains.ace.AceReader

edu.stanford.nlp.ie.machinereading.EntityExtractorResultsPrinter

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