@Override
 public Sequence<IString> process(String input) {
   String tokenizerInput = toUncased(input.trim());
   Tokenizer<CoreLabel> tokenizer = tf.getTokenizer(new StringReader(tokenizerInput));
   List<String> outputStrings = new LinkedList<>();
   while (tokenizer.hasNext()) {
     String string = tokenizer.next().get(TextAnnotation.class);
     outputStrings.add(string);
   }
   return IStrings.toIStringSequence(outputStrings);
 }
  @Override
  public SymmetricalWordAlignment processAndAlign(String input) {
    input = input.trim();

    // Run through the tokenizer and convert to sequence
    String tokenizerInput = toUncased(input);
    String[] uncasedInputTokens = tokenizerInput.split("\\s+");
    Tokenizer<CoreLabel> tokenizer = tf.getTokenizer(new StringReader(tokenizerInput));
    List<CoreLabel> outputTokens = tokenizer.tokenize();
    IString[] outputSequence = new IString[outputTokens.size()];
    for (int i = 0; i < outputSequence.length; ++i) {
      String outputToken = outputTokens.get(i).get(TextAnnotation.class);
      outputSequence[i] = new IString(outputToken);
    }

    // Whitespace tokenization of input, create alignment
    Sequence<IString> inputSequence = IStrings.tokenize(input);
    assert inputSequence.size() == uncasedInputTokens.length;
    SymmetricalWordAlignment alignment =
        new SymmetricalWordAlignment(
            inputSequence, new SimpleSequence<IString>(true, outputSequence));

    // Generate the alignments
    StringBuilder inputToken = new StringBuilder();
    for (int i = 0, j = 0, limit = outputTokens.size(); j < limit; ++j) {
      CoreLabel tokenizedToken = outputTokens.get(j);
      String inputTokenPart = toUncased(tokenizedToken.get(OriginalTextAnnotation.class));
      alignment.addAlign(i, j);

      inputToken.append(inputTokenPart);
      if (i >= uncasedInputTokens.length) {
        System.err.println("WARNING: Non-invertible input: " + input);
        break;
      }
      if (uncasedInputTokens[i].equals(inputToken.toString())) {
        ++i;
        inputToken = new StringBuilder();
      }
    }
    return alignment;
  }
Beispiel #3
0
  private static List<TypedDependency> getDependencies(String sentence) {

    if (pipeline == null) {
      loadModels();
    }

    TokenizerFactory<CoreLabel> tokenizerFactory =
        PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    Tokenizer<CoreLabel> tok = tokenizerFactory.getTokenizer(new StringReader(sentence));
    List<CoreLabel> rawWords2 = tok.tokenize();
    Tree parse = lp.apply(rawWords2);
    //        parse.pennPrint();
    //
    //        System.out.println(parse.toString());

    TreebankLanguagePack tlp = lp.treebankLanguagePack(); // PennTreebankLanguagePack for English
    GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
    GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);
    List<TypedDependency> tdl = gs.typedDependenciesCCprocessed();

    return tdl;
  }
 private Tree getPosTree(String sentence) {
   final Tokenizer<CoreLabel> tokenizer =
       tokenizerFactory.getTokenizer(new StringReader(sentence));
   final List<CoreLabel> tokens = tokenizer.tokenize();
   return parser.apply(tokens);
 }
  @Override
  public Document nextDoc() throws Exception {
    List<List<CoreLabel>> allWords = new ArrayList<List<CoreLabel>>();
    List<Tree> allTrees = new ArrayList<Tree>();
    List<List<Mention>> allGoldMentions = new ArrayList<List<Mention>>();
    List<List<Mention>> allPredictedMentions;
    List<CoreMap> allSentences = new ArrayList<CoreMap>();
    Annotation docAnno = new Annotation("");

    Pattern docPattern =
        Pattern.compile("<DOC>(.*?)</DOC>", Pattern.DOTALL + Pattern.CASE_INSENSITIVE);
    Pattern sentencePattern =
        Pattern.compile(
            "(<s>|<hl>|<dd>|<DATELINE>)(.*?)(</s>|</hl>|</dd>|</DATELINE>)",
            Pattern.DOTALL + Pattern.CASE_INSENSITIVE);
    Matcher docMatcher = docPattern.matcher(fileContents);
    if (!docMatcher.find(currentOffset)) return null;

    currentOffset = docMatcher.end();
    String doc = docMatcher.group(1);
    Matcher sentenceMatcher = sentencePattern.matcher(doc);
    String ner = null;

    // Maintain current document ID.
    Pattern docIDPattern =
        Pattern.compile("<DOCNO>(.*?)</DOCNO>", Pattern.DOTALL + Pattern.CASE_INSENSITIVE);
    Matcher docIDMatcher = docIDPattern.matcher(doc);
    if (docIDMatcher.find()) currentDocumentID = docIDMatcher.group(1);
    else currentDocumentID = "documentAfter " + currentDocumentID;

    while (sentenceMatcher.find()) {
      String sentenceString = sentenceMatcher.group(2);
      List<CoreLabel> words =
          tokenizerFactory.getTokenizer(new StringReader(sentenceString)).tokenize();

      // FIXING TOKENIZATION PROBLEMS
      for (int i = 0; i < words.size(); i++) {
        CoreLabel w = words.get(i);
        if (i > 0 && w.word().equals("$")) {
          if (!words.get(i - 1).word().endsWith("PRP") && !words.get(i - 1).word().endsWith("WP"))
            continue;
          words.get(i - 1).set(CoreAnnotations.TextAnnotation.class, words.get(i - 1).word() + "$");
          words.remove(i);
          i--;
        } else if (w.word().equals("\\/")) {
          if (words.get(i - 1).word().equals("</COREF>")) continue;
          w.set(
              CoreAnnotations.TextAnnotation.class,
              words.get(i - 1).word() + "\\/" + words.get(i + 1).word());
          words.remove(i + 1);
          words.remove(i - 1);
        }
      }
      // END FIXING TOKENIZATION PROBLEMS

      List<CoreLabel> sentence = new ArrayList<CoreLabel>();
      // MUC accepts embedded coref mentions, so we need to keep a stack for the mentions currently
      // open
      Stack<Mention> stack = new Stack<Mention>();
      List<Mention> mentions = new ArrayList<Mention>();

      allWords.add(sentence);
      allGoldMentions.add(mentions);

      for (CoreLabel word : words) {
        String w = word.get(CoreAnnotations.TextAnnotation.class);
        // found regular token: WORD/POS
        if (!w.startsWith("<") && w.contains("\\/") && w.lastIndexOf("\\/") != w.length() - 2) {
          int i = w.lastIndexOf("\\/");
          String w1 = w.substring(0, i);
          // we do NOT set POS info here. We take the POS tags from the parser!
          word.set(CoreAnnotations.TextAnnotation.class, w1);
          word.remove(CoreAnnotations.OriginalTextAnnotation.class);
          if (Constants.USE_GOLD_NE) {
            if (ner != null) {
              word.set(CoreAnnotations.NamedEntityTagAnnotation.class, ner);
            } else {
              word.set(CoreAnnotations.NamedEntityTagAnnotation.class, "O");
            }
          }
          sentence.add(word);
        }
        // found the start SGML tag for a NE, e.g., "<ORGANIZATION>"
        else if (w.startsWith("<") && !w.startsWith("<COREF") && !w.startsWith("</")) {
          Pattern nerPattern = Pattern.compile("<(.*?)>");
          Matcher m = nerPattern.matcher(w);
          m.find();
          ner = m.group(1);
        }
        // found the end SGML tag for a NE, e.g., "</ORGANIZATION>"
        else if (w.startsWith("</") && !w.startsWith("</COREF")) {
          Pattern nerPattern = Pattern.compile("</(.*?)>");
          Matcher m = nerPattern.matcher(w);
          m.find();
          String ner1 = m.group(1);
          if (ner != null && !ner.equals(ner1))
            throw new RuntimeException("Unmatched NE labels in MUC file: " + ner + " v. " + ner1);
          ner = null;
        }
        // found the start SGML tag for a coref mention
        else if (w.startsWith("<COREF")) {
          Mention mention = new Mention();
          // position of this mention in the sentence
          mention.startIndex = sentence.size();

          // extract GOLD info about this coref chain. needed for eval
          Pattern idPattern = Pattern.compile("ID=\"(.*?)\"");
          Pattern refPattern = Pattern.compile("REF=\"(.*?)\"");

          Matcher m = idPattern.matcher(w);
          m.find();
          mention.mentionID = Integer.parseInt(m.group(1));

          m = refPattern.matcher(w);
          if (m.find()) {
            mention.originalRef = Integer.parseInt(m.group(1));
          }

          // open mention. keep track of all open mentions using the stack
          stack.push(mention);
        }
        // found the end SGML tag for a coref mention
        else if (w.equals("</COREF>")) {
          Mention mention = stack.pop();
          mention.endIndex = sentence.size();

          // this is a closed mention. add it to the final list of mentions
          // System.err.printf("Found MENTION: ID=%d, REF=%d\n", mention.mentionID,
          // mention.originalRef);
          mentions.add(mention);
        } else {
          word.remove(CoreAnnotations.OriginalTextAnnotation.class);
          if (Constants.USE_GOLD_NE) {
            if (ner != null) {
              word.set(CoreAnnotations.NamedEntityTagAnnotation.class, ner);
            } else {
              word.set(CoreAnnotations.NamedEntityTagAnnotation.class, "O");
            }
          }
          sentence.add(word);
        }
      }
      StringBuilder textContent = new StringBuilder();
      for (int i = 0; i < sentence.size(); i++) {
        CoreLabel w = sentence.get(i);
        w.set(CoreAnnotations.IndexAnnotation.class, i + 1);
        w.set(CoreAnnotations.UtteranceAnnotation.class, 0);
        if (i > 0) textContent.append(" ");
        textContent.append(w.getString(CoreAnnotations.TextAnnotation.class));
      }
      CoreMap sentCoreMap = new Annotation(textContent.toString());
      allSentences.add(sentCoreMap);
      sentCoreMap.set(CoreAnnotations.TokensAnnotation.class, sentence);
    }

    // assign goldCorefClusterID
    Map<Integer, Mention> idMention = Generics.newHashMap(); // temporary use
    for (List<Mention> goldMentions : allGoldMentions) {
      for (Mention m : goldMentions) {
        idMention.put(m.mentionID, m);
      }
    }
    for (List<Mention> goldMentions : allGoldMentions) {
      for (Mention m : goldMentions) {
        if (m.goldCorefClusterID == -1) {
          if (m.originalRef == -1) m.goldCorefClusterID = m.mentionID;
          else {
            int ref = m.originalRef;
            while (true) {
              Mention m2 = idMention.get(ref);
              if (m2.goldCorefClusterID != -1) {
                m.goldCorefClusterID = m2.goldCorefClusterID;
                break;
              } else if (m2.originalRef == -1) {
                m2.goldCorefClusterID = m2.mentionID;
                m.goldCorefClusterID = m2.goldCorefClusterID;
                break;
              } else {
                ref = m2.originalRef;
              }
            }
          }
        }
      }
    }

    docAnno.set(CoreAnnotations.SentencesAnnotation.class, allSentences);
    stanfordProcessor.annotate(docAnno);

    if (allSentences.size() != allWords.size())
      throw new IllegalStateException("allSentences != allWords");
    for (int i = 0; i < allSentences.size(); i++) {
      List<CoreLabel> annotatedSent =
          allSentences.get(i).get(CoreAnnotations.TokensAnnotation.class);
      List<CoreLabel> unannotatedSent = allWords.get(i);
      List<Mention> mentionInSent = allGoldMentions.get(i);
      for (Mention m : mentionInSent) {
        m.dependency =
            allSentences
                .get(i)
                .get(SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation.class);
      }
      if (annotatedSent.size() != unannotatedSent.size()) {
        throw new IllegalStateException("annotatedSent != unannotatedSent");
      }
      for (int j = 0, sz = annotatedSent.size(); j < sz; j++) {
        CoreLabel annotatedWord = annotatedSent.get(j);
        CoreLabel unannotatedWord = unannotatedSent.get(j);
        if (!annotatedWord
            .get(CoreAnnotations.TextAnnotation.class)
            .equals(unannotatedWord.get(CoreAnnotations.TextAnnotation.class))) {
          throw new IllegalStateException("annotatedWord != unannotatedWord");
        }
      }
      allWords.set(i, annotatedSent);
      allTrees.add(allSentences.get(i).get(TreeCoreAnnotations.TreeAnnotation.class));
    }

    // extract predicted mentions
    if (Constants.USE_GOLD_MENTIONS) allPredictedMentions = allGoldMentions;
    else
      allPredictedMentions = mentionFinder.extractPredictedMentions(docAnno, maxID, dictionaries);

    // add the relevant fields to mentions and order them for coref
    return arrange(docAnno, allWords, allTrees, allPredictedMentions, allGoldMentions, true);
  }
 private static List<CoreLabel> tokenize(String str) {
   Tokenizer<CoreLabel> tokenizer = tokenizerFactory.getTokenizer(new StringReader(str));
   return tokenizer.tokenize();
 }