Examples of DependencyParser

com.tuenti.supernanny.dependencies.DependencyParser

edu.stanford.nlp.parser.nndep.DependencyParser

This class defines a transition-based dependency parser which makes use of a classifier powered by a neural network. The neural network accepts distributed representation inputs: dense, continuous representations of words, their part of speech tags, and the labels which connect words in a partial dependency parse.

This is an implementation of the method described in

Danqi Chen and Christopher Manning. A Fast and Accurate Dependency Parser Using Neural Networks. In EMNLP 2014.

New models can be trained from the command line; see {@link #main}for details on training options. This parser will also output CoNLL-X format predictions; again see {@link #main} for availableoptions.

This parser can also be used programmatically. The easiest way to prepare the parser with a pre-trained model is to call {@link #loadFromModelFile(String)}. Then call {@link #predict(edu.stanford.nlp.util.CoreMap)} on the returnedparser instance in order to get new parses. @author Danqi Chen (danqi@cs.stanford.edu) @author Jon Gauthier

  }


  private void doResolve(CliParser p) throws IOException {
    // fetch needed deps
    System.out.println("Init repos");
    DependencyParser dparser = new SNDependencyParser(ReqType.SW, util);
    List<Requirement> reqs = null;
    try {
      reqs = dparser.parseMultipleDepFiles(p);
    } catch (FileNotFoundException e) {
      System.err.println("Dep file not found, sure this is a supernanny repo?");
      System.exit(1);
    } catch (InvalidFormatException e) {
      System.err.println("Invalid format" + e);
      System.exit(1);
    }


    DependencyParser defaultParser = new SNDependencyParser(ReqType.GE, util);
    repoProvider.setDependencyParser(defaultParser);


    // init all known repos in parallel to speed things up
    try {
      repoProvider.warmUp(reqs, executor);

    }


    String text = "I can almost always tell when movies use fake dinosaurs.";


    MaxentTagger tagger = new MaxentTagger(taggerPath);
    DependencyParser parser = DependencyParser.loadFromModelFile(modelPath);


    DocumentPreprocessor tokenizer = new DocumentPreprocessor(new StringReader(text));
    for (List<HasWord> sentence : tokenizer) {
      List<TaggedWord> tagged = tagger.tagSentence(sentence);
      GrammaticalStructure gs = parser.predict(tagged);


      // Print typed dependencies
      System.err.println(gs);
    }
  }

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Examples of DependencyParser

Examples of com.tuenti.supernanny.dependencies.DependencyParser

Examples of edu.stanford.nlp.parser.nndep.DependencyParser