Exemplo n.º 1
0
 public void loadModel(String file) throws Exception {
   ObjectInputStream in = new ObjectInputStream(new FileInputStream(file));
   params.parameters = (double[]) in.readObject();
   pipe.dataAlphabet = (Alphabet) in.readObject();
   pipe.typeAlphabet = (Alphabet) in.readObject();
   in.close();
   pipe.closeAlphabets();
 }
Exemplo n.º 2
0
  /////////////////////////////////////////////////////
  // RUNNING THE PARSER
  ////////////////////////////////////////////////////
  public static void main(String[] args) throws FileNotFoundException, Exception {

    ParserOptions options = new ParserOptions(args);

    if (options.train) {

      DependencyPipe pipe =
          options.secondOrder ? new DependencyPipe2O(options) : new DependencyPipe(options);

      int[] instanceLengths = pipe.createInstances(options.trainfile, options.trainforest);

      pipe.closeAlphabets();

      DependencyParser dp = new DependencyParser(pipe, options);

      int numFeats = pipe.dataAlphabet.size();
      int numTypes = pipe.typeAlphabet.size();
      System.out.print("Num Feats: " + numFeats);
      System.out.println(".\tNum Edge Labels: " + numTypes);

      dp.train(instanceLengths, options.trainfile, options.trainforest);

      System.out.print("Saving model...");
      dp.saveModel(options.modelName);
      System.out.print("done.");
    }

    if (options.test) {
      DependencyPipe pipe =
          options.secondOrder ? new DependencyPipe2O(options) : new DependencyPipe(options);

      DependencyParser dp = new DependencyParser(pipe, options);

      System.out.print("\tLoading model...");
      dp.loadModel(options.modelName);
      System.out.println("done.");

      pipe.closeAlphabets();

      dp.outputParses();
    }

    System.out.println();

    if (options.eval) {
      System.out.println("\nEVALUATION PERFORMANCE:");
      DependencyEvaluator.evaluate(options.goldfile, options.outfile, options.format);
    }
  }
Exemplo n.º 3
0
  private void trainingIter(int[] instanceLengths, String trainfile, File train_forest, int iter)
      throws IOException {

    int numUpd = 0;
    ObjectInputStream in = new ObjectInputStream(new FileInputStream(train_forest));
    boolean evaluateI = true;

    int numInstances = instanceLengths.length;

    for (int i = 0; i < numInstances; i++) {
      if ((i + 1) % 500 == 0) {
        System.out.print((i + 1) + ",");
        // System.out.println("  "+(i+1)+" instances");
      }

      int length = instanceLengths[i];

      // Get production crap.
      FeatureVector[][][] fvs = new FeatureVector[length][length][2];
      double[][][] probs = new double[length][length][2];
      FeatureVector[][][][] nt_fvs = new FeatureVector[length][pipe.types.length][2][2];
      double[][][][] nt_probs = new double[length][pipe.types.length][2][2];
      FeatureVector[][][] fvs_trips = new FeatureVector[length][length][length];
      double[][][] probs_trips = new double[length][length][length];
      FeatureVector[][][] fvs_sibs = new FeatureVector[length][length][2];
      double[][][] probs_sibs = new double[length][length][2];

      DependencyInstance inst;

      if (options.secondOrder) {
        inst =
            ((DependencyPipe2O) pipe)
                .readInstance(
                    in,
                    length,
                    fvs,
                    probs,
                    fvs_trips,
                    probs_trips,
                    fvs_sibs,
                    probs_sibs,
                    nt_fvs,
                    nt_probs,
                    params);
      } else inst = pipe.readInstance(in, length, fvs, probs, nt_fvs, nt_probs, params);

      double upd =
          (double) (options.numIters * numInstances - (numInstances * (iter - 1) + (i + 1)) + 1);
      int K = options.trainK;
      Object[][] d = null;
      if (options.decodeType.equals("proj")) {
        if (options.secondOrder)
          d =
              ((DependencyDecoder2O) decoder)
                  .decodeProjective(
                      inst,
                      fvs,
                      probs,
                      fvs_trips,
                      probs_trips,
                      fvs_sibs,
                      probs_sibs,
                      nt_fvs,
                      nt_probs,
                      K);
        else d = decoder.decodeProjective(inst, fvs, probs, nt_fvs, nt_probs, K);
      }
      if (options.decodeType.equals("non-proj")) {
        if (options.secondOrder)
          d =
              ((DependencyDecoder2O) decoder)
                  .decodeNonProjective(
                      inst,
                      fvs,
                      probs,
                      fvs_trips,
                      probs_trips,
                      fvs_sibs,
                      probs_sibs,
                      nt_fvs,
                      nt_probs,
                      K);
        else d = decoder.decodeNonProjective(inst, fvs, probs, nt_fvs, nt_probs, K);
      }
      params.updateParamsMIRA(inst, d, upd);
    }

    // System.out.println("");
    // System.out.println("  "+numInstances+" instances");

    System.out.print(numInstances);

    in.close();
  }
Exemplo n.º 4
0
  //////////////////////////////////////////////////////
  // Get Best Parses ///////////////////////////////////
  //////////////////////////////////////////////////////
  public void outputParses() throws IOException {

    String tFile = options.testfile;
    String file = options.outfile;

    long start = System.currentTimeMillis();

    pipe.initInputFile(tFile);
    pipe.initOutputFile(file);

    System.out.print("Processing Sentence: ");
    DependencyInstance instance = pipe.nextInstance();
    int cnt = 0;
    while (instance != null) {
      cnt++;
      System.out.print(cnt + " ");
      String[] forms = instance.forms;

      int length = forms.length;

      FeatureVector[][][] fvs = new FeatureVector[forms.length][forms.length][2];
      double[][][] probs = new double[forms.length][forms.length][2];
      FeatureVector[][][][] nt_fvs = new FeatureVector[forms.length][pipe.types.length][2][2];
      double[][][][] nt_probs = new double[forms.length][pipe.types.length][2][2];
      FeatureVector[][][] fvs_trips = new FeatureVector[length][length][length];
      double[][][] probs_trips = new double[length][length][length];
      FeatureVector[][][] fvs_sibs = new FeatureVector[length][length][2];
      double[][][] probs_sibs = new double[length][length][2];
      if (options.secondOrder)
        ((DependencyPipe2O) pipe)
            .fillFeatureVectors(
                instance,
                fvs,
                probs,
                fvs_trips,
                probs_trips,
                fvs_sibs,
                probs_sibs,
                nt_fvs,
                nt_probs,
                params);
      else pipe.fillFeatureVectors(instance, fvs, probs, nt_fvs, nt_probs, params);

      int K = options.testK;
      Object[][] d = null;
      if (options.decodeType.equals("proj")) {
        if (options.secondOrder)
          d =
              ((DependencyDecoder2O) decoder)
                  .decodeProjective(
                      instance,
                      fvs,
                      probs,
                      fvs_trips,
                      probs_trips,
                      fvs_sibs,
                      probs_sibs,
                      nt_fvs,
                      nt_probs,
                      K);
        else d = decoder.decodeProjective(instance, fvs, probs, nt_fvs, nt_probs, K);
      }
      if (options.decodeType.equals("non-proj")) {
        if (options.secondOrder)
          d =
              ((DependencyDecoder2O) decoder)
                  .decodeNonProjective(
                      instance,
                      fvs,
                      probs,
                      fvs_trips,
                      probs_trips,
                      fvs_sibs,
                      probs_sibs,
                      nt_fvs,
                      nt_probs,
                      K);
        else d = decoder.decodeNonProjective(instance, fvs, probs, nt_fvs, nt_probs, K);
      }

      String[] res = ((String) d[0][1]).split(" ");

      String[] pos = instance.cpostags;

      String[] formsNoRoot = new String[forms.length - 1];
      String[] posNoRoot = new String[formsNoRoot.length];
      String[] labels = new String[formsNoRoot.length];
      int[] heads = new int[formsNoRoot.length];

      Arrays.toString(forms);
      Arrays.toString(res);
      for (int j = 0; j < formsNoRoot.length; j++) {
        formsNoRoot[j] = forms[j + 1];
        posNoRoot[j] = pos[j + 1];

        String[] trip = res[j].split("[\\|:]");
        labels[j] = pipe.types[Integer.parseInt(trip[2])];
        heads[j] = Integer.parseInt(trip[0]);
      }

      pipe.outputInstance(new DependencyInstance(formsNoRoot, posNoRoot, labels, heads));

      // String line1 = ""; String line2 = ""; String line3 = ""; String line4 = "";
      // for(int j = 1; j < pos.length; j++) {
      //	String[] trip = res[j-1].split("[\\|:]");
      //	line1+= sent[j] + "\t"; line2 += pos[j] + "\t";
      //	line4 += trip[0] + "\t"; line3 += pipe.types[Integer.parseInt(trip[2])] + "\t";
      // }
      // pred.write(line1.trim() + "\n" + line2.trim() + "\n"
      //	       + (pipe.labeled ? line3.trim() + "\n" : "")
      //	       + line4.trim() + "\n\n");

      instance = pipe.nextInstance();
    }
    pipe.close();

    long end = System.currentTimeMillis();
    System.out.println("Took: " + (end - start));
  }