Package com.clearnlp.experiment

Source Code of com.clearnlp.experiment.SRLExpand

/**
* Copyright (c) 2009/09-2012/08, Regents of the University of Colorado
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
*    list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright notice,
*    this list of conditions and the following disclaimer in the documentation
*    and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
* ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
/**
* Copyright 2012/09-2013/04, 2013/11-Present, University of Massachusetts Amherst
* Copyright 2013/05-2013/10, IPSoft Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*     http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.clearnlp.experiment;

import java.io.PrintStream;
import java.util.Arrays;

import com.carrotsearch.hppc.IntOpenHashSet;
import com.carrotsearch.hppc.ObjectIntOpenHashMap;
import com.clearnlp.dependency.DEPArc;
import com.clearnlp.dependency.DEPNode;
import com.clearnlp.dependency.DEPTree;
import com.clearnlp.reader.AbstractColumnReader;
import com.clearnlp.reader.SRLReader;
import com.clearnlp.util.UTArray;
import com.clearnlp.util.UTInput;
import com.clearnlp.util.UTOutput;


public class SRLExpand
{
  public SRLExpand(String inputFile, String outputFile)
  {
    PrintStream fout = UTOutput.createPrintBufferedFileStream(outputFile);
    SRLReader reader = new SRLReader(0, 1, 2, 3, 4, 5, 6, 7);
    reader.open(UTInput.createBufferedFileReader(inputFile));
    DEPTree tree;
 
    while ((tree = reader.next()) != null)
    {
      tree.setDependents();
      printSpans(fout, tree);
    }
   
    reader.close();
    fout.close();
  }
 
  private void printSpans(PrintStream fout, DEPTree tree)
  {
    String[][] spans = expandSRL(tree);
   
    if (spans == null)
    {
      fout.println(tree+AbstractColumnReader.DELIM_SENTENCE);
      return;
    }
   
    StringBuilder build = new StringBuilder();
    int i, size = tree.size();
    DEPNode node;
   
    for (i=1; i<size; i++)
    {
      node = tree.get(i);
     
      build.append(node.toStringDEP());
      build.append(AbstractColumnReader.DELIM_COLUMN);
      build.append(UTArray.join(spans[i], AbstractColumnReader.DELIM_COLUMN));
      build.append(AbstractColumnReader.DELIM_SENTENCE);
    }
   
    fout.println(build.toString());
  }
 
  public String[][] expandSRL(DEPTree tree)
  {
    ObjectIntOpenHashMap<DEPNode> map = new ObjectIntOpenHashMap<DEPNode>();
    int i = 0, predId = 0, size = tree.size();
    DEPNode pred, arg;
    String label;
   
    while ((pred = tree.getNextPredicate(predId)) != null)
    {
      map.put(pred, i++);
      predId = pred.id;
    }
   
    if (map.isEmpty())  return null;

    String[][] spans = new String[size][];
    int len = map.size();
   
    for (i=1; i<size; i++)
    {
      spans[i] = new String[len];
      Arrays.fill(spans[i], AbstractColumnReader.BLANK_COLUMN);
    }
   
    for (i=1; i<size; i++)
    {
      arg = tree.get(i);
     
      for (DEPArc arc : arg.getSHeads())
      {
        pred = arc.getNode();
        if (!map.containsKey(pred))  continue;
       
        predId = map.get(pred);
        label  = arc.getLabel();
       
        for (int spanId : getSpan(pred, arg))
          spans[spanId][predId] = label;
      }
    }
   
    return spans;
  }
 
  private int[] getSpan(DEPNode pred, DEPNode arg)
  {
    IntOpenHashSet sArg = arg .getSubIdSet();
   
    if (pred.isDescendentOf(arg))
      sArg.removeAll(pred.getSubIdSet());     
   
    int[] span = sArg.toArray();
    return span;
  }
 
  static public void main(String[] args)
  {
    new SRLExpand(args[0], args[1]);
  }
}
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