/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet This software is provided under the terms of the Common Public License, version 1.0, as published by http://www.opensource.org. For further information, see the file `LICENSE' included with this distribution. */ /** Create new features from features (matching a regex within a window +/- the current position. @author Andrew McCallum <a href="mailto:mccallum@cs.umass.edu">mccallum@cs.umass.edu</a> */ package cc.mallet.pipe.tsf; import java.io.*; import java.util.regex.*; import cc.mallet.pipe.Pipe; import cc.mallet.types.Instance; import cc.mallet.types.Token; import cc.mallet.types.TokenSequence; import cc.mallet.util.PropertyList; public class FeaturesOfFirstMention extends Pipe implements Serializable { String namePrefix; String firstMentionName; // If not null, add this feature if this token is the first mention Pattern featureRegex; // Matching tokentext are candidates for FIRSTMENTION features Pattern filterRegex; // Matching features from the FIRSTMENTION will be included boolean includeFiltered; // If false, then EXCLUDE feature names that match the pattern public FeaturesOfFirstMention (String namePrefix, String firstMentionName, Pattern featureRegex) { this.namePrefix = namePrefix; this.firstMentionName = firstMentionName; this.featureRegex = featureRegex; } public FeaturesOfFirstMention (String namePrefix, Pattern featureRegex, Pattern featureFilterRegex, boolean includeFiltered) { this (namePrefix, null, featureRegex); this.filterRegex = featureFilterRegex; this.includeFiltered = includeFiltered; } public FeaturesOfFirstMention (String namePrefix, Pattern featureRegex) { this (namePrefix, null, featureRegex); } public FeaturesOfFirstMention (String namePrefix) { this (namePrefix, null); } public Instance pipe (Instance carrier) { TokenSequence ts = (TokenSequence) carrier.getData(); int tsSize = ts.size(); for (int i = tsSize-1; i >= 0; i--) { Token t = ts.get (i); String text = t.getText(); if (featureRegex != null && !featureRegex.matcher(text).matches()) continue; for (int j = 0; j < i; j++) { if (ts.get(j).getText().equals(text)) { PropertyList.Iterator iter = ts.get(j).getFeatures().iterator(); while (iter.hasNext()) { iter.next(); String key = iter.getKey(); if (filterRegex == null || (filterRegex.matcher(key).matches() ^ !includeFiltered)) t.setFeatureValue (namePrefix+key, iter.getNumericValue()); } break; } if (firstMentionName != null) t.setFeatureValue (firstMentionName, 1.0); } } return carrier; } // Serialization private static final long serialVersionUID = 1; private static final int CURRENT_SERIAL_VERSION = 0; private void writeObject (ObjectOutputStream out) throws IOException { out.writeInt (CURRENT_SERIAL_VERSION); out.writeObject (namePrefix); out.writeObject (featureRegex); } private void readObject (ObjectInputStream in) throws IOException, ClassNotFoundException { int version = in.readInt (); namePrefix = (String) in.readObject(); featureRegex = (Pattern) in.readObject(); } }