📄 gammaaverageconfidenceestimator.java
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/* 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. *//** @author Aron Culotta <a href="mailto:culotta@cs.umass.edu">culotta@cs.umass.edu</a>*/package edu.umass.cs.mallet.base.fst.confidence;import edu.umass.cs.mallet.base.types.*;import edu.umass.cs.mallet.base.fst.*;import java.util.HashMap;/** Calculates the confidence in an extracted segment by taking the * average of P(s_i|o) for each state in the segment. */public class GammaAverageConfidenceEstimator extends TransducerConfidenceEstimator{ HashMap string2stateIndex; public GammaAverageConfidenceEstimator (Transducer model) { this.model = model; string2stateIndex = new HashMap(); // store state indices for (int i=0; i < model.numStates(); i++) { string2stateIndex.put (model.getState(i).getName(), new Integer (i)); } } /** Calculates the confidence in the tagging of a {@link Segment}. @return 0-1 confidence value. higher = more confident. */ public double estimateConfidenceFor (Segment segment, Transducer.Lattice cachedLattice) { Sequence predSequence = segment.getPredicted (); Sequence input = segment.getInput (); Transducer.Lattice lattice = (cachedLattice==null) ? model.forwardBackward (input) : cachedLattice; double confidence = 0; for (int i=segment.getStart(); i <= segment.getEnd(); i++) confidence += lattice.getGammaProbability (i+1, model.getState (stateIndexOfString ((String)predSequence.get (i)))); return confidence/(double)segment.size(); } private int stateIndexOfString (String s) { Integer index = (Integer) string2stateIndex.get (s); if (index == null) throw new IllegalArgumentException ("state label " + s + " not a state in transducer"); return index.intValue(); }}
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