edu.stanford.nlp.ie

Class EmpiricalNERPriorBIO<IN extends CoreMap>

java.lang.Object

edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO<IN>

edu.stanford.nlp.ie.EmpiricalNERPriorBIO<IN>

All Implemented Interfaces:

ListeningSequenceModel, SequenceListener, SequenceModel

public class EmpiricalNERPriorBIO<IN extends CoreMap>
extends EntityCachingAbstractSequencePriorBIO<IN>

Author:

Mengqiu Wang

Field Summary

Fields

Modifier and Type	Field and Description
static boolean	DEBUG
protected int	LOCIndex
protected int	ORGIndex
protected double	p1
protected double	p2

Fields inherited from class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO

backgroundSymbol, classIndex, numClasses, possibleValues, sequence, tagIndex

Constructor Summary

Constructors

Constructor and Description
EmpiricalNERPriorBIO(String backgroundSymbol, Index<String> classIndex, Index<String> tagIndex, List<IN> doc, Pair<double[][],double[][]> matrices, SeqClassifierFlags flags)

Method Summary

Methods

Modifier and Type	Method and Description
double	scoreOf(int[] sequence) Computes the score assigned by this model to the whole sequence.

Methods inherited from class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO

extractEntity, getConditionalDistribution, getNumClasses, getPossibleValues, leftWindow, length, matches, otherOccurrences, rightWindow, scoreOf, scoresOf, setInitialSequence, toArray, toString, toString, updateSequenceElement

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

p1

protected double p1

p2

protected double p2

ORGIndex

protected int ORGIndex

LOCIndex

protected int LOCIndex

DEBUG

public static boolean DEBUG

Constructor Detail

EmpiricalNERPriorBIO

public EmpiricalNERPriorBIO(String backgroundSymbol,
                    Index<String> classIndex,
                    Index<String> tagIndex,
                    List<IN> doc,
                    Pair<double[][],double[][]> matrices,
                    SeqClassifierFlags flags)

Method Detail

scoreOf

public double scoreOf(int[] sequence)

Description copied from interface: SequenceModel

Computes the score assigned by this model to the whole sequence. Typically this will be an unnormalized probability in log space (since the probabilities are small).

Parameters:

sequence - The sequence of labels to compute a score for

Returns:

The score for the entire sequence