dragon.ir.summarize

Class SemanticRankSummarizer

java.lang.Object

dragon.ir.summarize.AbstractSentenceSum

dragon.ir.summarize.LexRankSummarizer

dragon.ir.summarize.SemanticRankSummarizer

All Implemented Interfaces:

GenericMultiDocSummarizer

public class SemanticRankSummarizer
extends LexRankSummarizer

Semantic based ranking summarizer which can supports differnt semantic similarity measure such as ontology based and model based.

Copyright: Copyright (c) 2005

Company: IST, Drexel University

Version:

1.0

Author:

Davis Zhou

Field Summary

Fields inherited from class dragon.ir.summarize.LexRankSummarizer

collectionReader, distanceMetric, indexer, indexReader, powerMethod, threshold, useContinuousValue, useTFIDF

Constructor Summary

Constructors

Constructor and Description
SemanticRankSummarizer(OnlineSentenceIndexer tokenIndexer, KnowledgeBase kngBase)
SemanticRankSummarizer(OnlineSentenceIndexer tokenIndexer, OnlineSentenceIndexer phraseIndexer, KnowledgeBase kngBase)

Method Summary

Modifier and Type	Method and Description
protected double	computeSimilarity(IRDoc firstSent, IRDoc secondSent) LexRank Summarizer uses cosine similrity.
void	setBackgroundCoefficient(double coefficient)
void	setMaxKLDivDistance(double distance)
void	setTranslationCoefficient(double coefficient)

Methods inherited from class dragon.ir.summarize.LexRankSummarizer

buildWeightMatrix, getSentenceSet, setContinuousScoreOpiton, setSimilarityThreshold, summarize

Methods inherited from class dragon.ir.summarize.AbstractSentenceSum

buildSummary, buildSummary

Methods inherited from class java.lang.Object

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

Constructor Detail

SemanticRankSummarizer

public SemanticRankSummarizer(OnlineSentenceIndexer tokenIndexer,
                              KnowledgeBase kngBase)

SemanticRankSummarizer

public SemanticRankSummarizer(OnlineSentenceIndexer tokenIndexer,
                              OnlineSentenceIndexer phraseIndexer,
                              KnowledgeBase kngBase)

Method Detail

setTranslationCoefficient

public void setTranslationCoefficient(double coefficient)

setBackgroundCoefficient

public void setBackgroundCoefficient(double coefficient)

setMaxKLDivDistance

public void setMaxKLDivDistance(double distance)

computeSimilarity

protected double computeSimilarity(IRDoc firstSent,
                                   IRDoc secondSent)

Description copied from class: LexRankSummarizer

LexRank Summarizer uses cosine similrity. This method can be overrided.

Overrides:

computeSimilarity in class LexRankSummarizer

Returns:

the similarity between two specified sentences. The similarity value ranges from 0 to 1.