gr.demokritos.iit.summarization.selection
Class NoveltyBasedSelector<TSentenceType,TTokenType>

java.lang.Object
  gr.demokritos.iit.summarization.selection.NoveltyBasedSelector<TSentenceType,TTokenType>

All Implemented Interfaces:

ISentenceSelector<TSentenceType,TTokenType>

Direct Known Subclasses:

RedundancyBasedSelector

public class NoveltyBasedSelector<TSentenceType,TTokenType>
extends java.lang.Object
implements ISentenceSelector<TSentenceType,TTokenType>

Chooses sentences based on the novelty of the provided information, given an existing information document graph.

Field Summary

SimilarityComparatorListener	Comparator Comparator for the representations.
int	MaxSentencesSelected The maximum number of sentences to select.
protected java.lang.String	PreexistingText Pre-existing information text.
IObjectFilter<DocumentNGramGraph>	SentenceRepresentationFilter Representation filter.

Constructor Summary

NoveltyBasedSelector()

NoveltyBasedSelector(java.lang.String sPreexistingText)

Method Summary

protected void	initComparator() Makes sure the comparator is not null.
protected void	initSentenceRepresentationFilter() Makes sure the representation filter is not null.
java.util.List<TSentenceType>	selectFromSentences(java.util.List<TSentenceType> sSentences) Selects a sentence subset of a given sentence set.
boolean	selectSentence(java.util.List<TTokenType> tokens) Returns whether the given sentence (token list) should be selected.
double	sentenceSelectionConfidence(java.util.List<TTokenType> tokens) Returns a confidence measure of whether the given sentence (token list) should be selected.
void	setPreexistingText(java.lang.String sNewPreexistingText) Replaces pre-existing info with a new set of information.

Methods inherited from class java.lang.Object

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

Field Detail

PreexistingText

protected java.lang.String PreexistingText

Pre-existing information text.

Comparator

public SimilarityComparatorListener Comparator

Comparator for the representations.

SentenceRepresentationFilter

public IObjectFilter<DocumentNGramGraph> SentenceRepresentationFilter

Representation filter. If not null, then the graph representation of each sentence passes through the filter before being used.

MaxSentencesSelected

public int MaxSentencesSelected

The maximum number of sentences to select.

Constructor Detail

NoveltyBasedSelector

public NoveltyBasedSelector()

NoveltyBasedSelector

public NoveltyBasedSelector(java.lang.String sPreexistingText)

Method Detail

initComparator

protected void initComparator()

Makes sure the comparator is not null.

initSentenceRepresentationFilter

protected void initSentenceRepresentationFilter()

Makes sure the representation filter is not null.

setPreexistingText

public void setPreexistingText(java.lang.String sNewPreexistingText)

Replaces pre-existing info with a new set of information.

Parameters:

dngNewInfo - The new information.

selectFromSentences

public java.util.List<TSentenceType> selectFromSentences(java.util.List<TSentenceType> sSentences)

Description copied from interface: ISentenceSelector

Selects a sentence subset of a given sentence set.

Specified by:

selectFromSentences in interface ISentenceSelector<TSentenceType,TTokenType>

selectSentence

public boolean selectSentence(java.util.List<TTokenType> tokens)

Description copied from interface: ISentenceSelector

Returns whether the given sentence (token list) should be selected.

Specified by:

selectSentence in interface ISentenceSelector<TSentenceType,TTokenType>

sentenceSelectionConfidence

public double sentenceSelectionConfidence(java.util.List<TTokenType> tokens)

Description copied from interface: ISentenceSelector

Returns a confidence measure of whether the given sentence (token list) should be selected.

Specified by:

sentenceSelectionConfidence in interface ISentenceSelector<TSentenceType,TTokenType>