The Application of SSC Soft Clustering Algorithm in Queryfocus Multidocument Summarization

TANG Jun

doi:10.3969/j.issn.1007130X.2010.

Computer Engineering & Science >

2010 , Vol. 32 >Issue 6: 112 - 114

DOI: https://doi.org/10.3969/j.issn.1007130X.2010.

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The Application of SSC Soft Clustering Algorithm in Queryfocus Multidocument Summarization

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(Department of Information Engineering,Hunan Urban Construction College,Xiangtan 411101,China)

Received date: 2009-09-11

Revised date: 2009-12-14

Online published: 2010-06-01

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Abstract

For Queryfocus Multidocument Summarization, the query sentence is mixed into sentences from the set of multidocument, efficient soft cluster algorithm is used to cluster all the sentences. The summary sentence will be extracted one by one from the clusters which query sentence in. At last, the summary is generated. Experiments showed that our method performed very well in DUC 2005 corpus.

Key words： multidocument summarization；soft clustering algorithm；sentence extraction

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TANG Jun . The Application of SSC Soft Clustering Algorithm in Queryfocus Multidocument Summarization[J]. Computer Engineering & Science, 2010 , 32(6) : 112 -114 . DOI: 10.3969/j.issn.1007130X.2010.

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