SSC软聚类算法在面向查询的多文档文摘中的应用

唐俊

doi:10.3969/j.issn.1007130X.2010.

计算机工程与科学 >

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

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

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SSC软聚类算法在面向查询的多文档文摘中的应用

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(湖南城建职业技术学院信息工程系,湖南湘潭 411101)

唐俊（1980），男，湖南湘潭人，硕士生，研究方向为智能计算和免疫算法。

收稿日期: 2009-09-11

修回日期: 2009-12-14

网络出版日期: 2010-06-01

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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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摘要

针对面向查询的多文档自动文摘，本文将查询句混入多文档集合中的各句子中间，采用高效的软聚类算法SSC对所有的句子进行聚类。采用轮转法抽取文摘句，最后生成文摘。该方法在DUC2005的语料中测试效果很好。

关键词： 多文档自动文摘; 软聚类算法; 文摘句抽取

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唐俊 . SSC软聚类算法在面向查询的多文档文摘中的应用[J]. 计算机工程与科学, 2010 , 32(6) : 112 -114 . DOI: 10.3969/j.issn.1007130X.2010.

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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