A hybrid model for sentence ordering in extractive multi-document summarization

被引:0
|
作者
Liu, Dexi [1 ]
Zhang, Zengchang
He, Yanxiang
Ji, Donghong
机构
[1] Xiangfan Univ, Sch Phys, Xiangfan 441053, Peoples R China
[2] Wuhan Univ, Sch Comp, Wuhan 430079, Peoples R China
[3] Inst Infocomm Res, Singapore 119613, Singapore
关键词
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ordering information is a critical task for multi-document summarization because it heavily influent the coherence of the generated summary. In this paper, we propose a hybrid model for sentence ordering in extractive multi-document summarization that combines four relations between sentences. This model regards sentence as vertex and combined relation as edge of a directed graph on which the approximately optimal ordering can be generated with PageRank analysis. Evaluation of our hybrid model shows a significant improvement of the ordering over strategies losing some relations and the results also indicate that this hybrid model is robust for articles with different genre.
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收藏
页码:588 / 592
页数:5
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