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题名:
exploiting novelty, coverage and balance for topic-focused multi-document summarization
作者: Li Xuan ; Shen Yi-Dong ; Du Liang ; Xiong Chen-Yan
会议文集: International Conference on Information and Knowledge Management, Proceedings
会议名称: 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
会议日期: 40842
出版日期: 2010
会议地点: Toronto, ON, Canada
出版地: United States
收录类别: EI
ISBN: 9781450000000
部门归属: (1) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Graduated University, Chinese Academy of Sciences, Beijing 100049, China
主办者: ACM SIGIR; ACM SIGWEB; ACM SIGKDD
英文摘要: Novelty, coverage and balance are important requirements in topic-focused summarization, which to a large extent determine the quality of a summary. In this paper, we propose a novel method that incorporates these requirements into a sentence ranking probability model. It differs from the existing methods in that the novelty, coverage and balance requirements are all modeled w.r.t. a given topic, so that summaries are highly relevant to the topic and at the same time comply with topic-aware novelty, coverage and balance. Experimental results on the DUC 2005, 2006 and 2007 benchmark data sets demonstrate the effectiveness of our method. © 2010 ACM.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8752
Appears in Collections:计算机科学国家重点实验室 _会议论文

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Recommended Citation:
Li Xuan,Shen Yi-Dong,Du Liang,et al. exploiting novelty, coverage and balance for topic-focused multi-document summarization[C]. 见:19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10. Toronto, ON, Canada. 40842.
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