exploiting novelty, coverage and balance for topic-focused multi-document summarization

	exploiting novelty, coverage and balance for topic-focused multi-document summarization
	Li Xuan; Shen Yi-Dong; Du Liang; Xiong Chen-Yan
	2010
会议名称	19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10
会议录名称	International Conference on Information and Knowledge Management, Proceedings
页码	1765-1768
会议日期	40842
会议地点	Toronto, ON, Canada
收录类别	EI
出版地	United States
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
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.
主办者	ACM SIGIR; ACM SIGWEB; ACM SIGKDD
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8752
专题	基础软件与系统重点实验室
推荐引用方式 GB/T 7714	Li Xuan,Shen Yi-Dong,Du Liang,et al. exploiting novelty, coverage and balance for topic-focused multi-document summarization[C]. United States,2010:1765-1768.

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