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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
ISBN9781450000000
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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