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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 | |
| Conference Name | 19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 |
| Source | International Conference on Information and Knowledge Management, Proceedings |
| Pages | 1765-1768 |
| Conference Date | 40842 |
| Conference Place | Toronto, ON, Canada |
| Indexed Type | EI |
| Publish Place | United States |
| ISBN | 9781450000000 |
| Department | (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 |
| English Abstract | 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. |
| Sponsorship | ACM SIGIR; ACM SIGWEB; ACM SIGKDD |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8752 |
| Collection | 基础软件与系统重点实验室 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| p1765-li.pdf（522KB） | 开放获取 | -- | Application Full Text | |||
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