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The Automated Estimation of Content-Terms for Query-Focused Multi-document Summarization

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成果类型:
期刊论文、会议论文
作者:
He, Tingting*何婷婷);Shao, Wei;Li, Fang;Yang, Zongkai;Ma, Liang
通讯作者:
He, Tingting(何婷婷
作者机构:
[He, Tingting; Ma, Liang; Li, Fang; Shao, Wei] Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
[He, Tingting; Yang, Zongkai; Ma, Liang; Li, Fang; Shao, Wei] Engn Res Ctr of Edu Informat technol, Ministry Educ, Wuhan 430079, Peoples R China.
通讯机构:
[He, Tingting] H
Huazhong Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Query-focused multi-document summarization;estimation of content-terms;scoring sentences
期刊:
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 5, PROCEEDINGS
年:
2008
页码:
580-584
会议名称:
Fifth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008, 18-20 October 2008, Jinan, Shandong, China, Proceedings, Volume 5
基金类别:
National Science Foundation of China [60773167]; National Social Science Foundation of China [06BYY029]; Natural Science Foundation of Hubei Province [2006ABC011]; 973 National Basic Research Program [2007CB310804]; Program of Introducing Talents of Discipline to Universities [B07042]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Query-focused multi-document summarization aims to produce a summary in response to a user query. We present an approach based on estimation of content-terms to address this task. In the process of estimating content-terms, we make full use of the relevant feature and the information richness feature for assigning importance to each of them. With summary content-terms being identified correctly, the candidate sentences are ranked and best sentences are selected to form the summary. Experiments on DUC 2005 and 2006 are performed and the RO...

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