a cue-based hub-authority approach for multi-document text summarization

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	a cue-based hub-authority approach for multi-document text summarization
	Zhang JL; Sun L; Zhou Q
	2005
会议名称	International Conference on Natural Language Processing and Knowledge Engineering
会议录名称	Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
页码	642-645
会议日期	OCT 30-NOV
会议地点	Wuhan, PEOPLES R CHINA
收录类别	istp ; ei
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE05)
ISBN	0-7803-9361-9
部门归属	Chinese Acad Sci, Open Syst & Chinese Informat Proc Ctr, Inst Software, Beijing 100080, Peoples R China.
摘要	Multi-document extractive summarization relies on the concept of sentence centrality to identify the most important sentences in a document. Although some research has introduced the graph-based ranking algorithms such as PageRank and HITS int
关键词	Algorithms Computational Methods Feature Extraction Graphic Methods Indexing (Of Information)
主办者	IEEE, AAI, CIPSC, Chinese Assoc Artificial Intelligence, IEEE Signal Proc Soc, IEEE Beijing Sect
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/12562
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Zhang JL,Sun L,Zhou Q. a cue-based hub-authority approach for multi-document text summarization[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE05),2005:642-645.

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