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	Document-Based HITS Model for Multi-document Summarization
	Wan, Xiaojun
	2008
英文摘要	The PageRank model has been successfully exploited for multi-document summarization by making use of the link relationships between sentences in the document set, under the assumption that all the sentences are indistinguishable from each other. However, different documents in the set are usually not equally important, and the sentences in an important document are deemed more salient than the sentences in a trivial document. This paper proposes the document-based HITS model (DocHITS) to fully leverage the document-level information by considering documents and sentences as hubs and authorities. Experimental results on the DUC2001 and DUC2002 datasets demonstrate the good effectiveness of our proposed model.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000262624600038&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; EI; CPCI-S(ISTP); 4
语种	英语
DOI标识	10.1007/978-3-540-89197-0_42
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321305]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wan, Xiaojun. Document-Based HITS Model for Multi-document Summarization. 2008-01-01.

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