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题名:
a cue-based hub-authority approach for multi-document text summarization
作者: Zhang JL ; Sun L ; Zhou Q
会议文集: Proceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
会议名称: International Conference on Natural Language Processing and Knowledge Engineering
会议日期: OCT 30-NOV
出版日期: 2005
会议地点: Wuhan, PEOPLES R CHINA
关键词: Algorithms ; Computational methods ; Feature extraction ; Graphic methods ; Indexing (of information)
出版者: Proceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE05)
出版地: 345 E 47TH ST, NEW YORK, NY 10017 USA
收录类别: istp ; ei
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.
主办者: IEEE, AAI, CIPSC, Chinese Assoc Artificial Intelligence, IEEE Signal Proc Soc, IEEE Beijing Sect
英文摘要: 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
语种: 英语
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/12562
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Zhang JL,Sun L,Zhou Q. a cue-based hub-authority approach for multi-document text summarization[C]. 见:International Conference on Natural Language Processing and Knowledge Engineering. Wuhan, PEOPLES R CHINA. OCT 30-NOV.
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