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a cue-based hub-authority approach for multi-document text summarization
Zhang JL; Sun L; Zhou Q
2005
Conference NameInternational Conference on Natural Language Processing and Knowledge Engineering
SourceProceedings of 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering, IEEE NLP-KE'05
Pages642-645
Conference DateOCT 30-NOV
Conference PlaceWuhan, PEOPLES R CHINA
Indexed Typeistp ; ei
Publish Place345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherProceedings of the 2005 IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE05)
ISBN0-7803-9361-9
DepartmentChinese Acad Sci, Open Syst & Chinese Informat Proc Ctr, Inst Software, Beijing 100080, Peoples R China.
English AbstractMulti-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
KeywordAlgorithms Computational Methods Feature Extraction Graphic Methods Indexing (Of Information)
SponsorshipIEEE, AAI, CIPSC, Chinese Assoc Artificial Intelligence, IEEE Signal Proc Soc, IEEE Beijing Sect
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12562
Collection中国科学院软件研究所
Recommended Citation
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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