Presentation 2005-07-13
Clustering News Articles using Named Entities
Hiroyuki TODA, Ryoji KATAOKA, Hiroyuki KITAGAWA,
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Abstract(in English) Due to the growth of the Internet, the amount of information accessible to the public has almost exploded. Especially, news articles are intensively used for latest news watching, retrieving interesting information from news archives and so on. In news archive services, there is a demand to group news articles describing the same event. To address this problem, we use Named Entities in news articles to tell which events the articles describe. In this paper, we present the results of experiments to measure the appearance tendency of named entities in news articles and accuracy of clustering taking named entities into consideration, and discuss validity of the proposed approach.
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Keyword(in English) Information Retrieval / Document Clustering / Named Entities / News Articles
Paper # DE2005-53
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Committee DE
Conference Date 2005/7/6(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Clustering News Articles using Named Entities
Sub Title (in English)
Keyword(1) Information Retrieval
Keyword(2) Document Clustering
Keyword(3) Named Entities
Keyword(4) News Articles
1st Author's Name Hiroyuki TODA
1st Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation:Graduate School of Systems and Information Engineering, University of Tsukuba()
2nd Author's Name Ryoji KATAOKA
2nd Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation
3rd Author's Name Hiroyuki KITAGAWA
3rd Author's Affiliation Graduate School of Systems and Information Engineering, University of Tsukuba:Center for Computational Sciences, University of Tsukuba
Date 2005-07-13
Paper # DE2005-53
Volume (vol) vol.105
Number (no) 171
Page pp.pp.-
#Pages 6
Date of Issue