Presentation 2000/5/2
Automatic Viewpoints Extraction and Structuring in News Speech Article Database
Seiichi Takao, Jun Ogata, Yasuo Ariki,
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Abstract(in English) Recently, TV news programs are broadcast from all over the world owing to the broadcast digitization. In this situation, TV viewers want to select and watch the most interesting news articles. In order to satisfy this requirement, a system is required which can retrieve news documents related to TV viewer's interest. So far news articles related to TV viewer's queries are only retrieved. Consequently, it is difficult to retrieve the related news articles in a case where TV viewers can not give queries clearly and definitely. To solve this problem, in this paper, we propose a system which can structure the news speech article database by extracting viewpoints automatically and classifying the articles based on the extracted viewpoints. As an experimental result, it was found that the system is effective when TV viewers can not give queries clearly and definitely.
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Keyword(in English) automatic viewpoint extraction / news speech / hierarchical structure / large vocabulary continuous speech recognition
Paper # DE2000-12
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Committee DE
Conference Date 2000/5/2(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Viewpoints Extraction and Structuring in News Speech Article Database
Sub Title (in English)
Keyword(1) automatic viewpoint extraction
Keyword(2) news speech
Keyword(3) hierarchical structure
Keyword(4) large vocabulary continuous speech recognition
1st Author's Name Seiichi Takao
1st Author's Affiliation Faculty of Science and Technology, Ryukoku University()
2nd Author's Name Jun Ogata
2nd Author's Affiliation Faculty of Science and Technology, Ryukoku University
3rd Author's Name Yasuo Ariki
3rd Author's Affiliation Faculty of Science and Technology, Ryukoku University
Date 2000/5/2
Paper # DE2000-12
Volume (vol) vol.100
Number (no) 31
Page pp.pp.-
#Pages 8
Date of Issue