Presentation 1998/12/10
Topic Segmentation and Classification to News Speech
Seiichi Takao, Jun Ogata, Yasuo Ariki,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to construct a news database with a function of video on demand(VOD), it is required to classify a news articles into topics. So far, the article classification has been done to the articles, segmented in advance from the continuous news speech. However, in the case where the articles are not segmented, it was difficult to apply the classification to the continuous news speech. From this viewpoint, we propose a segmentation and classification method of the news articles from the continuous news speech.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) article classification / supervised topic segmentation / unsupervised topic segmentation
Paper # NLC98-39,SP98-103
Date of Issue

Conference Information
Committee NLC
Conference Date 1998/12/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Topic Segmentation and Classification to News Speech
Sub Title (in English)
Keyword(1) article classification
Keyword(2) supervised topic segmentation
Keyword(3) unsupervised topic segmentation
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 1998/12/10
Paper # NLC98-39,SP98-103
Volume (vol) vol.98
Number (no) 460
Page pp.pp.-
#Pages 8
Date of Issue