Presentation | 1998/12/10 Topic Segmentation and Classification to News Speech Seiichi Takao, Jun Ogata, Yasuo Ariki, |
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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 |
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Committee | NLC |
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Conference Date | 1998/12/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Natural Language Understanding and Models of Communication (NLC) |
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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 |
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