| Presentation | 1995/7/20 A Probabilistic Approach to Topic Identification Tadashi Nomoto, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The paper describes a new method for discovering topical words in discourse. It shows that text categorization techniques can be turned into an effective tool for dealing with the topic discovery problem. Experiments were done on a large Japanese newspaper corpus. It was found that training the model on annotated corpora does lead to an improvement on the topic recognition task. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Japanese Discourse / Text Categorization / Topic Identification |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 1995/7/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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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) | A Probabilistic Approach to Topic Identification |
| Sub Title (in English) | |
| Keyword(1) | Japanese Discourse |
| Keyword(2) | Text Categorization |
| Keyword(3) | Topic Identification |
| 1st Author's Name | Tadashi Nomoto |
| 1st Author's Affiliation | Advanced Research Laboratory, Hitachi Ltd.() |
| Date | 1995/7/20 |
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| Volume (vol) | vol.95 |
| Number (no) | 168 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |