| Presentation | 1998/7/23 Comparison of several statistical parsing methods for Japanese bunsetsu dependency Terumasa EHARA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Several statistical methods for Japanese bunsetsu dependency analysis are compared. These methods are a) maximum entropy method, b) simplified maximum entropy method, c) decision tree method and d) WINNOW algorithm method. The base line method uses two features: 1)distance between dependant and head, 2)type of head. The bunsetsu dependency accuracy for these methods are a) 89.0% b) 88.3% c) 86.5% and) 85.9% compared with the base line accuracy 86.2%. These result is obtained by open test for the GA-case-bunsetsu (subject phrase) dependency in TV news articles. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Japanese bunsetsu dependency analysis / statistical method / maximum entropy / decision tree / WINNOW algorithm |
| Paper # | NLC98-10 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 1998/7/23(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) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison of several statistical parsing methods for Japanese bunsetsu dependency |
| Sub Title (in English) | |
| Keyword(1) | Japanese bunsetsu dependency analysis |
| Keyword(2) | statistical method |
| Keyword(3) | maximum entropy |
| Keyword(4) | decision tree |
| Keyword(5) | WINNOW algorithm |
| 1st Author's Name | Terumasa EHARA |
| 1st Author's Affiliation | NHK Science and Technical Research Laboratories() |
| Date | 1998/7/23 |
| Paper # | NLC98-10 |
| Volume (vol) | vol.98 |
| Number (no) | 209 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |