| Presentation | 2002/7/9 Methods for Estimating Syntactic Similarity Tetsuro TAKAHASHI, Kentaro INUI, Yuji MATSUMOTO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper discusses how to estimate the similarity of a given pair of syntactic trees. The proposed method, an extension of Collins' Tree Kernel, provides three options for similarity measurement and relaxes the constraints of node/tree matching with the time complexity O(∣T_1∣∣T_2∣). The paper also argues that the proposed method fits the question-answering task. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | similarity estimation / tree structure / dependency structure / tree matching / Tree Kernel |
| Paper # | NLC2002-33 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2002/7/9(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) | Methods for Estimating Syntactic Similarity |
| Sub Title (in English) | |
| Keyword(1) | similarity estimation |
| Keyword(2) | tree structure |
| Keyword(3) | dependency structure |
| Keyword(4) | tree matching |
| Keyword(5) | Tree Kernel |
| 1st Author's Name | Tetsuro TAKAHASHI |
| 1st Author's Affiliation | Graduate School of Information Science, Nara Institute Science and Technology() |
| 2nd Author's Name | Kentaro INUI |
| 2nd Author's Affiliation | Graduate School of Information Science, Nara Institute Science and Technology |
| 3rd Author's Name | Yuji MATSUMOTO |
| 3rd Author's Affiliation | Graduate School of Information Science, Nara Institute Science and Technology |
| Date | 2002/7/9 |
| Paper # | NLC2002-33 |
| Volume (vol) | vol.102 |
| Number (no) | 200 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |