| Presentation | 2011-07-08 Extracting evaluative tuples with structure learning Hajime MORITA, Hiroya TAKAMURA, Manabu OKUMURA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we intend to extract tuples of evaluative expression on targets from web texts. An evaluative tuple contains three types of elements, target, attribute and evaluation. We expand the scope of elements to continuous words instead of a single word to collect more diverse types of expressions. We propose a new method to learn to extract tuples taking into account dependency within expressions, because the target and attribute have a high correlation with evaluation each other. We will discuss an issue and resolution based on the results of experiments on the tagged web texts corpus. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Evaluative expression extraction / Evaluative tuple extraction / Structured output learning / online learning |
| Paper # | NLC2011-17 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2011/6/30(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| 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) | Extracting evaluative tuples with structure learning |
| Sub Title (in English) | |
| Keyword(1) | Evaluative expression extraction |
| Keyword(2) | Evaluative tuple extraction |
| Keyword(3) | Structured output learning |
| Keyword(4) | online learning |
| 1st Author's Name | Hajime MORITA |
| 1st Author's Affiliation | Tokyo Institute of Technology() |
| 2nd Author's Name | Hiroya TAKAMURA |
| 2nd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| 3rd Author's Name | Manabu OKUMURA |
| 3rd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| Date | 2011-07-08 |
| Paper # | NLC2011-17 |
| Volume (vol) | vol.111 |
| Number (no) | 119 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |