Presentation | 2012-08-30 Clause Classification-based Retrieval of Demand Expressions from Local Assemblies Minutes Fumitoshi ASHIHARA, Yasutomo KIMURA, Kenji ARAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we show how to estimate a verb that expresses a demand within a question to a city assemblyman in order to achieve an effective use of local assembly minutes which are available to the public on the Web. One of the problems of our task is that modality is not connected to a verb. Therefore, we apply clause-classification to solve this problem. Comparing with the baseline, experimental results show the effectiveness of our approach. It obtained 4.6 F-score increases with only modality and 9.3 F-score increases with modality and clause-classification. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | demand expression / modality / clause-classification |
Paper # | NLC2012-10 |
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Committee | NLC |
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Conference Date | 2012/8/23(1days) |
Place (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) | Clause Classification-based Retrieval of Demand Expressions from Local Assemblies Minutes |
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Keyword(1) | demand expression |
Keyword(2) | modality |
Keyword(3) | clause-classification |
1st Author's Name | Fumitoshi ASHIHARA |
1st Author's Affiliation | Graduate School of information Science and Technology, Hokkaido University() |
2nd Author's Name | Yasutomo KIMURA |
2nd Author's Affiliation | Department of Information and Management Science, Otaru University Of Commerce |
3rd Author's Name | Kenji ARAKI |
3rd Author's Affiliation | Graduate School of information Science and Technology, Hokkaido University |
Date | 2012-08-30 |
Paper # | NLC2012-10 |
Volume (vol) | vol.112 |
Number (no) | 196 |
Page | pp.pp.- |
#Pages | 6 |
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