Presentation | 2006-07-28 Analysis on Manual Identification of Inter-sentential Discourse Relation Manami SAITO, Kazuhide YAMAMOTO, Satoshi SEKINE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We aim to make a system which identifies a discourse relation between sentences automatically. We previously proposed a method which identifies the discourse relation between two successive sentences using statistics given by a huge corpus, and the accuracy was 65%. In this paper, in order to improve the accuracy, we observe human identification results of this task. Three subjects identify the discourse relation by two ways: one uses whole text, the other uses only two sentences. Our observation shows the relationship for each discourse relation in visually. Moreover, relevance of the relationship was explored with comparing the result of SVM. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | discourse relations / manual identification / SVM |
Paper # | NLC2006-12 |
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Committee | NLC |
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Conference Date | 2006/7/21(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) | Analysis on Manual Identification of Inter-sentential Discourse Relation |
Sub Title (in English) | |
Keyword(1) | discourse relations |
Keyword(2) | manual identification |
Keyword(3) | SVM |
1st Author's Name | Manami SAITO |
1st Author's Affiliation | Nagaoka University of Technology() |
2nd Author's Name | Kazuhide YAMAMOTO |
2nd Author's Affiliation | Nagaoka University of Technology |
3rd Author's Name | Satoshi SEKINE |
3rd Author's Affiliation | New York University |
Date | 2006-07-28 |
Paper # | NLC2006-12 |
Volume (vol) | vol.106 |
Number (no) | 191 |
Page | pp.pp.- |
#Pages | 6 |
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