Presentation | 2011-10-11 Construction of Japanese Semantic Role Label Identification System Based on Very Small Correct Examples Suguru TSUCHIYAMA, Koichi TAKEUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a method to identify semantic role labels utilizing a few correctly label-annotated examples. The similarity between input sentence and correct labeled example sentences is evaluated by manually denned similarity function. This is because a statistical learning model doesn't work well without many correct examlpes. We develop Japanese semantic role label identification system based on the proposal method. Moreover, this system can be added deverbal compound analyzer and idiom identification system. We also report the comparison between the proposal method and CRFs in the experiment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Disambiguation of verb meanings / Frame / Argument structure analyzer |
Paper # | TL2011-37,NLC2011-34 |
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Committee | TL |
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Conference Date | 2011/10/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Thought and Language (TL) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Construction of Japanese Semantic Role Label Identification System Based on Very Small Correct Examples |
Sub Title (in English) | |
Keyword(1) | Disambiguation of verb meanings |
Keyword(2) | Frame |
Keyword(3) | Argument structure analyzer |
1st Author's Name | Suguru TSUCHIYAMA |
1st Author's Affiliation | Graduate School of Natural Science and Technology, Okayama University() |
2nd Author's Name | Koichi TAKEUCHI |
2nd Author's Affiliation | Graduate School of Natural Science and Technology, Okayama University |
Date | 2011-10-11 |
Paper # | TL2011-37,NLC2011-34 |
Volume (vol) | vol.111 |
Number (no) | 227 |
Page | pp.pp.- |
#Pages | 4 |
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