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Automatic Discovery of Telic and Agentive Roles from Corpus Data
http://hdl.handle.net/2065/565
http://hdl.handle.net/2065/565f15a2fd6-bc33-411d-b725-0486f999a02f
名前 / ファイル | ライセンス | アクション |
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2008-04-28 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Automatic Discovery of Telic and Agentive Roles from Corpus Data | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
山田, 一郎
× 山田, 一郎× Baldwin, Timothy |
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著者別名 |
Yamada, Ichiro
× Yamada, Ichiro |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We present two methods for automatically discovering the telic and agentive roles of nouns from corpus data. These relations form part of the qualia structure assumed in generative lexicon theory, where the telic role represents a typical purpose of the entity and the agentive role represents the origin of the entity. The first discovery method uses hand-generated templates for each role type, and the second employs a supervised machine-learning technique. To evaluate the effectiveness of the two methods, we took a sample of 30 nouns, selected 50 verbs for each, and then generated a ranked list of verbs for a given noun. Using a variant of Spearman’s rank correlation, we demonstrate the ability of the methods to identify qualia structure. | |||||
書誌情報 | p. 115-126, 発行日 2005-11-16 | |||||
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主題Scheme | NDC | |||||
主題 | 801.06 | |||||
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主題Scheme | LCSH | |||||
主題 | Computational linguistics--Congresses | |||||
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出版者 | Logico-Linguistic Society of Japan | |||||
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内容記述タイプ | Other | |||||
内容記述 | text | |||||
HDL URI | ||||||
http://hdl.handle.net/2065/565 |