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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/8496

タイトル: Online Structured Learning for Semantic Parsing with Synchronous and λ-Synchronous Context Free Grammars
著者: Nguyen, Le-Minh
Shimazu, Akira
Phan, Xuan Hieu
Nguyen, Phuong Thai
発行日: 2008-11
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: 20th IEEE International Conference on Tools with Artificial Intelligence, 2008. ICTAI '08.
開始ページ: 135
終了ページ: 142
DOI: 10.1109/ICTAI.2008.96
抄録: We formulate semantic parsing as a parsing problem on a synchronous context free grammar (SCFG) which is automatically built on the corpus of natural language sentences and the representation of semantic outputs. We then present an online learning framework for estimating the synchronous SCFG grammar. In addition, our online learning methods for semantic parsing problems are also extended to deal with the case, in which the semantic representation could be represented under λ-calculus. Experimental results in the domain of semantic parsing show advantages in comparison with previous works.
Rights: Copyright (C) 2008 IEEE. Reprinted from 20th IEEE International Conference on Tools with Artificial Intelligence, 2008. ICTAI '08., 135-142. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
URI: http://hdl.handle.net/10119/8496
資料タイプ: publisher
出現コレクション:b11-1. 会議発表論文・発表資料 (Conference Papers)


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