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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/10119/9175

タイトル: Clause Splitting with Conditional Random Fields
著者: Nguyen, Vinh Van
Nguyen, Minh Le
Shimazu, Akira
キーワード: Computational Linguistics
Partial Parsing
Clause Splitting
発行日: 2009
出版者: The Association for Natureal Language Processing
誌名: Information and Media Technologies
巻: 4
号: 1
開始ページ: 57
終了ページ: 75
抄録: In this paper, we present a Conditional Random Fields (CRFs) framework for the Clause Splitting problem. We adapt the CRFs model to this problem in order to use very large sets of arbitrary, overlapping and non-independent features. We also extend N-best list by using the Joint-CRFs (Shi and Wang 2007). In addition, we propose the use of rich linguistic information along with a new bottom-up dynamic algorithm for decoding to split a sentence into clauses. The experiments show that our results are competitive with the state-of-the art results.
Rights: Copyright (C) 2008 The Association for Natureal Language Processing. Vinh Van Nguyen, Minh Le Nguyen, and Akira Shimazu, Information and Media Technologies, 4(1), 2009, 57-75.
URI: http://hdl.handle.net/10119/9175
資料タイプ: publisher
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)


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