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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9175

Title: Clause Splitting with Conditional Random Fields
Authors: Nguyen, Vinh Van
Nguyen, Minh Le
Shimazu, Akira
Keywords: Computational Linguistics
Partial Parsing
Clause Splitting
Issue Date: 2009
Publisher: The Association for Natureal Language Processing
Magazine name: Information and Media Technologies
Volume: 4
Number: 1
Start page: 57
End page: 75
Abstract: 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
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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