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http://hdl.handle.net/10119/9175
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| 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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| 13886.pdf | | 354Kb | Adobe PDF | View/Open |
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