文章基本信息

标题：Clause Splitting with Conditional Random Fields
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作者：Vinh Van Nguyen ; Minh Le Nguyen ; Akira Shimazu 等
期刊名称：Information and Media Technologies
电子版ISSN：1881-0896
出版年度：2009
卷号：4
期号：1
页码：57-75
DOI：10.11185/imt.4.57
出版社：Information and Media Technologies Editorial Board
摘要：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.
关键词：Computational Linguistics;Partial Parsing;Clause Splitting