Using Conditional Random Fields for Clause Splitting
نویسندگان
چکیده
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 a very large sets of arbitrary, overlapping and non-independent features. In addition, we propose the use of rich linguistic information along with a new bottomup dynamic algorithm for decoding to split a sentence into clauses. The experiments show that our result are competitive with the previous results.
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تاریخ انتشار 2007