Semantic Role Labeling Based on TongYiCi CiLin Derived Features
LI Guochen1,2,LV Lei2,WANG Ruibo3,LI Jihong3,LI Ru2
1. Department of Computer Engineering, Taiyuan Institute of Technology, Taiyuan, Shanxi 030008,China;
2. School of Computer and Information Technology, Shanxi University, Taiyuan, Shanxi 030006, China;
3. Computer Center, Shanxi University, Taiyuan, Shanxi 030006, China
Abstract：This paper presents an approach to label the semantic roles automatically by using a lexical resource named Tongyici Cilin, in which a CRFs model is constructed by a series of new features derived from the encoded information of Cilin. Compared with the features of word, part-of-speech and word positions, the proposed method investigates the Cilin features on the corpus of Chinese FrameNet (CFN), developed by Shanxi University to describe semantic knowledge. Experimental results show a significant improvement in the performance after adding the features of Cilin information.
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2016, Vol. 30 
