Automatic acquisition of phrase semantic rule for Chinese

Authors:
Xu-Ling Zheng;Chang-Le Zhou;Xiao-Dong Shi;Tang-Qiu Li;Yi-Dong Chen
Affiliations:
College of Information Science and Technology, Xiamen University, Xiamen, China;College of Information Science and Technology, Xiamen University, Xiamen, China;College of Information Science and Technology, Xiamen University, Xiamen, China;College of Information Science and Technology, Xiamen University, Xiamen, China;College of Information Science and Technology, Xiamen University, Xiamen, China
Venue:
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Year:
2008

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Abstract

The semantic collocations play important roles in parsing Chinese phrases. They are useful for both semantic disambiguation and structural disambiguation. In this paper, a representation of phrase semantic rules for Chinese is presented to formulate such knowledge, and a corpus-based method was proposed to acquire phrase semantic rules from a Chinese phrase corpus annotated with syntactic and semantic information. The method includes a metarule-guided algorithm for mining cross-level association rules to acquire phrase semantic rules and an optimization algorithm to filter these rules. The experiment results showed the effectiveness of the method. Disambiguation performance of these resulting rules was quiet well.