Experimental study of Chinese free-text IE algorithm based on WCA-selection using Hidden Markov model

Authors:
Qian Liu;Hui Jiao;Hui-bo Jia
Affiliations:
Optical Memory National Engineering Research Center, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China;Optical Memory National Engineering Research Center, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China;Optical Memory National Engineering Research Center, State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing, China
Venue:
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Year:
2008

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Abstract

This paper proposes the extraction task of the Chinese Sci-tech journal text and presents a WCA-Selection Chinese free-text HMM IE algorithm. The HMM IE algorithm takes the Chinese Sci-tech journal abstract text as the extraction text. According to the features of WCA, an idea of WCA selection model re-optimization is proposed. And a WCA selection optimization strategy is concreted. Then the experimental verification is conducted with a satisfied result. The experiment results show that the designed extraction algorithm and WCA selection optimization strategy have good performance in the the Chinese Sci-tech journal abstract text.