Experimental Study of Chinese Free-Text IE Algorithm Based on WcA-Selection Using Hidden Markov Model

摘要：

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.

作者: Qian Liu Hui Jiao Hui-bo Jia

作者单位: Optical Memory National Engineering Research Center,State Key Laboratory of Precision Measurement Technology and Instruments,Tsinghua University,Beijing100084,China

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 650-655

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）