RESEARCH ON CHINESE INFORMATION RETRIEVAL BASED ON A HYBRID LANGUAGE MODELING

摘要：

For information retrieval, users hope to acquire more relevant information from the top indexing documents. In this paper, a combination of Ontology with statistical method is presented to retrieval initial document set and improve the precision of top N ranking documents by re-ranking document set. The experiment with NTCIR-3 Chinese CLIR dataset shows the proposed method improved the precision of information retrieval.

关键词： Ontology statistical method linguistic Ontology knowledge information retrieval knowledge acquisition

作者: DE-QUAN ZHENG TIE-JUN ZHAO FENG YU SHENG LI HAO YU

作者单位: School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150001;MOE-MS MOE-MS Key Laboratory of Natural Language Processing and Speech, Harbin Institute of Technology, Har School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150001

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2586-2591

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）