Towards Context Query Information Extraction Based on Single Document
Hang Yueqin1 Yao Ying1 Shen Jie2
1(Institute of Computer Science and Technology, Nantong University, Nantong 226006, China) 2(Department of Computer Science and Engineering, College of Information Engineering, Yangzhou University, Yangzhou 225009, China)
Based on single document, this paper puts foward an approach in which global analysis is combined with local analysis is proposed to extract the information of the query. By global analysis, keywords are extracted from the whole document to reflect the user’s research preference. While in local analysis step, query is disambiguated by extracting keywords from the text that is around the marked query. The results of the experiment show that the method above can reflect the query information more comprehensive and improve the relevance of the information retrieval.
杭月芹,姚滢,沈洁 . 基于单文档的上下文查询信息抽取*[J]. 现代图书情报技术, 2006, 1(10): 30-33.
Hang Yueqin,Yao Ying,Shen Jie . Towards Context Query Information Extraction Based on Single Document. New Technology of Library and Information Service, 2006, 1(10): 30-33.
1Steve Lawrence, Context in Web Search, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2000: 25-32
2Xuehua Shen,Chengxiang Zhai Exploiting Query History for Document Ranking in Interactive Information Retrieval,In : Proceedings of SIGIR'03 (Poster), 2003: 377-378
3Finkelstein L, Gabrilovich E, Matias Y, Rivlin E, Solan A, Wolfman G, Ruppin E. Placing search in context: the concept revisited. ACM Transactions on Information Systems, 2002, 20(1): 116-131
4Mohammed A Razek, Claude Frasson, Marc Kaltenbach A Context-Based Information Agent for Supporting Intelligent Distance Learning Environments, Twelfth International World Wide Web Conference, Budapest, 2003
5Fürnkranz J. A study using n-grams features for text categorization Technical Report OEFAI-TR-98-30, 1998: 1-10
6Matsuo Y, Ishizuka M. Keyword Extraction from a Single Document using Word Co-occurrence Statistical Information, International Journal on Artificial Intelligence Tools, 2004, 13 (1): 157-169
7Kenneth Ward Church, Patrick Hanks Word association norms, mutual information and lexicography, In Proceeding of ACL 27, 1989: 76-83
8Porter M. An algorithm for suffix stripping Program, 1980, 14(3):130-137
9Alan Turing Computing machinery and intelligence, Mind 59, 1950: 433-460
10常学将,胡文明等译数理统计初级教程太原:山西人民出版社,1986