期刊文献+

基于网络的智能答疑系统的研究 被引量:3

Study of Network-Based Intelligent Question Answering System
下载PDF
导出
摘要 基于常见问题答案库的答疑系统的基本设计方案是以固定问题答案对作为答案材料,该方案所提供的用户服务有限,限制了系统的答疑能力。本系统采用的基于网络的智能答疑系统是把蕴涵丰富学科知识的学科文档库作为部分知识库,与常见问题答案库相结合,采用布尔模型和向量空间模型相结合的检索模型实现在文档库中自动检索答案的策略。该系统里的知识得到了丰富,解答问题的面也扩大了,增强了系统的答疑能力和实用性。 Based on the FAQ- based intelligent answering system, a new intelligent answering system is introduced. FAQ database and text database which contain abundant knowledge of some courses are used as this system's knowledge base, and natural language understanding technology and information retrieval technology are used to complete this system. The new way enhances the system's answering ability.
出处 《微机发展》 2005年第8期120-123,共4页 Microcomputer Development
基金 河南省科技厅科技攻关项目(0424220146) 河南大学教改项目
关键词 智能答疑系统 信息检索 FAQ库 学科文档库 intelligent question answering system information retrieval FAQ database text database
  • 相关文献

参考文献5

二级参考文献28

  • 1俞士汶,朱学锋,王惠,张芸芸.现代汉语语法信息词典规格说明书[J].中文信息学报,1996,10(2):1-22. 被引量:34
  • 2[8]Ulf Hermjakob. Parsing and Question Classification for Question Answering. Proceeding of the workshop on Open-Domain Question Answering at ACL-2001
  • 3[9]Eugene Agichtein, Steve Lawrence, Luis Gravano. Learning Search Engine Specific Query Transformations for Question Answering. ACM 2001,169- 178
  • 4[10]Soo-Min Kim, ae-Ho Baek, Sang-Beom Kim, Hae-Chang Rim Question Answering Considering Semantic Categories and Co-occurrence Density. Proceedings of the night Text Retrieval Conference (TREC-9)
  • 5[11]Marius Pasca, Sanda Harabagiu. High-Performance Question/Answering. 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ( Sigir-01 ). New Orleans, LA. September 9 - 13,2001
  • 6[1]Ittycheriah,M. Franz,W-J Zhu,A. Ratnaparkhi. IBM's Statistical Question Answering System. Proceedings of the night Text Retrieval Conference (TREC-9)
  • 7[2]D. Elworthy. Question Answering Using a Large NLP System. Proceedings of the night Text Retrieval Conference (TREC-9)
  • 8[3]L. Wu,X-j Huang,Y. Guo,B. Liu,Y. Zhang. FDU at TREC-9:CLIR,Filtering and QA Tasks. Proceedings of the night Text Retrieval Conference(TREC-9)
  • 9[4]R.J. Cooper, S. M. Rüger. A Simple Question Answering System. Proceedings of the night Text Retrieval Conference(TREC-9)
  • 10[5]C.L.A. Clarke, G. V. Cormack, D. I. E. Kisman, T. R. Lynam. Question Answering by Passage Selection. Proceedings of the night Text Retrieval Conference (TREC-9)

共引文献174

同被引文献30

引证文献3

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部