期刊文献+

基于查询模板的特定领域中文问答系统的研究与实现 被引量:3

Research and implementation of domain-specific chinese QA system based on searching template
下载PDF
导出
摘要 随着网络信息的爆炸性增长,传统的搜索引擎已经不能满足人们的需求,从而促使对问答系统(Question AnsweringSystem,QAS)的研究.文中介绍了基于查询模板的问答系统框架结构,定义了关键词词典和查询模板的结构,并且介绍了基于关键词词典的分词算法、查询模板存储结构以及模板匹配算法.在此基础上实现了基于铁路领域的问答系统,实验结果表明该系统具有很高的准确率和识别率. With the blast of information available on the web,the relevant documents set returned by search engineer can not meet the user′s needs,and the question answer system research is promoted.Based on searching template,the structure of QA system is introduced.Moreover,the structure of the dictionary of
出处 《江苏科技大学学报(自然科学版)》 CAS 北大核心 2011年第2期163-168,共6页 Journal of Jiangsu University of Science and Technology:Natural Science Edition
关键词 问答系统 查询模板 分词 句型解析树 模板匹配 and searching template the word segmentation algorithm based on the dictionary of keyword the storage of searching template and the algorithm of template matching are defined.On the foundation the QA system is implemented based on railway domain.The experimental result shows that the system has very high accuracy and recognition rate.Key words: question answering system searching template word segmentation syntactic parsing tree template matching
  • 相关文献

参考文献9

二级参考文献30

  • 1周强,俞士汶.汉语短语标注标记集的确定[J].中文信息学报,1996,10(4):1-11. 被引量:35
  • 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288

同被引文献23

引证文献3

二级引证文献6

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