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New Technology of Library and Information Service  2010, Vol. 26 Issue (5): 43-49    DOI: 10.11925/infotech.1003-3513.2010.05.08
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Study on the Question Processing of Farmer-oriented Question Answering System
Jia Junzhi  Wang Yongfang  Li Ting
(School of Management, Shanxi University, Taiyuan 030006,China)
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In order to improve the convenience of farmers’ access to information, this paper is focused on developing the farmer-oriented question answering system and proposes that the system is composed of four modules: knowledge base construction, question processing, information retrieval, answer extraction, in which question processing is the research priority.  On the basis of concluding the characteristics of farmers’ questions, it proposes the question classification method based on interrogatives and phrases. During the question processing, methods are adopted to classify the questions and extract the keywords effectively, such as removing polite words, establishing special rule table for informal interrogatives and no interrogative and so on. While, the authors take advantage of the synonym extended table to expand keywords, and set different weight benchmarks. The research can lay the foundation for the processing of the information retrieval module.

Received: 26 April 2010      Published: 25 May 2010




Corresponding Authors: wang fang     E-mail:

Cite this article:

Jia Junzhi Wang Yongfang Li Ting. Study on the Question Processing of Farmer-oriented Question Answering System. New Technology of Library and Information Service, 2010, 26(5): 43-49.

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[1] Katz B, Marton G, Borchardt G, et al. The START Natural Language Question Answering System[EB/OL].[2010-01-26].
[2] 樊孝忠,李宏乔,李良富,等.银行领域汉语自动问答系统BAQS的研究与实现[J].北京理工大学学报,2004,24(6):528-532.
[3] PCARRD[DB/OL].[2010-01-26].
[4] ICT Update[DB/OL].[2010-01-26].
[5] AG Answers[DB/OL].[2010-01-26].
[6] 胡昌平,陈果.网络环境下的区域性农业信息集成设计及服务推进[J].情报杂志,2009,28(5):147-154.
[7] 孙素芳,罗长寿,魏清凤.Web农业实用技术自动问答系统设计实现[J].现代图书情报技术,2009(7-8):70-74.
[8] 湖北农业远程教育网[EB/OL]. [2010-01-26].
[9] 刘迁, 贾惠波.中文信息处理中自动分词技术的研究与展望[J].计算机工程与应用,2006, 42 (3): 175-182.
[10] 张俊丽.文本分类中的关键技术研究[D].武汉:华中师范大学, 2008.
[11] Li X, Roth D.Learning Question Classifiers:The Role of Semantic Information [C]. In: Proceeding of the 19th International Conference on Computational Linguistics,Taipei.2002: 556-562.
[12] 文勖, 张宇, 刘挺, 等.基于句法结构分析的中文问题分类[J].中文信息学报,2006, 20 (2): 33-39.
[13] Voorhees E M.Overview of the TREC 2002 Question AnsweringTrack[C].In:Proceedings of the 11th Text Retrieval Conference.Gaithersburg, MD: NIST, 2002:57-68.
[14] Agiehtei E, Lawrenee S, Gravano L. Learning Seareh Engine Specific Query Transformations for Question Answering[C]. In:Proceedings of the 10th World Wide Web Conference,Hong Kong,China.2001.
[15] 郑实福.中文自动问答技术研究[D]. 哈尔滨:哈尔滨工业大学, 2002.
[16] 戴谢宁.基于Web的中文自动问答系统的研究[D].广州:华南理工大学, 2005.

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