A New Model for Question Answering Systems
Description
Most of the Question Answering systems composed of three main modules: question processing, document processing and answer processing. Question processing module plays an important role in QA systems. If this module doesn't work properly, it will make problems for other sections. Moreover answer processing module is an emerging topic in Question Answering, where these systems are often required to rank and validate candidate answers. These techniques aiming at finding short and precise answers are often based on the semantic classification. This paper discussed about a new model for question answering which improved two main modules, question processing and answer processing. There are two important components which are the bases of the question processing. First component is question classification that specifies types of question and answer. Second one is reformulation which converts the user's question into an understandable question by QA system in a specific domain. Answer processing module, consists of candidate answer filtering, candidate answer ordering components and also it has a validation section for interacting with user. This module makes it more suitable to find exact answer. In this paper we have described question and answer processing modules with modeling, implementing and evaluating the system. System implemented in two versions. Results show that 'Version No.1' gave correct answer to 70% of questions (30 correct answers to 50 asked questions) and 'version No.2' gave correct answers to 94% of questions (47 correct answers to 50 asked questions).
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References
- Demner-Fushman, Dina, "Complex Question Answering Based on Semantic Domain Model of Clinical Medicine", OCLC's Experimental Thesis Catalog, College Park, Md.: University of Maryland (United States), 2006.
- Doan-Nguyen Hai, Leila Kosseim, "The Problem of Precision in Restricted-Domain Question Answering. Some Proposed Methods of Improvement", In Proceedings of the ACL 2004 Workshop on Question Answering in Restricted Domains, Barcelona, Spain, Publisher of Association for Computational Linguistics, July 2004, PP.8-15.
- Green, W., Chomky, C., Laugherty, K. BASEBALL: "An automatic question answer". Proceeding of the western Joint Computer Conference, 1961, PP. 219-224.
- Figueira, H. Martins, A. Mendes, A. Mendes, P. Pinto, C. Vidal, D ,"Priberam's Question Answering System in a Cross-Language Environment",LECTURE NOTES IN COMPUTER SCIENCE, Volume 4730, 2007,PP. 300-309.
- Dan Moldovan, Sanda Harabagiu, Marius Pasca, Roxana Girgu, " The Structure and Performance of an Open-domain Question Answering System", Proceedings of the 38th Annual Meeting on Association for Computational Linguistics Hon Kong, 2000, PP. 563-570,.
- Cody Kwok, Oren Etzioni, Daniel S. Weld, "Scaling Question Answering to the Web", Proceedings of the 10th international conference on World Wide Web, Hong Kong , 2001,PP. 150-161.
- Maria Varges, Verona and Enrico Motta, "AQUA, A Knowledge-Based Architecture for a Question Answering System", Tech Report Kmi-o4- 15, Knowledge media institute Milton Keynes, England, 2004.
- Lehnert, W. G. "A conceptual theory of question answering". In International Joint Conference on Artificial Intelligence (IJCAI 1977), 1977, PP. 158-164.
- Garg, A. X.; Adhikari, N. K. J.; McDonald, H.; Rosas-Arellano, M. P.; Devereaux,P. J.; Beyene, J.; Sam, J.; and Haynes, R. B. E.ects of "computerized clinical decision support systems on practitioner performance and patient outcomes". The Journal of the American Medical Association 293(10), 2005, pp.1223-1238. [10] Alexander Panossian, Georg Wikman , "Knowledge Bases in Medicine: a review". Journal of Ethno pharmacology, Bulletin of the Medical Library Association ,Volume 118, Issue 2, 23 July 2007, PP. 183-212. [11] Magnini, B., Negri, M., Prevete, R., Tanev, H.: "Comparing Statistical and Content-Based Techniques for Answer Validation on the Web", Proceedings of the VIII Convegno AI*IA, Siena, Italy, 2002. [12] Magnini, B., Negri, M., Prevete, R., Tanev, H.: "Is It the Right Answer? Exploiting Web Redundancy for Answer Validation", Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL-2002), Philadelphia, PA. 2002. [13] Magnini, B., Negri, M., Prevete, R., Tanev, H.: "A WordNet-Based Approach to Named Entities Recognition", Proceedings of SemaNet02, COLING Workshop on Building and Using Semantic Networks, Taipei, Taiwan, 2002. [14] Hai Doan-Nguyen, Leila Kosseim: "Improving the Precision of a Closed-Domain Question-Answering System with Semantic Information", ACL 2004 Workshop on Question Answering in Restricted Domain,2004- acl.ldc.upenn.edu