Abstract

As technology developed the use of internet has tremendously increased because of the availability of huge amount of data. Question answering is a specialized area in the field of information retrieval Text Processing. Question Answering system has many application based on source of answering like extracting information from document, language learning, online examination etc.

References

• Chun-Chia Wang; Hung, J.C.; Che-Yu Yang; Shih, T.K., "An Application of Question Answering System for Collaborative Learning," in Distributed Computing Systems Workshops, 2006. ICDCS Workshops 2006. 26th IEEE International Conference on , vol., no., pp.49-49, 04-07 July 2006
• Hirschman L., Gaizauskas R. Natural Language Engineering Cambridge University Press. (2001)
• Ajitkumar Pundge, et al, “online learning different approaches and necessity for assessment”, proceeding of the international conference on recent trends and challenges in science and Technology (RTCST2014) on 20-22 August 2014 at padmashri vikhe patil college of Arts, science and commerce, pravaranagar Ahmednagar (MS), India.
• Stefanie Tellex, "Pauchok: A Modular Framework for question Answering", Master Thesis Submitted to the Department of Electrical Engineering and computer science, Maccachusetts institute of Technology, June 2003.
• Haiqing Hu, "A study on Question Answering System Using Integrated retrieval method", Phd Thesis Submitted to Graduate school of engineering at the University of Tokushima, February, 2006
• Yun Niu, "Analysis of Semantic classes: Toward Non-Factoid question answering", Phd Thesis submitted Graduate Department of Computer science, University of Toronto, 2007
• Hakan Sundblad, "Question Classification in Question Answering systems", Phd Thesis Submitted to Department of Computer and information Science at Linkoping University, 2007
• Biplab Ch. Das, "A Survey on Question Answering System", Department of Computer Science & Engineering, Indian Institute of Technology, Bombay.
• John Burger et al, issues, task and program structure to roadmap research in question answering (Q&A). 1st January 2001
• Unmesh sasikumar, Sindhu L, "A survey of Natural Language question answering system", international journal of computer applications (0975-8887), volume 108 -No 15. December 2014
• Green BF, Wolf AK, Chomsky C, and Laughery K. Baseball: An automatic question answerer. In
• Proceedings of Western Computing Conference, Vol. 19, 1961, pp. 219–224.
• Woods W. Progress in Natural Language Understanding - An Application to Lunar Geology. In Proceedings of AFIPS Conference, Vol. 42, 1973, pp. 441–450.
• Weizenbaum J. ELIZA - a computer program for the study of natural language communication between man and machine. In Communications of the ACM, Vol. 9(1), 1966, pp. 36-45.
• Bobrow DG, Kaplan RM, Kay M, Norman DA, Thompson H, and Winograd T. Gus, a frame-driven dialog system. Artificial Intelligence, Vol. 8(2), 1977, pp. 155-173.
• Clark P, Thompson J, and Porter B. A knowledge-based approach to question answering. In Proceedings of AAAI’99 Fall Symposium on Question-Answering Systems, 1999, pp. 43-51.
• http://start.csail.mit.edu/index.php
• Mishra A, Mishra N, Agrawal A. Context-aware restricted geographical domain question answering system. In Proceedings of IEEE International Conference on Computational Intelligence and Communication Networks (CICN), 2010, pp. 548-553.
• Riloff E and Thelen M. A Rule-based Question Answering System for Reading Comprehension Tests. In ANLP /NAACL Workshop on Reading Comprehension Tests as Evaluation for Computer-Based Language Understanding Systems, Vol. 6, 2000, pp. 13-19.
• Hao X, Chang X, Liu K. A Rule-based Chinese question Answering System for reading Comprehension Tests. In 3rd International Conference on International Information hiding and Multimedia Signal Processing (IIH-MSP 2007), Vol. 2, 2007, pp.325-329.
• Unmesh sasikumar, Sindhu L, "A survey of Natural Language question answering system", international journal of computer applications(0975-8887), volume 108 -No 15. December 2014
• Sanjay K. Dwivedi and vaishali singh “Research and reviews in question answering system”, International Conference on Computational Intelligence: Modeling Techniques and Applications CIMTA) 2013 Procedia Technology 10 ( 2013 ) 417 – 424
• Ittycheriah A, Franz M, Zhu WJ, Ratnaparkhi A and Mammone RJ. IBM’s statistical question answering system. In Proceedings of the Text Retrieval Conference TREC-9, 2000.
• Cai D, Dong Y, Lv D, Zhang G, Miao X. A Web-based Chinese question answering with answer validation. In Proceedings of IEEE International Conference on Natural Language Processing and Knowledge Engineering, pp. 499-502, 2005.
• Soricut R and Brill E. Automatic question answering using the web: Beyond the factoid. In Journal of Information Retrieval-Special Issue on Web Information Retrieval, Vol. 9(2), 2006, pp. 191-206.
• Suzuki J, Sasaki Y, Maeda E. SVM answer selection for open domain question answering. In Proceedings of 19th International Conference on Computational linguistics, COLING’02, Vol. 1, 2002, pp. 1-7.
• Moschitti A. Answer filtering via text categorization in question answering systems. In Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence, 2003, pp. 241-248.
• Zhang K, Zhao J. A Chinese question answering system with question classification and answer clustering. In Proceedings of IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Vol.6, 2010, pp. 2692-2696.
• Quarteroni S, and Manandhar S. Designing an interactive open-domain question answering system. Natural Language Engineering, Vol.15(1), 2009, pp. 73-95.
• Berger A, Caruana R, Cohn D, Freitag D, and Mittal V. Bridging the lexical chasm: statistical approaches to answer-finding. In Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, 2000, pp. 192-199.
• Ravichandran D and Hovy E. Learning surface text patterns for a question answering system. In
• proceeding of 40th Annual Meeting on Association of Computational Linguistics, 2002, pp. 41-47.
• Deepak Ravichandran, Abraham Ittycheriah and salim roukos, “Automatic Derivation of surface text pattern for a maximum Entropy Based question answering system”, Work done while the author was an intern at IBM TJ Watson research center during summer 2002.
• Vanitha guda et el, "Approaches for question answering systems", international Journal of Engineering science and technology (IJEST), ISSN:0975-5462, Vol.3 No.2 Feb 2011.
• Chung H, Song YI, Han KS, Yoon DS, Lee JY, and Rim HC. A Practical QA System in Restricted Domains. In Workshop on Question
• Answering in Restricted Domains. 42nd Annual Meeting of the Association for Computational Linguistics (ACL), 2004, pp. 39-45.
• Ravichandran D and Hovy E. Learning surface text patterns for a question answering system. In proceeding of 40th Annual Meeting on Association of Computational Linguistics, 2002, pp. 41-47.
• Soubbotin MM and Soubbotin SM. Patterns of Potential Answer Expressions as Clues to the Right Answer. In Proceeding of the TREC-10, NIST, 2001, pp. 175-182.
• Zhang D and Lee WS. Web based pattern mining and matching approach to question answering. In Proceedings of the 11th Text Retrieval Conference, 2002.
• Greenwood M. and Gaizauskas R. Using a Named Entity Tagger to Generalise Surface Matching Text Patterns for Question Answering. In Proceedings of the Workshop on Natural Language Processing for Question Answering (EACL03), 2003, pp. 29-34.
• Cui H, Kan MY and Chua TS. Soft pattern matching models for definitional question answering. In ACM Transactions on Information Systems (TOIS), Vol. 25(2): 8, 2007.
• Saxena AK, Sambhu GV, Kaushik S, and Subramaniam LV. Iitd-ibmirl system for question answering using pattern matching, semantic type and semantic category recognition. In Proceedings of the TREC, Vol. 2007, 2007.
• Christina Unger, Lorenz Buhmann, Jens Lehmann, “Template-based question answering over RDF data”, WWW2012-session: Ontology Representation and Querying:RDF and SPARQL, April 16-20, 2012, lyon, France.
• Chung H, Song YI, Han KS, Yoon DS, Lee JY, and Rim HC. A Practical QA System in Restricted Domains. In Workshop on Question Answering in Restricted Domains. 42nd Annual Meeting of the Association for Computational Linguistics (ACL), 2004, pp. 39-45.
• Sneiders E. Automated question answering using question templates that cover the conceptual model of the database. In Natural Language Processing and Information Systems, Springer Berlin Heidelberg, 2002, pp. 235-239.
• Gunawardena T, Lokuhetti M, Pathirana N, Ragel R, Deegalla S. An automatic answering system with template matching for natural language questions. In Proceedings of 5th IEEE International Conference on Information and Automation for Sustainability (ICIAFs), 2010, pp. 353-358.
• Unger C, Bühmann L, Lehmann J, Ngonga Ngomo AC, Gerber D and Cimiano P. Template-based question answering over RDF data. In Proceedings of the ACM 21st international conference on World Wide Web, 2012, pp. 639-648.
• Prud’hommeaux E, Seaborne A(eds.). SPARQL Query Language for RDF. http://www.w3.org/TR/rdf-sparql-query/, 2007.
• Hao X, Chang X, Liu K. A Rule-based Chinese question Answering System for reading Comprehension Tests. In 3rd International Conference on International Information hiding and and Multimedia Signal Processing (IIH-MSP 2007), Vol. 2, 2007, pp.325-329.
• Kwok C, Etzioni O and Weld DS. Scaling question answering to the Web. ACM Transactions on Information Systems (TOIS), Vol.19 (3), 2001, pp. 242-262.
• Ramakrishnan G, Chakrabarti S, Paranjpe Dand Bhattacharya P. Is question answering an acquired skill?. In Proceedings of the 13th ACM international conference on World Wide Web, 2004, pp. 111-120.
• Xia L, Teng Z, and Ren F. An Integrated Approach for Question Classification in Chinese Cuisine Question Answering System. In IEEE second International Symposium on Universal Communication, 2008, pp. 317-321.
• Lee YH, Lee CW, Sung CL, Tzou MT, Wang CC, Liu SH, Shih CW, Yang PY and Hsu WL. Complex question answering with ASQA at NTCIR-7 ACLIA. In Proceedings of NTCIR-7 Workshop Meetings, Entropy, 1, 10, 2008.
• Ferrucci D, Brown E, Chu-Carroll J, Fan J, Gondek D, Kalyanpur AA, Lally A et al. Building Watson: An overview of the DeepQA project. AI magazine 31, no. 3, 2010, pp. 59-79.
• Khillare S. A., Dhokrat A. V. and Mahender C.N., Analysis Of Question Answering And Parsing Techniques in Natural Language Processing : A Review, Advances in Computational Research, BIOINFO Publications, ISSN: 0975-3273 & E-ISSN: 0975-9085, Volume 7, Issue 1, 2015.