Keywords
Question Answering Systems
e-Learning
Natural Language Processing
ICT in Education
How to Cite
Abstract
An automatic web based Question Answering (QA) system is a valuable tool for improving e-learning and education. Several approaches employ natural language processing technology to understand questions given in natural language text, which is incomplete and error-prone. In addition, instead of extracting exact answer, many approaches simply return hyperlinks to documents containing the answers, which is inconvenient for the students or learners. In this paper we develop technique to detect the type of a question, based on which the proper technique for extracting the answer is used. The system returns only blocks or phrases of data containing the answer rather than full documents. Therefore, we can highly improve the efficiency of Web QA systems for e-learning.References
Ajitkumar,M. P., Khillare ,S. A., Mahender, C. N. 2016. Question Answering System, Approaches and Techniques: A Review. International Journal of Computer Applications , Vol. 141, No.3, 34-39.
Bao, J., Duan, N., Zhou, M., and Zhao, T. 2014. Knowledge-based question answering as machine translation. In: The 52nd Annual Meeting of the Association for Computational Linguistics, 1272−1294.
Berant, J., Chou, A., Roy, F., and Percy L. 2013. Semantic parsing on freebase from question-answer pairs. In: The 2013 Conference on Empirical Methods on Natural Language Processing, 153−1544.
Berant, J., Chou, A., Roy, F., and Percy L. 2014. Freebase QA: Information extraction or semantic parsing. In: The 2014 Conference on Empirical Methods on Natural Language Processing, 1511−1527.
Berezytskyi, M. M. ,and Oleksyuk, V. P. 2016. Massive Open Online Cources as a Stage in the Development of E-Learning. In: Information Technologies and Learning Tools, 56(6):51-63.
Clarke, C. L. A., Cormack, G. V. , and Lynam, T. R. 2001. Exploiting redundancy in question answering. In: Proceedings Of the 24th ACM SIGIR conference, 358-365.
Cristina, E.B., Pere, R., Comas. 2012. Full machine translation for factoid question answering. In: Proceedings of EACL, ACL , 20−29.
Google search engine.[Online]. Available at: http://www.google.com.
Grappy, A. , Grau, B. , Falco, M-H. , Ligozat, A-L. , Robba, I. , Vilnat., A. 2011.Selecting answers to questions from Web documents by a robust validation process”, IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 55-62.
Gruener, G., Warthen, D., and Leeds, D. 1996. Ask. [Online]. Available at: http://www.ask.com.
Hovy, Hermjakob, E. U., Lin, C.Y. 2001. The use of external knowledge in factoid QA. In: Proceedings of the 10th Text Retrieval Conference, 644–652.
Hsiao, H-C , Chuang, C-F, Huang, T-C and Wu, C-F. 2010. Web-based Collaborative learning in secondary education: Teachers’ reflection. In: International Journal of Cyber Society and Education, 3(1):15-36.
Ittycheriah, A. , Franz, M., Roukos, S. 2001. IBM’s statistical question answering system TREC-10, in: Proceedings of the 10th Text Retrieval Conference, 258–264.
Ivanytska, N. , and Kern, M. 2015. Features of On-Line Learning in Austria. In: Information Technologies and Learning Tools, 46(2): 22-28.
Jessie ,O. , Xiuqin, M., Hongwu, Q. and Siau, C. L. 2015. A survey of query expansion, query suggestion and query refinement techniques. In: 4th International Conference on Software Engineering and Computer Systems (ICSECS), 112-117.
Jijkoun, V. , and Rijke, M. 2005. Retrieving Answers from Frequently Asked Questions Pages on the Web. In: Proeedings. Of CIKM 2005, pp. 76-83.
Kumar, P., Kashyap, S. , Mittal, A. ,and Gupta., S. 2005. A fully automatic question-answering system for intelligent search in e-learning documents. International Journal on E-Learning. 4.1 , 149(18).
Li , X. , and Roth, D. 2002. Learning Question Classifiers", Proceedings of the 19th International Conference on Computational Linguistics (COLING2002).
Lin, J. , and Katz, B. 2003. Question Answering from the Web Using Knowledge Annotation and Knowledge Mining Techniques. In: Proceedings of CIKM 2003, 116-123.
Lo, R. T.-W., He, B., and Ounis, I. 2005. Automatically building a stop-word list for an information retrieval system. In Journal on Digital Information Management: Special Issue on the 5th Dutch-Belgian Information Retrieval Workshop (DIR).
Magenta, S. T., Sepia, X., and Turquoise, U. 1995. Wombat genetics. In: Widiculous Wombats, Violet, Q., ed. New York: Columbia University Press. 123-145.
McKimm, J., Jollie, C. , and Cantillon, P. 2003. Web based learning. In: ABC of learning and teaching 326(7394): 870–873.
Oleksandr, K., and Marie, F. M. 2011. A Survey on Question Answering Technology from an Information Retrieval Perspective. In: Information Sciences, Vol. 181, 5412–5434.
Parthasarathy, S. , and Chen, J. 2007.A Web-based Question Answering System for Effective e-Learning. In: Proceedings of the Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 142 – 146.
Pinchuk, O. P. 2016. Perspective Analysis of Use of Social Networks as Learning Tools in Learning Environment. In: Information Technologies and Learning Tools, 54(4):83-98.
Pinto, D. , Croft, W. , Branstein, M. ,Coleman, R. , King, M., Li, W. , and Wei, X. 2002.Quasm: A system for question answering using semi-structured data. In: Proceedings of the Joint Conference on Digital Libraries (JCDL), pp. 46-55.
Ramakrishnan, G. , Chakrabarti, S. , Paranjpe, D. ,and Bhattacharyya, P. 2004. Is question answering an acquired skill?”, In Proc. of WWW2004, 111 – 120.
Shen, Q. 2014. Web-based Autonomous Learning in the Chinese EFL Setting. In: Theory and Practice in Language Studies, 4(7):1409-1414.
Singh, V. , and Dwivedi, S. K. 2015. An Integrated Pattern Matching and Machine Learning Approach for Question Classification”, In: Proceedings of the 1st International Conference on Next Generation Computing Technologies (NGCT-2015), 762-767.
Sinka, M. P. and Corne, D. W. 2003. Towards modernized and web-specific stoplists for web document analysis. In: Proceedings of te IEEE/WIC International Conference on Web Intelligence(WI 2003).
Soubbotin, M.M. 2001. Patterns of potential answer expressions as clues to the right answers. In: Proceedings of the 10th Text Retrieval Conference, 293–302.
Srihari, K., Li , W. , and Li , X. 2004. Information Extraction Supported Question- Answering. In: Advances in Open Domain Question Answering. Kluwer Academic Publishers.
Su, B. , Bonk, C. J. , Magjuka, R. J., Liu, X. , and Lee, S-H. 2005. Journal of Interactive Online Learning, 4(1):1-19.
Umryk, M. A. 2015. Organization of Distance Learning for Meeting the Needs of Modern Students. In: Information Technologies and Learning Tools, 45(1):146-155.
Yen, S-J., Wub, Y-C., Yang, J-C., Lee, Y-S., Lee, C-J., Liu, J-J. 2013.A support vector machine-based context-ranking model for question answering. Information Sciences, 77–87.
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