Abstract
Recent question answering (QA) research has started to incorporate deep natural language processing (NLP) such as syntactic and semantic parsing in order to enhance the capability of selecting the most relevant answers to a given question. However, current NLP technology involves intensive computing and thus hard to meet the real-time demand of synchronous QA. To improve e-learning we introduce NLP into a QA system that specifically exploits the communication latency between student and instructor. We present how the system will fit for educational environment, and how semantic similarity matching between a question and its candidate answers can be improved by semantic roles. The designed system and its running results show the perspective and potential of this research.
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References
Cong, G., Wang, L., Lin, C.-Y., Song, Y.-I., Sun, Y.: Finding question-answer pairs from online forums. In: Proc of SIGIR 2008, pp. 467–474 (2008)
Dredze, M.H.: Intelligent email: aiding users with AI. Ph.D. dissertation, Univ. of Pennsylvania, Philadelphia, PA, USA (2009)
Fend, D., Shaw, E., Kim, J., Hovy, E.: An intelligent discussion-bot for answering student queries in threaded discussions. In: Proc. of IUI 2006, pp. 171–177 (2006)
Marorm, Y., Zukerman, I.: An empirical study of corpus-based response automation methods for an email-based help-desk domain. Computational Linguistics 35(4), 597–635 (2009)
Mittal, A., Gupta, S., Kumar, P., Kashyap, S.: A fully automatic question-answering system for intelligent search in e-learning documents. Int. J. E-Learning 4(1), 149–166 (2005)
Schlaefer, N., Gieselmann, P., Sautter, G.: The Ephyra QA System at TREC 2006. TREC (2006)
Shen, D., Lapata, M.: Using semantic roles to improve question answering. In: Proc. of EMNLP-CoNLL 2007, pp. 12–21 (2007)
Surdeanu, M., Ciaramita, M., Zaragoza, H.: Learning to rank answers to non-factoid questions from Web collections. Computational Linguistics 37(2), 351–383 (2011)
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Wen, D., Cuzzola, J., Brown, L., Kinshuk (2012). Exploiting Semantic Roles for Asynchronous Question Answering in an Educational Setting. In: Kosseim, L., Inkpen, D. (eds) Advances in Artificial Intelligence. Canadian AI 2012. Lecture Notes in Computer Science(), vol 7310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30353-1_39
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DOI: https://doi.org/10.1007/978-3-642-30353-1_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30352-4
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