A Fully Automatic Question-Answering System for Intelligent Search in E-Learning Documents
Article
Ankush Mittal, Sumit Gupta, Praveen Kumar, Shrikant Kashyap, Indian Institute of Technology, Roorkee, India
International Journal on E-Learning Volume 4, Number 1, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA
Abstract
E-learning is a novel method for presenting information to students for the purpose of education. Currently a sea of information is available in the form of power point slides, FAQ and e-books. However the potential of this large body remains unrealized due to lack of an effective information retrieval system. Current search engines are used only for web and return ranked list of documents. Such engines would not be effective searching tools for E-learning documents and it would be difficult for a user to find the intended answer. This paper introduces a fully automatic Question-Answering (QA) System that allows students to ask a question in common language and receive an answer quickly and succinctly, with sufficient context to validate answer. The system uses Natural language processing techniques to identify the semantic and syntactic structure of the question. It configures itself to a particular domain by automatically recognizing the entities from the course material. The Information Retrieval engine is used to extract answer passages using contextual information. A closed loop dialogue with the user leads to effective answer extraction through extensive passage analysis. Experimental results of the system are shown over the course material of Computer Networks.
Citation
Mittal, A., Gupta, S., Kumar, P. & Kashyap, S. (2005). A Fully Automatic Question-Answering System for Intelligent Search in E-Learning Documents. International Journal on E-Learning, 4(1), 149-166. Norfolk, VA: Association for the Advancement of Computing in Education (AACE). Retrieved August 18, 2022 from https://www.learntechlib.org/primary/p/5790/.
© 2005 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Cody, C. T. K., Oren, E., & Daniel, S. W. (2001). Scaling question answering to the Web. Proceedings of the Tenth International Conference on World Wide Web, 150-161.
- Cha, G. (2002). COVA: A System for content-based distance learning. Proceedings International WWW Conference (11), Honolulu, Hawaii, USA.
- Davis, J., Kay, J., Kummerfeld, B., Poon, J., Quigley, A., Saunders, G., & Yacef, K. (2003). Using workflow, user modeling and tutoring strategies for just-in-time document delivery. AIEd2003. Workshop on Technologies for Electronic Documents for Supporting Learning (Volume X).
- Dorai, C., Kermani, P., & Stewart, A. (2001). ELM-N : E-learning media navigator. International Multimedia Conference Proceedings of the Ninth ACM International Conference on Multimedia, 634 – 635.
- Fu, Y., & Shen, R. (2004). GA based CBR approach in Q&A system. Expert Systems with Applications, 26(2), pp. 167-170(4). Kumar, Kashyap, Mittal, and Gupta
- Gonzalo, J., Verdejo, F., Chugur, I., & Cigarran, J. (1998). Indexing with WordNet synsets can improve text retrieval. Proceedings of the COLING/ACL '98 Workshop on Usage of WordNet for NLP.Montreal, Canada, 38-44.
- Hirschman, L., & Gaizauskas, R. (2001). Natural language question answering: The view from here. Natural Language Engineering.
- Hori, C., Hori, T., Isozaki, H., Maeda, E., Katagiri, S., & Furui, S. (2003). Study on spoken interactive open domain question answering. SSPR2003, pp.111 – 113.
- Kretser, O.D., & Moffat, A. (1999). Effective document presentation with a locality-based similarity heuristic. Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, San Francisco, pp 113-120.
- Kutay, C., & Ho, P. (2003). Using intelligent agents for the analysis of students interaction and learning. AIEd2003. Workshop on Technologies for Electronic Documents for Supporting Learning, (Volume X).
- Lin, J., Quan, D., Sinha, V., Bakshi, K., Huynh, D., Katz, B., & Karger, D.R. (2003). The role of context in question answering systems. Proceedings of the 2003 Conference on Human Factors in Computing Systems.
- Mendes, M. E. S., Martinez, E., & Sacks, L. (2002). Knowledge-based content navigation in e-learning applications. The London Communication Symposium.
- Small, S., Liu, T., Shimizu, N., & Strzalkowski, T. (2003). HITIQA: An interactive question answering system, a preliminary report. Proceedings of ACL '03, Workshop on QA. Sapporo, Japan. Temperley, D., Sleator, D., & Lafferty, J. (1993) Parsing English with a link grammar. Third Annual Workshop on Parsing Technologies.
- Woods, W. (1973). Progress in natural language understanding – An application to lunar geology. AFIPS Conference Proceedings, 42, 441-450.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to ReferencesCited By
View References & Citations Map-
Instructor-aided asynchronous question answering system for online education and distance learning
Dunwei Wen, John Cuzzola, Lorna Brown & Kinshuk, Athabasca University
The International Review of Research in Open and Distributed Learning Vol. 13, No. 5 (Nov 08, 2012) pp. 102–125
These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.
