Abstract
An approach of automatic question generation from given learning material of medical text is presented in this paper. The main idea is to generate the questions automatically based on question templates which are created by training on many medical articles. In order to provide interesting questions, our research focuses on medical related concepts. This method can be used for evaluation of learner’s comprehension after he/she finished a reading material. Different from traditional learning system the articles and questions are all prepared beforehand; participants can learn whatever new input medical articles with the help of automatic question generation.
Chapter PDF
Similar content being viewed by others
References
Shavelson, R.J., Berliner, D., Ravitch, M., Loeding, D.: Effects of Position and Type of Question on Learning from Prose Material: Interaction of Treatments with Individual Differences. Journal of Educational Psychology 65(1), 40–48 (1974)
Tinoco, L.C., Fox, E.A., Barnette, N.D.: Online evaluation in WWW-based courseware. In: Proceedings of the twenty-eighth SIGCSE technical symposium on Computer science education, pp. 194–198. ACM Press, New York (1997)
Bade, D., Nüssel, G., Wilts, G.: Online Feedback by Tests and Reporting for eLearning and Certification Programs with TCmanager. In: Proceedings of the 13 thInternational World Wide Web Conference on Alternate track papers, pp. 432–433 (2004)
Lauer, T.W.: Questions and information: Contrasting metaphors. Information Systems Frontiers 3(1), 41–48 (2001)
Merzbacher, M.: Automatic Generation of Trivia Questions. In: Hacid, M.-S., Raś, Z.W., Zighed, A.D.A., Kodratoff, Y. (eds.) ISMIS 2002. LNCS (LNAI), vol. 2366, pp. 123–130. Springer, Heidelberg (2002)
Sneiders, E.: Automated Question Answering: Template-Based Approach. PhD thesis, Royal Institute of Technology and Stockholm University (2002)
Finkel, J.R., Grenager, T., Manning, C.: Incorporating non-local information into information extraction systems by gibbs sampling. In: Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL 2005), Ann Arbor, Michigan, Association for Computational Linguistics, June 2005, pp. 363–370 (2005)
Meystre, S., Haug, P.J.: Evaluation of Medical Problem Extraction from Electronic Clinical Documents Using MetaMap Transfer (MMTx). Stud Health Technol Inform 116, 823–828 (2005)
Lindberg, D.A., Humphreys, B.L., McCray, A.T.: The Unified Medical Language System. Methods Inf. Med. 32(4), 281–291 (1993)
Campbell, K.E., Oliver, D.E., Shortliffe, E.H.: The Unified Medical Language System: Toward a Collaborative Approach for Solving Terminologic Problems. Journal of the American Medical Informatics Association 5(1), 12–16 (1998)
Aronson, A.R.: Effective mapping of biomedical text to the umls metathesaurus: the metamap program. In: Proceedings of the AIMA, pp. 17–21 (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, W., Hao, T., Liu, W. (2008). Automatic Question Generation for Learning Evaluation in Medicine. In: Leung, H., Li, F., Lau, R., Li, Q. (eds) Advances in Web Based Learning – ICWL 2007. ICWL 2007. Lecture Notes in Computer Science, vol 4823. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78139-4_22
Download citation
DOI: https://doi.org/10.1007/978-3-540-78139-4_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78138-7
Online ISBN: 978-3-540-78139-4
eBook Packages: Computer ScienceComputer Science (R0)