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NLGML: A Markup Language for Question Generation
PROCEEDINGS

, , University of Memphis, United States ; , Rhodes College, United States ; , , , University of Memphis, United States

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

We present in this paper a new approach to question generation. Our approach to question generation is based on lexical, syntactic and semantic patterns described in a mark-up language. The expressivity of the language allows its application to both domain-specific and open-domain question generation. We present a question generator software system that attempts to help students ask questions better in virtually any learning environment. Results obtained from a human evaluation of the output of the system are promising, at least in the domain of conceptual physics.

Citation

Cai, Z., Rus, V., Kim, H.J.J., Susarla, S.C., Karnam, P. & Graesser, A.C. (2006). NLGML: A Markup Language for Question Generation. In T. Reeves & S. Yamashita (Eds.), Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2747-2752). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE). Retrieved October 14, 2019 from .

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