Experiments on Generating Questions About Facts

Authors:
Vasile Rus;Zhiqiang Cai;Arthur C. Graesser
Affiliations:
Department of Computer Science,;Department of Psychology, Institute for Intelligent Systems, The University of Memphis, 373 Dunn Hall, Memphis, TN 38152, USA;Department of Psychology, Institute for Intelligent Systems, The University of Memphis, 373 Dunn Hall, Memphis, TN 38152, USA
Venue:
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2009

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Abstract

This paper presents an approach to the problem of factual Question Generation. Factual questions are questions whose answers are specific facts: who?, what?, where?, when?. We enhanced a simple attribute-value (XML) language and its interpretation engine with context-sensitive primitives and added a linguistic layer deep enough for the overall system to score well on user satisfiability and the 'linguistically well-founded' criteria used to measure up language generation systems. Experiments with open-domain question generation on TREC-like data validate our claims and approach.