Computer-aided generation of multiple-choice tests

  • Authors:
  • Ruslan Mitkov;Le An Ha

  • Affiliations:
  • University of Wolverhampton;University of Wolverhampton

  • Venue:
  • HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
  • Year:
  • 2003

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Abstract

This paper describes a novel computer-aided procedure for generating multiple-choice tests from electronic instructional documents. In addition to employing various NLP techniques including term extraction and shallow parsing, the program makes use of language resources such as a corpus and WordNet. The system generates test questions and distractors, offering the user the option to post-edit the test items.