Automatic Generation of Multiple Choice Questions Using Wikipedia

  • Arjun Singh Bhatia
  • Manas Kirti
  • Sujan Kumar Saha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

In this paper we present a system for automatic generation of multiple choice test items using Wikipedia. Here we propose a methodology for potential sentence selection with the help of existing test items in the web. The sentences are selected using a set of pattern extracted from the existing questions. We also propose a novel technique for generating named entity distractors. For generating quality named entity distractors we extract certain additional attribute values on the key from the web and search the Wikipedia for the entities having similar attribute values. We run our experiments in sports domain. The generated questions and distractors are evaluated by a set of human evaluators using a set of parameters. The evaluation results demonstrate that the system is reasonably accurate.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Arjun Singh Bhatia
    • 1
  • Manas Kirti
    • 1
  • Sujan Kumar Saha
    • 1
  1. 1.Department of Computer Science and EngineeringBirla Institute of TechnologyMesraIndia

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