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QUESGEN: A Framework for Automatic Question Generation Using Semantic Web and Lexical Databases

  • Nguyen-Thinh Le
  • Alexej Shabas
  • Patrick McLaren
Chapter
Part of the Lecture Notes in Educational Technology book series (LNET)

Abstract

Semantic web and lexical databases offer multifaceted purposes. In this chapter, we present an automatic question generation framework for teachers that deploys semantic web and lexical databases for generating questions for a specific lesson topic. This framework is intended to assist teachers in preparing questions for their lessons. We investigated two research questions: (1) “which semantic/lexical database is more appropriate for which learning domain?” and (2) “can a vector space model-based ranking algorithm enhance the relevance of generated questions?”

Keywords

Semantic database Term frequency Term relevance Vector space model Question ranking 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Nguyen-Thinh Le
    • 1
  • Alexej Shabas
    • 1
  • Patrick McLaren
    • 1
  1. 1.Department of Computer ScienceHumboldt-Universität zu BerlinBerlinGermany

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