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Automatic Diagrammatic Multiple Choice Question Generation from Knowledge Bases

Authors:
Khalil Bouzekri
Qiang Liu
Husam Yasin
Benjamin Min Xian Chu
Dickson Lukose

Keywords: Question Generation; MCQ; Diagram; Graph; Question Difficulty; Knowledge Base; Ontology; Islamic Finance

Abstract:
In this paper, we present a methodology to generate diagrammatical multiple choice questions from a knowledge base. When considering a knowledge base, the main strategies discussed in the literature are class-based, property-based and terminology-based, and the generated multiple choice questions are typical with all the choices (correct answer and distractors) being of atomic types such as plain text. In this paper, we introduce graph-based strategies, enabling the generation of choices (correct answer and distractors) in the form of complex structures such as diagrams, and discuss different approaches to take into account difficulty levels when generating the questions.

Pages: 172 to 175

Copyright: Copyright (c) IARIA, 2015

Publication date: February 22, 2015

Published in: conference

ISSN: 2308-4375

ISBN: 978-1-61208-386-5

Location: Lisbon, Portugal

Dates: from February 22, 2015 to February 27, 2015