Degree
Master of Science in Computer Science
Department
Department of Computer Science
Faculty / School
School of Mathematics and Computer Science (SMCS)
Date of Submission
2020-06-30
Supervisor
Dr. Quratulain Rajput, Assistant Professor, Faculty of Computer Science
Document type
MSCS Survey Report
Abstract
Automatic Question Generation has become a popular topic among researchers in an educational context. Some academic institutes are using automatic question generation for assessing their students’ understanding of subjects. In this paper, we discuss about DBpedia, which contains the data from Wikipedia in a structured format. We will also be creating a prototype that generates questions based on entities extracted from DBpedia. We are using the Jena API and SPARQL to access DBpedia. The questions are created from templates based on different attributes of the entities. We conclude that using DBpedia as a means to gather attributes for question generation proves to be an efficient method to generate questions.
Recommended Citation
Sattar, A. (2020). Automatic question generation based on Wikipedia articles (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/2
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