Abstract
Automated Quiz Generator (AQG) is an extension of the factual question generation system implemented by Michael Heilman, which is generic and therefore applicable to any given domain of discourse in natural language. The extensions mainly include the ability to make MCQs out of generated questions and ranking questions by interestingness of the sentence in the input text from which the respective question was generated. Besides, it has functionality to extract interesting trivia from Wikipedia articles of important entities in the input text. Being domain independent, this system relies on DBpedia - a database of structured content extracted from Wikipedia, the largest general reference work on the Internet.
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Bongir, A., Attar, V., Janardhanan, R. (2018). Automated Quiz Generator. In: Thampi, S., Mitra, S., Mukhopadhyay, J., Li, KC., James, A., Berretti, S. (eds) Intelligent Systems Technologies and Applications. ISTA 2017. Advances in Intelligent Systems and Computing, vol 683. Springer, Cham. https://doi.org/10.1007/978-3-319-68385-0_15
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