E-QGen: Educational Lecture Abstract-based Question Generation System

Mao-Siang Chen, An-Zi Yen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence

Demo Track. Pages 8631-8634.

https://doi.org/10.24963/ijcai.2024/996

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Abstract

To optimize the preparation process for educators in academic lectures and associated question-and-answer sessions, this paper presents E-QGen, a lecture abstract-based question generation system. Given a lecture abstract, E-QGen generates potential student inquiries. The questions suggested by our system are expected to not only facilitate teachers in preparing answers in advance but also enable them to supply additional resources when necessary.

Keywords

  • Natural Language Processing: NLP: Applications
  • Natural Language Processing: NLP: Language generation
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