@inproceedings{77083355999647f79da78829607d33ce,
title = "E-QGen: Educational Lecture Abstract-based Question Generation System",
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.",
author = "Chen, {Mao Siang} and Yen, {An Zi}",
note = "Publisher Copyright: {\textcopyright} 2024 International Joint Conferences on Artificial Intelligence. All rights reserved.; 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 ; Conference date: 03-08-2024 Through 09-08-2024",
year = "2024",
language = "English",
series = "IJCAI International Joint Conference on Artificial Intelligence",
publisher = "International Joint Conferences on Artificial Intelligence",
pages = "8631--8634",
editor = "Kate Larson",
booktitle = "Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024",
}