IJCAI 2024poster1 citations
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.
Natural Language Processing: NLP: ApplicationsNatural Language Processing: NLP: Language generation
BibTeX
@inproceedings{ijcai2024p996,
title = {E-QGen: Educational Lecture Abstract-based Question Generation System},
author = {Chen, Mao-Siang and Yen, An-Zi},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {8631--8634},
year = {2024},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2024/996},
url = {https://doi.org/10.24963/ijcai.2024/996},
}