{"type":"ScholarlyArticle","title":"E-QGen: Educational Lecture Abstract-based Question Generation System","authors":[{"name":"Mao-Siang Chen","slug":"mao-siang-chen","given":"Mao-Siang","family":"Chen","affiliation":"Department of Computer Science , National Yang Ming Chiao Tung University , Taiwan"},{"name":"An-Zi Yen","slug":"an-zi-yen","given":"An-Zi","family":"Yen","affiliation":"Department of Computer Science , National Yang Ming Chiao Tung University , Taiwan"}],"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.","doi":"10.24963/ijcai.2024/996","url":"https://ijcai.org/proceedings/2024/996","pdf":"https://ijcai.org/proceedings/2024/0996.pdf","markdown":"https://ijcai.org/proceedings/2024/996.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/996","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Demo Track","track":"Demo Track","number":996,"pages":{"first":8631,"last":8634},"keywords":["Natural Language Processing: NLP: Applications","Natural Language Processing: NLP: Language generation"],"videos":[],"references":[{"position":1,"raw":"[Achiam et al., 2023] Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Alt- man, Shyamal Anadkat, et al. 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