Date: | 17 April 2024 (Wednesday) |
Time: | 12:00 – 1:00 pm |
Venue: | STEM Innovation Hub (C-LP-06) |
Speaker: |
Professor Cai Yi |
Moderator: |
Professor Xu Guandong |
Target: | For All Staff and Students |
Language: | English |
Participation in this seminar can be counted towards the Certificate Course “Introduction to Teaching in Higher Education” under the theme “Learning and Teaching Seminars/Workshops”.
Abstract
With the development of AI technology, the integration of AI and education has become increasingly close. The automatic question generation technology can effectively improve teachers’ efficiency in creating questions, and has attracted the attention of both academic and industry. This talk introduces several key technologies in automatic question generation and question paraphrase based on artificial intelligence, including automatic question generation based on knowledge graph, diversity and difficulty control in question generation, multi-modal question generation, and knowledge-based question paraphrase.
Speaker
Professor Cai Yi
Dean, School of Software Engineering
Director, The China Ministry of Education Key Laboratory of Big Data and Robotic Intelligence
South China University of Technology
Prof. Yi Cai is the Dean of School Software Engineering in South China University of Technology, the Director of Key Laboratory of Big Data and Intelligent Robotics (SCUT), Ministry of Education of China. He had received his PhD degree in the Chinese University of Hong Kong, and worked as postdoctoral fellow in City University of Hong Kong. He had published over 200 papers in top international journals and conferences such as IEEE TKDE, IEEE TIP, IEEE TVCG, IEEE TMM, IEEE/ACM TASLP, IEEE Transactions on Affective Computing, AAAI, ACL, ACM MM, SIGIR, EMNLP, and COLING. He has Served as the organizing chair of NLPCC 2023, the conference chair of APWeb-WAIM 2021, and the program chair of ICEBE 2021, IEEE DSC 2020, and APWeb-WAIM 2018. He is also the Associate Editor of IEEE/ACM Transactions on Audio, Speech, and Language Processing, CMC-Computers, Materials Continua.