4 papers · 1 filter
Re-defining Humor Data Objects for AI Humor Research
Anna Arnett, Bang Nguyen, Meng Jiang
In most existing AI humor research, humor was treated as either "present" or "not present." We explore the concept of humor as a social interaction with context and explanations. D…
Context Selection and Rewriting for Video-based Educational Question Generation
Mengxia Yu, Bang Nguyen, Olivia Zino +1
Educational question generation (EQG) is a crucial component of intelligent educational systems, significantly aiding self-assessment, active learning, and personalized education.…
QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
Bang Nguyen, Tingting Du, Mengxia Yu +2
While the Question Generation (QG) task has been increasingly adopted in educational assessments, its evaluation remains limited by approaches that lack a clear connection to the e…
Reference-based Metrics Disprove Themselves in Question Generation
Bang Nguyen, Mengxia Yu, Yun Huang +1
Reference-based metrics such as BLEU and BERTScore are widely used to evaluate question generation (QG). In this study, on QG benchmarks such as SQuAD and HotpotQA, we find that us…