Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam. - Le An Ha; Victoria Yaneva; Peter Baldwin; Janet Mee (BEA@ACL, 2019)

Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning. - Kang Xue; Victoria Yaneva; Christopher Runyon; Peter Baldwin (BEA@ACL, 2020)

Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam. - Victoria Yaneva; Le An Ha; Peter Baldwin; Janet Mee (LREC, 2020)

Using Linguistic Features to Predict the Response Process Complexity Associated with Answering Clinical MCQs. - Victoria Yaneva; Daniel Jurich; Le An Ha; Peter Baldwin (BEA@EACL, 2021)

Findings from the First Shared Task on Automated Prediction of Difficulty and Response Time for Multiple-Choice Questions. - Victoria Yaneva; Kai North; Peter Baldwin; Le An Ha; Saed Rezayi; Yiyun Zhou; Sagnik Ray Choudhury; Polina Harik; Brian Clauser (BEA, 2024)

Can natural language processing be effectively applied for audit data analysis in gynaecological oncology at a UK cancer centre? - Mark McGowan; Filipe Correia Martins; Jodi-Louise Keen; Amelia Whitehead; Ellie Davis; Pubudu Pathiraja; Helen Bolton; Peter Baldwin (Int. J. Medical Informatics, 2024)

Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems. - Sahar Yarmohammadtoosky; Yiyun Zhou; Victoria Yaneva; Peter Baldwin; Saed Rezayi; Brian Clauser; Polina Harik (CoRR, 2025)