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)

An interpretable natural language processing system for written medical examination assessment. - Abeed Sarker; Ari Z. Klein; Janet Mee; Polina Harik; Graciela Gonzalez-Hernandez (J. Biomed. Informatics, 2019)

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

The USMLE® Step 2 Clinical Skills Patient Note Corpus. - Victoria Yaneva; Janet Mee; Le An Ha; Polina Harik; Michael Jodoin; Alex Mechaber (NAACL-HLT, 2022)

ACTA: Short-Answer Grading in High-Stakes Medical Exams. - King Yiu Suen; Victoria Yaneva; Le An Ha; Janet Mee; Yiyun Zhou; Polina Harik (BEA@ACL, 2023)

Automated Scoring of Clinical Patient Notes: Findings From the Kaggle Competition and Their Translation into Practice. - Victoria Yaneva; King Yiu Suen; Le An Ha; Janet Mee; Milton Quranda; Polina Harik (BEA, 2024)