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ACTA: Short-Answer Grading in High-Stakes Medical Exams.

, , , , , и . BEA@ACL, стр. 443-447. Association for Computational Linguistics, (2023)

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Janet Dehmer

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Другие публикации лиц с тем же именем

ACTA: Short-Answer Grading in High-Stakes Medical Exams., , , , , и . BEA@ACL, стр. 443-447. Association for Computational Linguistics, (2023)Predicting the Difficulty of Multiple Choice Questions in a High-stakes Medical Exam., , , и . BEA@ACL, стр. 11-20. Association for Computational Linguistics, (2019)Automated Scoring of Clinical Patient Notes: Findings From the Kaggle Competition and Their Translation into Practice., , , , , и . BEA, стр. 87-98. Association for Computational Linguistics, (2024)The USMLE® Step 2 Clinical Skills Patient Note Corpus., , , , , и . NAACL-HLT, стр. 2880-2886. Association for Computational Linguistics, (2022)Predicting Item Survival for Multiple Choice Questions in a High-Stakes Medical Exam., , , и . LREC, стр. 6812-6818. European Language Resources Association, (2020)