Bolücü, NecvaHepsa?, Pınar Uskaner2025-01-062025-01-0620221834-70372-s2.0-85190660030https://hdl.handle.net/20.500.14669/132720th Annual Workshop of the Australasian Language Technology Association, ALTA 2022 -- 14 December 2022 through 16 December 2022 -- Adelaide -- 310649The goal of the shared task is multi-label classification for biomedical records in English used for Evidence-Based Medicine. In this paper, we describe the model based on the Transformer submitted by our team turkNLP for the shared task. Our model achieved a Micro ROC score of ? 0.93 on the shared task and ranked 5th in the leaderboard. © 2020, Australasian Language Technology Association. All rights reserved.eninfo:eu-repo/semantics/closedAccessAutomatic Classification of Evidence Based Medicine Using TransformersConference ObjectN/A20