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    Automatic Classification of Evidence Based Medicine Using Transformers
    (Australasian Language Technology Association, 2022) Bolücü, Necva; Hepsa?, Pınar Uskaner
    The 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.