USMBA-NLP at SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials using Bert
Anass Fahfouh, Abdessamad Benlahbib, Jamal Riffi, Hamid Tairi · 2024
This paper presents the application of BERT in SemEval 2024 Task 2, Safe Biomedical Natural Language Inference for Clinical Trials.The main objectives of this task were: First, to investigate the consistency of BERT in its representation of semantic phenomena necessary for complex inference in clinical NLI settings.Second, to investigate the ability of BERT to perform faithful reasoning, i.e., make correct predictions for the correct reasons.The submitted model is fine-tuned on the NLI4CT dataset, which is enhanced with a novel contrast set, using binary cross entropy loss.