no code implementations • 1 May 2024 • Bhuvanesh Verma, Lisa Raithel
The NLI4CT task at SemEval-2024 emphasizes the development of robust models for Natural Language Inference on Clinical Trial Reports (CTRs) using large language models (LLMs).
1 code implementation • 24 Oct 2022 • Arne Binder, Bhuvanesh Verma, Leonhard Hennig
In this work, we introduce a sequential pipeline model combining ADUR and ARE for full-text SAM, and provide a first analysis of the performance of pretrained language models (PLMs) on both subtasks.