Ensemble pretrained language models to extract biomedical knowledge from literature

Published: 01 Jan 2024, Last Modified: 05 Feb 2025J. Am. Medical Informatics Assoc. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: The rapid expansion of biomedical literature necessitates automated techniques to discern relationships between biomedical concepts from extensive free text. Such techniques facilitate the development of detailed knowledge bases and highlight research deficiencies. The LitCoin Natural Language Processing (NLP) challenge, organized by the National Center for Advancing Translational Science, aims to evaluate such potential and provides a manually annotated corpus for methodology development and benchmarking.
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