BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights

In this study, we investigate the potential of large language models (LLMs) to complement biomedical knowledge graphs in the training of semantic models for the biomedical and clinical domains. Drawing on the wealth of the Unified Medical Language System knowledge graph and harnessing cutting-edge L...

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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA 2024-09, Vol.31 (9), p.1844-1855
Hauptverfasser:	Remy, François, Demuynck, Kris, Demeester, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Humans Natural Language Processing Research and Applications Semantics Unified Medical Language System
Online-Zugang:	Volltext
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