A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs

Background: Biomedical knowledge graphs (KG) have become crucial for describing biological findings in a structured manner. To keep up with the constantly changing flow of knowledge, their embedded information must be regularly updated with the latest findings. Natural language processing (NLP) has...

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Бібліографічні деталі
Автори:	Negin Sadat Babaiha, Hassan Elsayed, Bide Zhang, Abish Kaladharan, Priya Sethumadhavan, Bruce Schultz, Jürgen Klein, Bruno Freudensprung, Vanessa Lage-Rupprecht, Alpha Tom Kodamullil, Marc Jacobs, Stefan Geissler, Sumit Madan, Martin Hofmann-Apitius
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2023-12-01
Серія:	Artificial Intelligence in the Life Sciences
Предмети:	Knowledge graphs Relation extraction Natural language processing Biomedical text mining Biological expression language (BEL) Human brain pharmacome (HBP)
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2667318523000223
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A natural language processing system for the efficient updating of highly curated pathophysiology mechanism knowledge graphs

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