The biomedical relationship corpus of the BioRED track at the BioCreative VIII challenge and workshop

Database (Oxford) 2025-01-23

Summary:

The automatic recognition of biomedical relationships is an important step in the semantic understanding of the information contained in the unstructured text of the published literature. The BioRED track at BioCreative VIII aimed to foster the development of such methods by providing the participants the BioRED-BC8 corpus, a collection of 1000 PubMed documents manually curated for diseases, gene/proteins, chemicals, cell lines, gene variants, and species, as well as pairwise relationships...

Link:

https://pubmed.ncbi.nlm.nih.gov/39126204/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20250123031034&v=2.18.0.post9+e462414

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📚BioDBS Bibliography » Database (Oxford)

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Authors:

Rezarta Islamaj, Chih-Hsuan Wei, Po-Ting Lai, Ling Luo, Cathleen Coss, Preeti Gokal Kochar, Nicholas Miliaras, Oleg Rodionov, Keiko Sekiya, Dorothy Trinh, Deborah Whitman, Zhiyong Lu

Date tagged:

01/23/2025, 03:14

Date published:

08/10/2024, 06:00