NLM-Chem-BC7: manually annotated full-text resources for chemical entity annotation and indexing in biomedical articles

Database (Oxford) 2023-02-15

Summary:

The automatic recognition of chemical names and their corresponding database identifiers in biomedical text is an important first step for many downstream text-mining applications. The task is even more challenging when considering the identification of these entities in the article's full text and, furthermore, the identification of candidate substances for that article's metadata [Medical Subject Heading (MeSH) article indexing]. The National Library of Medicine (NLM)-Chem track at BioCreative...

Link:

https://pubmed.ncbi.nlm.nih.gov/36458799/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20230215001918&v=2.17.9.post6+86293ac

From feeds:

📚BioDBS Bibliography » Database (Oxford)

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Authors:

Rezarta Islamaj, Robert Leaman, David Cissel, Cathleen Coss, Joseph Denicola, Carol Fisher, Rob Guzman, Preeti Gokal Kochar, Nicholas Miliaras, Zoe Punske, Keiko Sekiya, Dorothy Trinh, Deborah Whitman, Susan Schmidt, Zhiyong Lu

Date tagged:

02/15/2023, 00:19

Date published:

12/02/2022, 06:00