NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

« (…) The NLM-Chem corpus consists of 150 full-text articles, doubly annotated by ten expert NLM indexers, with ~5000 unique chemical name annotations, mapped to ~2000 MeSH identifiers. We also describe a substantially improved chemical entity tagger, with automated annotations for all of PubMed and PMC freely accessible through the PubTator web-based interface and API. The NLM-Chem corpus is freely available. (….) »

source > nature.com, Islamaj, R., Leaman, R., Kim, S. et al. NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature. Sci Data 8, 91 (2021). https://doi.org/10.1038/s41597-021-00875-1

• Mots-clés : 
• Annotation,
• Chemical entity,
• Machine learning,
• National Library of Medicine (NLM),
• PubMed