NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature is a research paper published in Scientific Data (2021). On theSindex it has a DataRank of 0. It has been cited 70 times.
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U.S. Department of Health & Human Services | NIH | U.S. National Library of Medicine
Grant: Intramural Research Program
NLM NIH HHS
Grant: R00 LM013001
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NLMChem a new resource for chemical entity recognition in PubMed full-text literature
Additional file 2 of Application of machine reading comprehension techniques for named entity recognition in materials science
Additional file 2 of Application of machine reading comprehension techniques for named entity recognition in materials science
Additional file 1 of Chemical entity normalization for successful translational development of Alzheimer’s disease and dementia therapeutics
Additional file 1 of Chemical entity normalization for successful translational development of Alzheimer’s disease and dementia therapeutics
Additional file 1 of Classifying literature mentions of biological pathogens as experimentally studied using natural language processing
Additional file 1 of Classifying literature mentions of biological pathogens as experimentally studied using natural language processing
Additional file 1 of Application of machine reading comprehension techniques for named entity recognition in materials science
Additional file 1 of Application of machine reading comprehension techniques for named entity recognition in materials science
Archive of PubTator 3.0 source code and trained models
Archive of PubTator 3.0 source code and trained models
Metadata record for: NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
Metadata record for: NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature