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

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

Measurement(s) chemical entity • textual entity • Annotation Technology Type(s) expert manual annotation • digital curation • machine learning Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13486839

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Détails bibliographiques
Auteurs principaux: Rezarta Islamaj, Robert Leaman, Sun Kim, Dongseop Kwon, Chih-Hsuan Wei, Donald C. Comeau, Yifan Peng, David Cissel, Cathleen Coss, Carol Fisher, Rob Guzman, Preeti Gokal Kochar, Stella Koppel, Dorothy Trinh, Keiko Sekiya, Janice Ward, Deborah Whitman, Susan Schmidt, Zhiyong Lu
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Science
Q
Accès en ligne:https://doaj.org/article/f9507f6a53ad42a0ae91c51046597661
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Internet

https://doaj.org/article/f9507f6a53ad42a0ae91c51046597661

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