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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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/f9507f6a53ad42a0ae91c51046597661
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:f9507f6a53ad42a0ae91c510465976612021-12-02T14:02:56ZNLM-Chem, a new resource for chemical entity recognition in PubMed full text literature10.1038/s41597-021-00875-12052-4463https://doaj.org/article/f9507f6a53ad42a0ae91c510465976612021-03-01T00:00:00Zhttps://doi.org/10.1038/s41597-021-00875-1https://doaj.org/toc/2052-4463Measurement(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.13486839Rezarta IslamajRobert LeamanSun KimDongseop KwonChih-Hsuan WeiDonald C. ComeauYifan PengDavid CisselCathleen CossCarol FisherRob GuzmanPreeti Gokal KocharStella KoppelDorothy TrinhKeiko SekiyaJanice WardDeborah WhitmanSusan SchmidtZhiyong LuNature PortfolioarticleScienceQENScientific Data, Vol 8, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
description	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
format	article
author	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
author_facet	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
author_sort	Rezarta Islamaj
title	NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
title_short	NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
title_full	NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
title_fullStr	NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
title_full_unstemmed	NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature
title_sort	nlm-chem, a new resource for chemical entity recognition in pubmed full text literature
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f9507f6a53ad42a0ae91c51046597661
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NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature

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