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
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-021-00875-1 |
| _version_ | 1818841742531624960 |
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| 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 |
| collection | DOAJ |
| 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 |
| first_indexed | 2024-12-19T04:30:55Z |
| format | Article |
| id | doaj.art-f9507f6a53ad42a0ae91c51046597661 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-12-19T04:30:55Z |
| publishDate | 2021-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-f9507f6a53ad42a0ae91c510465976612022-12-21T20:35:53ZengNature PortfolioScientific Data2052-44632021-03-018111210.1038/s41597-021-00875-1NLM-Chem, a new resource for chemical entity recognition in PubMed full text literatureRezarta Islamaj0Robert Leaman1Sun Kim2Dongseop Kwon3Chih-Hsuan Wei4Donald C. Comeau5Yifan Peng6David Cissel7Cathleen Coss8Carol Fisher9Rob Guzman10Preeti Gokal Kochar11Stella Koppel12Dorothy Trinh13Keiko Sekiya14Janice Ward15Deborah Whitman16Susan Schmidt17Zhiyong Lu18National Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthNational Library of Medicine, National Institutes of HealthMeasurement(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.13486839https://doi.org/10.1038/s41597-021-00875-1 |
| spellingShingle | 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 Scientific Data |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41597-021-00875-1 |
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