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Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations
Author(s) -
Qingyu Chen,
Alexis Allot,
Robert Leaman,
Rezarta Islamaj,
Jingcheng Du,
Fang Li,
Kai Wang,
Shuo Xu,
Yuefu Zhang,
Parsa Bagherzadeh,
Sabine Bergler,
Aakash Bhatnagar,
Nidhir Bhavsar,
YungChun Chang,
Sheng-Jie Lin,
Wentai Tang,
Hongtong Zhang,
Ilija Tavchioski,
Senja Pollak,
Shubo Tian,
Jinfeng Zhang,
Yulia Otmakhova,
Antonio Jimeno Yepes,
Hang Dong,
Honghan Wu,
Richard Dufour,
Yanis Labrak,
Niladri Chatterjee,
Kushagri Tandon,
Fréjus A. A. Laleye,
Loïc Rakotoson,
Emmanuele Chersoni,
Jinghang Gu,
Annemarie Friedrich,
Subhash Chandra Pujari,
Mariia Chizhikova,
Naveen Sivadasan,
Saipradeep VG,
Zhiyong Lu
Publication year - 2022
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/baac069
Subject(s) - computer science , covid-19 , annotation , named entity recognition , scientific literature , information retrieval , data science , artificial intelligence , natural language processing , world wide web , task (project management) , medicine , infectious disease (medical specialty) , paleontology , disease , management , pathology , economics , biology

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