CORD-19: The COVID-19 open research dataset

Wang, L. L.; Lo, K.; Chandrasekhar, Y.; Reas, R.; Yang, J.; Burdick, D.; Eide, D.; Funk, K.; Katsis, Y.; Kinney, R.; Li, Y.; Liu, Z.; Merrill, W.; Mooney, P.; Murdick, D.; Rishi, D.; Sheehan, J.; Shen, Z.; Stilson, B.; Wade, A. D.; Wang, K.; Wang, N. X. R.; Wilhelm, C.; Xie, B.; Raymond, D.; Weld, D. S.; Etzioni, O.; Kohlmeier, S.

Wang, L. L.; Lo, K.; Chandrasekhar, Y.; Reas, R.; Yang, J.; Burdick, D.; Eide, D.; Funk, K.; Katsis, Y.; Kinney, R.; Li, Y.; Liu, Z.; Merrill, W.; Mooney, P.; Murdick, D.; Rishi, D.; Sheehan, J.; Shen, Z.; Stilson, B.; Wade, A. D.; Wang, K.; Wang, N. X. R.; Wilhelm, C.; Xie, B.; Raymond, D.; Weld, D. S.; Etzioni, O.; Kohlmeier, S..

1st Workshop on NLP for COVID-19 at the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 ; 2020.

Article in English | Scopus | ID: covidwho-2286073

ABSTRACT

ABSTRACT

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval systems over its rich collection of metadata and structured full text papers. Since its release, CORD-19 has been downloaded over 200K times and has served as the basis of many COVID-19 text mining and discovery systems. In this article, we describe the mechanics of dataset construction, highlighting challenges and key design decisions, provide an overview of how CORD-19 has been used, and describe several shared tasks built around the dataset. We hope this resource will continue to bring together the computing community, biomedical experts, and policy makers in the search for effective treatments and management policies for COVID-19. © ACL 2020.All right reserved.

Keywords

Computational linguistics, Deep learning, Information retrieval, Information retrieval systems, Natural language processing systems, Search engines, Computing community, Coronaviruses, Design decisions, Discovery systems, Full-text papers, Information-retrieval systems, Mining systems, Scientific papers, Text information, Text-mining, COVID-19

Search on Google

XML

Collection: Databases of international organizations Database: Scopus Language: English Journal: 1st Workshop on NLP for COVID-19 at the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020 Year: 2020 Document Type: Article

Similar

MEDLINE

LILACS

LIS

Search on Google

XML