Paper Info
Title
A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2
Abstract
The number of unique terms in the scientific literature used to refer to either SARS-CoV-2 or COVID-19 is remarkably large and has continued to increase rapidly despite well-established standardized terms. This high degree of term variation makes high recall identification of these important entities difficult. In this manuscript we present an extensive dictionary of terms used in the literature to refer to SARS-CoV-2 and COVID-19. We use a rule-based approach to iteratively generate new term variants, then locate these variants in a large text corpus. We compare our dictionary to an extensive collection of terminological resources, demonstrating that our resource provides a substantial number of additional terms. We use our dictionary to analyze the usage of SARS-CoV-2 and COVID-19 terms over time and show that the number of unique terms continues to grow rapidly. Our dictionary is freely available at https://github.com/ncbi-nlp/CovidTermVar.
Year
DOI
Venue
2020
10.18653/v1/2020.nlpcovid19-2.32
NLP4COVID@EMNLP
DocType
Volume
Citations 
Conference
2020.nlpcovid19-2
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Robert Leaman191439.98
Zhiyong Lu22735171.27