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Automatic extraction of COVID-19 epidemiological parameters using Natural Language Processing
14 May 2020
Modelers are trying to anticipate the future of the COVID-19 epidemic based on relevant parameters driving its evolution. This paper explores the potential and the challenge of using BERT, a Natural Language Processing framework, to automate the task of gathering input information and assisting experts for COVID-19 studies.
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Automatic extraction of COVID-19 epidemiological parameters using Natural Language Processing
This paper explores the potential and the challenge of using BERT, a Natural Language Processing framework, to automate the task of gathering input information and assisting experts for COVID-19 studies.
Rémi Bellina, Cedric Mea, Floriane Moy, Alexandre Boumezoued, Amal Elfassihi, Eve Titon