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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If the SECURE 2.0 bill becomes pension law plan sponsors and governance boards will need to assess the impact of this mandatory eligibility change for their retirement programs.
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.