Global Responses to the COVID-19 Pandemic: A Case Study of Spatiotemporal Evidence Finding and Verification

Abstract

This paper explores methods for adapting fact verification models to real-world scenarios that require spatial and temporal inference. As a case study, we search for evidence on governments’ responses to the COVID-19 pandemic. We demonstrate that existing fact verification models perform poorly when the verification requires reasoning about spatiotemporal information. The suggested techniques lead to great improvements and we recommend implementing them for such uses.

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Reproductions