April 20, 2022, 1:11 a.m. | Johannes Graf, Gino Lancho, Patrick Zschech, Kai Heinrich

cs.CL updates on arXiv.org arxiv.org

The COVID-19 pandemic is accompanied by a massive "infodemic" that makes it
hard to identify concise and credible information for COVID-19-related
questions, like incubation time, infection rates, or the effectiveness of
vaccines. As a novel solution, our paper is concerned with designing a
question-answering system based on modern technologies from natural language
processing to overcome information overload and misinformation in pandemic
situations. To carry out our research, we followed a design science research
approach and applied Ingwersen's cognitive model of …

arxiv covid covid-19 pandemic

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