Document Classification for COVID-19 Literature

15 Jun 2020Bernal Jiménez GutiérrezJuncheng ZengDongdong ZhangPing ZhangYu Su

The global pandemic has made it more important than ever to quickly and accurately retrieve relevant scientific literature for effective consumption by researchers in a wide range of fields. We provide an analysis of several multi-label document classification models on the LitCovid dataset, a growing collection of 23,000 research papers regarding the novel 2019 coronavirus... (read more)

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