SLEDGE: A Simple Yet Effective Baseline for COVID-19 Scientific Knowledge Search

Understand

With worldwide concerns surrounding the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there is a rapidly growing body of literature on the virus.

• Clinicians, researchers, and policy-makers need a way to effectively search these articles.
• In this work, we present a search system called SLEDGE, which utilizes SciBERT to effectively re-rank articles.
• We train the model on a general-domain answer ranking dataset, and transfer the relevance signals to SARS-CoV-2 for evaluation.