COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization
Abstract The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of COVID-19 and SARS-CoV-2-related publications across scientific disciplines. Throughout 2020, over 400,000 coronavirus-related publications have...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-04-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-021-00437-0 |