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COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization
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 been col...
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| Publicado no: | NPJ Digit Med |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8041998/ https://ncbi.nlm.nih.gov/pubmed/33846532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00437-0 |
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