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COVID-19 recommender system based on an annotated multilingual corpus
Tracking the most recent advances in Coronavirus disease 2019 (COVID-19)‒related research is essential, given the disease's novelty and its impact on society. However, with the publication pace speeding up, researchers and clinicians require automatic approaches to keep up with the incoming inf...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korea Genome Organization
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510867/ https://www.ncbi.nlm.nih.gov/pubmed/34638171 http://dx.doi.org/10.5808/gi.21008 |