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...

Descripción completa

Detalles Bibliográficos
Autores principales: Barros, Márcia, Ruas, Pedro, Sousa, Diana, Bangash, Ali Haider, Couto, Francisco M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2021
Materias:
Blah7
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

Internet

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

Ejemplares similares