Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence
Articolo
Data di Pubblicazione:
2022
Citazione:
Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence / Brambilla, G., Rosi, A., Antici, F., Galassi, A., Giansanti, D., Magurano, F., Ruggeri, F., Torroni, P., Cisbani, E., Lippi, M.. - In: FRONTIERS IN PUBLIC HEALTH. - ISSN 2296-2565. - 10:(2022), pp. 945181-N/A. [10.3389/fpubh.2022.945181]
Abstract:
The COVID-19 pandemic prompted the scientific community to share timely evidence, also in the form of pre-printed papers, not peer reviewed yet.
Tipologia CRIS:
Articolo su rivista
Keywords:
COVID-19; argument mining; artificial intelligence; inter-rater agreement; scientific literature quality assessment; Humans; Pandemics; Reproducibility of Results; Research; Artificial Intelligence; COVID-19
Elenco autori:
Brambilla, G.; Rosi, A.; Antici, F.; Galassi, A.; Giansanti, D.; Magurano, F.; Ruggeri, F.; Torroni, P.; Cisbani, E.; Lippi, M.
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