Bert for Question Answering applied on Covid-19

Awane Widad; Ben Lahmar El Habib; El Falaki Ayoub

doi:10.1016/j.procs.2021.12.257

Bert for Question Answering applied on Covid-19

Procedia Comput Sci. 2022:198:379-384. doi: 10.1016/j.procs.2021.12.257. Epub 2022 Jan 26.

Authors

Awane Widad¹, Ben Lahmar El Habib¹, El Falaki Ayoub¹

Affiliation

¹ Faculty of Sciences Ben M'sik Hassan II University, B.P 7955, Sidi Othmane, Casablanca 20023, Morocco.

Abstract

In response to the COVID-19 pandemic, a lot of scholarly articles have been published recently and made freely available. At the same time, there is emerging need to provide reliable and adequate information, which can reinforce the efforts made in raising awareness, to carry out infallible actions to prevent the worsening of the pandemic situation. With that said the current work tackles the perennial problem of creating a deep learning system allowing answering with a high precision to questions on a determined subject. To do this, we will use open source scientific and academic articles concerning Covid-19, then we will proceed to the selection of suitable documents which will allow us to feed a question answering system based on BERT fine-tuned on the SQuAD benchmark.

Keywords: BERT; COVID-19; Question Answering; SQuAD.