iCompass at NLP4IF-2021–Fighting the COVID-19 Infodemic
Wassim Henia, Oumayma Rjab, Hatem Haddad, Chayma Fourati · 2021
This paper provides a detailed overview of the system and its outcomes, which were produced as part of the NLP4IF Shared Task on Fighting the COVID-19 Infodemic at NAACL 2021.This task is accomplished using a variety of techniques.We used state-of-theart contextualized text representation models that were fine-tuned for the down-stream task in hand.ARBERT, MARBERT,AraBERT, Arabic ALBERT and BERT-base-arabic were used.According to the results, BERT-basearabic had the highest 0.748 F1 score on the test set.