Year: 2021
Type: conference-paper
Abstract: This paper describes the winning model in the Arabic NLP4IF shared task for fighting the COVID-19 infodemic.The goal of the shared task is to check disinformation about COVID-19 in Arabic tweets.Our proposed model has been ranked 1 st with an F1-Score of 0.780 and an Accuracy score of 0.762.A variety of transformer-based pre-trained language models have been experimented with through this study.The best-scored model is an ensemble of AraBERT-Base, Asafya-BERT, and AR-BERT models.One of the study's key findings is showing the effect the pre-processing can have on every model's score.In addition to describing the winning model, the current study shows the error analysis.
Institution: Jordan University of Science and Technology
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W3169291960