85 citations · 128 across the 4 of their papers we have counts for
5 papers
APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations
Katherine Atwell, Sabit Hassan, Malihe Alikhani
Using style-transfer models to reduce offensiveness of social media comments can help foster a more inclusive environment. However, there are no sizable datasets that contain offen…
ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination
Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury +1
The emergence of the COVID-19 pandemic and the first global infodemic have changed our lives in many different ways. We relied on social media to get the latest information about t…
Pre-Training BERT on Arabic Tweets: Practical Considerations
Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak +2
Pretraining Bidirectional Encoder Representations from Transformers (BERT) for downstream NLP tasks is a non-trival task. We pretrained 5 BERT models that differ in the size of the…
ArCorona: Analyzing Arabic Tweets in the Early Days of Coronavirus (COVID-19) Pandemic
Hamdy Mubarak, Sabit Hassan
Over the past few months, there were huge numbers of circulating tweets and discussions about Coronavirus (COVID-19) in the Arab region. It is important for policy makers and many…
Arabic Dialect Identification in the Wild
Ahmed Abdelali, Hamdy Mubarak, Younes Samih +2
We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects -covering 18 different countries in the Middle East and Nor…