activity
20162022
most citedPre-Training BERT on Arabic Tweets: Practical Considerations

85 citations · 128 across the 6 of their papers we have counts for

collaborators

11 papers

cs.CL2021

Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR

Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali +1

With the advent of globalization, there is an increasing demand for multilingual automatic speech recognition (ASR), handling language and dialectal variation of spoken content. Re…

cs.CL202185 cited

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…

cs.CL20217 cited

BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets

Fouzi Harrag, Maria Debbah, Kareem Darwish +1

During the last two decades, we have progressively turned to the Internet and social media to find news, entertain conversations and share opinion. Recently, OpenAI has developed a…

cs.IR2020

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

Firoj Alam, Fahim Dalvi, Shaden Shaar +8

With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories.…

cs.CL202025 cited

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…

cs.CL2020

Arabic Offensive Language on Twitter: Analysis and Experiments

Hamdy Mubarak, Ammar Rashed, Kareem Darwish +2

Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arab…