86 citations · 332 across the 36 of their papers we have counts for
7 papers · 2 filters
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…
A Panoramic Survey of Natural Language Processing in the Arab World
Kareem Darwish, Nizar Habash, Mourad Abbas +9
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural langu…
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
Marcos Zampieri, Preslav Nakov, Sara Rosenthal +6
We present the results and main findings of SemEval-2020 Task 12 on Multilingual Offensive Language Identification in Social Media (OffensEval 2020). The task involves three subtas…
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…
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Firoj Alam, Shaden Shaar, Fahim Dalvi +14
With the emergence of the COVID-19 pandemic, the political and the medical aspects of disinformation merged as the problem got elevated to a whole new level to become the first glo…
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…
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model
Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak +1
Diacritics (short vowels) are typically omitted when writing Arabic text, and readers have to reintroduce them to correctly pronounce words. There are two types of Arabic diacritic…