| SemEval-2020 task 12: Multilingual offensive language identification in social media (OffensEval 2020) M Zampieri, P Nakov, S Rosenthal, P Atanasova, G Karadzhov, ... arXiv preprint arXiv:2006.07235, 2020 | 448 | 2020 |
| Farasa: A fast and furious segmenter for arabic A Abdelali, K Darwish, N Durrani, H Mubarak Proceedings of the 2016 conference of the North American chapter of the …, 2016 | 412 | 2016 |
| SemEval-2017 task 3: Community question answering P Nakov, D Hoogeveen, L Màrquez, A Moschitti, H Mubarak, T Baldwin, ... arXiv preprint arXiv:1912.00730, 2019 | 350 | 2019 |
| Abusive language detection on Arabic social media H Mubarak, K Darwish, W Magdy Proceedings of the first workshop on abusive language online, 52-56, 2017 | 289 | 2017 |
| Fighting the COVID-19 infodemic: modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society F Alam, S Shaar, F Dalvi, H Sajjad, A Nikolov, H Mubarak, GDS Martino, ... Findings of EMNLP-2021, 2021 | 133 | 2021 |
| Arabic offensive language on twitter: Analysis and experiments H Mubarak, A Rashed, K Darwish, Y Samih, A Abdelali arXiv preprint arXiv:2004.02192, 2020 | 127 | 2020 |
| Using Twitter to collect a multi-dialectal corpus of Arabic H Mubarak, K Darwish Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing …, 2014 | 115 | 2014 |
| Fighting the COVID-19 infodemic in social media: a holistic perspective and a call to arms F Alam, F Dalvi, S Shaar, N Durrani, H Mubarak, A Nikolov, GDS Martino, ... ICWSM-2021, 2021 | 105 | 2021 |
| The MGB-2 challenge: Arabic multi-dialect broadcast media recognition A Ali, P Bell, J Glass, Y Messaoui, H Mubarak, S Renals, Y Zhang 2016 IEEE Spoken Language Technology Workshop (SLT), 279-284, 2016 | 90 | 2016 |
| Farasa: A new fast and accurate Arabic word segmenter K Darwish, H Mubarak Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 82 | 2016 |
| Verifiably effective arabic dialect identification K Darwish, H Sajjad, H Mubarak Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 73 | 2014 |
| Overview of OSACT4 Arabic offensive language detection shared task H Mubarak, K Darwish, W Magdy, T Elsayed, H Al-Khalifa Proceedings of the 4th Workshop on open-source arabic corpora and processing …, 2020 | 71 | 2020 |
| Pre-training bert on arabic tweets: Practical considerations A Abdelali, S Hassan, H Mubarak, K Darwish, Y Samih arXiv preprint arXiv:2102.10684, 2021 | 70 | 2021 |
| Lluıs Marquez, Alessandro Moschitti, Walid Magdy, Hamdy Mubarak, Abed Alhakim Freihat, Jim Glass, and Bilal Randeree. 2016. SemEval-2016 task 3: Community question answering P Nakov Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016 | 69 | 2016 |
| Qcri: Answer selection for community question answering-experiment for arabic and english M Nicosia, S Filice, A Barrón-Cedeno, I Saleh, H Mubarak, W Gao, ... Association for Computational Linguistics, 2015 | 65 | 2015 |
| Arabic diacritization: Stats, rules, and hacks K Darwish, H Mubarak, A Abdelali Proceedings of the third Arabic natural language processing workshop, 9-17, 2017 | 63 | 2017 |
| Arsas: An arabic speech-act and sentiment corpus of tweets A Elmadany, H Mubarak, W Magdy OSACT 3, 20, 2018 | 59 | 2018 |
| The mgb-5 challenge: Recognition and dialect identification of dialectal arabic speech A Ali, S Shon, Y Samih, H Mubarak, A Abdelali, J Glass, S Renals, ... 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 52 | 2019 |
| The clef-2022 checkthat! lab on fighting the covid-19 infodemic and fake news detection P Nakov, A Barrón-Cedeño, G Da San Martino, F Alam, JM Struß, T Mandl, ... European Conference on Information Retrieval, 416-428, 2022 | 51 | 2022 |
| A multi-platform Arabic news comment dataset for offensive language detection SA Chowdhury, H Mubarak, A Abdelali, S Jung, BJ Jansen, J Salminen Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 51 | 2020 |
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