Hamdy Mubarak
Hamdy Mubarak
Principal Software Engineer, Qatar Computing Research Institute (QCRI), Qatar Foundation
Verified email at
Cited by
Cited by
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
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
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
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
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
Arabic offensive language on twitter: Analysis and experiments
H Mubarak, A Rashed, K Darwish, Y Samih, A Abdelali
arXiv preprint arXiv:2004.02192, 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
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
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
Farasa: A new fast and accurate Arabic word segmenter
K Darwish, H Mubarak
Proceedings of the Tenth International Conference on Language Resources and …, 2016
Pre-training bert on arabic tweets: Practical considerations
A Abdelali, S Hassan, H Mubarak, K Darwish, Y Samih
arXiv preprint arXiv:2102.10684, 2021
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
Verifiably effective arabic dialect identification
K Darwish, H Sajjad, H Mubarak
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
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
Arabic diacritization: Stats, rules, and hacks
K Darwish, H Mubarak, A Abdelali
Proceedings of the third Arabic natural language processing workshop, 9-17, 2017
Arsas: An arabic speech-act and sentiment corpus of tweets
A Elmadany, H Mubarak, W Magdy
OSACT 3, 20, 2018
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
Overview of 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, ...
International Conference of the Cross-Language Evaluation Forum for European …, 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
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
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