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Hassan Sajjad
Hassan Sajjad
Qatar Computing Research Institute, HBKU
在 hbku.edu.qa 的电子邮件经过验证 - 首页
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引用次数
引用次数
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What do neural machine translation models learn about morphology?
Y Belinkov, N Durrani, F Dalvi, H Sajjad, J Glass
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
3062017
Robust classification of crisis-related data on social networks using convolutional neural networks
DT Nguyen, KA Al Mannai, S Joty, H Sajjad, M Imran, P Mitra
Eleventh international AAAI conference on web and social media, 2017
1292017
Integrating an Unsupervised Transliteration Model into Statistical Machine Translation
N Durrani, H Sajjad, H Hoang, P Koehn
EACL 2014, 148, 2014
992014
Identifying and Controlling Important Neurons in Neural Machine Translation
A Bau, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass
ICLR, 2019
912019
Applications of online deep learning for crisis response using social media information
DT Nguyen, S Joty, M Imran, H Sajjad, P Mitra
arXiv preprint arXiv:1610.01030, 2016
912016
What is one grain of sand in the desert? analyzing individual neurons in deep nlp models
F Dalvi, N Durrani, H Sajjad, Y Belinkov, A Bau, J Glass
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6309-6317, 2019
822019
The AMARA corpus: Building parallel language resources for the educational domain
A Abdelali, F Guzman, H Sajjad, S Vogel
Proceedings of the Ninth International Conference on Language Resources and …, 2014
802014
Evaluating layers of representation in neural machine translation on part-of-speech and semantic tagging tasks
Y Belinkov, L Màrquez, H Sajjad, N Durrani, F Dalvi, J Glass
arXiv preprint arXiv:1801.07772, 2018
722018
Incremental decoding and training methods for simultaneous translation in neural machine translation
F Dalvi, N Durrani, H Sajjad, S Vogel
arXiv preprint arXiv:1806.03661, 2018
692018
Hindi-to-Urdu machine translation through transliteration
N Durrani, H Sajjad, A Fraser, H Schmid
Proceedings of the 48th Annual meeting of the Association for Computational …, 2010
692010
Verifiably effective arabic dialect identification
K Darwish, H Sajjad, H Mubarak
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
642014
On the effect of dropping layers of pre-trained transformer models
H Sajjad, F Dalvi, N Durrani, P Nakov
arXiv preprint arXiv:2004.03844, 2020
61*2020
Compressing large-scale transformer-based models: A case study on bert
P Ganesh, Y Chen, X Lou, MA Khan, Y Yang, H Sajjad, P Nakov, D Chen, ...
Transactions of the Association for Computational Linguistics 9, 1061-1080, 2021
592021
Translating dialectal arabic to english
H Sajjad, K Darwish, Y Belinkov
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
582013
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, ...
arXiv preprint arXiv:2005.00033, 2020
562020
Understanding and improving morphological learning in the neural machine translation decoder
F Dalvi, N Durrani, H Sajjad, Y Belinkov, S Vogel
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
552017
Rapid classification of crisis-related data on social networks using convolutional neural networks
DT Nguyen, KAA Mannai, S Joty, H Sajjad, M Imran, P Mitra
arXiv preprint arXiv:1608.03902, 2016
542016
Findings of the first shared task on machine translation robustness
X Li, P Michel, A Anastasopoulos, Y Belinkov, N Durrani, O Firat, P Koehn, ...
arXiv preprint arXiv:1906.11943, 2019
532019
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, ...
ICWSM, 913-922, 2021
482021
A statistical model for unsupervised and semi-supervised transliteration mining
H Sajjad, A Fraser, H Schmid
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
482012
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