Hassan Sajjad
Cited by
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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
Robust classification of crisis-related data on social networks using convolutional neural networks
D Nguyen, KA Al Mannai, S Joty, H Sajjad, M Imran, P Mitra
Proceedings of the international AAAI conference on web and social media 11 …, 2017
Identifying and Controlling Important Neurons in Neural Machine Translation
A Bau, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass
ICLR, 2019
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
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
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
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain.
A Abdelali, F Guzman, H Sajjad, S Vogel
LREC 14, 1044-1054, 2014
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
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, ...
Proceedings of the International AAAI Conference on Web and Social Media 15 …, 2021
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
Integrating an Unsupervised Transliteration Model into Statistical Machine Translation
N Durrani, H Sajjad, H Hoang, P Koehn
EACL 2014, 148, 2014
Poor man’s bert: Smaller and faster transformer models
H Sajjad, F Dalvi, N Durrani, P Nakov
arXiv preprint arXiv:2004.03844 2 (2), 2020
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
Analyzing individual neurons in pre-trained language models
N Durrani, H Sajjad, F Dalvi, Y Belinkov
arXiv preprint arXiv:2010.02695, 2020
On the effect of dropping layers of pre-trained transformer models
H Sajjad, F Dalvi, N Durrani, P Nakov
Computer Speech & Language 77, 101429, 2023
Verifiably effective arabic dialect identification
K Darwish, H Sajjad, H Mubarak
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Analyzing redundancy in pretrained transformer models
F Dalvi, H Sajjad, N Durrani, Y Belinkov
arXiv preprint arXiv:2004.04010, 2020
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
On the linguistic representational power of neural machine translation models
Y Belinkov, N Durrani, F Dalvi, H Sajjad, J Glass
Computational Linguistics 46 (1), 1-52, 2020
Similarity analysis of contextual word representation models
JM Wu, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass
arXiv preprint arXiv:2005.01172, 2020
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