متابعة
Hassan Sajjad
Hassan Sajjad
Faculty of Computer Science, Dalhousie University
بريد إلكتروني تم التحقق منه على dal.ca - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
4752017
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
2722017
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
2232021
Identifying and Controlling Important Neurons in Neural Machine Translation‏
A Bau, Y Belinkov, H Sajjad, N Durrani, F Dalvi, J Glass‏
ICLR, 2019‏
2112019
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
2092019
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
1862020
The AMARA Corpus: Building Parallel Language Resources for the Educational Domain.‏
A Abdelali, F Guzman, H Sajjad, S Vogel‏
LREC 14, 1044-1054, 2014‏
1482014
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
1422023
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
1412021
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
1352018
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
1292016
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
1152020
Integrating an Unsupervised Transliteration Model into Statistical Machine Translation‏
N Durrani, H Sajjad, H Hoang, P Koehn‏
EACL 2014, 148, 2014‏
1132014
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
1092018
Analyzing redundancy in pretrained transformer models‏
F Dalvi, H Sajjad, N Durrani, Y Belinkov‏
arXiv preprint arXiv:2004.04010, 2020‏
1052020
Analyzing individual neurons in pre-trained language models‏
N Durrani, H Sajjad, F Dalvi, Y Belinkov‏
arXiv preprint arXiv:2010.02695, 2020‏
1042020
CrisisBench: Benchmarking crisis-related social media datasets for humanitarian information processing‏
F Alam, H Sajjad, M Imran, F Ofli‏
Proceedings of the International AAAI conference on web and social media 15 …, 2021‏
962021
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
852020
Neuron-level interpretation of deep nlp models: A survey‏
H Sajjad, N Durrani, F Dalvi‏
Transactions of the Association for Computational Linguistics 10, 1285-1303, 2022‏
832022
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
832020
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20