Mike Lewis
Mike Lewis
Facebook AI Research
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Roberta: A robustly optimized bert pretraining approach
Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ...
arXiv preprint arXiv:1907.11692, 2019
3479*2019
Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
M Lewis, Y Liu, N Goyal, M Ghazvininejad, A Mohamed, O Levy, ...
arXiv preprint arXiv:1910.13461, 2019
8252019
End-to-end neural coreference resolution
K Lee, L He, M Lewis, L Zettlemoyer
arXiv preprint arXiv:1707.07045, 2017
4992017
Hierarchical neural story generation
A Fan, M Lewis, Y Dauphin
arXiv preprint arXiv:1805.04833, 2018
4152018
Deep semantic role labeling: What works and what’s next
L He, K Lee, M Lewis, L Zettlemoyer
Proceedings of the 55th Annual Meeting of the Association for Computational†…, 2017
3552017
Deal or no deal? end-to-end learning for negotiation dialogues
M Lewis, D Yarats, YN Dauphin, D Parikh, D Batra
arXiv preprint arXiv:1706.05125, 2017
2312017
Combined distributional and logical semantics
M Lewis, M Steedman
Transactions of the Association for Computational Linguistics 1, 179-192, 2013
1712013
Multilingual denoising pre-training for neural machine translation
Y Liu, J Gu, N Goyal, X Li, S Edunov, M Ghazvininejad, M Lewis, ...
Transactions of the Association for Computational Linguistics 8, 726-742, 2020
1642020
A* CCG parsing with a supertag-factored model
M Lewis, M Steedman
Proceedings of the 2014 Conference on Empirical Methods in Natural Language†…, 2014
1242014
Question-answer driven semantic role labeling: Using natural language to annotate natural language
L He, M Lewis, L Zettlemoyer
Proceedings of the 2015 conference on empirical methods in natural language†…, 2015
1212015
A corpus of natural language for visual reasoning
A Suhr, M Lewis, J Yeh, Y Artzi
Proceedings of the 55th Annual Meeting of the Association for Computational†…, 2017
1062017
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H KŁttler, ...
arXiv preprint arXiv:2005.11401, 2020
952020
Lstm ccg parsing
M Lewis, K Lee, L Zettlemoyer
Proceedings of the 2016 Conference of the North American Chapter of the†…, 2016
922016
Cross-lingual transfer learning for multilingual task oriented dialog
S Schuster, S Gupta, R Shah, M Lewis
arXiv preprint arXiv:1810.13327, 2018
892018
Strategies for structuring story generation
A Fan, M Lewis, Y Dauphin
arXiv preprint arXiv:1902.01109, 2019
812019
Semantic parsing for task oriented dialog using hierarchical representations
S Gupta, R Shah, M Mohit, A Kumar, M Lewis
arXiv preprint arXiv:1810.07942, 2018
732018
Generalization through memorization: Nearest neighbor language models
U Khandelwal, O Levy, D Jurafsky, L Zettlemoyer, M Lewis
arXiv preprint arXiv:1911.00172, 2019
702019
Melnet: A generative model for audio in the frequency domain
S Vasquez, M Lewis
arXiv preprint arXiv:1906.01083, 2019
632019
Asking and answering questions to evaluate the factual consistency of summaries
A Wang, K Cho, M Lewis
arXiv preprint arXiv:2004.04228, 2020
542020
Joint A* CCG parsing and semantic role labelling
M Lewis, L He, L Zettlemoyer
Proceedings of the 2015 Conference on Empirical Methods in Natural Language†…, 2015
492015
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