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Swabha Swayamdipta
Swabha Swayamdipta
Allen Institute of Artificial Intelligence
Verified email at allenai.org - Homepage
Title
Cited by
Cited by
Year
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks
S Gururangan, A Marasović, S Swayamdipta, K Lo, I Beltagy, D Downey, ...
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
6942020
Annotation artifacts in natural language inference data
S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ...
Proceedings of the 2016 Conference of the North American Chapter of the …, 2018
6682018
A dependency parser for tweets
L Kong, N Schneider, S Swayamdipta, A Bhatia, C Dyer, NA Smith
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
2632014
Transfer learning in natural language processing
S Ruder, ME Peters, S Swayamdipta, T Wolf
Proceedings of the 2019 conference of the North American chapter of the …, 2019
2502019
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
2372017
Frame-semantic parsing with softmax-margin segmental rnns and a syntactic scaffold
S Swayamdipta, S Thomson, C Dyer, NA Smith
arXiv preprint arXiv:1706.09528, 2017
962017
Adversarial Filters of Dataset Biases
R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ...
Proceedings of ICML, 2019
922019
Syntactic Scaffolds for Semantic Structures
S Swayamdipta, S Thomson, K Lee, L Zettlemoyer, C Dyer, NA Smith
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
882018
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
822020
Greedy, joint syntactic-semantic parsing with stack LSTMs
S Swayamdipta, M Ballesteros, C Dyer, NA Smith
SIGNLL Conference on Computational Natural Language Learning 16, http …, 2016
592016
G-Daug: Generative Data Augmentation for Commonsense Reasoning
Y Yang, C Malaviya, J Fernandez, S Swayamdipta, RL Bras, JP Wang, ...
Findings of the Association for Computational Linguistics: EMNLP 2020, 1008 …, 2020
54*2020
The Right Tool for the Job: Matching Model and Instance Complexities
R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
532020
Learning joint semantic parsers from disjoint data
H Peng, S Thomson, S Swayamdipta, NA Smith
Proceedings of the 2018 Conference of the North American Chapter of the …, 2018
462018
Challenges in Automated Debiasing for Toxic Language Detection
X Zhou, M Sap, S Swayamdipta, NA Smith, Y Choi
Proceedings of 16th Conference of the European Chapter of the Association …, 2021
432021
Polyglot Semantic Role Labeling
P Mulcaire, S Swayamdipta, N Smith
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
342018
Multi-mention learning for reading comprehension with neural cascades
S Swayamdipta, AP Parikh, T Kwiatkowski
International Conference on Learning Representations, 2017
292017
DExperts: Decoding-time controlled text generation with experts and anti-experts
A Liu, M Sap, X Lu, S Swayamdipta, C Bhagavatula, NA Smith, Y Choi
arXiv preprint arXiv:2105.03023, 2021
25*2021
CMU: Arc-factored, discriminative semantic dependency parsing
S Thompson, B O'Connor, J Flanigan, D Bamman, J Dodge, ...
Carnegie Mellon University, 2014
142014
The pursuit of power and its manifestation in written dialog
S Swayamdipta, O Rambow
2012 IEEE Sixth International Conference on Semantic Computing, 22-29, 2012
132012
Shallow syntax in deep water
S Swayamdipta, M Peters, B Roof, C Dyer, NA Smith
arXiv preprint arXiv:1908.11047, 2019
122019
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Articles 1–20