Swabha Swayamdipta
Swabha Swayamdipta
Allen Institute of Artificial Intelligence
Verified email at allenai.org - Homepage
Title
Cited by
Cited by
Year
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
5242018
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
4262020
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
2482014
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
2212017
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
1652019
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
842017
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
762018
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
532016
Adversarial Filters of Dataset Biases
R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ...
Proceedings of ICML, 2019
52*2019
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
422018
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
392020
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
322020
Polyglot Semantic Role Labeling
P Mulcaire, S Swayamdipta, N Smith
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
322018
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
29*2020
Multi-mention learning for reading comprehension with neural cascades
S Swayamdipta, AP Parikh, T Kwiatkowski
International Conference on Learning Representations, 2017
282017
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
192021
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
The CMU machine translation systems at WMT 2014
A Matthews, W Ammar, A Bhatia, W Feely, G Hanneman, E Schlinger, ...
Proceedings of the Ninth Workshop on Statistical Machine Translation, 142-149, 2014
112014
Shallow syntax in deep water
S Swayamdipta, M Peters, B Roof, C Dyer, NA Smith
arXiv preprint arXiv:1908.11047, 2019
82019
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Articles 1–20