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Swabha Swayamdipta
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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
19532020
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
11262018
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
6502019
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
3142020
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
2922014
DyNet: The Dynamic Neural Network Toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
2732017
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
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
2162021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
K Pillutla, S Swayamdipta, R Zellers, J Thickstun, S Welleck, Y Choi, ...
Advances in Neural Information Processing Systems 34, 4816-4828, 2021
2042021
Adversarial Filters of Dataset Biases
R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ...
Proceedings of ICML, 2019
1952019
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
172*2020
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
M Sap, S Swayamdipta, L Vianna, X Zhou, Y Choi, NA Smith
Proceedings of the 2022 Conference of the North American Chapter of the …, 2021
1652021
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
A Liu, S Swayamdipta, NA Smith, Y Choi
Findings of the Association for Computational Linguistics: EMNLP 2022, 6826–6847, 2022
1522022
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
1472020
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
1412017
Understanding Dataset Difficulty with V-Usable Information.
K Ethayarajh, Y Choi, S Swayamdipta
International Conference on Machine Learning, 5988-6008, 2022
129*2022
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
1242021
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
1162018
Reframing Human-AI Collaboration for Generating Free-Text Explanations
S Wiegreffe, J Hessel, S Swayamdipta, M Riedl, Y Choi
Proceedings of the 2022 Conference of the North American Chapter of the …, 2021
1042021
Contrastive Explanations for Model Interpretability
A Jacovi, S Swayamdipta, S Ravfogel, Y Elazar, Y Choi, Y Goldberg
Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021
822021
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
682018
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Articles 1–20