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DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts


Jun 03, 2021
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi

* ACL 2021 camera-ready 

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On-the-Fly Controlled Text Generation with Experts and Anti-Experts


May 07, 2021
Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, Yejin Choi

* Accepted to ACL 2021, camera-ready version coming soon 

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Contrastive Explanations for Model Interpretability


Mar 02, 2021
Alon Jacovi, Swabha Swayamdipta, Shauli Ravfogel, Yanai Elazar, Yejin Choi, Yoav Goldberg


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MAUVE: Human-Machine Divergence Curves for Evaluating Open-Ended Text Generation


Feb 02, 2021
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Yejin Choi, Zaid Harchaoui


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Challenges in Automated Debiasing for Toxic Language Detection


Jan 29, 2021
Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, Yejin Choi

* EACL 2021 

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Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics


Oct 15, 2020
Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, Yejin Choi

* Proceedings of EMNLP 2020 

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The Right Tool for the Job: Matching Model and Instance Complexities


May 09, 2020
Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge, Noah A. Smith

* ACL 2020; 12 pages; code available in https://github.com/allenai/sledgehammer 

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Don't Stop Pretraining: Adapt Language Models to Domains and Tasks


May 05, 2020
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith

* ACL 2020 

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G-DAUG: Generative Data Augmentation for Commonsense Reasoning


Apr 24, 2020
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey


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Adversarial Filters of Dataset Biases


Feb 20, 2020
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi


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Shallow Syntax in Deep Water


Aug 29, 2019
Swabha Swayamdipta, Matthew Peters, Brendan Roof, Chris Dyer, Noah A. Smith


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Syntactic Scaffolds for Semantic Structures


Aug 30, 2018
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith

* Accepted at EMNLP 2018 

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Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs


Jul 05, 2018
Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A. Smith

* Proceedings of CoNLL 2016; 13 pages, 5 figures 

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Multi-Mention Learning for Reading Comprehension with Neural Cascades


May 30, 2018
Swabha Swayamdipta, Ankur P. Parikh, Tom Kwiatkowski

* Proceedings of ICLR 2018 

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Polyglot Semantic Role Labeling


May 29, 2018
Phoebe Mulcaire, Swabha Swayamdipta, Noah Smith

* To appear at ACL 2018 

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Learning Joint Semantic Parsers from Disjoint Data


Apr 17, 2018
Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith

* NAACL 2018 

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Annotation Artifacts in Natural Language Inference Data


Apr 16, 2018
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith

* 6 pages, 1 figure, NAACL 2018 

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Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold


Jun 29, 2017
Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith


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DyNet: The Dynamic Neural Network Toolkit


Jan 15, 2017
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin

* 33 pages 

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