2020

  1. Adversarial Filters of Dataset Biases Ronan LeBras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, and Yejin Choi 2020 [HTML]
  2. The Right Tool for the Job: Matching Model and Instance Complexities Roy Schwartz, Gabi Stanovsky, Swabha Swayamdipta, Jesse Dodge, and Noah A. Smith In ACL 2020 [HTML]
  3. Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith 2020 [HTML]
  4. G-DAUG: Generative Data Augmentation for Commonsense Reasoning Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan LeBras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, and Doug Downey 2020 [HTML]

2019

  1. Transfer Learning in Natural Language Processing Sebastian Ruder, Matthew E Peters, Swabha Swayamdipta, and Thomas Wolf In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Tutorials 2019 [HTML]
  2. Shallow Syntax in Deep Water Swabha Swayamdipta, Matthew Peters, Brendan Roof, Chris Dyer, and Noah A. Smith 2019 [HTML]
  3. PhD Thesis: Syntactic Inductive Biases for Natural Language Processing Swabha Swayamdipta 2019 [PDF]

2018

  1. Annotation Artifacts in Natural Language Inference Data Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith In Proc. of NAACL 2018 [HTML] [Poster]
  2. Polyglot Semantic Role Labeling Phoebe Mulcaire, Swabha Swayamdipta, and Noah A. Smith In Proc. of ACL 2018 [HTML]
  3. Learning Joint Semantic Parsers from Disjoint Data Hao Peng, Sam Thomson, Swabha Swayamdipta, and Noah A. Smith In Proc. of NAACL-HLT 2018 [HTML]
  4. Multi-Mention Learning for Reading Comprehension with Neural Cascades Swabha Swayamdipta, Ankur P Parikh, and Tom Kwiatkowski In Proc. of ICLR 2018 [HTML] [Poster]
  5. Syntactic Scaffolds for Semantic Structures Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, and Noah A. Smith In Proc. of EMNLP 2018 [HTML]

2017

  1. DyNet: The Dynamic Neural Network Toolkit 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, and Pengcheng Yin 2017 [HTML]
  2. Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold Swabha Swayamdipta, Sam Thomson, Chris Dyer, and Noah A. Smith 2017 [HTML] [Poster]

2016

  1. Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, and Noah A. Smith In Proc. of CoNLL 2016 [HTML] [Slides]

2014

  1. A Dependency Parser for Tweets Lingpeng Kong, Nathan Schneider, Swabha Swayamdipta, Bhatia Archna, Chris Dyer, and Noah A. Smith In Proc. of EMNLP 2014 [HTML]
  2. CMU: Arc-Factored, Discriminative Semantic Dependency Parsing Sam Thomson, Brendan O’Connor, Jeffrey Flanigan, David Bamman, Jesse Dodge, Swabha Swayamdipta, Nathan Schneider, Chris Dyer, and Noah A. Smith In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014) 2014 [HTML]
  3. The CMU machine translation systems at WMT 2014 Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie, and Chris Dyer In Proceedings of the Ninth Workshop on Statistical Machine Translation 2014 [HTML]

2012

  1. The Pursuit of Power and its Manifestation in Written Dialog Swabha Swayamdipta, and Owen Rambow In 2012 IEEE Sixth International Conference on Semantic Computing 2012 [HTML]