publications

2022

  1. arXiv
    REV: Information-Theoretic Evaluation of Free-Text Rationales
    Chen, Hanjie, Brahman, Faeze, Ren, Xiang, Ji, Yangfeng, Choi, Yejin,  and Swayamdipta, Swabha
    2022
  2. EMNLP
    Investigating the Benefits of Free-Form Rationales
    Sun, Jiao, Swayamdipta, Swabha, May, Jonathan,  and Ma, Xuezhe
    In Findings of EMNLP 2022
  3. EMNLP
    NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
    Howard, Phillip, Singer, Gadi, Lal, Vasudev, Choi, Yejin,  and Swayamdipta, Swabha
    In Findings of EMNLP 2022
  4. EMNLP
    WaNLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
    Liu, Alisa, Swayamdipta, Swabha, Smith, Noah A.,  and Choi, Yejin
    In Findings of EMNLP 2022
  5. NAACL
    Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing
    Cherry, Colin, Fan, Angela, Foster, George, Haffari, Gholamreza (Reza), Khadivi, Shahram, Peng, Nanyun (Violet), Ren, Xiang,  Shareghi, Ehsan and 1 more author
    Jul 2022
  6. NAACL
    Reframing Human-AI Collaboration for Generating Free-Text Explanations
    Wiegreffe, Sarah, Hessel, Jack, Swayamdipta, Swabha, Riedl, Mark,  and Choi, Yejin
    In Proc. of NAACL Jul 2022
  7. NAACL
    Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection
    Sap, Maarten, Swayamdipta, Swabha, Vianna, Laura, Zhou, Xuhui, Choi, Yejin,  and Smith, Noah A.
    In Proc. of NAACL Jul 2022
  8. ICML
    Understanding Dataset Difficulty with 𝒱-Usable Information
    Ethayarajh, Kawin, Choi, Yejin,  and Swayamdipta, Swabha
    In Proc. of ICML Jul 2022

2021

  1. NeurIPS
    MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
    Pillutla, Krishna, Swayamdipta, Swabha, Zellers, Rowan, Thickstun, John, Wellecks, Sean, Choi, Yejin,  and Harchaoui, Zaid
    In Proc. of NeurIPS Jul 2021
  2. EMNLP
    Sister Help: Data Augmentation for Frame-Semantic Role Labeling
    Pancholy, Ayush, Petruck, Miriam R. L.,  and Swayamdipta, Swabha
    In Proc. of LAW-DMR Workshop at EMNLP Jul 2021
  3. EMNLP
    Contrastive Explanations for Model Interpretability
    Jacovi, Alon, Swayamdipta, Swabha, Ravfogel, Shauli, Elazar, Yanai, Choi, Yejin,  and Goldberg, Yoav
    In Proc. of EMNLP Jul 2021
  4. ACL
    DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
    Liu, Alisa, Sap, Maarten, Lu, Ximing, Swayamdipta, Swabha, Bhagavatula, Chandra, Smith, Noah A.,  and Choi, Yejin
    In Proc. of ACL Jul 2021
  5. EACL
    Challenges in Automated Debiasing for Toxic Language Detection
    Zhou, Xuhui, Sap, Maarten, Swayamdipta, Swabha, Smith, Noah A.,  and Choi, Yejin
    In Proc. of EACL Jul 2021

2020

  1. EMNLP
    Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics
    Swayamdipta, Swabha, Schwartz, Roy, Lourie, Nicholas, Wang, Yizhong, Hajishirzi, Hannaneh, Smith, Noah A.,  and Choi, Yejin
    In Proc. of EMNLP Jul 2020
  2. ACL
    Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
    Gururangan, Suchin, Marasović, Ana, Swayamdipta, Swabha, Lo, Kyle, Beltagy, Iz, Downey, Doug,  and Smith, Noah A.
    In Proc. of ACL Jul 2020
  3. ICML
    Adversarial Filters of Dataset Biases
    LeBras, Ronan, Swayamdipta, Swabha, Bhagavatula, Chandra, Zellers, Rowan, Peters, Matthew E., Sabharwal, Ashish,  and Choi, Yejin
    In Proc. of ICML Jul 2020
  4. ACL
    The Right Tool for the Job: Matching Model and Instance Complexities
    Schwartz, Roy, Stanovsky, Gabi, Swayamdipta, Swabha, Dodge, Jesse,  and Smith, Noah A.
    In Proc. of ACL Jul 2020
  5. EMNLP
    G-DAUG: Generative Data Augmentation for Commonsense Reasoning
    Yang, Yiben, Malaviya, Chaitanya, Fernandez, Jared, Swayamdipta, Swabha, LeBras, Ronan, Wang, Ji-Ping, Bhagavatula, Chandra,  Choi, Yejin and 1 more author
    In Proc. of EMNLP Jun 2020

2019

  1. NAACL
    Tutorial on Transfer Learning in Natural Language Processing
    Ruder, Sebastian, Peters, Matthew E, Swayamdipta, Swabha,  and Wolf, Thomas
    In Proc. of NAACL Jun 2019
  2. arXiv
    Shallow Syntax in Deep Water
    Swayamdipta, Swabha, Peters, Matthew, Roof, Brendan, Dyer, Chris,  and Smith, Noah A.
    Jun 2019

2018

  1. NAACL
    Annotation Artifacts in Natural Language Inference Data
    Gururangan, Suchin, Swayamdipta, Swabha, Levy, Omer, Schwartz, Roy, Bowman, Samuel,  and Smith, Noah A.
    In Proc. of NAACL Jun 2018
  2. EMNLP
    Syntactic Scaffolds for Semantic Structures
    Swayamdipta, Swabha, Thomson, Sam, Lee, Kenton, Zettlemoyer, Luke, Dyer, Chris,  and Smith, Noah A.
    In EMNLP Jun 2018
  3. ICLR
    Multi-Mention Learning for Reading Comprehension with Neural Cascades
    Swayamdipta, Swabha, Parikh, Ankur P,  and Kwiatkowski, Tom
    In Proc. of ICLR Jun 2018
  4. NAACL
    Learning Joint Semantic Parsers from Disjoint Data
    Peng, Hao, Thomson, Sam, Swayamdipta, Swabha,  and Smith, Noah A.
    In Proc. of NAACL Jun 2018
  5. ACL
    Polyglot Semantic Role Labeling
    Mulcaire, Phoebe, Swayamdipta, Swabha,  and Smith, Noah A.
    In Proc. of ACL Jun 2018
  6. COLING
    Frame Semantics across Languages: Towards a Multilingual FrameNet
    Baker, Collin F., Ellsworth, Michael, Petruck, Miriam R. L.,  and Swayamdipta, Swabha
    In COLING: Tutorial Abstracts Aug 2018

2017

  1. arXiv
    DyNet: The Dynamic Neural Network Toolkit
    Neubig, Graham, Dyer, Chris, Goldberg, Yoav, Matthews, Austin, Ammar, Waleed, Anastasopoulos, Antonios, Ballesteros, Miguel,  Chiang, David and 17 more authors
    Aug 2017
  2. arXiv
    Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold
    Swayamdipta, Swabha, Thomson, Sam, Dyer, Chris,  and Smith, Noah A.
    Aug 2017

2016

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

2014

  1. EMNLP
    A Dependency Parser for Tweets
    Kong, Lingpeng, Schneider, Nathan, Swayamdipta, Swabha, Archna, Bhatia, Dyer, Chris,  and Smith, Noah A.
    In Proc. of EMNLP Aug 2014
  2. SemEval
    CMU: Arc-Factored, Discriminative Semantic Dependency Parsing
    Thomson, Sam, O’Connor, Brendan, Flanigan, Jeffrey, Bamman, David, Dodge, Jesse, Swayamdipta, Swabha, Schneider, Nathan,  Dyer, Chris and 1 more author
    In Proc. of SemEval Aug 2014
  3. WMT
    The CMU machine translation systems at WMT 2014
    Matthews, Austin, Ammar, Waleed, Bhatia, Archna, Feely, Weston, Hanneman, Greg, Schlinger, Eva, Swayamdipta, Swabha,  Tsvetkov, Yulia and 2 more authors
    In Proc. of WMT Aug 2014

2012

  1. ICSC
    The Pursuit of Power and its Manifestation in Written Dialog
    Swayamdipta, Swabha,  and Rambow, Owen
    In Proc. of ICSC Aug 2012