| 2024 | ACL | Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing. | Freda Shi, Kevin Gimpel, Karen Livescu |
| 2024 | ACL | MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy. | Davis Yoshida, Kartik Goyal, Kevin Gimpel |
| 2024 | NAACL | GEE! Grammar Error Explanation with Large Language Models. | Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer |
| 2023 | ASRU | Audio-Visual Neural Syntax Acquisition. | Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass |
| 2023 | EMNLP | The Benefits of Label-Description Training for Zero-Shot Text Classification. | Lingyu Gao, Debanjan Ghosh, Kevin Gimpel |
| 2022 | AAAI | Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. | Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan |
| 2022 | AAAI | Chess as a Testbed for Language Model State Tracking. | Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel |
| 2022 | ACL | SummScreen: A Dataset for Abstractive Screenplay Summarization. | Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel |
| 2022 | ACL | Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. | Freda Shi, Kevin Gimpel, Karen Livescu |
| 2022 | EMNLP | Baked-in State Probing. | Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel |
| 2022 | EMNLP | Paraphrastic Representations at Scale. | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2021 | ACL | WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. | Mingda Chen, Sam Wiseman, Kevin Gimpel |
| 2021 | ACL | Unsupervised Label Refinement Improves Dataless Text Classification. | Zewei Chu, Karl Stratos, Kevin Gimpel |
| 2021 | ACL | Substructure Substitution: Structured Data Augmentation for NLP. | Haoyue Shi, Karen Livescu, Kevin Gimpel |
| 2021 | EMNLP | Reconsidering the Past: Optimizing Hidden States in Language Models. | Davis Yoshida, Kevin Gimpel |
| 2021 | NAACL | FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models. | Xiaoan Ding, Kevin Gimpel |
| 2020 | AAAI | How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. | Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si |
| 2020 | ACL | PeTra: A Sparsely Supervised Memory Model for People Tracking. | Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu |
| 2020 | ACL | ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. | Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel |
| 2020 | EMNLP | Mining Knowledge for Natural Language Inference from Wikipedia Categories. | Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel |
| 2020 | EMNLP | Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. | Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel |
| 2020 | EMNLP | On the Role of Supervision in Unsupervised Constituency Parsing. | Haoyue Shi, Karen Livescu, Kevin Gimpel |
| 2020 | EMNLP | Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. | Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel |
| 2020 | EMNLP | An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. | Lifu Tu, Tianyu Liu, Kevin Gimpel |
| 2020 | ICLR | ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. | Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut |
| 2019 | ACL | Controllable Paraphrase Generation with a Syntactic Exemplar. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2019 | ACL | Visually Grounded Neural Syntax Acquisition. | Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu |
| 2019 | ACL | Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. | John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig |
| 2019 | ACL | Simple and Effective Paraphrastic Similarity from Parallel Translations. | John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick |
| 2019 | EMNLP | EntEval: A Holistic Evaluation Benchmark for Entity Representations. | Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel |
| 2019 | EMNLP | Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. | Mingda Chen, Zewei Chu, Kevin Gimpel |
| 2019 | EMNLP | Latent-Variable Generative Models for Data-Efficient Text Classification. | Xiaoan Ding, Kevin Gimpel |
| 2019 | EMNLP | Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer. | Richard Yuanzhe Pang, Kevin Gimpel |
| 2019 | EMNLP | Generating Diverse Story Continuations with Controllable Semantics. | Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel |
| 2019 | NAACL | A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. | Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel |
| 2019 | NAACL | PoMo: Generating Entity-Specific Post-Modifiers in Context. | Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian |
| 2019 | NAACL | Benchmarking Approximate Inference Methods for Neural Structured Prediction. | Lifu Tu, Kevin Gimpel |
| 2019 | WWW | Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models. | Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf |
| 2018 | ACL | ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. | John Wieting, Kevin Gimpel |
| 2018 | EMNLP | Variational Sequential Labelers for Semi-Supervised Learning. | Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel |
| 2018 | ICASSP | A Study of All-Convolutional Encoders for Connectionist Temporal Classification. | Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu |
| 2018 | ICLR | Learning Approximate Inference Networks for Structured Prediction. | Lifu Tu, Kevin Gimpel |
| 2018 | NAACL | Smaller Text Classifiers with Discriminative Cluster Embeddings. | Mingda Chen, Kevin Gimpel |
| 2018 | NAACL | Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. | Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer |
| 2018 | NAACL | Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information. | Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf |
| 2017 | ACL | Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. | Zheng Cai, Lifu Tu, Kevin Gimpel |
| 2017 | ACL | Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. | John Wieting, Kevin Gimpel |
| 2017 | EACL | Broad Context Language Modeling as Reading Comprehension. | Zewei Chu, Hai Wang, Kevin Gimpel, David A. McAllester |
| 2017 | EMNLP | Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. | John Wieting, Jonathan Mallinson, Kevin Gimpel |
| 2017 | ICLR | A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks. | Dan Hendrycks, Kevin Gimpel |
| 2017 | ICLR | Early Methods for Detecting Adversarial Images. | Dan Hendrycks, Kevin Gimpel |
| 2016 | ACL | Commonsense Knowledge Base Completion. | Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel |
| 2016 | EMNLP | Who did What: A Large-Scale Person-Centered Cloze Dataset. | Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester |
| 2016 | EMNLP | Charagram: Embedding Words and Sentences via Character n-grams. | John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu |
| 2016 | Interspeech | Efficient Segmental Cascades for Speech Recognition. | Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu |
| 2015 | ACL | Machine Comprehension with Syntax, Frames, and Semantics. | Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester |
| 2015 | ASRU | Discriminative segmental cascades for feature-rich phone recognition. | Hao Tang, Weiran Wang, Kevin Gimpel, Karen Livescu |
| 2015 | EMNLP | Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks. | Hua He, Kevin Gimpel, Jimmy Lin |
| 2015 | NAACL | Deep Multilingual Correlation for Improved Word Embeddings. | Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, Karen Livescu |
| 2014 | ACL | Tailoring Continuous Word Representations for Dependency Parsing. | Mohit Bansal, Kevin Gimpel, Karen Livescu |
| 2014 | EMNLP | Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation. | Kevin Gimpel, Mohit Bansal |
| 2014 | Interspeech | A comparison of training approaches for discriminative segmental models. | Hao Tang, Kevin Gimpel, Karen Livescu |
| 2013 | EMNLP | A Systematic Exploration of Diversity in Machine Translation. | Kevin Gimpel, Dhruv Batra, Chris Dyer, Gregory Shakhnarovich |
| 2013 | NAACL | Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters. | Olutobi Owoputi, Brendan O'Connor, Chris Dyer, Kevin Gimpel, Nathan Schneider, Noah A. Smith |
| 2012 | EMNLP | Word Salad: Relating Food Prices and Descriptions. | Victor Chahuneau, Kevin Gimpel, Bryan R. Routledge, Lily Scherlis, Noah A. Smith |
| 2012 | NAACL | Structured Ramp Loss Minimization for Machine Translation. | Kevin Gimpel, Noah A. Smith |
| 2012 | NAACL | Concavity and Initialization for Unsupervised Dependency Parsing. | Kevin Gimpel, Noah A. Smith |
| 2011 | ACL | Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. | Kevin Gimpel, Nathan Schneider, Brendan O'Connor, Dipanjan Das, Daniel Mills, Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, Noah A. Smith |
| 2011 | EMNLP | Quasi-Synchronous Phrase Dependency Grammars for Machine Translation. | Kevin Gimpel, Noah A. Smith |
| 2010 | CoNLL | Distributed Asynchronous Online Learning for Natural Language Processing. | Kevin Gimpel, Dipanjan Das, Noah A. Smith |
| 2010 | NAACL | Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions. | Kevin Gimpel, Noah A. Smith |
| 2010 | NAACL | Movie Reviews and Revenues: An Experiment in Text Regression. | Mahesh Joshi, Dipanjan Das, Kevin Gimpel, Noah A. Smith |
| 2009 | EACL | Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings. | Kevin Gimpel, Noah A. Smith |
| 2009 | EMNLP | Feature-Rich Translation by Quasi-Synchronous Lattice Parsing. | Kevin Gimpel, Noah A. Smith |