Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction. - Shay B. Cohen; Kevin Gimpel; Noah A. Smith (NIPS, 2008)

Rich Source-Side Context for Statistical Machine Translation. - Kevin Gimpel; Noah A. Smith (WMT@ACL, 2008)

Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings. - Kevin Gimpel; Noah A. Smith (EACL, 2009)

Feature-Rich Translation by Quasi-Synchronous Lattice Parsing. - Kevin Gimpel; Noah A. Smith (EMNLP, 2009)

Distributed Asynchronous Online Learning for Natural Language Processing. - Kevin Gimpel; Dipanjan Das 001; Noah A. Smith (CoNLL, 2010)

Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions. - Kevin Gimpel; Noah A. Smith (HLT-NAACL, 2010)

Movie Reviews and Revenues: An Experiment in Text Regression. - Mahesh Joshi; Dipanjan Das 001; Kevin Gimpel; Noah A. Smith (HLT-NAACL, 2010)

Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments. - Kevin Gimpel; Nathan Schneider 001; Brendan O'Connor 001; Dipanjan Das 001; Daniel Mills; Jacob Eisenstein; Michael Heilman; Dani Yogatama; Jeffrey Flanigan; Noah A. Smith (ACL (2), 2011)

Quasi-Synchronous Phrase Dependency Grammars for Machine Translation. - Kevin Gimpel; Noah A. Smith (EMNLP, 2011)

The CMU-ARK German-English Translation System. - Chris Dyer; Kevin Gimpel; Jonathan H. Clark; Noah A. Smith (WMT@EMNLP, 2011)

Generative Models of Monolingual and Bilingual Gappy Patterns. - Kevin Gimpel; Noah A. Smith (WMT@EMNLP, 2011)

Word Salad: Relating Food Prices and Descriptions. - Victor Chahuneau; Kevin Gimpel; Bryan R. Routledge; Lily Scherlis; Noah A. Smith (EMNLP-CoNLL, 2012)

Structured Ramp Loss Minimization for Machine Translation. - Kevin Gimpel; Noah A. Smith (HLT-NAACL, 2012)

Concavity and Initialization for Unsupervised Dependency Parsing. - Kevin Gimpel; Noah A. Smith (HLT-NAACL, 2012)

A Systematic Exploration of Diversity in Machine Translation. - Kevin Gimpel; Dhruv Batra; Chris Dyer; Gregory Shakhnarovich (EMNLP, 2013)

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters. - Olutobi Owoputi; Brendan O'Connor 001; Chris Dyer; Kevin Gimpel; Nathan Schneider 001; Noah A. Smith (HLT-NAACL, 2013)

Predicting the NFL using Twitter. - Shiladitya Sinha; Chris Dyer; Kevin Gimpel; Noah A. Smith (MLSA@PKDD/ECML, 2013)

Tailoring Continuous Word Representations for Dependency Parsing. - Mohit Bansal; Kevin Gimpel; Karen Livescu (ACL (2), 2014)

Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation. - Kevin Gimpel; Mohit Bansal (EMNLP, 2014)

A comparison of training approaches for discriminative segmental models. - Hao Tang 002; Kevin Gimpel; Karen Livescu (INTERSPEECH, 2014)

Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features. - Kevin Gimpel; Noah A. Smith (Comput. Linguistics, 2014)

Machine Comprehension with Syntax, Frames, and Semantics. - Hai Wang 013; Mohit Bansal; Kevin Gimpel; David A. McAllester (ACL (2), 2015)

Discriminative segmental cascades for feature-rich phone recognition. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (ASRU, 2015)

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks. - Hua He; Kevin Gimpel; Jimmy Lin (EMNLP, 2015)

Deep Multilingual Correlation for Improved Word Embeddings. - Ang Lu; Weiran Wang; Mohit Bansal; Kevin Gimpel; Karen Livescu (HLT-NAACL, 2015)

A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment. - Jing Wang 102; Mohit Bansal; Kevin Gimpel; Brian D. Ziebart; Clement T. Yu (Trans. Assoc. Comput. Linguistics, 2015)

From Paraphrase Database to Compositional Paraphrase Model and Back. - John Wieting; Mohit Bansal; Kevin Gimpel; Karen Livescu (Trans. Assoc. Comput. Linguistics, 2015)

Commonsense Knowledge Base Completion. - Xiang Li 069; Aynaz Taheri; Lifu Tu; Kevin Gimpel (ACL (1), 2016)

Who did What: A Large-Scale Person-Centered Cloze Dataset. - Takeshi Onishi; Hai Wang 013; Mohit Bansal; Kevin Gimpel; David A. McAllester (EMNLP, 2016)

Charagram: Embedding Words and Sentences via Character n-grams. - John Wieting; Mohit Bansal; Kevin Gimpel; Karen Livescu (EMNLP, 2016)

Efficient Segmental Cascades for Speech Recognition. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (INTERSPEECH, 2016)

Constraints Based Convex Belief Propagation. - Yaniv Tenzer; Alexander G. Schwing; Kevin Gimpel; Tamir Hazan (NIPS, 2016)

Mapping Unseen Words to Task-Trained Embedding Spaces. - Pranava Swaroop Madhyastha; Mohit Bansal; Kevin Gimpel; Karen Livescu (Rep4NLP@ACL, 2016)

UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement. - Hua He; John Wieting; Kevin Gimpel; Jinfeng Rao; Jimmy Lin (SemEval@NAACL-HLT, 2016)

End-to-end training approaches for discriminative segmental models. - Hao Tang 002; Weiran Wang; Kevin Gimpel; Karen Livescu (SLT, 2016)

Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units. - Dan Hendrycks; Kevin Gimpel (CoRR, 2016)

Generalizing and Improving Weight Initialization. - Dan Hendrycks; Kevin Gimpel (CoRR, 2016)

Visible Progress on Adversarial Images and a New Saliency Map. - Dan Hendrycks; Kevin Gimpel (CoRR, 2016)

Emergent Logical Structure in Vector Representations of Neural Readers. - Hai Wang 013; Takeshi Onishi; Kevin Gimpel; David A. McAllester (CoRR, 2016)

Towards Universal Paraphrastic Sentence Embeddings. - John Wieting; Mohit Bansal; Kevin Gimpel; Karen Livescu (ICLR, 2016)

Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task. - Zheng Cai; Lifu Tu; Kevin Gimpel (ACL (2), 2017)

Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings. - John Wieting; Kevin Gimpel (ACL (1), 2017)

Broad Context Language Modeling as Reading Comprehension. - Zewei Chu; Hai Wang 013; Kevin Gimpel; David A. McAllester (EACL (2), 2017)

Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext. - John Wieting; Jonathan Mallinson; Kevin Gimpel (EMNLP, 2017)

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks. - Dan Hendrycks; Kevin Gimpel (ICLR (Poster), 2017)

Early Methods for Detecting Adversarial Images. - Dan Hendrycks; Kevin Gimpel (ICLR (Workshop), 2017)

Learning to Embed Words in Context for Syntactic Tasks. - Lifu Tu; Kevin Gimpel; Karen Livescu (Rep4NLP@ACL, 2017)

Emergent Predication Structure in Hidden State Vectors of Neural Readers. - Hai Wang 013; Takeshi Onishi; Kevin Gimpel; David A. McAllester (Rep4NLP@ACL, 2017)

Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing. - Trang Tran 001; Shubham Toshniwal; Mohit Bansal; Kevin Gimpel; Karen Livescu; Mari Ostendorf (CoRR, 2017)

Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. - John Wieting; Kevin Gimpel (CoRR, 2017)

End-to-End Neural Segmental Models for Speech Recognition. - Hao Tang 002; Liang Lu 001; Lingpeng Kong; Kevin Gimpel; Karen Livescu; Chris Dyer; Noah A. Smith; Steve Renals (IEEE J. Sel. Top. Signal Process., 2017)

ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. - John Wieting; Kevin Gimpel (ACL (1), 2018)

Variational Sequential Labelers for Semi-Supervised Learning. - Mingda Chen; Qingming Tang; Karen Livescu; Kevin Gimpel (EMNLP, 2018)

A Study of All-Convolutional Encoders for Connectionist Temporal Classification. - Kalpesh Krishna; Liang Lu 001; Kevin Gimpel; Karen Livescu (ICASSP, 2018)

Learning Approximate Inference Networks for Structured Prediction. - Lifu Tu; Kevin Gimpel (ICLR (Poster), 2018)

Smaller Text Classifiers with Discriminative Cluster Embeddings. - Mingda Chen; Kevin Gimpel (NAACL-HLT (2), 2018)

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. - Mohit Iyyer; John Wieting; Kevin Gimpel; Luke Zettlemoyer (NAACL-HLT, 2018)

Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information. - Trang Tran 001; Shubham Toshniwal; Mohit Bansal; Kevin Gimpel; Karen Livescu; Mari Ostendorf (NAACL-HLT, 2018)

Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise. - Dan Hendrycks; Mantas Mazeika; Duncan Wilson; Kevin Gimpel (NeurIPS, 2018)

Quality Signals in Generated Stories. - Manasvi Sagarkar; John Wieting; Lifu Tu; Kevin Gimpel (*SEM@NAACL-HLT, 2018)

Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora. - Richard Yuanzhe Pang; Kevin Gimpel (CoRR, 2018)

Controllable Paraphrase Generation with a Syntactic Exemplar. - Mingda Chen; Qingming Tang; Sam Wiseman; Kevin Gimpel (ACL (1), 2019)

Visually Grounded Neural Syntax Acquisition. - Haoyue Shi 001; Jiayuan Mao; Kevin Gimpel; Karen Livescu (ACL (1), 2019)

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. - John Wieting; Taylor Berg-Kirkpatrick; Kevin Gimpel; Graham Neubig (ACL (1), 2019)

Simple and Effective Paraphrastic Similarity from Parallel Translations. - John Wieting; Kevin Gimpel; Graham Neubig; Taylor Berg-Kirkpatrick (ACL (1), 2019)

EntEval: A Holistic Evaluation Benchmark for Entity Representations. - Mingda Chen; Zewei Chu; Yang Chen; Karl Stratos; Kevin Gimpel (EMNLP/IJCNLP (1), 2019)

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. - Mingda Chen; Zewei Chu; Kevin Gimpel (EMNLP/IJCNLP (1), 2019)

Latent-Variable Generative Models for Data-Efficient Text Classification. - Xiaoan Ding; Kevin Gimpel (EMNLP/IJCNLP (1), 2019)

Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer. - Richard Yuanzhe Pang; Kevin Gimpel (NGT@EMNLP-IJCNLP, 2019)

Generating Diverse Story Continuations with Controllable Semantics. - Lifu Tu; Xiaoan Ding; Dong Yu; Kevin Gimpel (NGT@EMNLP-IJCNLP, 2019)

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. - Mingda Chen; Qingming Tang; Sam Wiseman; Kevin Gimpel (NAACL-HLT (1), 2019)

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 001; Niranjan Balasubramanian (NAACL-HLT (1), 2019)

Benchmarking Approximate Inference Methods for Neural Structured Prediction. - Lifu Tu; Kevin Gimpel (NAACL-HLT (1), 2019)

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models. - Aynaz Taheri; Kevin Gimpel; Tanya Y. Berger-Wolf (WWW (Companion Volume), 2019)

Sequence-to-sequence modeling for graph representation learning. - Aynaz Taheri; Kevin Gimpel; Tanya Y. Berger-Wolf (Appl. Netw. Sci., 2019)

Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations. - Mingda Chen; Zewei Chu; Kevin Gimpel (CoRR, 2019)

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 (AAAI, 2020)

Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. - Lifu Tu; Richard Yuanzhe Pang; Kevin Gimpel (SPNLP@EMNLP, 2020)

PeTra: A Sparsely Supervised Memory Model for People Tracking. - Shubham Toshniwal; Allyson Ettinger; Kevin Gimpel; Karen Livescu (ACL, 2020)

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. - Lifu Tu; Richard Yuanzhe Pang; Sam Wiseman; Kevin Gimpel (ACL, 2020)

Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners. - Lingyu Gao; Kevin Gimpel; Arnar Thor Jensson (BEA@ACL, 2020)

Mining Knowledge for Natural Language Inference from Wikipedia Categories. - Mingda Chen; Zewei Chu; Karl Stratos; Kevin Gimpel (EMNLP (Findings), 2020)

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. - Xiaoan Ding; Tianyu Liu 001; Baobao Chang; Zhifang Sui; Kevin Gimpel (EMNLP (1), 2020)

On the Role of Supervision in Unsupervised Constituency Parsing. - Haoyue Shi 001; Karen Livescu; Kevin Gimpel (EMNLP (1), 2020)

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. - Shubham Toshniwal; Sam Wiseman; Allyson Ettinger; Karen Livescu; Kevin Gimpel (EMNLP (1), 2020)

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. - Lifu Tu; Tianyu Liu 001; Kevin Gimpel (EMNLP (1), 2020)

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. - Zhenzhong Lan; Mingda Chen; Sebastian Goodman; Kevin Gimpel; Piyush Sharma; Radu Soricut (ICLR, 2020)

Learning Probabilistic Sentence Representations from Paraphrases. - Mingda Chen; Kevin Gimpel (RepL4NLP@ACL, 2020)

A Cross-Task Analysis of Text Span Representations. - Shubham Toshniwal; Haoyue Shi 001; Bowen Shi; Lingyu Gao; Karen Livescu; Kevin Gimpel (RepL4NLP@ACL, 2020)

Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size. - Davis Yoshida; Allyson Ettinger; Kevin Gimpel (CoRR, 2020)

Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets. - Zewei Chu; Karl Stratos; Kevin Gimpel (CoRR, 2020)

Controllable Paraphrasing and Translation with a Syntactic Exemplar. - Mingda Chen; Sam Wiseman; Kevin Gimpel (CoRR, 2020)

Clustering Contextualized Representations of Text for Unsupervised Syntax Induction. - Vikram Gupta; Haoyue Shi 001; Kevin Gimpel; Mrinmaya Sachan (CoRR, 2020)

Generating Wikipedia Article Sections from Diverse Data Sources. - Mingda Chen; Sam Wiseman; Kevin Gimpel (CoRR, 2020)

WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. - Mingda Chen; Sam Wiseman; Kevin Gimpel (ACL/IJCNLP (Findings), 2021)

Unsupervised Label Refinement Improves Dataless Text Classification. - Zewei Chu; Karl Stratos; Kevin Gimpel (ACL/IJCNLP (Findings), 2021)

Substructure Substitution: Structured Data Augmentation for NLP. - Haoyue Shi 001; Karen Livescu; Kevin Gimpel (ACL/IJCNLP (Findings), 2021)

NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources. - Zewei Chu; Karl Stratos; Kevin Gimpel (AKBC, 2021)

Reconsidering the Past: Optimizing Hidden States in Language Models. - Davis Yoshida; Kevin Gimpel (EMNLP (Findings), 2021)

FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models. - Xiaoan Ding; Kevin Gimpel (NAACL-HLT, 2021)

Learning Chess Blindfolded: Evaluating Language Models on State Tracking. - Shubham Toshniwal; Sam Wiseman; Karen Livescu; Kevin Gimpel (CoRR, 2021)

TVRecap: A Dataset for Generating Stories with Character Descriptions. - Mingda Chen; Kevin Gimpel (CoRR, 2021)

On Generalization in Coreference Resolution. - Shubham Toshniwal; Patrick Xia 002; Sam Wiseman; Karen Livescu; Kevin Gimpel (CoRR, 2021)

Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. - Vikram Gupta; Haoyue Shi 001; Kevin Gimpel; Mrinmaya Sachan (AAAI, 2022)

Chess as a Testbed for Language Model State Tracking. - Shubham Toshniwal; Sam Wiseman; Karen Livescu; Kevin Gimpel (AAAI, 2022)

SummScreen: A Dataset for Abstractive Screenplay Summarization. - Mingda Chen; Zewei Chu; Sam Wiseman; Kevin Gimpel (ACL (1), 2022)

Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. - Freda Shi; Kevin Gimpel; Karen Livescu (ACL (1), 2022)

Baked-in State Probing. - Shubham Toshniwal; Sam Wiseman; Karen Livescu; Kevin Gimpel (EMNLP (Findings), 2022)

Paraphrastic Representations at Scale. - John Wieting; Kevin Gimpel; Graham Neubig; Taylor Berg-Kirkpatrick (EMNLP (Demos), 2022)

Moment Distributionally Robust Tree Structured Prediction. - Yeshu Li; Danyal Saeed; Xinhua Zhang; Brian D. Ziebart; Kevin Gimpel (NeurIPS, 2022)

"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation. - Lingyu Gao; Debanjan Ghosh; Kevin Gimpel (*SEM@NAACL-HLT, 2022)

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 001; Karen Livescu; et al. (ASRU, 2023)

The Benefits of Label-Description Training for Zero-Shot Text Classification. - Lingyu Gao; Debanjan Ghosh; Kevin Gimpel (EMNLP, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing. - Freda Shi; Kevin Gimpel; Karen Livescu (ACL (1), 2024)

MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy. - Davis Yoshida; Kartik Goyal; Kevin Gimpel (ACL (1), 2024)

GEE! Grammar Error Explanation with Large Language Models. - Yixiao Song; Kalpesh Krishna; Rajesh Bhatt; Kevin Gimpel; Mohit Iyyer (NAACL-HLT (Findings), 2024)