Kevin Gimpel

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 144

Top Venues

CoRR

ACL (1)

EMNLP

EMNLP (1)

Publications

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
Audio-Visual Neural Syntax Acquisition. CoRR (2023)
Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer
GEE! Grammar Error Explanation with Large Language Models. CoRR (2023)
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
Audio-Visual Neural Syntax Acquisition. ASRU (2023)
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
The Benefits of Label-Description Training for Zero-Shot Text Classification. EMNLP (2023)
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
The Benefits of Label-Description Training for Zero-Shot Text Classification. CoRR (2023)
Davis Yoshida, Kartik Goyal, Kevin Gimpel
MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy. CoRR (2023)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Paraphrastic Representations at Scale. EMNLP (Demos) (2022)
Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. AAAI (2022)
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation. *SEM@NAACL-HLT (2022)
Yeshu Li, Danyal Saeed, Xinhua Zhang, Brian D. Ziebart, Kevin Gimpel
Moment Distributionally Robust Tree Structured Prediction. NeurIPS (2022)
Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
SummScreen: A Dataset for Abstractive Screenplay Summarization. ACL (1) (2022)
Freda Shi, Kevin Gimpel, Karen Livescu
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. ACL (1) (2022)
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation. CoRR (2022)
Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel
Baked-in State Probing. EMNLP (Findings) (2022)
Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel
Chess as a Testbed for Language Model State Tracking. AAAI (2022)
Xiaoan Ding, Kevin Gimpel
FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models. NAACL-HLT (2021)
Zewei Chu, Karl Stratos, Kevin Gimpel
Unsupervised Label Refinement Improves Dataless Text Classification. ACL/IJCNLP (Findings) (2021)
Mingda Chen, Sam Wiseman, Kevin Gimpel
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections. ACL/IJCNLP (Findings) (2021)
Davis Yoshida, Kevin Gimpel
Reconsidering the Past: Optimizing Hidden States in Language Models. EMNLP (Findings) (2021)
Shubham Toshniwal, Sam Wiseman, Karen Livescu, Kevin Gimpel
Learning Chess Blindfolded: Evaluating Language Models on State Tracking. CoRR (2021)
Haoyue Shi, Kevin Gimpel, Karen Livescu
Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. CoRR (2021)
Mingda Chen, Kevin Gimpel
TVRecap: A Dataset for Generating Stories with Character Descriptions. CoRR (2021)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Paraphrastic Representations at Scale. CoRR (2021)
Haoyue Shi, Karen Livescu, Kevin Gimpel
Substructure Substitution: Structured Data Augmentation for NLP. ACL/IJCNLP (Findings) (2021)
Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
SummScreen: A Dataset for Abstractive Screenplay Summarization. CoRR (2021)
Zewei Chu, Karl Stratos, Kevin Gimpel
NATCAT: Weakly Supervised Text Classification with Naturally Annotated Resources. AKBC (2021)
Shubham Toshniwal, Patrick Xia, Sam Wiseman, Karen Livescu, Kevin Gimpel
On Generalization in Coreference Resolution. CoRR (2021)
Haoyue Shi, Karen Livescu, Kevin Gimpel
Substructure Substitution: Structured Data Augmentation for NLP. CoRR (2021)
Davis Yoshida, Kevin Gimpel
Reconsidering the Past: Optimizing Hidden States in Language Models. CoRR (2021)
Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. CoRR (2020)
Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan
Clustering Contextualized Representations of Text for Unsupervised Syntax Induction. CoRR (2020)
Mingda Chen, Sam Wiseman, Kevin Gimpel
Generating Wikipedia Article Sections from Diverse Data Sources. CoRR (2020)
Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. SPNLP@EMNLP (2020)
Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu
PeTra: A Sparsely Supervised Memory Model for People Tracking. CoRR (2020)
Lifu Tu, Tianyu Liu, Kevin Gimpel
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. CoRR (2020)
Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel, Karen Livescu
PeTra: A Sparsely Supervised Memory Model for People Tracking. ACL (2020)
Davis Yoshida, Allyson Ettinger, Kevin Gimpel
Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size. CoRR (2020)
Haoyue Shi, Karen Livescu, Kevin Gimpel
On the Role of Supervision in Unsupervised Constituency Parsing. EMNLP (1) (2020)
Zewei Chu, Karl Stratos, Kevin Gimpel
Unsupervised Label Refinement Improves Dataless Text Classification. CoRR (2020)
Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. CoRR (2020)
Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, Karen Livescu, Kevin Gimpel
Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks. EMNLP (1) (2020)
Shubham Toshniwal, Haoyue Shi, Bowen Shi, Lingyu Gao, Karen Livescu, Kevin Gimpel
A Cross-Task Analysis of Text Span Representations. RepL4NLP@ACL (2020)
Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation. ACL (2020)
Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR (2020)
Haoyue Shi, Karen Livescu, Kevin Gimpel
On the Role of Supervision in Unsupervised Constituency Parsing. CoRR (2020)
Mingda Chen, Kevin Gimpel
Learning Probabilistic Sentence Representations from Paraphrases. RepL4NLP@ACL (2020)
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. ICLR (2020)
Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. AAAI (2020)
Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel
Mining Knowledge for Natural Language Inference from Wikipedia Categories. EMNLP (Findings) (2020)
Zewei Chu, Karl Stratos, Kevin Gimpel
Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets. CoRR (2020)
Mingda Chen, Zewei Chu, Karl Stratos, Kevin Gimpel
Mining Knowledge for Natural Language Inference from Wikipedia Categories. CoRR (2020)
Mingda Chen, Kevin Gimpel
Learning Probabilistic Sentence Representations from Paraphrases. CoRR (2020)
Lingyu Gao, Kevin Gimpel, Arnar Thor Jensson
Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners. BEA@ACL (2020)
Lifu Tu, Tianyu Liu, Kevin Gimpel
An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks. EMNLP (1) (2020)
Mingda Chen, Sam Wiseman, Kevin Gimpel
Controllable Paraphrasing and Translation with a Syntactic Exemplar. CoRR (2020)
Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) (2020)
Shubham Toshniwal, Haoyue Shi, Bowen Shi, Lingyu Gao, Karen Livescu, Kevin Gimpel
A Cross-Task Analysis of Text Span Representations. CoRR (2020)
Lifu Tu, Richard Yuanzhe Pang, Kevin Gimpel
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks. CoRR (2019)
Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel
Generating Diverse Story Continuations with Controllable Semantics. CoRR (2019)
Mingda Chen, Zewei Chu, Kevin Gimpel
Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations. CoRR (2019)
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
PoMo: Generating Entity-Specific Post-Modifiers in Context. CoRR (2019)
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
Controllable Paraphrase Generation with a Syntactic Exemplar. CoRR (2019)
Richard Yuanzhe Pang, Kevin Gimpel
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer. NGT@EMNLP-IJCNLP (2019)
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu
Visually Grounded Neural Syntax Acquisition. CoRR (2019)
Lifu Tu, Kevin Gimpel
Benchmarking Approximate Inference Methods for Neural Structured Prediction. NAACL-HLT (1) (2019)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR (2019)
Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel
Variational Sequential Labelers for Semi-Supervised Learning. CoRR (2019)
Xiaoan Ding, Kevin Gimpel
Latent-Variable Generative Models for Data-Efficient Text Classification. EMNLP/IJCNLP (1) (2019)
Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf
Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models. WWW (Companion Volume) (2019)
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. NAACL-HLT (1) (2019)
Lifu Tu, Xiaoan Ding, Dong Yu, Kevin Gimpel
Generating Diverse Story Continuations with Controllable Semantics. NGT@EMNLP-IJCNLP (2019)
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
Controllable Paraphrase Generation with a Syntactic Exemplar. ACL (1) (2019)
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) (2019)
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. CoRR (2019)
Lifu Tu, Kevin Gimpel
Benchmarking Approximate Inference Methods for Neural Structured Prediction. CoRR (2019)
Jun Seok Kang, Robert L. Logan IV, Zewei Chu, Yang Chen, Dheeru Dua, Kevin Gimpel, Sameer Singh, Niranjan Balasubramanian
PoMo: Generating Entity-Specific Post-Modifiers in Context. NAACL-HLT (1) (2019)
Mingda Chen, Kevin Gimpel
Smaller Text Classifiers with Discriminative Cluster Embeddings. CoRR (2019)
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations. CoRR (2019)
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) (2019)
Xiaoan Ding, Kevin Gimpel
Latent-Variable Generative Models for Data-Efficient Text Classification. CoRR (2019)
Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel
EntEval: A Holistic Evaluation Benchmark for Entity Representations. CoRR (2019)
Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu
Visually Grounded Neural Syntax Acquisition. ACL (1) (2019)
Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions. CoRR (2019)
Aynaz Taheri, Kevin Gimpel, Tanya Y. Berger-Wolf
Sequence-to-sequence modeling for graph representation learning. Appl. Netw. Sci. 4 (1) (2019)
Mingda Chen, Zewei Chu, Yang Chen, Karl Stratos, Kevin Gimpel
EntEval: A Holistic Evaluation Benchmark for Entity Representations. EMNLP/IJCNLP (1) (2019)
Mingda Chen, Zewei Chu, Kevin Gimpel
Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations. EMNLP/IJCNLP (1) (2019)
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR (2019)
Yuanzhe Pang, Kevin Gimpel
Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora. CoRR (2018)
Mingda Chen, Kevin Gimpel
Smaller Text Classifiers with Discriminative Cluster Embeddings. NAACL-HLT (2) (2018)
Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. CoRR (2018)
Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise. NeurIPS (2018)
Mohit Iyyer, John Wieting, Kevin Gimpel, Luke Zettlemoyer
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks. NAACL-HLT (2018)
Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise. CoRR (2018)
Lifu Tu, Kevin Gimpel
Learning Approximate Inference Networks for Structured Prediction. CoRR (2018)
Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. ICASSP (2018)
Manasvi Sagarkar, John Wieting, Lifu Tu, Kevin Gimpel
Quality Signals in Generated Stories. *SEM@NAACL-HLT (2018)
Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf
Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information. NAACL-HLT (2018)
Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel
Variational Sequential Labelers for Semi-Supervised Learning. EMNLP (2018)
John Wieting, Kevin Gimpel
ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations. ACL (1) (2018)
Lifu Tu, Kevin Gimpel
Learning Approximate Inference Networks for Structured Prediction. ICLR (Poster) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kevin Gimpel