Kevin Gimpel

Most-cited papers

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel +2 more
2019International Conference on Learning Representations7,822 citations
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Gaussian Error Linear Units (GELUs)
Dan Hendrycks, Kevin Gimpel
20167,575 citations
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A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks, Kevin Gimpel
2016International Conference on Learning Representations4,848 citations
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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb +446 more
2022arXiv.org2,702 citations
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Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units
Dan Hendrycks, Kevin Gimpel
2016arXiv.org845 citations
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Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
M. Iyyer, J. Wieting, Kevin Gimpel, Luke Zettlemoyer
2018North American Chapter of the Association for Computational Linguistics800 citations Open access
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Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise
Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel
2018Neural Information Processing Systems630 citations
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Towards Universal Paraphrastic Sentence Embeddings
J. Wieting, Mohit Bansal, Kevin Gimpel, K. Livescu
2015International Conference on Learning Representations576 citations
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Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
Hua He, Kevin Gimpel, Jimmy Lin
2015Conference on Empirical Methods in Natural Language Processing383 citations Open access
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Early Methods for Detecting Adversarial Images
Dan Hendrycks, Kevin Gimpel
2016International Conference on Learning Representations253 citations
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Charagram: Embedding Words and Sentences via Character n-grams
J. Wieting, Mohit Bansal, Kevin Gimpel, K. Livescu
2016Conference on Empirical Methods in Natural Language Processing197 citations Open access
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Beyond BLEU:Training Neural Machine Translation with Semantic Similarity
J. Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig
2019Annual Meeting of the Association for Computational Linguistics190 citations Open access
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Commonsense Knowledge Base Completion
Xiang Lorraine Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel
2016Annual Meeting of the Association for Computational Linguistics180 citations Open access
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Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
J. Wieting, Kevin Gimpel
2017arXiv.org143 citations
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Who did What: A Large-Scale Person-Centered Cloze Dataset
Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel +1 more
2016Conference on Empirical Methods in Natural Language Processing142 citations Open access
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Deep Multilingual Correlation for Improved Word Embeddings
Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel +1 more
2015North American Chapter of the Association for Computational Linguistics137 citations Open access
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Controllable Paraphrase Generation with a Syntactic Exemplar
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
2019Annual Meeting of the Association for Computational Linguistics117 citations Open access
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Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
J. Wieting, Jonathan Mallinson, Kevin Gimpel
2017Conference on Empirical Methods in Natural Language Processing112 citations Open access
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SummScreen: A Dataset for Abstractive Screenplay Summarization
Mingda Chen, Zewei Chu, Sam Wiseman, Kevin Gimpel
2021Annual Meeting of the Association for Computational Linguistics107 citations Open access
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Chess as a Testbed for Language Model State Tracking
Shubham Toshniwal, Sam Wiseman, K. Livescu, Kevin Gimpel
2021AAAI Conference on Artificial Intelligence100 citations Open access
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Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models
Aynaz Taheri, Kevin Gimpel, T. Berger-Wolf
2019The Web Conference95 citations Open access
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A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations
Mingda Chen, Qingming Tang, Sam Wiseman, Kevin Gimpel
2019North American Chapter of the Association for Computational Linguistics90 citations Open access
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Visually Grounded Neural Syntax Acquisition
Freda Shi, Jia-Yuan Mao, Kevin Gimpel, K. Livescu
2019Annual Meeting of the Association for Computational Linguistics87 citations Open access
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Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
J. Wieting, Kevin Gimpel
2017Annual Meeting of the Association for Computational Linguistics78 citations Open access
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Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task
Zheng Jon Cai, Lifu Tu, Kevin Gimpel
2017Annual Meeting of the Association for Computational Linguistics69 citations Open access
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Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks
Shubham Toshniwal, Sam Wiseman, Allyson Ettinger, K. Livescu +1 more
2020Conference on Empirical Methods in Natural Language Processing60 citations Open access
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ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman, Kevin Gimpel
2020Annual Meeting of the Association for Computational Linguistics60 citations Open access
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Substructure Substitution: Structured Data Augmentation for NLP
Freda Shi, K. Livescu, Kevin Gimpel
2021Findings54 citations Open access
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Learning Approximate Inference Networks for Structured Prediction
Lifu Tu, Kevin Gimpel
2018International Conference on Learning Representations54 citations
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Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information
Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel +2 more
2017North American Chapter of the Association for Computational Linguistics54 citations Open access
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Simple and Effective Paraphrastic Similarity from Parallel Translations
J. Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2019Annual Meeting of the Association for Computational Linguistics53 citations Open access
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Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations
Mingda Chen, Zewei Chu, Kevin Gimpel
2019Conference on Empirical Methods in Natural Language Processing50 citations Open access
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On Generalization in Coreference Resolution
Shubham Toshniwal, Patrick Xia, Sam Wiseman, K. Livescu +1 more
2021CRAC44 citations Open access
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Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen, Qingming Tang, K. Livescu, Kevin Gimpel
2019Conference on Empirical Methods in Natural Language Processing39 citations Open access
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A Cross-Task Analysis of Text Span Representations
Shubham Toshniwal, Freda Shi, Bowen Shi, Lingyu Gao +2 more
2020Workshop on Representation Learning for NLP38 citations Open access
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WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections
Mingda Chen, Sam Wiseman, Kevin Gimpel
2020Findings38 citations Open access
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Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer
Richard Yuanzhe Pang, Kevin Gimpel
2018Conference on Empirical Methods in Natural Language Processing34 citations Open access
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Paraphrastic Representations at Scale
J. Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick
2021Conference on Empirical Methods in Natural Language Processing31 citations Open access
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UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement
Hua He, J. Wieting, Kevin Gimpel, J. Rao +1 more
2016International Workshop on Semantic Evaluation31 citations Open access
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End-to-End Neural Segmental Models for Speech Recognition
Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel +4 more
2017IEEE Journal on Selected Topics in Signal Processing26 citations Open access
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Broad Context Language Modeling as Reading Comprehension
Zewei Chu, Hai Wang, Kevin Gimpel, David A. McAllester
2016Conference of the European Chapter of the Association for Computational Linguistics25 citations Open access
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On the Role of Supervision in Unsupervised Constituency Parsing
Freda Shi, K. Livescu, Kevin Gimpel
2020Conference on Empirical Methods in Natural Language Processing23 citations Open access
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How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
Zewei Chu, Mingda Chen, Jiehua Chen, Miaosen Wang +3 more
2019AAAI Conference on Artificial Intelligence22 citations Open access
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Discriminative segmental cascades for feature-rich phone recognition
Hao Tang, Weiran Wang, Kevin Gimpel, K. Livescu
2015Automatic Speech Recognition & Understanding21 citations Open access
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Visible Progress on Adversarial Images and a New Saliency Map
Dan Hendrycks, Kevin Gimpel
2016arXiv.org20 citations
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Unsupervised Label Refinement Improves Dataless Text Classification
Zewei Chu, K. Stratos, Kevin Gimpel
2020Findings19 citations Open access
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Benchmarking Approximate Inference Methods for Neural Structured Prediction
Lifu Tu, Kevin Gimpel
2019North American Chapter of the Association for Computational Linguistics18 citations Open access
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Adjusting for Dropout Variance in Batch Normalization and Weight Initialization
Dan Hendrycks, Kevin Gimpel
201618 citations
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Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu, Kevin Gimpel, K. Livescu
2017Rep4NLP@ACL17 citations Open access
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Quality Signals in Generated Stories
Manasvi Sagarkar, J. Wieting, Lifu Tu, Kevin Gimpel
2018International Workshop on Semantic Evaluation16 citations Open access
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