Kevin Gimpel

According to our database1, Kevin Gimpel authored at least 92 papers between 2008 and 2020.

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Bibliography

2020
Controllable Paraphrasing and Translation with a Syntactic Exemplar.
CoRR, 2020

Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference.
CoRR, 2020

Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networks.
CoRR, 2020

An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks.
CoRR, 2020

On the Role of Supervision in Unsupervised Constituency Parsing.
CoRR, 2020

Mining Knowledge for Natural Language Inference from Wikipedia Categories.
CoRR, 2020

Natcat: Weakly Supervised Text Classification with Naturally Annotated Datasets.
CoRR, 2020

Adding Recurrence to Pretrained Transformers for Improved Efficiency and Context Size.
CoRR, 2020

A Cross-Task Analysis of Text Span Representations.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Learning Probabilistic Sentence Representations from Paraphrases.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners.
Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2020

ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

PeTra: A Sparsely Supervised Memory Model for People Tracking.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks.
CoRR, 2019

Evaluation Benchmarks and Learning Criteriafor Discourse-Aware Sentence Representations.
CoRR, 2019

Sequence-to-sequence modeling for graph representation learning.
Appl. Netw. Sci., 2019

Learning to Represent the Evolution of Dynamic Graphs with Recurrent Models.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Benchmarking Approximate Inference Methods for Neural Structured Prediction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

PoMo: Generating Entity-Specific Post-Modifiers in Context.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence Representations.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Generating Diverse Story Continuations with Controllable Semantics.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer.
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Latent-Variable Generative Models for Data-Efficient Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

EntEval: A Holistic Evaluation Benchmark for Entity Representations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Simple and Effective Paraphrastic Similarity from Parallel Translations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Visually Grounded Neural Syntax Acquisition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Controllable Paraphrase Generation with a Syntactic Exemplar.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Learning Criteria and Evaluation Metrics for Textual Transfer between Non-Parallel Corpora.
CoRR, 2018

Quality Signals in Generated Stories.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Smaller Text Classifiers with Discriminative Cluster Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning Approximate Inference Networks for Structured Prediction.
Proceedings of the 6th International Conference on Learning Representations, 2018

A Study of All-Convolutional Encoders for Connectionist Temporal Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Variational Sequential Labelers for Semi-Supervised Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
End-to-End Neural Segmental Models for Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017

Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.
CoRR, 2017

Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing.
CoRR, 2017

Emergent Predication Structure in Hidden State Vectors of Neural Readers.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Learning to Embed Words in Context for Syntactic Tasks.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Early Methods for Detecting Adversarial Images.
Proceedings of the 5th International Conference on Learning Representations, 2017

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Broad Context Language Modeling as Reading Comprehension.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Pay Attention to the Ending: Strong Neural Baselines for the ROC Story Cloze Task.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Towards Universal Paraphrastic Sentence Embeddings.
Proceedings of the 4th International Conference on Learning Representations, 2016

Emergent Logical Structure in Vector Representations of Neural Readers.
CoRR, 2016

Visible Progress on Adversarial Images and a New Saliency Map.
CoRR, 2016

Generalizing and Improving Weight Initialization.
CoRR, 2016

Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units.
CoRR, 2016

End-to-end training approaches for discriminative segmental models.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Mapping Unseen Words to Task-Trained Embedding Spaces.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Constraints Based Convex Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Efficient Segmental Cascades for Speech Recognition.
Proceedings of the Interspeech 2016, 2016

Charagram: Embedding Words and Sentences via Character n-grams.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Who did What: A Large-Scale Person-Centered Cloze Dataset.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Commonsense Knowledge Base Completion.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
From Paraphrase Database to Compositional Paraphrase Model and Back.
Trans. Assoc. Comput. Linguistics, 2015

A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment.
Trans. Assoc. Comput. Linguistics, 2015

Deep Multilingual Correlation for Improved Word Embeddings.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Discriminative segmental cascades for feature-rich phone recognition.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Machine Comprehension with Syntax, Frames, and Semantics.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features.
Comput. Linguistics, 2014

A comparison of training approaches for discriminative segmental models.
Proceedings of the INTERSPEECH 2014, 2014

Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Tailoring Continuous Word Representations for Dependency Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Predicting the NFL using Twitter.
Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2013 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2013), 2013

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

A Systematic Exploration of Diversity in Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Concavity and Initialization for Unsupervised Dependency Parsing.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Structured Ramp Loss Minimization for Machine Translation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Word Salad: Relating Food Prices and Descriptions.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Generative Models of Monolingual and Bilingual Gappy Patterns.
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

The CMU-ARK German-English Translation System.
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

Quasi-Synchronous Phrase Dependency Grammars for Machine Translation.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Movie Reviews and Revenues: An Experiment in Text Regression.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Softmax-Margin CRFs: Training Log-Linear Models with Cost Functions.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Distributed Asynchronous Online Learning for Natural Language Processing.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

2009
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Cube Summing, Approximate Inference with Non-Local Features, and Dynamic Programming without Semirings.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

2008
Rich Source-Side Context for Statistical Machine Translation.
Proceedings of the Third Workshop on Statistical Machine Translation, 2008

Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008


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