Kevin Gimpel

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	Total	Desde 2016
Citas	8463	6946
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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceDirección de correo verificada de cs.washington.edu
Karen LivescuTTI-ChicagoDirección de correo verificada de ttic.edu
Mohit BansalProfessor, Computer Science, UNC Chapel HillDirección de correo verificada de cs.unc.edu
John WietingDirección de correo verificada de ttic.edu
Mingda ChenToyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Dan HendrycksPhD Student, UC BerkeleyDirección de correo verificada de berkeley.edu
Chris DyerDeepMind, Carnegie MellonDirección de correo verificada de google.com
Brendan O'ConnorUniversity of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Dipanjan DasSenior Staff Research Scientist, Google ResearchDirección de correo verificada de google.com
Nathan SchneiderAssistant Professor, Linguistics and Computer Science • Georgetown UniversityDirección de correo verificada de georgetown.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Jeffrey FlaniganAssistant Professor, University of California Santa CruzDirección de correo verificada de ucsc.edu
Michael HeilmanCivis AnalyticsDirección de correo verificada de cs.cmu.edu
Dani YogatamaDeepMindDirección de correo verificada de google.com
Hai WangPh.D, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Tobi OwoputiGoogleDirección de correo verificada de google.com
Jacob EisensteinGoogle ResearchDirección de correo verificada de google.com
Weiran WangGoogleDirección de correo verificada de ttic.edu
Radu SoricutGoogleDirección de correo verificada de google.com
Piyush SharmaGoogle ResearchDirección de correo verificada de google.com

Kevin Gimpel

Toyota Technological Institute at Chicago

Dirección de correo verificada de ttic.edu - Página principal

Natural Language Processing Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Part-of-speech tagging for Twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... ACL, 2011	1171	2011
Albert: A lite bert for self-supervised learning of language representations Z Lan, M Chen, S Goodman, K Gimpel, P Sharma, R Soricut arXiv preprint arXiv:1909.11942, 2019	999	2019
Improved part-of-speech tagging for online conversational text with word clusters O Owoputi, B O’Connor, C Dyer, K Gimpel, N Schneider, NA Smith Proceedings of the 2013 conference of the North American chapter of the …, 2013	811	2013
A baseline for detecting misclassified and out-of-distribution examples in neural networks D Hendrycks, K Gimpel ICLR, 2017	638	2017
Towards universal paraphrastic sentence embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR, 2016	467	2016
Gaussian error linear units (gelus) D Hendrycks, K Gimpel arXiv preprint arXiv:1606.08415, 2016	380*	2016
Multi-perspective sentence similarity modeling with convolutional neural networks H He, K Gimpel, J Lin Proceedings of the 2015 conference on empirical methods in natural language …, 2015	345	2015
Tailoring continuous word representations for dependency parsing M Bansal, K Gimpel, K Livescu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	328	2014
Movie reviews and revenues: An experiment in text regression M Joshi, D Das, K Gimpel, NA Smith Human Language Technologies: The 2010 Annual Conference of the North …, 2010	254	2010
From paraphrase database to compositional paraphrase model and back J Wieting, M Bansal, K Gimpel, K Livescu, D Roth TACL, 2015	241	2015
Adversarial example generation with syntactically controlled paraphrase networks M Iyyer, J Wieting, K Gimpel, L Zettlemoyer NAACL, 2018	225	2018
Charagram: Embedding words and sentences via character n-grams J Wieting, M Bansal, K Gimpel, K Livescu EMNLP, 2016	169	2016
Softmax-margin CRFs: Training log-linear models with cost functions K Gimpel, NA Smith Human Language Technologies: The 2010 Annual Conference of the North …, 2010	169*	2010
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise D Hendrycks, M Mazeika, D Wilson, K Gimpel NeurIPS, 2018	151	2018
Early methods for detecting adversarial images D Hendrycks, K Gimpel arXiv preprint arXiv:1608.00530, 2016	138	2016
Deep multilingual correlation for improved word embeddings A Lu, W Wang, M Bansal, K Gimpel, K Livescu Proceedings of the 2015 Conference of the North American Chapter of the …, 2015	132	2015
ParaNMT-50M: Pushing the limits of paraphrastic sentence embeddings with millions of machine translations J Wieting, K Gimpel Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	128	2018
Who did what: A large-scale person-centered cloze dataset T Onishi, H Wang, M Bansal, K Gimpel, D McAllester EMNLP, 2016	108	2016
Part-of-speech tagging for Twitter: Word clusters and other advances O Owoputi, B O’Connor, C Dyer, K Gimpel, N Schneider School of Computer Science, Carnegie Mellon University, Tech. Rep, 2012	97	2012
Machine comprehension with syntax, frames, and semantics H Wang, M Bansal, K Gimpel, D McAllester 53rd Annual Meeting of the Association for Computational Linguistics, 2015	88	2015

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