Kevin Gimpel - Google Académico

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	Total	Desde 2015
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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 BansalJohn R. & Louise S. Parker Associate Professor, CS, UNC Chapel HillDirección de correo verificada de cs.unc.edu
John WietingDirección de correo verificada de ttic.edu
Chris DyerDeepMind, Carnegie MellonDirección de correo verificada de google.com
Dan HendrycksPhD Student, UC BerkeleyDirección de correo verificada de berkeley.edu
Mingda ChenToyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Brendan O'ConnorUniversity of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Dipanjan DasSenior Staff Research Scientist, Google AIDirección 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
Tobi OwoputiGoogleDirección de correo verificada de google.com
Hai WangPh.D, Toyota Technological Institute at ChicagoDirección de correo verificada de ttic.edu
Jacob EisensteinGoogle ResearchDirección de correo verificada de google.com
Weiran WangSalesforce ResearchDirección de correo verificada de ttic.edu
Jimmy LinUniversity of WaterlooDirección de correo verificada de uwaterloo.ca
Hua HeUniversity of Maryland College ParkDirección de correo verificada de cs.umd.edu

Kevin Gimpel

Assistant Professor, 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	1119	2011
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	780	2013
A baseline for detecting misclassified and out-of-distribution examples in neural networks D Hendrycks, K Gimpel ICLR, 2017	456	2017
Towards universal paraphrastic sentence embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR, 2016	422	2016
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	407	2019
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	312	2014
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	309	2015
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	240	2010
Gaussian error linear units (gelus) D Hendrycks, K Gimpel arXiv preprint arXiv:1606.08415, 2016	231*	2016
From paraphrase database to compositional paraphrase model and back J Wieting, M Bansal, K Gimpel, K Livescu, D Roth TACL, 2015	219	2015
Adversarial example generation with syntactically controlled paraphrase networks M Iyyer, J Wieting, K Gimpel, L Zettlemoyer NAACL, 2018	161	2018
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	161*	2010
Charagram: Embedding words and sentences via character n-grams J Wieting, M Bansal, K Gimpel, K Livescu EMNLP, 2016	153	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	129	2015
Early methods for detecting adversarial images D Hendrycks, K Gimpel arXiv preprint arXiv:1608.00530, 2016	123	2016
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise D Hendrycks, M Mazeika, D Wilson, K Gimpel NeurIPS, 2018	120	2018
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	97	2018
Who did what: A large-scale person-centered cloze dataset T Onishi, H Wang, M Bansal, K Gimpel, D McAllester EMNLP, 2016	97	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	94	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	82	2015

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