Nicholas Andrews

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Mark DredzeJohns Hopkins UniversityVerified email at cs.jhu.edu
Edward FoxProfessor of Computer Science, Virginia Tech, VPI&SUVerified email at vt.edu
Aleem KhanJohns Hopkins UniversityVerified email at jhu.edu
Jason EisnerProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Jay DeYoungNortheastern UniversityVerified email at northeastern.edu
Benjamin Van DurmeJohns Hopkins University / MicrosoftVerified email at jhu.edu
David MuellerPhD Student, Johns Hopkins UniversityVerified email at jhu.edu
Matthew R. GormleyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Rafael Rivera-SotoLawrence Livermore National Laboratory, Johns Hopkins UniversityVerified email at jhu.edu
Travis WolfeGoogleVerified email at google.com
Zach Wood-DoughtyNorthwestern UniversityVerified email at northwestern.edu
Chris Callison-BurchAssociate Professor, University of PennsylvaniaVerified email at upenn.edu
Rebecca MarvinUniversity of Chicago Law SchoolVerified email at uchicago.edu
Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Francis FerraroUniversity of Maryland, Baltimore CountyVerified email at umbc.edu
Nanyun (Violet) PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Mo YuWeChat AI, TencentVerified email at tencent.com
Ajay PatelUniversity of PennsylvaniaVerified email at seas.upenn.edu
Xuchen YaoSeasalt.aiVerified email at seasalt.ai

Nicholas Andrews

Johns Hopkins University

Verified email at jhu.edu - Homepage

natural language processing machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Compressing bert: Studying the effects of weight pruning on transfer learning MA Gordon, K Duh, N Andrews arXiv preprint arXiv:2002.08307, 2020	334	2020
Recent developments in document clustering NO Andrews, EA Fox Computer Science Technical Reports, 2007	233	2007
Predicting Twitter user demographics from names alone Z Wood-Doughty, N Andrews, R Marvin, M Dredze Proceedings of the Second Workshop on Computational Modeling of People’s …, 2018	52	2018
Learning invariant representations of social media users N Andrews, M Bishop arXiv preprint arXiv:1910.04979, 2019	33	2019
Learning universal authorship representations RA Rivera-Soto, OE Miano, J Ordonez, BY Chen, A Khan, M Bishop, ... Proceedings of the 2021 conference on empirical methods in natural language …, 2021	29	2021
Entity clustering across languages S Green, N Andrews, MR Gormley, M Dredze, CD Manning Proceedings of the 2012 Conference of the North American Chapter of the …, 2012	29	2012
Sources of transfer in multilingual named entity recognition D Mueller, N Andrews, M Dredze arXiv preprint arXiv:2005.00847, 2020	24	2020
Parma: A predicate argument aligner T Wolfe, B Van Durme, M Dredze, N Andrews, C Beller, C Callison-Burch, ... Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	22	2013
Name phylogeny: A generative model of string variation N Andrews, J Eisner, M Dredze Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012	22	2012
Robust entity clustering via phylogenetic inference N Andrews, J Eisner, M Dredze Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	20	2014
Twitter at the grammys: A social media corpus for entity linking and disambiguation M Dredze, N Andrews, J DeYoung Proceedings of the fourth international workshop on natural language …, 2016	16	2016
Clustering for data reduction: a divide and conquer approach NO Andrews, EA Fox Computer Science Technical Reports, 2007	15	2007
A deep metric learning approach to account linking A Khan, E Fleming, N Schofield, M Bishop, N Andrews arXiv preprint arXiv:2105.07263, 2021	12	2021
Ensemble distillation for structured prediction: Calibrated, accurate, fast-choose three S Reich, D Mueller, N Andrews arXiv preprint arXiv:2010.06721, 2020	12	2020
A concrete Chinese NLP pipeline N Peng, F Ferraro, M Yu, N Andrews, J DeYoung, M Thomas, ... Proceedings of the 2015 Conference of the North American Chapter of the …, 2015	10	2015
Convolutions are all you need (for classifying character sequences) Z Wood-Doughty, N Andrews, M Dredze Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User …, 2018	9	2018
Bayesian modeling of lexical resources for low-resource settings N Andrews, M Dredze, B Van Durme, J Eisner Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017	8	2017
Low-resource authorship style transfer with in-context learning A Patel, N Andrews, C Callison-Burch arXiv preprint arXiv:2212.08986, 2022	7	2022
Recent Development in Document Clustering Techniques NO Andrews, EA Fox Dept of Computer Science, Virgina Tech, 2007	7	2007
Cross-lingual coreference resolution: A new task for multilingual comparable corpora S Green, N Andrews, MR Gormley, M Dredze, CD Manning Technical Report 6, HLTCOE, Johns Hopkins University, 2011	6	2011

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