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
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Aleem KhanJohns Hopkins UniversityVerified email at jhu.edu
David MuellerPhD Student, Johns Hopkins UniversityVerified email at jhu.edu
Jason EisnerProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Jay DeYoungNortheastern UniversityVerified email at northeastern.edu
Benjamin Van DurmeJohns Hopkins University / MicrosoftVerified email at jhu.edu
Rafael Rivera-SotoLawrence Livermore National Laboratory, Johns Hopkins UniversityVerified email at jhu.edu
Matthew R. GormleyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Zach Wood-DoughtyNorthwestern UniversityVerified email at northwestern.edu
Travis WolfeGoogleVerified email at google.com
Chris Callison-BurchProfessor, University of PennsylvaniaVerified email at upenn.edu
Rebecca MarvinUniversity of Chicago Law SchoolVerified email at uchicago.edu
Olivia MianoLawrence Livermore National LaboratoryVerified email at llnl.gov
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) PengAssociate Professor, UCLAVerified email at cs.ucla.edu
Mo YuWeChat AI, TencentVerified email at tencent.com
Ajay PatelUniversity of PennsylvaniaVerified email at seas.upenn.edu

Nicholas Andrews

Other namesNicholas O Andrews, Nicholas Oliver 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	359	2020
Recent developments in document clustering NO Andrews, EA Fox	232	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	56	2018
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	47	2021
Learning invariant representations of social media users N Andrews, M Bishop arXiv preprint arXiv:1910.04979, 2019	37	2019
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	31	2012
Sources of transfer in multilingual named entity recognition D Mueller, N Andrews, M Dredze arXiv preprint arXiv:2005.00847, 2020	27	2020
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	23	2012
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
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
Ensemble distillation for structured prediction: Calibrated, accurate, fast-choose three S Reich, D Mueller, N Andrews arXiv preprint arXiv:2010.06721, 2020	16	2020
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
A deep metric learning approach to account linking A Khan, E Fleming, N Schofield, M Bishop, N Andrews arXiv preprint arXiv:2105.07263, 2021	15	2021
Clustering for data reduction: a divide and conquer approach NO Andrews, EA Fox Department of Computer Science, Virginia Polytechnic Institute & State …, 2007	15	2007
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	11	2018
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
Can Authorship Representation Learning Capture Stylistic Features? A Wang, C Aggazzotti, R Kotula, RR Soto, M Bishop, N Andrews Transactions of the Association for Computational Linguistics 11, 1416-1431, 2023	9	2023
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 CoRR, 2022	7	2022
Recent Development in Document Clustering Techniques NO Andrews, EA Fox Dept of Computer Science, Virgina Tech, 2007	7	2007

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