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Nicholas Andrews
Nicholas Andrews
Dirección de correo verificada de jhu.edu - Página principal
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Citado por
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Año
Compressing bert: Studying the effects of weight pruning on transfer learning
MA Gordon, K Duh, N Andrews
arXiv preprint arXiv:2002.08307, 2020
3232020
Recent developments in document clustering
NO Andrews, EA Fox
Computer Science Technical Reports, 2007
2322007
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
512018
Learning invariant representations of social media users
N Andrews, M Bishop
arXiv preprint arXiv:1910.04979, 2019
312019
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
292012
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
242021
Sources of transfer in multilingual named entity recognition
D Mueller, N Andrews, M Dredze
arXiv preprint arXiv:2005.00847, 2020
232020
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
222013
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
222012
Robust entity clustering via phylogenetic inference
N Andrews, J Eisner, M Dredze
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
202014
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
162016
Clustering for data reduction: a divide and conquer approach
NO Andrews, EA Fox
Computer Science Technical Reports, 2007
152007
Ensemble distillation for structured prediction: Calibrated, accurate, fast-choose three
S Reich, D Mueller, N Andrews
arXiv preprint arXiv:2010.06721, 2020
122020
A deep metric learning approach to account linking
A Khan, E Fleming, N Schofield, M Bishop, N Andrews
arXiv preprint arXiv:2105.07263, 2021
112021
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
102015
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
92018
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
82017
Recent Development in Document Clustering Techniques
NO Andrews, EA Fox
Dept of Computer Science, Virgina Tech, 2007
72007
Low-resource authorship style transfer with in-context learning
A Patel, N Andrews, C Callison-Burch
arXiv preprint arXiv:2212.08986, 2022
62022
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
62011
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Artículos 1–20