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Nicholas Andrews
Nicholas Andrews
Verifierad e-postadress på jhu.edu - Startsida
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Compressing bert: Studying the effects of weight pruning on transfer learning
MA Gordon, K Duh, N Andrews
arXiv preprint arXiv:2002.08307, 2020
2902020
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
472018
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
282012
Learning invariant representations of social media users
N Andrews, M Bishop
arXiv preprint arXiv:1910.04979, 2019
272019
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
Sources of transfer in multilingual named entity recognition
D Mueller, N Andrews, M Dredze
arXiv preprint arXiv:2005.00847, 2020
212020
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
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
202013
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
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
152021
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
92020
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
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
92015
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
72017
Recent Development in Document Clustering Techniques
NO Andrews, EA Fox
Dept of Computer Science, Virgina Tech, 2007
72007
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
A deep metric learning approach to account linking
A Khan, E Fleming, N Schofield, M Bishop, N Andrews
arXiv preprint arXiv:2105.07263, 2021
52021
Seeded discovery of base relations in large corpora
N Andrews, N Ramakrishnan
Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008
52008
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Artiklar 1–20