| Compressing bert: Studying the effects of weight pruning on transfer learning MA Gordon, K Duh, N Andrews arXiv preprint arXiv:2002.08307, 2020 | 329 | 2020 |
| Recent developments in document clustering NO Andrews, EA Fox Computer Science Technical Reports, 2007 | 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 | 51 | 2018 |
| Learning invariant representations of social media users N Andrews, M Bishop arXiv preprint arXiv:1910.04979, 2019 | 31 | 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 | 29 | 2012 |
| 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 | 24 | 2021 |
| Sources of transfer in multilingual named entity recognition D Mueller, N Andrews, M Dredze arXiv preprint arXiv:2005.00847, 2020 | 23 | 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 |
| 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 deep metric learning approach to account linking A Khan, E Fleming, N Schofield, M Bishop, N Andrews arXiv preprint arXiv:2105.07263, 2021 | 11 | 2021 |
| 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 |
| Recent Development in Document Clustering Techniques NO Andrews, EA Fox Dept of Computer Science, Virgina Tech, 2007 | 7 | 2007 |
| Low-resource authorship style transfer with in-context learning A Patel, N Andrews, C Callison-Burch arXiv preprint arXiv:2212.08986, 2022 | 6 | 2022 |
| 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 |
Mark DredzeJohns Hopkins Universitycs.jhu.edu의 이메일 확인됨
