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2020 – today
- 2021
[c16]Rafael A. Rivera Soto, Olivia Elizabeth Miano, Juanita Ordonez, Barry Y. Chen, Aleem Khan, Marcus Bishop, Nicholas Andrews:
Learning Universal Authorship Representations. EMNLP (1) 2021: 913-919- [c15]Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews:
A Deep Metric Learning Approach to Account Linking. NAACL-HLT 2021: 5275-5287 - [i5]Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews:
A Deep Metric Learning Approach to Account Linking. CoRR abs/2105.07263 (2021) - 2020
- [c14]David Mueller, Nicholas Andrews, Mark Dredze:
Sources of Transfer in Multilingual Named Entity Recognition. ACL 2020: 8093-8104 - [c13]Steven Reich, David Mueller, Nicholas Andrews:
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three. EMNLP (1) 2020: 5583-5595 - [c12]Mitchell A. Gordon, Kevin Duh, Nicholas Andrews:
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. RepL4NLP@ACL 2020: 143-155 - [i4]Mitchell A. Gordon, Kevin Duh, Nicholas Andrews:
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. CoRR abs/2002.08307 (2020) - [i3]David Mueller, Nicholas Andrews, Mark Dredze:
Sources of Transfer in Multilingual Named Entity Recognition. CoRR abs/2005.00847 (2020) - [i2]Steven Reich, David Mueller, Nicholas Andrews:
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three. CoRR abs/2010.06721 (2020)
2010 – 2019
- 2019
- [c11]Nicholas Andrews, Marcus Bishop:
Learning Invariant Representations of Social Media Users. EMNLP/IJCNLP (1) 2019: 1684-1695 - [i1]Nicholas Andrews, Marcus Bishop:
Learning Invariant Representations of Social Media Users. CoRR abs/1910.04979 (2019) - 2018
- [c10]Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze:
Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL 2018: 105-111 - [c9]Zach Wood-Doughty, Nicholas Andrews, Mark Dredze:
Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP 2018: 208-213 - 2017
- [c8]Nicholas Andrews, Mark Dredze
, Benjamin Van Durme, Jason Eisner:
Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) 2017: 1029-1039 - 2016
- [c7]Mark Dredze, Nicholas Andrews, Jay DeYoung:
Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. SocialNLP@EMNLP 2016: 20-25 - 2015
- [c6]Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze:
A Concrete Chinese NLP Pipeline. HLT-NAACL 2015: 86-90 - 2014
- [c5]Nicholas Andrews, Jason Eisner, Mark Dredze:
Robust Entity Clustering via Phylogenetic Inference. ACL (1) 2014: 775-785 - 2013
- [c4]Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao:
PARMA: A Predicate Argument Aligner. ACL (2) 2013: 63-68 - 2012
- [c3]Nicholas Andrews, Jason Eisner, Mark Dredze:
Name Phylogeny: A Generative Model of String Variation. EMNLP-CoNLL 2012: 344-355 - [c2]Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning:
Entity Clustering Across Languages. HLT-NAACL 2012: 60-69
2000 – 2009
- 2008
- [c1]Nicholas Andrews, Naren Ramakrishnan:
Seeded Discovery of Base Relations in Large Corpora. EMNLP 2008: 591-599
Coauthor Index
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