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ORCIDNicholas Andrews
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2020 – today
- 2024
[j2]Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith:
Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts? Trans. Assoc. Comput. Linguistics 12: 875-891 (2024)- [c21]David Mueller, Mark Dredze, Nicholas Andrews:
Multi-Task Transfer Matters During Instruction-Tuning. ACL (Findings) 2024: 14880-14891 - [c20]Ross Koval, Nicholas Andrews, Xifeng Yan:
Learning to Compare Financial Reports for Financial Forecasting. EACL (Findings) 2024: 500-512 - [c19]Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews:
Few-Shot Detection of Machine-Generated Text using Style Representations. ICLR 2024 - [i15]Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews:
Few-Shot Detection of Machine-Generated Text using Style Representations. CoRR abs/2401.06712 (2024) - [i14]Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Tiyyala, Nicholas Andrews, Daniel Khashabi:
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. CoRR abs/2402.12370 (2024) - [i13]David Mueller, Mark Dredze, Nicholas Andrews:
Can Optimization Trajectories Explain Multi-Task Transfer? CoRR abs/2408.14677 (2024) - [i12]Zexin Cai, Henry Li Xinyuan, Ashi Garg, Leibny Paola García-Perera, Kevin Duh, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner:
Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization. CoRR abs/2409.03655 (2024) - [i11]Henry Li Xinyuan, Zexin Cai, Ashi Garg, Kevin Duh, Leibny Paola García-Perera, Sanjeev Khudanpur, Nicholas Andrews, Matthew Wiesner:
HLTCOE JHU Submission to the Voice Privacy Challenge 2024. CoRR abs/2409.08913 (2024) - 2023
- [j1]Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael A. Rivera Soto, Marcus Bishop, Nicholas Andrews:
Can Authorship Representation Learning Capture Stylistic Features? Trans. Assoc. Comput. Linguistics 11: 1416-1431 (2023) - [c18]Ross Koval, Nicholas Andrews, Xifeng Yan:
Forecasting Earnings Surprises from Conference Call Transcripts. ACL (Findings) 2023: 8197-8209 - [i10]Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael A. Rivera Soto, Marcus Bishop, Nicholas Andrews:
Can Authorship Representation Learning Capture Stylistic Features? CoRR abs/2308.11490 (2023) - [i9]Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith:
Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts? CoRR abs/2311.07564 (2023) - [i8]Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews:
Learning to Generate Text in Arbitrary Writing Styles. CoRR abs/2312.17242 (2023) - 2022
- [c17]David Mueller, Nicholas Andrews, Mark Dredze:
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? EMNLP (Findings) 2022: 2843-2858 - [i7]David Mueller, Nicholas Andrews, Mark Dredze:
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? CoRR abs/2212.06645 (2022) - [i6]Ajay Patel, Nicholas Andrews, Chris Callison-Burch:
Low-Resource Authorship Style Transfer with In-Context Learning. CoRR abs/2212.08986 (2022) - 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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last updated on 2024-11-05 20:56 CET by the dblp team
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