Nicholas Andrews

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Topics

Bayesian Modeling

Financial Reports

Top Venues

Publications

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)
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 (2024)
David Mueller, Mark Dredze, Nicholas Andrews
Multi-Task Transfer Matters During Instruction-Tuning. ACL (Findings) (2024)
Ross Koval, Nicholas Andrews, Xifeng Yan
Learning to Compare Financial Reports for Financial Forecasting. EACL (Findings) (2024)
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 (2024)
Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael A. Rivera Soto, Marcus Bishop, Nicholas Andrews
Can Authorship Representation Learning Capture Stylistic Features? CoRR (2023)
Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith
Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts? CoRR (2023)
Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews
Learning to Generate Text in Arbitrary Writing Styles. CoRR (2023)
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 (2023)
Ross Koval, Nicholas Andrews, Xifeng Yan
Forecasting Earnings Surprises from Conference Call Transcripts. ACL (Findings) (2023)
David Mueller, Nicholas Andrews, Mark Dredze
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? EMNLP (Findings) (2022)
Ajay Patel, Nicholas Andrews, Chris Callison-Burch
Low-Resource Authorship Style Transfer with In-Context Learning. CoRR (2022)
David Mueller, Nicholas Andrews, Mark Dredze
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? CoRR (2022)
Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
A Deep Metric Learning Approach to Account Linking. NAACL-HLT (2021)
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)
Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews
A Deep Metric Learning Approach to Account Linking. CoRR (2021)
Steven Reich, David Mueller, Nicholas Andrews
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three. CoRR (2020)
Steven Reich, David Mueller, Nicholas Andrews
Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three. EMNLP (1) (2020)
Mitchell A. Gordon, Kevin Duh, Nicholas Andrews
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. CoRR (2020)
Mitchell A. Gordon, Kevin Duh, Nicholas Andrews
Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning. RepL4NLP@ACL (2020)
David Mueller, Nicholas Andrews, Mark Dredze
Sources of Transfer in Multilingual Named Entity Recognition. ACL (2020)
David Mueller, Nicholas Andrews, Mark Dredze
Sources of Transfer in Multilingual Named Entity Recognition. CoRR (2020)
Nicholas Andrews, Marcus Bishop
Learning Invariant Representations of Social Media Users. CoRR (2019)
Nicholas Andrews, Marcus Bishop
Learning Invariant Representations of Social Media Users. EMNLP/IJCNLP (1) (2019)
Zach Wood-Doughty, Nicholas Andrews, Mark Dredze
Convolutions Are All You Need (For Classifying Character Sequences). NUT@EMNLP (2018)
Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze
Predicting Twitter User Demographics from Names Alone. PEOPLES@NAACL-HTL (2018)
Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner
Bayesian Modeling of Lexical Resources for Low-Resource Settings. ACL (1) (2017)
Mark Dredze, Nicholas Andrews, Jay DeYoung
Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation. SocialNLP@EMNLP (2016)
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)
Nicholas Andrews, Jason Eisner, Mark Dredze
Robust Entity Clustering via Phylogenetic Inference. ACL (1) (2014)
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)
Nicholas Andrews, Jason Eisner, Mark Dredze
Name Phylogeny: A Generative Model of String Variation. EMNLP-CoNLL (2012)
Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning
Entity Clustering Across Languages. HLT-NAACL (2012)
Nicholas Andrews, Naren Ramakrishnan
Seeded Discovery of Base Relations in Large Corpora. EMNLP (2008)