Nicholas Andrews

According to our database, Nicholas Andrews authored at least 25 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies.

Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Tiyyala, Nicholas Andrews, Daniel Khashabi

CoRR, 2024

Few-Shot Detection of Machine-Generated Text using Style Representations.

Rafael A. Rivera Soto, Kailin Koch, Aleem Khan, Barry Y. Chen, Marcus Bishop, Nicholas Andrews

CoRR, 2024

Learning to Compare Financial Reports for Financial Forecasting.

Ross Koval, Nicholas Andrews, Xifeng Yan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Learning to Generate Text in Arbitrary Writing Styles.

Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews

CoRR, 2023

Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?

Cristina Aggazzotti, Nicholas Andrews, Elizabeth Allyn Smith

CoRR, 2023

Can Authorship Representation Learning Capture Stylistic Features?

Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael A. Rivera Soto, Marcus Bishop, Nicholas Andrews

CoRR, 2023

Forecasting Earnings Surprises from Conference Call Transcripts.

Ross Koval, Nicholas Andrews, Xifeng Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Low-Resource Authorship Style Transfer with In-Context Learning.

Ajay Patel, Nicholas Andrews, Chris Callison-Burch

CoRR, 2022

Do Text-to-Text Multi-Task Learners Suffer from Task Conflict?

David Mueller, Nicholas Andrews, Mark Dredze

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

A Deep Metric Learning Approach to Account Linking.

Aleem Khan, Elizabeth Fleming, Noah Schofield, Marcus Bishop, Nicholas Andrews

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning Universal Authorship Representations.

Rafael A. Rivera Soto, Olivia Elizabeth Miano, Juanita Ordonez, Barry Y. Chen, Aleem Khan, Marcus Bishop, Nicholas Andrews

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning.

Mitchell A. Gordon, Kevin Duh, Nicholas Andrews

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three.

Steven Reich, David Mueller, Nicholas Andrews

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Sources of Transfer in Multilingual Named Entity Recognition.

David Mueller, Nicholas Andrews, Mark Dredze

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Learning Invariant Representations of Social Media Users.

Nicholas Andrews, Marcus Bishop

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Convolutions Are All You Need (For Classifying Character Sequences).

Zach Wood-Doughty, Nicholas Andrews, Mark Dredze

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

Predicting Twitter User Demographics from Names Alone.

Zach Wood-Doughty, Nicholas Andrews, Rebecca Marvin, Mark Dredze

Proceedings of the Second Workshop on Computational Modeling of People's Opinions, 2018

2017

Bayesian Modeling of Lexical Resources for Low-Resource Settings.

Nicholas Andrews, Mark Dredze, Benjamin Van Durme, Jason Eisner

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation.

Mark Dredze, Nicholas Andrews, Jay DeYoung

Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015

A Concrete Chinese NLP Pipeline.

Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, Mark Dredze

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Robust Entity Clustering via Phylogenetic Inference.

Nicholas Andrews, Jason Eisner, Mark Dredze

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

PARMA: A Predicate Argument Aligner.

Travis Wolfe, Benjamin Van Durme, Mark Dredze, Nicholas Andrews, Charley Beller, Chris Callison-Burch, Jay DeYoung, Justin Snyder, Jonathan Weese, Tan Xu, Xuchen Yao

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Entity Clustering Across Languages.

Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Name Phylogeny: A Generative Model of String Variation.

Nicholas Andrews, Jason Eisner, Mark Dredze

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2008

Seeded Discovery of Base Relations in Large Corpora.

Nicholas Andrews, Naren Ramakrishnan

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008