Kellie Webster

According to our database, Kellie Webster authored at least 21 papers between 2013 and 2023.

Collaborative distances:

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

2023

Query Refinement Prompts for Closed-Book Long-Form QA.

Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Underspecification Presents Challenges for Credibility in Modern Machine Learning.

Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

J. Mach. Learn. Res., 2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

Query Refinement Prompts for Closed-Book Long-Form Question Answering.

Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan

CoRR, 2022

Flexible text generation for counterfactual fairness probing.

Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster

CoRR, 2022

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.

Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui

Proceedings of the International Conference on Machine Learning, 2022

2021

Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering.

Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber

CoRR, 2021

How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP.

Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett

CoRR, 2021

They, Them, Theirs: Rewriting with Gender-Neutral English.

Tony Sun, Kellie Webster, Apurva Shah, William Yang Wang, Melvin Johnson

CoRR, 2021

Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy.

Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber

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

2020

Unintended machine learning biases as social barriers for persons with disabilitiess.

Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

ACM SIGACCESS Access. Comput., 2020

Measuring and Reducing Gendered Correlations in Pre-trained Models.

Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov

CoRR, 2020

Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation.

Kellie Webster, Emily Pitler

CoRR, 2020

Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias.

Ana Valeria González-Garduño, Maria Barrett, Rasmus Hvingelby, Kellie Webster, Anders Søgaard

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

Automatically Identifying Gender Issues in Machine Translation using Perturbations.

Hila Gonen, Kellie Webster

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Social Biases in NLP Models as Barriers for Persons with Disabilities.

Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl

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

2018

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns.

Kellie Webster, Marta Recasens, Vera Axelrod, Jason Baldridge

Trans. Assoc. Comput. Linguistics, 2018

A Challenge Set and Methods for Noun-Verb Ambiguity.

Ali El-Kahky, Kellie Webster, Daniel Andor, Emily Pitler

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Using mention accessibility to improve coreference resolution.

Kellie Webster, Joel Nothman

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014

Limited memory incremental coreference resolution.

Kellie Webster, James R. Curran

Proceedings of the COLING 2014, 2014

2013

Examining the Impact of Coreference Resolution on Quote Attribution.

Timothy O'Keefe, Kellie Webster, James R. Curran, Irena Koprinska

Proceedings of the Australasian Language Technology Association Workshop, 2013