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ORCIDKellie Webster
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Journal Articles
- 2022
[j3]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:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23: 226:1-226:61 (2022)- 2020
- [j2]Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Unintended machine learning biases as social barriers for persons with disabilitiess. ACM SIGACCESS Access. Comput. 125: 9 (2020) - 2018
- [j1]Kellie Webster, Marta Recasens, Vera Axelrod, Jason Baldridge:
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns. Trans. Assoc. Comput. Linguistics 6: 605-617 (2018)
Conference and Workshop Papers
- 2023
- [c10]Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan:
Query Refinement Prompts for Closed-Book Long-Form QA. ACL (1) 2023: 7997-8012 - 2022
- [c9]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:
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. ICML 2022: 5547-5569 - 2021
- [c8]Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber:
Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy. EMNLP (1) 2021: 5457-5473 - 2020
- [c7]Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Social Biases in NLP Models as Barriers for Persons with Disabilities. ACL 2020: 5491-5501 - [c6]Hila Gonen, Kellie Webster:
Automatically Identifying Gender Issues in Machine Translation using Perturbations. EMNLP (Findings) 2020: 1991-1995 - [c5]Ana Valeria González-Garduño, Maria Barrett, Rasmus Hvingelby
, Kellie Webster, Anders Søgaard:
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias. EMNLP (1) 2020: 2637-2648 - 2018
- [c4]Ali El-Kahky, Kellie Webster, Daniel Andor, Emily Pitler:
A Challenge Set and Methods for Noun-Verb Ambiguity. EMNLP 2018: 2562-2572 - 2016
- [c3]Kellie Webster, Joel Nothman:
Using mention accessibility to improve coreference resolution. ACL (2) 2016 - 2014
- [c2]Kellie Webster, James R. Curran:
Limited memory incremental coreference resolution. COLING 2014: 2129-2139 - 2013
- [c1]Timothy O'Keefe, Kellie Webster, James R. Curran, Irena Koprinska:
Examining the Impact of Coreference Resolution on Quote Attribution. ALTA 2013: 43-52
Editorship
- 2015
- [e1]Ben Hachey, Kellie Webster:
Proceedings of the Australasian Language Technology Association Workshop, ALTA 2015, Parramatta, Australia, December 8 - 9, 2015. ACL 2015 [contents]
Informal and Other Publications
- 2022
- [i14]Zee Fryer, Vera Axelrod, Ben Packer, Alex Beutel, Jilin Chen, Kellie Webster:
Flexible text generation for counterfactual fairness probing. CoRR abs/2206.13757 (2022) - [i13]Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das, Shashi Narayan:
Query Refinement Prompts for Closed-Book Long-Form Question Answering. CoRR abs/2210.17525 (2022) - [i12]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:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - 2021
- [i11]Tony Sun, Kellie Webster, Apurva Shah, William Yang Wang, Melvin Johnson:
They, Them, Theirs: Rewriting with Gender-Neutral English. CoRR abs/2102.06788 (2021) - [i10]Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster, Will Radford, Su Lin Blodgett:
How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP. CoRR abs/2104.03026 (2021) - [i9]Maharshi Gor, Kellie Webster, Jordan L. Boyd-Graber:
Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering. CoRR abs/2104.07571 (2021) - [i8]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 Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathy Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui:
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. CoRR abs/2112.06905 (2021) - 2020
- [i7]Hila Gonen, Kellie Webster:
Automatically Identifying Gender Issues in Machine Translation using Perturbations. CoRR abs/2004.14065 (2020) - [i6]Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Social Biases in NLP Models as Barriers for Persons with Disabilities. CoRR abs/2005.00813 (2020) - [i5]Kellie Webster, Emily Pitler:
Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation. CoRR abs/2006.08881 (2020) - [i4]Ana Valeria González-Garduño, Maria Barrett, Rasmus Hvingelby, Kellie Webster, Anders Søgaard:
Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias. CoRR abs/2009.11982 (2020) - [i3]Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov:
Measuring and Reducing Gendered Correlations in Pre-trained Models. CoRR abs/2010.06032 (2020) - [i2]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:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR abs/2011.03395 (2020) - 2018
- [i1]Kellie Webster, Marta Recasens, Vera Axelrod, Jason Baldridge:
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns. CoRR abs/1810.05201 (2018)
Coauthor Index
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