Examining the Impact of Coreference Resolution on Quote Attribution. - Timothy O'Keefe; Kellie Webster; James R. Curran; Irena Koprinska (ALTA, 2013)

Limited memory incremental coreference resolution. - Kellie Webster; James R. Curran (COLING, 2014)

Using mention accessibility to improve coreference resolution. - Kellie Webster; Joel Nothman (ACL (2), 2016)

A Challenge Set and Methods for Noun-Verb Ambiguity. - Ali El-Kahky; Kellie Webster; Daniel Andor; Emily Pitler (EMNLP, 2018)

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns. - Kellie Webster; Marta Recasens; Vera Axelrod; Jason Baldridge (Trans. Assoc. Comput. Linguistics, 2018)

Social Biases in NLP Models as Barriers for Persons with Disabilities. - Ben Hutchinson; Vinodkumar Prabhakaran; Emily Denton; Kellie Webster; Yu Zhong; Stephen Denuyl (ACL, 2020)

Automatically Identifying Gender Issues in Machine Translation using Perturbations. - Hila Gonen; Kellie Webster (EMNLP (Findings), 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 (EMNLP (1), 2020)

Scalable Cross Lingual Pivots to Model Pronoun Gender for Translation. - Kellie Webster; Emily Pitler (CoRR, 2020)

Measuring and Reducing Gendered Correlations in Pre-trained Models. - Kellie Webster; Xuezhi Wang 002; Ian Tenney; Alex Beutel; Emily Pitler; Ellie Pavlick; Jilin Chen; Slav Petrov (CoRR, 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)

Toward Deconfounding the Effect of Entity Demographics for Question Answering Accuracy. - Maharshi Gor; Kellie Webster; Jordan L. Boyd-Graber (EMNLP (1), 2021)

They, Them, Theirs: Rewriting with Gender-Neutral English. - Tony Sun; Kellie Webster; Apurva Shah; William Yang Wang; Melvin Johnson (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)

Towards Deconfounding the Influence of Subject's Demographic Characteristics in Question Answering. - Maharshi Gor; Kellie Webster; Jordan L. Boyd-Graber (CoRR, 2021)

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. - Nan Du 002; Yanping Huang; Andrew M. Dai; Simon Tong; Dmitry Lepikhin; Yuanzhong Xu; Maxim Krikun; Yanqi Zhou; Adams Wei Yu; Orhan Firat; Barret Zoph; Liam Fedus; et al. (ICML, 2022)

Flexible text generation for counterfactual fairness probing. - Zee Fryer; Vera Axelrod; Ben Packer; Alex Beutel; Jilin Chen; Kellie Webster (CoRR, 2022)

Query Refinement Prompts for Closed-Book Long-Form Question Answering. - Reinald Kim Amplayo; Kellie Webster; Michael Collins 001; Dipanjan Das 001; Shashi Narayan (CoRR, 2022)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 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; et al. (J. Mach. Learn. Res., 2022)

Query Refinement Prompts for Closed-Book Long-Form QA. - Reinald Kim Amplayo; Kellie Webster; Michael Collins 001; Dipanjan Das 001; Shashi Narayan (ACL (1), 2023)