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Measuring bias is key for better understanding and addressing unfairness in NLP/ML models.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, N. Saxena, Kristina Lerman, and A. Galstyan. 2019 · 1908
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On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
H. B. Mann and D. R. Whitney. 1947 · 1947
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CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Nikita Nangia, Clara Vania, Rasika Bhalerao, and Samuel R. Bowman. 2020 · 1967
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Absolutely relative: how research results are summarized can affect treatment decisions
Lachlan Forrow, William C Taylor, and Robert M Arnold. 1992 · 1992
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Automatically Identifying Gender Issues in Machine Translation using Perturbations
Hila Gonen and Kellie Webster. 2020 · 1995
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Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001
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Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003
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StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy. 2020 · 2004
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Design Challenges and Misconceptions in Named Entity Recognition
Lev Ratinov and Dan Roth. 2009 · 2009
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Fairness through Awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. 2012 · 2012
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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
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Tagging Performance Correlates with Author Age
Dirk Hovy and Anders Søgaard. 2015 · 2015
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Measuring effectiveness
Jacob Stegenga. 2015 · 2015
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Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai. 2016 · 2016
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Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, and Nathan Srebro. 2016 · 2016
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Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Alex Beutel, J. Chen, Zhe Zhao, and Ed Huai hsin Chi. 2017 · 2017
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Su Lin Blodgett and Brendan T. O’Connor. 2017 · 2017
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna Bryson, and Arvind Narayanan. 2017 · 2017
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Counterfactual Fairness
Matt J Kusner, Joshua Loftus, Chris Russell, and Ricardo Silva. 2017 · 2017
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Relative risk versus absolute risk: one cannot be interpreted without the other: Clinical epidemiology in nephrology
M. Noordzij, M. van Diepen, F. Caskey, and K. Jager. 2017 · 2017
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The limits of abstract evaluation metrics: The case of hate speech detection
Alexandra Olteanu, Kartik Talamadupula, and Kush R Varshney. 2017 · 2017
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Twitter Universal Dependency parsing for African-American and mainstream American English
Su Lin Blodgett, Johnny Wei, and Brendan O’Connor. 2018 · 2018
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Measuring and Mitigating Unintended Bias in Text Classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018 · 2018
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Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems
Svetlana Kiritchenko and Saif Mohammad. 2018 · 2018
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SemEval-2018 Task 1: Affect in Tweets
Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, and Svetlana Kiritchenko. 2018 · 2018
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Gender bias in coreference resolution
Rachel Rudinger, Jason Naradowsky, Brian Leonard, and Benjamin Van Durme. 2018 · 2018
Cited alongside, same era.
Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns
Kellie Webster, Marta Recasens, Vera Axelrod, and Jason Baldridge. 2018 · 2018
Cited alongside, same era.
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2018 · 2018
Cited alongside, same era.
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations
Pinkesh Badjatiya, Manish Gupta, and Vasudeva Varma. 2019 · 2019
Cited alongside, same era.
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan, Omid Poursaeed, and Vitaly Shmatikov. 2019 · 2019
Cited alongside, same era.
An annotated dataset of literary entities
David Bamman, Sejal Popat, and Sheng Shen. 2019 · 2019
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach. 2020 · 2020
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Toward Gender-Inclusive Coreference Resolution
Yang Trista Cao and Hal Daumé III. 2020 · 2020
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A Snapshot of the Frontiers of Fairness in Machine Learning
Alexandra Chouldechova and Aaron Roth. 2020 · 2020
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020 · 2020
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Towards Understanding Gender Bias in Relation Extraction
Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2020 · 2020
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Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
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Cited alongside, same era.
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, and Ed H Chi. 2019 · 2019
Cited alongside, same era.
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis
Jayadev Bhaskaran and Isha Bhallamudi. 2019 · 2019
Cited alongside, same era.
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Daniel Borkan, Lucas Dixon, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2019 · 2019
Cited alongside, same era.
Measuring Gender Bias in Word Embeddings across Domains and Discovering New Gender Bias Word Categories
Kaytlin Chaloner and Alfredo Maldonado. 2019 · 2019
Cited alongside, same era.
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson, Debasmita Bhattacharya, and Ingmar Weber. 2019 · 2019
Cited alongside, same era.
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, and Adam Tauman Kalai. 2019 · 2019
Cited alongside, same era.
Po-Sen Huang, Huan Zhang, Ray Jiang, Robert Stanforth, Johannes Welbl, Jack Rae, Vishal Maini, Dani Yogatama, and Pushmeet Kohli. 2020a · 2020
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Social biases in NLP models as barriers for persons with disabilities
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. 2020 · 2020
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The Meaning and Measurement of Bias: Lessons from Natural Language Processing
Abigail Z. Jacobs, Su Lin Blodgett, Solon Barocas, Hal Daumé, and Hanna Wallach. 2020 · 2020
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Wasserstein Fair Classification
Ray Jiang, Aldo Pacchiano, Tom Stepleton, Heinrich Jiang, and Silvia Chiappa. 2020 · 2020
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Towards debiasing sentence representations
Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, and Louis-Philippe Morency. 2020 · 2020
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Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, and Aram Galstyan. 2020 · 2020
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Bias in Word Embeddings
Orestis Papakyriakopoulos, Simon Hegelich, Juan Carlos Medina Serrano, and Fabienne Marco. 2020 · 2020
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Joint Multiclass Debiasing of Word Embeddings
Radomir Popović, Florian Lemmerich, and Markus Strohmaier. 2020 · 2020
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Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, and Sameer Singh. 2020 · 2020
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FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English
Anthony Rios. 2020 · 2020
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An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings
Anthony Rios and Brandon Lwowski. 2020 · 2020
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Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
Danielle Saunders and Bill Byrne. 2020 · 2020
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Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview
Deven Santosh Shah, H. Andrew Schwartz, and Dirk Hovy. 2020 · 2020
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Towards Controllable Biases in Language Generation
Emily Sheng, Kai-Wei Chang, Prem Natarajan, and Nanyun Peng. 2020 · 2020
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Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
Seungjae Shin, Kyungwoo Song, JoonHo Jang, Hyemi Kim, Weonyoung Joo, and Il-Chul Moon. 2020 · 2020
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Mitigating Gender Bias in Machine Translation with Target Gender Annotations
Artūrs Stafanovičs, Toms Bergmanis, and Mārcis Pinnis. 2020 · 2020
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It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan, Shafiq Joty, Min-Yen Kan, and Richard Socher. 2020 · 2020
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Cyberbullying Detection With Fairness Constraints
Oguzhan Gencoglu. 2021 · 2021
Closest in time.
Intrinsic Bias Metrics Do Not Correlate with Application Bias
Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sanchez, Mugdha Pandya, and Adam Lopez. 2021 · 2021
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Gender Bias in Machine Translation
Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, Matteo Negri, and Marco Turchi. 2021 · 2021
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Societal Biases in Language Generation: Progress and Challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng. 2021 · 2021
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