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Studies in bias and fairness in natural language processing have primarily examined social biases within a single language and/or across few attributes (e.g.
Note on the sampling error of the difference between correlated proportions or percentages
Quinn McNemar. 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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Evaluating transformer-based multilingual text classification
Sophie Groenwold, Samhita Honnavalli, Lily Ou, Aesha Parekh, Sharon Levy, Diba Mirza, and William Yang Wang. 2020a · 2004
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Overview of the evalita 2016 sentiment polarity classification task
Francesco Barbieri, Valerio Basile, Danilo Croce, Malvina Nissim, Nicole Novielli, and Viviana Patti. 2016 · 2016
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, and Adam T Kalai. 2016 · 2016
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The trouble with bias
Kate Crawford. 2017 · 2017
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Men also like shopping: Reducing gender bias amplification using corpus-level constraints
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, and Kai-Wei Chang. 2017 · 2017
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Representations and architectures in neural sentiment analysis for morphologically rich languages: A case study from Modern Hebrew
Adam Amram, Anat Ben David, and Reut Tsarfaty. 2018 · 2018
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Overview of the evalita 2018 aspect-based sentiment analysis task (absita)
Pierpaolo Basile, Valerio Basile, Danilo Croce, and Marco Polignano. 2018 · 2018
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Racial bias in hate speech and abusive language detection datasets
Thomas Davidson, Debasmita Bhattacharya, and Ingmar Weber. 2019 · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Perturbation sensitivity analysis to detect unintended model biases
Vinodkumar Prabhakaran, Ben Hutchinson, and Margaret Mitchell. 2019 · 2019
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The risk of racial bias in hate speech detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith. 2019 · 2019
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Mitigating gender bias in natural language processing: Literature review
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang, and William Yang Wang. 2019 · 2019
Cited alongside, same era.
Examining gender bias in languages with grammatical gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, and Kai-Wei Chang. 2019 · 2019
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Cited alongside, same era.
Investigating African-American Vernacular English in transformer-based text generation
Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, and William Yang Wang. 2020b · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Quantifying social biases in NLP: A generalization and empirical comparison of extrinsic fairness metrics
Paula Czarnowska, Yogarshi Vyas, and Kashif Shah. 2021 · 2021
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StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy. 2021 · 2021
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How good is your tokenizer? on the monolingual performance of multilingual language models
Phillip Rust, Jonas Pfeiffer, Ivan Vulić, Sebastian Ruder, and Iryna Gurevych. 2021 · 2021
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Re-imagining algorithmic fairness in india and beyond
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, and Vinodkumar Prabhakaran. 2021 · 2021
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Are pretrained multilingual models equally fair across languages?
Laura Cabello Piqueras and Anders Søgaard. 2022 · 2022
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The multilingual Amazon reviews corpus
Phillip Keung, Yichao Lu, György Szarvas, and Noah A. Smith. 2020 · 2020
Cited alongside, same era.
XED: A multilingual dataset for sentiment analysis and emotion detection
Emily Öhman, Marc Pàmies, Kaisla Kajava, and Jörg Tiedemann. 2020 · 2020
Cited alongside, same era.
Beyond accuracy: Behavioral testing of NLP models with CheckList
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, and Sameer Singh. 2020 · 2020
Cited alongside, same era.
Social bias frames: Reasoning about social and power implications of language
Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
Cited alongside, same era.
Mitigating language-dependent ethnic bias in BERT
Jaimeen Ahn and Alice Oh. 2021 · 2021
Cited alongside, same era.
Stereotyping Norwegian salmon: An inventory of pitfalls in fairness benchmark datasets
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna Wallach. 2021 · 2021
Cited alongside, same era.
Mapping the multilingual margins: Intersectional biases of sentiment analysis systems in English, Spanish, and Arabic
António Câmara, Nina Taneja, Tamjeed Azad, Emily Allaway, and Richard Zemel. 2022 · 2022
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Towards understanding gender-seniority compound bias in natural language generation
Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez, and William Yang Wang. 2022 · 2022
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Gender bias in masked language models for multiple languages
Masahiro Kaneko, Aizhan Imankulova, Danushka Bollegala, and Naoaki Okazaki. 2022 · 2022
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Socially aware bias measurements for Hindi language representations
Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, and Kai-Wei Chang. 2022 · 2022
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French CrowS-pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English
Aurélie Névéol, Yoann Dupont, Julien Bezançon, and Karën Fort. 2022 · 2022
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Mirac Suzgun, Luke Melas-Kyriazi, and Dan Jurafsky. 2022 · 2022
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Assessing multilingual fairness in pre-trained multimodal representations
Jialu Wang, Yang Liu, and Xin Wang. 2022 · 2022
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