Using Adversarial Debiasing to Remove Bias from Word Embeddings

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Using Adversarial Debiasing to Remove Bias from Word Embeddings

21 July 2021

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Papers citing "Using Adversarial Debiasing to Remove Bias from Word Embeddings"

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Title
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 157 1,248 0 28 May 2020
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them Hila Gonen Yoav Goldberg 116 571 0 09 Mar 2019
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction C. Wadsworth Francesca Vera Chris Piech FaML 75 180 0 30 Jun 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 199 1,390 0 22 Jan 2018
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 112 3,150 0 21 Jul 2016
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 680 31,544 0 16 Jan 2013