Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

9 March 2019

Papers citing "Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them"

50 / 307 papers shown

Title
Improving Gender Translation Accuracy with Filtered Self-Training Prafulla Kumar Choubey Anna Currey Prashant Mathur Georgiana Dinu 20 10 0 15 Apr 2021
[RE] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Haswanth Aekula Sugam Garg Animesh Gupta CVBM 6 4 0 14 Apr 2021
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach Francisco Valentini Germán Rosati Damián E. Blasi D. Slezak Edgar Altszyler 22 3 0 13 Apr 2021
Gender Bias in Machine Translation Beatrice Savoldi Marco Gaido L. Bentivogli Matteo Negri Marco Turchi 64 192 0 13 Apr 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations Archit Rathore Sunipa Dev J. M. Phillips Vivek Srikumar Yan Zheng Chin-Chia Michael Yeh Junpeng Wang Wei Zhang Bei Wang 30 10 0 06 Apr 2021
What Will it Take to Fix Benchmarking in Natural Language Understanding? Samuel R. Bowman George E. Dahl ELM ALM 30 156 0 05 Apr 2021
Gender and Racial Fairness in Depression Research using Social Media Carlos Alejandro Aguirre Keith Harrigian Mark Dredze 22 37 0 18 Mar 2021
DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces Niklas Friedrich Anne Lauscher Simone Paolo Ponzetto Goran Glavavs 33 7 0 11 Mar 2021
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance J. Minot N. Cheney Marc E. Maier Danne C. Elbers C. Danforth P. Dodds FaML 28 3 0 10 Mar 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 262 374 0 28 Feb 2021
They, Them, Theirs: Rewriting with Gender-Neutral English Tony Sun Kellie Webster Apurva Shah William Yang Wang Melvin Johnson 27 59 0 12 Feb 2021
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models Hannah Rose Kirk Yennie Jun Haider Iqbal Elias Benussi Filippo Volpin F. Dreyer Aleksandar Shtedritski Yuki M. Asano 22 179 0 08 Feb 2021
From Toxicity in Online Comments to Incivility in American News: Proceed with Caution A. Hede Oshin Agarwal L. Lu Diana C. Mutz A. Nenkova 10 10 0 06 Feb 2021
Disembodied Machine Learning: On the Illusion of Objectivity in NLP Zeerak Talat Smarika Lulz Joachim Bingel Isabelle Augenstein 96 51 0 28 Jan 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models Daniel de Vassimon Manela D. Errington Thomas Fisher B. V. Breugel Pasquale Minervini 11 88 0 24 Jan 2021
Dictionary-based Debiasing of Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 38 39 0 23 Jan 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 218 137 0 23 Jan 2021
Censorship of Online Encyclopedias: Implications for NLP Models Eddie Yang Margaret E. Roberts 24 16 0 22 Jan 2021
Intrinsic Bias Metrics Do Not Correlate with Application Bias Seraphina Goldfarb-Tarrant Rebecca Marchant Ricardo Muñoz Sánchez Mugdha Pandya Adam Lopez 19 171 0 31 Dec 2020
Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings Geetanjali Bihani Julia Taylor Rayz 27 2 0 14 Dec 2020
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability Sunipa Dev 29 1 0 25 Nov 2020
Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP John Chen Ian Berlot-Attwell Safwan Hossain Xindi Wang Frank Rudzicz FaML 37 7 0 19 Nov 2020
How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points A. Farkas Renáta Németh 6 8 0 12 Nov 2020
Situated Data, Situated Systems: A Methodology to Engage with Power Relations in Natural Language Processing Research Lucy Havens Melissa Mhairi Terras Benjamin Bach Beatrice Alex 11 21 0 11 Nov 2020
On the State of Social Media Data for Mental Health Research Keith Harrigian Carlos Alejandro Aguirre Mark Dredze AI4MH 18 49 0 10 Nov 2020
Investigating Societal Biases in a Poetry Composition System Emily Sheng David C. Uthus 21 52 0 05 Nov 2020
AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings Anne Lauscher Rafik Takieddin Simone Paolo Ponzetto Goran Glavas 14 27 0 03 Nov 2020
Evaluating Bias In Dutch Word Embeddings Rodrigo Alejandro Chávez Mulsa Gerasimos Spanakis 18 20 0 31 Oct 2020
"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddings Thalea Schlender Gerasimos Spanakis 11 3 0 30 Oct 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias Marion Bartl Malvina Nissim Albert Gatt 28 123 0 27 Oct 2020
Discovering and Interpreting Biased Concepts in Online Communities Xavier Ferrer-Aran Tom van Nuenen Natalia Criado Jose Such 16 2 0 27 Oct 2020
Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings Vaibhav Kumar Tenzin Singhay Bhotia Vaibhav Kumar FaML 13 2 0 25 Oct 2020
Measuring and Reducing Gendered Correlations in Pre-trained Models Kellie Webster Xuezhi Wang Ian Tenney Alex Beutel Emily Pitler Ellie Pavlick Jilin Chen Ed Chi Slav Petrov FaML 18 250 0 12 Oct 2020
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base Pairs Haiyang Zhang Alison Sneyd Mark Stevenson 19 14 0 06 Oct 2020
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 26 27 0 06 Oct 2020
Which *BERT? A Survey Organizing Contextualized Encoders Patrick Xia Shijie Wu Benjamin Van Durme 26 50 0 02 Oct 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models Nikita Nangia Clara Vania Rasika Bhalerao Samuel R. Bowman 22 645 0 30 Sep 2020
Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation Francisco Vargas Ryan Cotterell 41 29 0 20 Sep 2020
Investigating Gender Bias in BERT Rishabh Bhardwaj Navonil Majumder Soujanya Poria 33 106 0 10 Sep 2020
$Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings$ Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings Vincent D. Warmerdam Thomas Kober Rachael Tatman 6 6 0 04 Sep 2020
Assessing Demographic Bias in Named Entity Recognition Shubhanshu Mishra Sijun He Luca Belli 12 46 0 08 Aug 2020
Defining and Evaluating Fair Natural Language Generation C. Yeo A. Chen 6 23 0 28 Jul 2020
Towards Debiasing Sentence Representations Paul Pu Liang Irene Z Li Emily Zheng Y. Lim Ruslan Salakhutdinov Louis-Philippe Morency 18 230 0 16 Jul 2020
Cultural Cartography with Word Embeddings Dustin S. Stoltz Marshall A. Taylor 23 38 0 09 Jul 2020
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings Sunipa Dev Tao Li J. M. Phillips Vivek Srikumar 13 54 0 30 Jun 2020
Large image datasets: A pyrrhic win for computer vision? Vinay Uday Prabhu Abeba Birhane 19 358 0 24 Jun 2020
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases W. Guo Aylin Caliskan 16 233 0 06 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T. Schütt Klaus-Robert Muller G. Montavon 34 215 0 05 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 71 40,200 0 28 May 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP Su Lin Blodgett Solon Barocas Hal Daumé Hanna M. Wallach 53 1,191 0 28 May 2020