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
CausaLM: Causal Model Explanation Through Counterfactual Language Models Amir Feder Nadav Oved Uri Shalit Roi Reichart CML LRM 44 157 0 27 May 2020
MT-Adapted Datasheets for Datasets: Template and Repository Marta R. Costa-jussá Roger Creus Oriol Domingo A. Domínguez Miquel Escobar Cayetana López Marina Garcia Margarita Geleta 23 12 0 27 May 2020
Towards classification parity across cohorts Aarsh Patel Rahul Gupta Mukund Sridhar Satyapriya Krishna Aman Alok Peng Liu FaML 23 1 0 16 May 2020
Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning Procheta Sen Debasis Ganguly 27 18 0 14 May 2020
Deep Learning for Political Science Kakia Chatsiou Slava Jankin AI4CE 34 12 0 13 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 285 0 07 May 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 157 54 0 03 May 2020
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer Jieyu Zhao Subhabrata Mukherjee Saghar Hosseini Kai-Wei Chang Ahmed Hassan Awadallah 14 88 0 02 May 2020
Multi-Dimensional Gender Bias Classification Emily Dinan Angela Fan Ledell Yu Wu Jason Weston Douwe Kiela Adina Williams FaML 22 122 0 01 May 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research Soujanya Poria Devamanyu Hazarika Navonil Majumder Rada Mihalcea 42 207 0 01 May 2020
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People? K. Joseph Jonathan H. Morgan 6 27 0 25 Apr 2020
StereoSet: Measuring stereotypical bias in pretrained language models Moin Nadeem Anna Bethke Siva Reddy 37 957 0 20 Apr 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 23 368 0 16 Apr 2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem Danielle Saunders Bill Byrne AI4CE 24 137 0 09 Apr 2020
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation Seung-Jae Shin Kyungwoo Song Joonho Jang Hyemi Kim Weonyoung Joo Il-Chul Moon 30 20 0 07 Apr 2020
"You are grounded!": Latent Name Artifacts in Pre-trained Language Models Vered Shwartz Rachel Rudinger Oyvind Tafjord 14 50 0 06 Apr 2020
Bias in Machine Learning -- What is it Good for? Thomas Hellström Virginia Dignum Suna Bensch AI4CE FaML 14 3 0 01 Apr 2020
On the Integration of LinguisticFeatures into Statistical and Neural Machine Translation Eva Vanmassenhove 11 0 0 31 Mar 2020
FrameAxis: Characterizing Microframe Bias and Intensity with Word Embedding Haewoon Kwak Jisun An Elise Jing Yong-Yeol Ahn 19 44 0 20 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 388 0 21 Jan 2020
Measuring Social Bias in Knowledge Graph Embeddings Joseph Fisher Dave Palfrey Christos Christodoulopoulos Arpit Mittal FaML 15 36 0 05 Dec 2019
A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations Zekun Yang Juan Feng FaML 8 36 0 25 Nov 2019
Automatically Neutralizing Subjective Bias in Text Reid Pryzant Richard Diehl Martinez Nathan Dass Sadao Kurohashi Dan Jurafsky Diyi Yang 30 175 0 21 Nov 2019
Correcting Sociodemographic Selection Biases for Population Prediction from Social Media Salvatore Giorgi Veronica E. Lynn Keshav Gupta F. Ahmed S. Matz Lyle Ungar H. Andrew Schwartz 9 24 0 10 Nov 2019
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. Andrew Schwartz Dirk Hovy AI4CE 27 258 0 09 Nov 2019
Assessing Social and Intersectional Biases in Contextualized Word Representations Y. Tan Elisa Celis FaML 27 223 0 04 Nov 2019
Probabilistic Bias Mitigation in Word Embeddings Hailey James David Alvarez-Melis 9 4 0 31 Oct 2019
How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? Hila Gonen Yova Kementchedjhieva Yoav Goldberg FaML 8 22 0 30 Oct 2019
Perturbation Sensitivity Analysis to Detect Unintended Model Biases Vinodkumar Prabhakaran Ben Hutchinson Margaret Mitchell 22 117 0 09 Oct 2019
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment Jaap Jumelet Willem H. Zuidema Dieuwke Hupkes LRM 33 37 0 19 Sep 2019
Decision-Directed Data Decomposition Brent D. Davis Ethan Jackson D. Lizotte 22 2 0 18 Sep 2019
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces Anne Lauscher Goran Glavas Simone Paolo Ponzetto Ivan Vulić 29 62 0 13 Sep 2019
Neural Embedding Allocation: Distributed Representations of Topic Models Kamrun Naher Keya Yannis Papanikolaou James R. Foulds BDL 19 5 0 10 Sep 2019
Examining Gender Bias in Languages with Grammatical Gender Pei Zhou Weijia Shi Jieyu Zhao Kuan-Hao Huang Muhao Chen Ryan Cotterell Kai-Wei Chang 16 103 0 05 Sep 2019
Interpretable Word Embeddings via Informative Priors Miriam Hurtado Bodell Martin Arvidsson Måns Magnusson 27 18 0 03 Sep 2019
It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution Rowan Hall Maudslay Hila Gonen Ryan Cotterell Simone Teufel 11 168 0 02 Sep 2019
Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space Kawin Ethayarajh LLMSV 13 13 0 02 Sep 2019
Automatically Inferring Gender Associations from Language Serina Chang Kathleen McKeown FaML 8 11 0 30 Aug 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual He He Sheng Zha Haohan Wang 22 197 0 28 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 335 4,223 0 23 Aug 2019
Understanding Undesirable Word Embedding Associations Kawin Ethayarajh David Duvenaud Graeme Hirst FaML 11 124 0 18 Aug 2019
Debiasing Embeddings for Reduced Gender Bias in Text Classification Flavien Prost Nithum Thain Tolga Bolukbasi FaML 14 50 0 07 Aug 2019
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning Yair Horesh N. Haas Elhanan Mishraky Yehezkel S. Resheff Shir Meir Lador FaML 14 7 0 07 Aug 2019
Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990 M. Wevers 13 32 0 21 Jul 2019
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis J. Bhaskaran Isha Bhallamudi 27 46 0 24 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 47 542 0 21 Jun 2019
Conceptor Debiasing of Word Representations Evaluated on WEAT S. Karve Lyle Ungar João Sedoc FaML 22 33 0 14 Jun 2019
Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914 Rocco Tripodi M. Warglien S. Sullam Deborah Paci LLMSV 6 20 0 04 Jun 2019
Evaluating Gender Bias in Machine Translation Gabriel Stanovsky Noah A. Smith Luke Zettlemoyer 19 393 0 03 Jun 2019
Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function Yusu Qian Urwa Muaz Ben Zhang J. Hyun FaML 19 96 0 30 May 2019