Theories of "Gender" in NLP Bias Research

5 May 2022

Papers citing "Theories of "Gender" in NLP Bias Research"

50 / 117 papers shown

Title
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 96 217 0 08 Nov 2019
Assessing Social and Intersectional Biases in Contextualized Word Representations Y. Tan Elisa Celis FaML 105 229 0 04 Nov 2019
On the Unintended Social Bias of Training Language Generation Models with Data from Local Media Omar U. Florez 45 5 0 01 Nov 2019
Probabilistic Bias Mitigation in Word Embeddings Hailey James David Alvarez-Melis 34 4 0 31 Oct 2019
Toward Gender-Inclusive Coreference Resolution Yang Trista Cao Hal Daumé 91 145 0 30 Oct 2019
Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition Ninareh Mehrabi Thamme Gowda Fred Morstatter Nanyun Peng Aram Galstyan 90 58 0 24 Oct 2019
Does Gender Matter? Towards Fairness in Dialogue Systems Haochen Liu Jamell Dacon Wenqi Fan Hui Liu Zitao Liu Jiliang Tang 142 144 0 16 Oct 2019
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection Ameya Vaidya Feng Mai Yue Ning 158 21 0 21 Sep 2019
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment Jaap Jumelet Willem H. Zuidema Dieuwke Hupkes LRM 68 37 0 19 Sep 2019
A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces Anne Lauscher Goran Glavaš Simone Paolo Ponzetto Ivan Vulić 80 64 0 13 Sep 2019
Getting Gender Right in Neural Machine Translation Eva Vanmassenhove Christian Hardmeier Andy Way 85 197 0 11 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 67 106 0 05 Sep 2019
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 290 649 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 64 172 0 02 Sep 2019
(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas Dongyeop Kang Varun Gangal Eduard H. Hovy 85 17 0 31 Aug 2019
Automatically Inferring Gender Associations from Language Serina Chang Kathleen McKeown FaML 44 11 0 30 Aug 2019
On Measuring and Mitigating Biased Inferences of Word Embeddings Sunipa Dev Tao Li J. M. Phillips Vivek Srikumar 81 174 0 25 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 578 4,391 0 23 Aug 2019
Understanding Undesirable Word Embedding Associations Kawin Ethayarajh David Duvenaud Graeme Hirst FaML 49 125 0 18 Aug 2019
Debiasing Embeddings for Reduced Gender Bias in Text Classification Flavien Prost Nithum Thain Tolga Bolukbasi FaML 63 50 0 07 Aug 2019
MSnet: A BERT-based Network for Gendered Pronoun Resolution Zili Wang 47 4 0 01 Aug 2019
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis J. Bhaskaran Isha Bhallamudi 66 47 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 108 563 0 21 Jun 2019
Considerations for the Interpretation of Bias Measures of Word Embeddings I. Mirzaev Anthony Schulte Michael D. Conover Sam Shah 47 3 0 19 Jun 2019
Measuring Bias in Contextualized Word Representations Keita Kurita Nidhi Vyas Ayush Pareek A. Black Yulia Tsvetkov 116 453 0 18 Jun 2019
Conceptor Debiasing of Word Representations Evaluated on WEAT S. Karve Lyle Ungar João Sedoc FaML 56 34 0 14 Jun 2019
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling Alexander Miserlis Hoyle Lawrence Wolf-Sonkin Hanna M. Wallach Isabelle Augenstein Ryan Cotterell 66 52 0 11 Jun 2019
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology Ran Zmigrod Sabrina J. Mielke Hanna M. Wallach Ryan Cotterell 84 283 0 11 Jun 2019
Gendered Pronoun Resolution using BERT and an extractive question answering formulation Rakesh Chada FaML 52 10 0 09 Jun 2019
Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling Sandeep Attree 36 14 0 03 Jun 2019
Gender-preserving Debiasing for Pre-trained Word Embeddings Masahiro Kaneko Danushka Bollegala FaML 52 131 0 03 Jun 2019
Resolving Gendered Ambiguous Pronouns with BERT Kellie Webster Marta Recasens Ken Krige Vera Axelrod Denis Logvinenko Jason Baldridge 81 54 0 03 Jun 2019
Evaluating Gender Bias in Machine Translation Gabriel Stanovsky Noah A. Smith Luke Zettlemoyer 95 406 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 85 96 0 30 May 2019
On Measuring Gender Bias in Translation of Gender-neutral Pronouns Won Ik Cho Jiwon Kim Seokhwan Kim N. Kim 68 88 0 28 May 2019
Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor Malvina Nissim Rik van Noord Rob van der Goot FaML 76 103 0 23 May 2019
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution Yinchuan Xu Junlin Yang GNN 58 21 0 21 May 2019
Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge Bo Liu 54 8 0 06 May 2019
Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors Anne Lauscher Goran Glavaš 91 55 0 26 Apr 2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings Christine Basta Marta R. Costa-jussá Noe Casas 64 194 0 18 Apr 2019
What's in a Name? Reducing Bias in Bios without Access to Protected Attributes Alexey Romanov Maria De-Arteaga Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Anna Rumshisky Adam Tauman Kalai 59 81 0 10 Apr 2019
Gender Bias in Contextualized Word Embeddings Jieyu Zhao Tianlu Wang Mark Yatskar Ryan Cotterell Vicente Ordonez Kai-Wei Chang FaML 123 421 0 05 Apr 2019
Identifying and Reducing Gender Bias in Word-Level Language Models Shikha Bordia Samuel R. Bowman FaML 126 329 0 05 Apr 2019
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings Thomas Manzini Y. Lim Yulia Tsvetkov A. Black FaML 99 308 0 03 Apr 2019
On Measuring Social Biases in Sentence Encoders Chandler May Alex Jinpeng Wang Shikha Bordia Samuel R. Bowman Rachel Rudinger 108 607 0 25 Mar 2019
Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them Hila Gonen Yoav Goldberg 118 571 0 09 Mar 2019
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting Maria De-Arteaga Alexey Romanov Hanna M. Wallach J. Chayes C. Borgs Alexandra Chouldechova S. Geyik K. Kenthapadi Adam Tauman Kalai 202 462 0 27 Jan 2019
Attenuating Bias in Word Vectors Sunipa Dev J. M. Phillips FaML 74 151 0 23 Jan 2019
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques Joel Escudé Font Marta R. Costa-jussá 79 170 0 10 Jan 2019
What are the biases in my word embedding? Nathaniel Swinger Maria De-Arteaga IV NeilThomasHeffernan Mark D. M. Leiserson Adam Tauman Kalai 60 104 0 20 Dec 2018