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1906.00742
Cited By
Gender-preserving Debiasing for Pre-trained Word Embeddings
3 June 2019
Masahiro Kaneko
Danushka Bollegala
FaML
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Papers citing
"Gender-preserving Debiasing for Pre-trained Word Embeddings"
50 / 73 papers shown
Title
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A Study on Bias Detection and Classification in Natural Language Processing
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Luísa Coheur
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Do they mean ús'? Interpreting Referring Expressions in Intergroup Bias
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Matianyu Zang
Kyle Mahowald
David Beaver
Junyi Jessy Li
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The Life Cycle of Large Language Models: A Review of Biases in Education
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Yann Hicke
Renzhe Yu
Christopher A. Brooks
René F. Kizilcec
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03 Jun 2024
A Comprehensive Analysis of Static Word Embeddings for Turkish
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Cahid Arda Öz
Tunga Güngör
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Algorithmic Fairness: A Tolerance Perspective
Renqiang Luo
Tao Tang
Xiwei Xu
Jiaying Liu
Chengpei Xu
Leo Yu Zhang
Wei Xiang
Chengqi Zhang
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99
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0
26 Apr 2024
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
Jiajun Zhang
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
58
1
0
29 Feb 2024
Measuring Machine Learning Harms from Stereotypes Requires Understanding Who Is Harmed by Which Errors in What Ways
Angelina Wang
Xuechunzi Bai
Solon Barocas
Su Lin Blodgett
FaML
85
5
0
06 Feb 2024
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
Timothy Baldwin
LRM
76
33
0
28 Jan 2024
The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing
Masahiro Kaneko
Danushka Bollegala
Timothy Baldwin
69
3
0
16 Jan 2024
Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads
Yi Yang
Hanyu Duan
Ahmed Abbasi
John P. Lalor
Kar Yan Tam
39
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0
17 Nov 2023
Divide et Impera: Multi-Transformer Architectures for Complex NLP-Tasks
Solveig Helland
Elena Gavagnin
Alexandre de Spindler
57
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25 Oct 2023
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Yi Zhou
Jose Camacho-Collados
Danushka Bollegala
146
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19 Oct 2023
Survey of Social Bias in Vision-Language Models
Nayeon Lee
Yejin Bang
Holy Lovenia
Samuel Cahyawijaya
Wenliang Dai
Pascale Fung
VLM
123
18
0
24 Sep 2023
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
Danushka Bollegala
Shuichi Otake
T. Machide
Ken-ichi Kawarabayashi
136
4
0
19 Sep 2023
In-Contextual Gender Bias Suppression for Large Language Models
Daisuke Oba
Masahiro Kaneko
Danushka Bollegala
86
9
0
13 Sep 2023
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models
Somayeh Ghanbarzadeh
Yan-ping Huang
Hamid Palangi
R. C. Moreno
Hamed Khanpour
68
12
0
20 Jul 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
86
23
0
13 Jun 2023
Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias
Venkata S Govindarajan
Kyle Mahowald
David Beaver
Junjie Li
51
2
0
25 May 2023
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach
Masahiro Kaneko
Graham Neubig
Naoaki Okazaki
103
6
0
19 May 2023
Comparing Intrinsic Gender Bias Evaluation Measures without using Human Annotated Examples
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
60
10
0
28 Jan 2023
The effects of gender bias in word embeddings on depression prediction
Gizem Sogancioglu
Heysem Kaya
53
3
0
15 Dec 2022
ADEPT: A DEbiasing PrompT Framework
Ke Yang
Charles Yu
Yi R. Fung
Manling Li
Heng Ji
120
27
0
10 Nov 2022
Choose Your Lenses: Flaws in Gender Bias Evaluation
Hadas Orgad
Yonatan Belinkov
80
37
0
20 Oct 2022
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
98
46
0
06 Oct 2022
How people talk about each other: Modeling Generalized Intergroup Bias and Emotion
Venkata S Govindarajan
Katherine Atwell
Barea M. Sinno
Malihe Alikhani
David Beaver
Junjie Li
32
5
0
14 Sep 2022
Gender Biases and Where to Find Them: Exploring Gender Bias in Pre-Trained Transformer-based Language Models Using Movement Pruning
Przemyslaw K. Joniak
Akiko Aizawa
37
28
0
06 Jul 2022
Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information
Tomasz Limisiewicz
David Marecek
46
18
0
21 Jun 2022
Evaluating the Diversity, Equity and Inclusion of NLP Technology: A Case Study for Indian Languages
Simran Khanuja
Sebastian Ruder
Partha P. Talukdar
130
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25 May 2022
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng
Suyu Ge
Huan Liu
62
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How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Samuel Sousa
Roman Kern
PILM
AILaw
71
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0
20 May 2022
Gender Bias in Meta-Embeddings
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
69
6
0
19 May 2022
Theories of "Gender" in NLP Bias Research
Hannah Devinney
Jenny Björklund
H. Björklund
AI4CE
106
76
0
05 May 2022
Gender Bias in Masked Language Models for Multiple Languages
Masahiro Kaneko
Aizhan Imankulova
Danushka Bollegala
Naoaki Okazaki
108
64
0
01 May 2022
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
Danushka Bollegala
SSL
80
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26 Apr 2022
A Survey on Word Meta-Embedding Learning
Danushka Bollegala
James OÑeill
58
12
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Generalizing to the Future: Mitigating Entity Bias in Fake News Detection
Yongchun Zhu
Qiang Sheng
Juan Cao
Shuokai Li
Danding Wang
Fuzhen Zhuang
AI4CE
65
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You Are What You Write: Preserving Privacy in the Era of Large Language Models
Richard Plant
V. Giuffrida
Dimitra Gkatzia
PILM
94
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20 Apr 2022
Combining Static and Contextualised Multilingual Embeddings
Katharina Hämmerl
Jindrich Libovický
Alexander Fraser
65
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17 Mar 2022
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings
Yi Zhou
Masahiro Kaneko
Danushka Bollegala
68
23
0
14 Mar 2022
A Survey on Gender Bias in Natural Language Processing
Karolina Stañczak
Isabelle Augenstein
88
117
0
28 Dec 2021
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amilcar Soares
Franccois Théberge
62
4
0
13 Dec 2021
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving
Lei Ding
Dengdeng Yu
Jinhan Xie
Wenxing Guo
Shenggang Hu
Meichen Liu
Linglong Kong
Hongsheng Dai
Yanchun Bao
Bei Jiang
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118
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0
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Deep Learning for Bias Detection: From Inception to Deployment
M. A. Bashar
R. Nayak
Anjor Kothare
Vishal Sharma
Kesavan Kandadai
61
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Marked Attribute Bias in Natural Language Inference
Hillary Dawkins
102
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Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings
Vaibhav Kumar
Tenzin Singhay Bhotia
Vaibhav Kumar
Tanmoy Chakraborty
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136
3
0
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On the Universality of Deep Contextual Language Models
Shaily Bhatt
Poonam Goyal
Sandipan Dandapat
Monojit Choudhury
Sunayana Sitaram
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Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
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Taylor Berg-Kirkpatrick
127
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Intersectional Bias in Causal Language Models
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Lida Ghahremanlou
K. Soldatić
S. Robertson
219
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