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Gender-preserving Debiasing for Pre-trained Word Embeddings

Gender-preserving Debiasing for Pre-trained Word Embeddings

3 June 2019
Masahiro Kaneko
Danushka Bollegala
    FaML
ArXiv (abs)PDFHTML

Papers citing "Gender-preserving Debiasing for Pre-trained Word Embeddings"

50 / 73 papers shown
Title
Bias Vector: Mitigating Biases in Language Models with Task Arithmetic
  Approach
Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach
Daiki Shirafuji
Makoto Takenaka
Shinya Taguchi
LLMAG
110
1
0
16 Dec 2024
'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi
  Language Generation by LLMs
'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs
Ishika Joshi
Ishita Gupta
Adrita Dey
Tapan Parikh
AI4CE
58
2
0
20 Sep 2024
A Study on Bias Detection and Classification in Natural Language
  Processing
A Study on Bias Detection and Classification in Natural Language Processing
Ana Sofia Evans
Helena Moniz
Luísa Coheur
57
0
0
14 Aug 2024
Do they mean ús'? Interpreting Referring Expressions in Intergroup Bias
Do they mean ús'? Interpreting Referring Expressions in Intergroup Bias
Venkata S Govindarajan
Matianyu Zang
Kyle Mahowald
David Beaver
Junyi Jessy Li
22
1
0
25 Jun 2024
The Life Cycle of Large Language Models: A Review of Biases in Education
The Life Cycle of Large Language Models: A Review of Biases in Education
Jinsook Lee
Yann Hicke
Renzhe Yu
Christopher A. Brooks
René F. Kizilcec
AI4Ed
94
2
0
03 Jun 2024
A Comprehensive Analysis of Static Word Embeddings for Turkish
A Comprehensive Analysis of Static Word Embeddings for Turkish
Karahan Sarıtaş
Cahid Arda Öz
Tunga Güngör
48
4
0
13 May 2024
Algorithmic Fairness: A Tolerance Perspective
Algorithmic Fairness: A Tolerance Perspective
Renqiang Luo
Tao Tang
Xiwei Xu
Jiaying Liu
Chengpei Xu
Leo Yu Zhang
Wei Xiang
Chengqi Zhang
FaML
99
0
0
26 Apr 2024
Evolving to the Future: Unseen Event Adaptive Fake News Detection on
  Social Media
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
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
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
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
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
8
0
17 Nov 2023
Divide et Impera: Multi-Transformer Architectures for Complex NLP-Tasks
Divide et Impera: Multi-Transformer Architectures for Complex NLP-Tasks
Solveig Helland
Elena Gavagnin
Alexandre de Spindler
57
2
0
25 Oct 2023
A Predictive Factor Analysis of Social Biases and Task-Performance in
  Pretrained Masked Language Models
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Yi Zhou
Jose Camacho-Collados
Danushka Bollegala
146
6
0
19 Oct 2023
Survey of Social Bias in Vision-Language Models
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Evaluating the Diversity, Equity and Inclusion of NLP Technology: A Case Study for Indian Languages
Simran Khanuja
Sebastian Ruder
Partha P. Talukdar
130
20
0
25 May 2022
Toward Understanding Bias Correlations for Mitigation in NLP
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng
Suyu Ge
Huan Liu
62
9
0
24 May 2022
How to keep text private? A systematic review of deep learning methods
  for privacy-preserving natural language processing
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Samuel Sousa
Roman Kern
PILMAILaw
71
46
0
20 May 2022
Gender Bias in Meta-Embeddings
Gender Bias in Meta-Embeddings
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
69
6
0
19 May 2022
Theories of "Gender" in NLP Bias Research
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
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
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
Danushka Bollegala
SSL
80
4
0
26 Apr 2022
A Survey on Word Meta-Embedding Learning
A Survey on Word Meta-Embedding Learning
Danushka Bollegala
James OÑeill
58
12
0
25 Apr 2022
Generalizing to the Future: Mitigating Entity Bias in Fake News
  Detection
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
76
0
20 Apr 2022
You Are What You Write: Preserving Privacy in the Era of Large Language
  Models
You Are What You Write: Preserving Privacy in the Era of Large Language Models
Richard Plant
V. Giuffrida
Dimitra Gkatzia
PILM
94
19
0
20 Apr 2022
Combining Static and Contextualised Multilingual Embeddings
Combining Static and Contextualised Multilingual Embeddings
Katharina Hämmerl
Jindrich Libovický
Alexander Fraser
65
11
0
17 Mar 2022
Sense Embeddings are also Biased--Evaluating Social Biases in Static and
  Contextualised Sense Embeddings
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
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
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
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
FaML
118
30
0
09 Dec 2021
Deep Learning for Bias Detection: From Inception to Deployment
Deep Learning for Bias Detection: From Inception to Deployment
M. A. Bashar
R. Nayak
Anjor Kothare
Vishal Sharma
Kesavan Kandadai
61
2
0
12 Oct 2021
Marked Attribute Bias in Natural Language Inference
Marked Attribute Bias in Natural Language Inference
Hillary Dawkins
102
8
0
28 Sep 2021
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings
Identifying and Mitigating Gender Bias in Hyperbolic Word Embeddings
Vaibhav Kumar
Tenzin Singhay Bhotia
Vaibhav Kumar
Tanmoy Chakraborty
FaML
136
3
0
28 Sep 2021
On the Universality of Deep Contextual Language Models
On the Universality of Deep Contextual Language Models
Shaily Bhatt
Poonam Goyal
Sandipan Dandapat
Monojit Choudhury
Sunayana Sitaram
ELM
57
5
0
15 Sep 2021
Style Pooling: Automatic Text Style Obfuscation for Improved
  Classification Fairness
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness
Fatemehsadat Mireshghallah
Taylor Berg-Kirkpatrick
127
13
0
10 Sep 2021
Intersectional Bias in Causal Language Models
Intersectional Bias in Causal Language Models
Liam Magee
Lida Ghahremanlou
K. Soldatić
S. Robertson
219
33
0
16 Jul 2021
12
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