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Mitigating Gender Bias in Natural Language Processing: Literature Review

Mitigating Gender Bias in Natural Language Processing: Literature Review

21 June 2019
Tony Sun
Andrew Gaut
Shirlyn Tang
Yuxin Huang
Mai Elsherief
Jieyu Zhao
Diba Mirza
E. Belding-Royer
Kai-Wei Chang
William Yang Wang
    AI4CE
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Papers citing "Mitigating Gender Bias in Natural Language Processing: Literature Review"

50 / 278 papers shown
Title
Measuring Sentiment Bias in Machine Translation
Measuring Sentiment Bias in Machine Translation
Kai Hartung
Aaricia Herygers
Shubham Kurlekar
Khabbab Zakaria
Taylan Volkan
Sören Gröttrup
Munir Georges
AI4CE
20
5
0
12 Jun 2023
Good, but not always Fair: An Evaluation of Gender Bias for three
  commercial Machine Translation Systems
Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems
Silvia Alma Piazzolla
Beatrice Savoldi
L. Bentivogli
33
2
0
09 Jun 2023
Taught by the Internet, Exploring Bias in OpenAIs GPT3
Taught by the Internet, Exploring Bias in OpenAIs GPT3
Ali Ayaz
Aditya Nawalgaria
Ruilian Yin
18
0
0
04 Jun 2023
Examining risks of racial biases in NLP tools for child protective
  services
Examining risks of racial biases in NLP tools for child protective services
Anjalie Field
Amanda Coston
Nupoor Gandhi
Alexandra Chouldechova
Emily Putnam-Hornstein
David Steier
Yulia Tsvetkov
47
13
0
30 May 2023
infoVerse: A Universal Framework for Dataset Characterization with
  Multidimensional Meta-information
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
Jaehyung Kim
Yekyung Kim
Karin de Langis
Jinwoo Shin
Dongyeop Kang
17
1
0
30 May 2023
Finspector: A Human-Centered Visual Inspection Tool for Exploring and
  Comparing Biases among Foundation Models
Finspector: A Human-Centered Visual Inspection Tool for Exploring and Comparing Biases among Foundation Models
Bum Chul Kwon
Nandana Mihindukulasooriya
VLM
34
5
0
26 May 2023
Controlling Learned Effects to Reduce Spurious Correlations in Text
  Classifiers
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
Parikshit Bansal
Amit Sharma
CML
26
5
0
26 May 2023
On Degrees of Freedom in Defining and Testing Natural Language
  Understanding
On Degrees of Freedom in Defining and Testing Natural Language Understanding
Saku Sugawara
S. Tsugita
ELM
34
1
0
24 May 2023
Should We Attend More or Less? Modulating Attention for Fairness
Should We Attend More or Less? Modulating Attention for Fairness
A. Zayed
Gonçalo Mordido
Samira Shabanian
Sarath Chandar
37
10
0
22 May 2023
In the Name of Fairness: Assessing the Bias in Clinical Record
  De-identification
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
Yuxin Xiao
S. Lim
Tom Pollard
Marzyeh Ghassemi
26
12
0
18 May 2023
Comparing Biases and the Impact of Multilingual Training across Multiple
  Languages
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Sharon Levy
Neha Ann John
Ling Liu
Yogarshi Vyas
Jie Ma
Yoshinari Fujinuma
Miguel Ballesteros
Vittorio Castelli
Dan Roth
26
26
0
18 May 2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning
  for Repairing Model Outputs
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
Afra Feyza Akyürek
Ekin Akyürek
Aman Madaan
Ashwin Kalyan
Peter Clark
Derry Wijaya
Niket Tandon
ALM
KELM
44
86
0
15 May 2023
From Pretraining Data to Language Models to Downstream Tasks: Tracking
  the Trails of Political Biases Leading to Unfair NLP Models
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Shangbin Feng
Chan Young Park
Yuhan Liu
Yulia Tsvetkov
24
228
0
15 May 2023
"I'm" Lost in Translation: Pronoun Missteps in Crowdsourced Data Sets
"I'm" Lost in Translation: Pronoun Missteps in Crowdsourced Data Sets
Katie Seaborn
Yeongdae Kim
16
6
0
22 Apr 2023
Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts
Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts
Katie Seaborn
Shruti Chandra
Thibault Fabre
23
11
0
22 Apr 2023
On the Independence of Association Bias and Empirical Fairness in
  Language Models
On the Independence of Association Bias and Empirical Fairness in Language Models
Laura Cabello
Anna Katrine van Zee
Anders Søgaard
26
26
0
20 Apr 2023
Measuring Gender Bias in West Slavic Language Models
Measuring Gender Bias in West Slavic Language Models
Sandra Martinková
Karolina Stañczak
Isabelle Augenstein
21
8
0
12 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language
  Models
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
Emilio Ferrara
SILM
36
247
0
07 Apr 2023
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for
  Mobile and Wearable Computing
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing
Sofia Yfantidou
Marios Constantinides
Dimitris Spathis
Athena Vakali
Daniele Quercia
F. Kawsar
HAI
FaML
28
18
0
27 Mar 2023
Fairness in Language Models Beyond English: Gaps and Challenges
Fairness in Language Models Beyond English: Gaps and Challenges
Krithika Ramesh
Sunayana Sitaram
Monojit Choudhury
32
23
0
24 Feb 2023
In What Languages are Generative Language Models the Most Formal?
  Analyzing Formality Distribution across Languages
In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages
Asim Ersoy
Gerson Vizcarra
T. Mayeesha
Benjamin Muller
28
2
0
23 Feb 2023
Rethinking "Risk" in Algorithmic Systems Through A Computational
  Narrative Analysis of Casenotes in Child-Welfare
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
Devansh Saxena
Erin Moon
Aryan Chaurasia
Yixin Guan
Shion Guha
27
26
0
16 Feb 2023
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous
  Pronouns
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns
Zhongbin Xie
Vid Kocijan
Thomas Lukasiewicz
Oana-Maria Camburu
10
2
0
11 Feb 2023
A Systematic Literature Review of Human-Centered, Ethical, and
  Responsible AI
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI
Mohammad Tahaei
Marios Constantinides
Daniele Quercia
Michael J. Muller
AI4TS
54
8
0
10 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of
  "Artificial Intelligence as a Service"
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki
M. S. Lee
Jennifer Cobbe
Jatinder Singh
31
21
0
02 Feb 2023
Debiasing Vision-Language Models via Biased Prompts
Debiasing Vision-Language Models via Biased Prompts
Ching-Yao Chuang
Varun Jampani
Yuanzhen Li
Antonio Torralba
Stefanie Jegelka
VLM
30
97
0
31 Jan 2023
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI
Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI
Lorena Piedras
Lucas Rosenblatt
Julia Wilkins
37
9
0
05 Jan 2023
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation
Ge Zhang
Yizhi Li
Yaoyao Wu
Linyuan Zhang
Chenghua Lin
Jiayi Geng
Shi Wang
Jie Fu
29
10
0
01 Jan 2023
Assessing the Impact of Sequence Length Learning on Classification Tasks
  for Transformer Encoder Models
Assessing the Impact of Sequence Length Learning on Classification Tasks for Transformer Encoder Models
Jean-Thomas Baillargeon
Luc Lamontagne
35
1
0
16 Dec 2022
An Analysis of Social Biases Present in BERT Variants Across Multiple
  Languages
An Analysis of Social Biases Present in BERT Variants Across Multiple Languages
Aristides Milios
Parishad BehnamGhader
20
8
0
25 Nov 2022
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at
  A Large Scale
A Moral- and Event- Centric Inspection of Gender Bias in Fairy Tales at A Large Scale
Zhixuan Zhou
Jiao Sun
Jiaxin Pei
Nanyun Peng
Jinjun Xiong
38
6
0
25 Nov 2022
Undesirable Biases in NLP: Addressing Challenges of Measurement
Undesirable Biases in NLP: Addressing Challenges of Measurement
Oskar van der Wal
Dominik Bachmann
Alina Leidinger
L. Maanen
Willem H. Zuidema
K. Schulz
22
6
0
24 Nov 2022
Professional Presentation and Projected Power: A Case Study of Implicit
  Gender Information in English CVs
Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs
Jinrui Yang
Sheilla Njoto
M. Cheong
Leah Ruppanner
Lea Frermann
6
4
0
17 Nov 2022
Hey ASR System! Why Aren't You More Inclusive? Automatic Speech
  Recognition Systems' Bias and Proposed Bias Mitigation Techniques. A
  Literature Review
Hey ASR System! Why Aren't You More Inclusive? Automatic Speech Recognition Systems' Bias and Proposed Bias Mitigation Techniques. A Literature Review
Mikel K. Ngueajio
Gloria J. Washington
34
35
0
17 Nov 2022
Mind Your Bias: A Critical Review of Bias Detection Methods for
  Contextual Language Models
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models
Silke Husse
Andreas Spitz
22
6
0
15 Nov 2022
Casual Conversations v2: Designing a large consent-driven dataset to
  measure algorithmic bias and robustness
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
C. Hazirbas
Yejin Bang
Tiezheng Yu
Parisa Assar
Bilal Porgali
...
Jacqueline Pan
Emily McReynolds
Miranda Bogen
Pascale Fung
Cristian Canton Ferrer
29
8
0
10 Nov 2022
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in
  Diffusion Models
Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
P. Schramowski
Manuel Brack
Bjorn Deiseroth
Kristian Kersting
39
272
0
09 Nov 2022
Bridging Fairness and Environmental Sustainability in Natural Language
  Processing
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Marius Hessenthaler
Emma Strubell
Dirk Hovy
Anne Lauscher
24
8
0
08 Nov 2022
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language
  Models
HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models
Yizhi Li
Ge Zhang
Bohao Yang
Chenghua Lin
Shi Wang
Anton Ragni
Jie Fu
22
9
0
05 Nov 2022
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating
  Gender Accuracy in Machine Translation
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
Anna Currey
Maria Nadejde
R. Pappagari
Mia C. Mayer
Stanislas Lauly
Xing Niu
B. Hsu
Georgiana Dinu
25
31
0
02 Nov 2022
The Shared Task on Gender Rewriting
The Shared Task on Gender Rewriting
Bashar Alhafni
Nizar Habash
Houda Bouamor
Ossama Obeid
Sultan Alrowili
...
Mohamed Gabr
Abderrahmane Issam
Abdelrahim Qaddoumi
K. Vijay-Shanker
Mahmoud Zyate
34
1
0
22 Oct 2022
Choose Your Lenses: Flaws in Gender Bias Evaluation
Choose Your Lenses: Flaws in Gender Bias Evaluation
Hadas Orgad
Yonatan Belinkov
27
35
0
20 Oct 2022
Language Generation Models Can Cause Harm: So What Can We Do About It?
  An Actionable Survey
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
Sachin Kumar
Vidhisha Balachandran
Lucille Njoo
Antonios Anastasopoulos
Yulia Tsvetkov
ELM
77
85
0
14 Oct 2022
The User-Aware Arabic Gender Rewriter
The User-Aware Arabic Gender Rewriter
Bashar Alhafni
Ossama Obeid
Nizar Habash
29
2
0
14 Oct 2022
Controlling Bias Exposure for Fair Interpretable Predictions
Controlling Bias Exposure for Fair Interpretable Predictions
Zexue He
Yu-Xiang Wang
Julian McAuley
Bodhisattwa Prasad Majumder
27
19
0
14 Oct 2022
Differential Bias: On the Perceptibility of Stance Imbalance in
  Argumentation
Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation
Alonso Palomino
Martin Potthast
Khalid Al Khatib
Benno Stein
14
3
0
13 Oct 2022
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
Sourya Basu
P. Sattigeri
K. Ramamurthy
Vijil Chenthamarakshan
Kush R. Varshney
L. Varshney
Payel Das
16
18
0
13 Oct 2022
Extracting or Guessing? Improving Faithfulness of Event Temporal
  Relation Extraction
Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction
Haoyu Wang
Hongming Zhang
Yuqian Deng
Jacob R. Gardner
Dan Roth
Muhao Chen
30
19
0
10 Oct 2022
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
The Lifecycle of "Facts": A Survey of Social Bias in Knowledge Graphs
Angelie Kraft
Ricardo Usbeck
KELM
32
9
0
07 Oct 2022
Re-contextualizing Fairness in NLP: The Case of India
Re-contextualizing Fairness in NLP: The Case of India
Shaily Bhatt
Sunipa Dev
Partha P. Talukdar
Shachi Dave
Vinodkumar Prabhakaran
24
54
0
25 Sep 2022
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