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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
Hope Speech detection in under-resourced Kannada language
Hope Speech detection in under-resourced Kannada language
Adeep Hande
R. Priyadharshini
Anbukkarasi Sampath
K. Thamburaj
Prabakaran Chandran
Bharathi Raja Chakravarthi
16
28
0
10 Aug 2021
On Measures of Biases and Harms in NLP
On Measures of Biases and Harms in NLP
Sunipa Dev
Emily Sheng
Jieyu Zhao
Aubrie Amstutz
Jiao Sun
...
M. Sanseverino
Jiin Kim
Akihiro Nishi
Nanyun Peng
Kai-Wei Chang
31
80
0
07 Aug 2021
Your fairness may vary: Pretrained language model fairness in toxic text
  classification
Your fairness may vary: Pretrained language model fairness in toxic text classification
Ioana Baldini
Dennis L. Wei
K. Ramamurthy
Mikhail Yurochkin
Moninder Singh
26
53
0
03 Aug 2021
Interactive Storytelling for Children: A Case-study of Design and
  Development Considerations for Ethical Conversational AI
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI
J. Chubb
S. Missaoui
S. Concannon
Liam Maloney
James Alfred Walker
13
29
0
20 Jul 2021
Intersectional Bias in Causal Language Models
Intersectional Bias in Causal Language Models
Liam Magee
Lida Ghahremanlou
K. Soldatić
S. Robertson
191
31
0
16 Jul 2021
Quantifying Social Biases in NLP: A Generalization and Empirical
  Comparison of Extrinsic Fairness Metrics
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics
Paula Czarnowska
Yogarshi Vyas
Kashif Shah
21
104
0
28 Jun 2021
Towards Understanding and Mitigating Social Biases in Language Models
Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang
Chiyu Wu
Louis-Philippe Morency
Ruslan Salakhutdinov
36
380
0
24 Jun 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
36
122
0
21 Jun 2021
Does Robustness Improve Fairness? Approaching Fairness with Word
  Substitution Robustness Methods for Text Classification
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
Yada Pruksachatkun
Satyapriya Krishna
Jwala Dhamala
Rahul Gupta
Kai-Wei Chang
14
32
0
21 Jun 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of
  Conversational Language Models
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Soumya Barikeri
Anne Lauscher
Ivan Vulić
Goran Glavas
45
178
0
07 Jun 2021
Towards Equal Gender Representation in the Annotations of Toxic Language
  Detection
Towards Equal Gender Representation in the Annotations of Toxic Language Detection
Elizabeth Excell
Noura Al Moubayed
19
14
0
04 Jun 2021
Ethical-Advice Taker: Do Language Models Understand Natural Language
  Interventions?
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
Jieyu Zhao
Daniel Khashabi
Tushar Khot
Ashish Sabharwal
Kai-Wei Chang
KELM
18
49
0
02 Jun 2021
Changing the World by Changing the Data
Changing the World by Changing the Data
Anna Rogers
16
71
0
28 May 2021
How to Split: the Effect of Word Segmentation on Gender Bias in Speech
  Translation
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation
Marco Gaido
Beatrice Savoldi
L. Bentivogli
Matteo Negri
Marco Turchi
65
15
0
28 May 2021
Metadata Normalization
Metadata Normalization
Mandy Lu
Qingyu Zhao
Jiequan Zhang
K. Pohl
L. Fei-Fei
Juan Carlos Niebles
Ehsan Adeli
17
20
0
19 Apr 2021
Human-Imitating Metrics for Training and Evaluating Privacy Preserving
  Emotion Recognition Models Using Sociolinguistic Knowledge
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge
Mimansa Jaiswal
E. Provost
31
0
0
18 Apr 2021
Improving Gender Translation Accuracy with Filtered Self-Training
Improving Gender Translation Accuracy with Filtered Self-Training
Prafulla Kumar Choubey
Anna Currey
Prashant Mathur
Georgiana Dinu
15
10
0
15 Apr 2021
First the worst: Finding better gender translations during beam search
First the worst: Finding better gender translations during beam search
D. Saunders
Rosie Sallis
Bill Byrne
22
27
0
15 Apr 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine
  Translation: A Survey
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey
Danielle Saunders
AI4CE
25
85
0
14 Apr 2021
Gender Bias in Machine Translation
Gender Bias in Machine Translation
Beatrice Savoldi
Marco Gaido
L. Bentivogli
Matteo Negri
Marco Turchi
64
192
0
13 Apr 2021
Semantic maps and metrics for science Semantic maps and metrics for
  science using deep transformer encoders
Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders
Brendan Chambers
James A. Evans
MedIm
13
0
0
13 Apr 2021
HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans
  Detection
HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection
Rafel Palliser
Albert Rial
6
6
0
01 Apr 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers
Dheeraj Rajagopal
Vidhisha Balachandran
Eduard H. Hovy
Yulia Tsvetkov
MILM
SSL
FAtt
AI4TS
19
65
0
23 Mar 2021
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense
  Knowledge Resources
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources
Ninareh Mehrabi
Pei Zhou
Fred Morstatter
Jay Pujara
Xiang Ren
Aram Galstyan
AILaw
13
44
0
21 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is
  Right and Wrong to Do
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
P. Schramowski
Cigdem Turan
Nico Andersen
Constantin Rothkopf
Kristian Kersting
33
281
0
08 Mar 2021
Exploring a Makeup Support System for Transgender Passing based on
  Automatic Gender Recognition
Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition
T. Chong
Nolwenn Maudet
Katsuki Harima
Takeo Igarashi
11
15
0
08 Mar 2021
They, Them, Theirs: Rewriting with Gender-Neutral English
They, Them, Theirs: Rewriting with Gender-Neutral English
Tony Sun
Kellie Webster
Apurva Shah
William Yang Wang
Melvin Johnson
19
59
0
12 Feb 2021
Machine Translationese: Effects of Algorithmic Bias on Linguistic
  Complexity in Machine Translation
Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation
Eva Vanmassenhove
D. Shterionov
M. Gwilliam
14
94
1
30 Jan 2021
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language
  Generation
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Jwala Dhamala
Tony Sun
Varun Kumar
Satyapriya Krishna
Yada Pruksachatkun
Kai-Wei Chang
Rahul Gupta
16
372
0
27 Jan 2021
Re-imagining Algorithmic Fairness in India and Beyond
Re-imagining Algorithmic Fairness in India and Beyond
Nithya Sambasivan
Erin Arnesen
Ben Hutchinson
Tulsee Doshi
Vinodkumar Prabhakaran
FaML
17
174
0
25 Jan 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and
  Fine-tuned Language Models
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Daniel de Vassimon Manela
D. Errington
Thomas Fisher
B. V. Breugel
Pasquale Minervini
11
88
0
24 Jan 2021
Censorship of Online Encyclopedias: Implications for NLP Models
Censorship of Online Encyclopedias: Implications for NLP Models
Eddie Yang
Margaret E. Roberts
21
16
0
22 Jan 2021
Understanding the Tradeoffs in Client-side Privacy for Downstream Speech
  Tasks
Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks
Peter Wu
Paul Pu Liang
Jiatong Shi
Ruslan Salakhutdinov
Shinji Watanabe
Louis-Philippe Morency
26
8
0
22 Jan 2021
Investigating Memorization of Conspiracy Theories in Text Generation
Investigating Memorization of Conspiracy Theories in Text Generation
Sharon Levy
Michael Stephen Saxon
Luu Anh Tuan
11
18
0
02 Jan 2021
Breeding Gender-aware Direct Speech Translation Systems
Breeding Gender-aware Direct Speech Translation Systems
Marco Gaido
Beatrice Savoldi
L. Bentivogli
Matteo Negri
Marco Turchi
40
20
0
09 Dec 2020
Removing Spurious Features can Hurt Accuracy and Affect Groups
  Disproportionately
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately
Fereshte Khani
Percy Liang
FaML
13
65
0
07 Dec 2020
The Geometry of Distributed Representations for Better Alignment,
  Attenuated Bias, and Improved Interpretability
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability
Sunipa Dev
29
1
0
25 Nov 2020
Unequal Representations: Analyzing Intersectional Biases in Word
  Embeddings Using Representational Similarity Analysis
Unequal Representations: Analyzing Intersectional Biases in Word Embeddings Using Representational Similarity Analysis
Michael A. Lepori
40
12
0
24 Nov 2020
Argument from Old Man's View: Assessing Social Bias in Argumentation
Argument from Old Man's View: Assessing Social Bias in Argumentation
Maximilian Spliethover
Henning Wachsmuth
6
20
0
24 Nov 2020
Automatic Detection of Machine Generated Text: A Critical Survey
Automatic Detection of Machine Generated Text: A Critical Survey
Ganesh Jawahar
Muhammad Abdul-Mageed
L. Lakshmanan
DeLMO
11
229
0
02 Nov 2020
Evaluating Bias In Dutch Word Embeddings
Evaluating Bias In Dutch Word Embeddings
Rodrigo Alejandro Chávez Mulsa
Gerasimos Spanakis
18
20
0
31 Oct 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender
  Bias
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias
Marion Bartl
Malvina Nissim
Albert Gatt
22
123
0
27 Oct 2020
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and
  Goals of Human Trust in AI
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI
Alon Jacovi
Ana Marasović
Tim Miller
Yoav Goldberg
255
426
0
15 Oct 2020
Neural Machine Translation Doesn't Translate Gender Coreference Right
  Unless You Make It
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It
Danielle Saunders
Rosie Sallis
Bill Byrne
19
63
0
11 Oct 2020
Case Study: Deontological Ethics in NLP
Case Study: Deontological Ethics in NLP
Shrimai Prabhumoye
Brendon Boldt
Ruslan Salakhutdinov
A. Black
AILaw
16
27
0
09 Oct 2020
Astraea: Grammar-based Fairness Testing
Astraea: Grammar-based Fairness Testing
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
26
27
0
06 Oct 2020
UnQovering Stereotyping Biases via Underspecified Questions
UnQovering Stereotyping Biases via Underspecified Questions
Tao Li
Tushar Khot
Daniel Khashabi
Ashish Sabharwal
Vivek Srikumar
17
131
0
06 Oct 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A Survey
Simon Caton
C. Haas
FaML
32
615
0
04 Oct 2020
Differentially Private Representation for NLP: Formal Guarantee and An
  Empirical Study on Privacy and Fairness
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
Lingjuan Lyu
Xuanli He
Yitong Li
35
89
0
03 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge
  Masking
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
M. Schlichtkrull
Nicola De Cao
Ivan Titov
AI4CE
36
214
0
01 Oct 2020
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