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Theories of "Gender" in NLP Bias Research

Theories of "Gender" in NLP Bias Research

5 May 2022
Hannah Devinney
Jenny Björklund
H. Björklund
    AI4CE
ArXivPDFHTML

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

15 / 15 papers shown
Title
A Deep Learning Approach to Language-independent Gender Prediction on
  Twitter
A Deep Learning Approach to Language-independent Gender Prediction on Twitter
Reyhaneh Hashempour
Barbara Plank
Aline Villavicencio
Renato Cordeiro de Amorim
59
3
0
29 Nov 2024
WinoPron: Revisiting English Winogender Schemas for Consistency,
  Coverage, and Grammatical Case
WinoPron: Revisiting English Winogender Schemas for Consistency, Coverage, and Grammatical Case
Vagrant Gautam
Julius Steuer
Eileen Bingert
Ray Johns
Anne Lauscher
Dietrich Klakow
48
3
0
09 Sep 2024
From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive
  Language for Bias Reduction in LLMs
From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs
Marion Bartl
Susan Leavy
43
8
0
05 Jul 2024
Data Feminism for AI
Data Feminism for AI
Lauren Klein
C. D’Ignazio
43
17
0
02 May 2024
Identifying Fairness Issues in Automatically Generated Testing Content
Identifying Fairness Issues in Automatically Generated Testing Content
Kevin Stowe
Benny Longwill
Alyssa Francis
Tatsuya Aoyama
Debanjan Ghosh
Swapna Somasundaran
46
1
0
23 Apr 2024
NBIAS: A Natural Language Processing Framework for Bias Identification
  in Text
NBIAS: A Natural Language Processing Framework for Bias Identification in Text
Shaina Razaa
Muskan Garg
Deepak John Reji
Syed Raza Bashir
Chen Ding
42
45
0
03 Aug 2023
In-Depth Look at Word Filling Societal Bias Measures
In-Depth Look at Word Filling Societal Bias Measures
Matúš Pikuliak
Ivana Benová
Viktor Bachratý
26
9
0
24 Feb 2023
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm
  Reduction
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction
Renee Shelby
Shalaleh Rismani
Kathryn Henne
AJung Moon
Negar Rostamzadeh
...
N'Mah Yilla-Akbari
Jess Gallegos
A. Smart
Emilio Garcia
Gurleen Virk
36
188
0
11 Oct 2022
"I'm sorry to hear that": Finding New Biases in Language Models with a
  Holistic Descriptor Dataset
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Eric Michael Smith
Melissa Hall
Melanie Kambadur
Eleonora Presani
Adina Williams
79
130
0
18 May 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical
  machine learning and how to avoid them
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them
Kendra Albert
Maggie K. Delano
FaML
21
11
0
15 Mar 2022
Generating Gender Augmented Data for NLP
Generating Gender Augmented Data for NLP
N. Jain
Maja Popovic
Declan Groves
Eva Vanmassenhove
31
15
0
13 Jul 2021
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang
Xi Lin
Nazneen Rajani
Bryan McCann
Vicente Ordonez
Caimng Xiong
CVBM
157
54
0
03 May 2020
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in
  Toxic Comment Detection
Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection
Ameya Vaidya
Feng Mai
Yue Ning
112
21
0
21 Sep 2019
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
223
618
0
03 Sep 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
326
4,223
0
23 Aug 2019
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