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Improving Counterfactual Generation for Fair Hate Speech Detection

Improving Counterfactual Generation for Fair Hate Speech Detection

3 August 2021
Aida Mostafazadeh Davani
Ali Omrani
Brendan Kennedy
M. Atari
Xiang Ren
Morteza Dehghani
ArXivPDFHTML

Papers citing "Improving Counterfactual Generation for Fair Hate Speech Detection"

9 / 9 papers shown
Title
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated
  Bangla
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla
Fabiha Haider
Fariha Tanjim Shifat
Md Farhan Ishmam
Deeparghya Dutta Barua
Md Sakib Ul Rahman Sourove
Md Fahim
Md Farhad Alam
13
1
0
17 Oct 2024
Counterfactually Fair Representation
Counterfactually Fair Representation
Zhiqun Zuo
Mohammad Mahdi Khalili
Xueru Zhang
FaML
34
5
0
09 Nov 2023
"One-Size-Fits-All"? Examining Expectations around What Constitute
  "Fair" or "Good" NLG System Behaviors
"One-Size-Fits-All"? Examining Expectations around What Constitute "Fair" or "Good" NLG System Behaviors
Li Lucy
Su Lin Blodgett
Milad Shokouhi
Hanna M. Wallach
Alexandra Olteanu
26
7
0
23 Oct 2023
Towards a Unified Framework for Adaptable Problematic Content Detection
  via Continual Learning
Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning
Ali Omrani
Alireza S. Ziabari
Preni Golazizian
Jeffery Sorensen
Morteza Dehghani
6
1
0
29 Sep 2023
The State of Profanity Obfuscation in Natural Language Processing
The State of Profanity Obfuscation in Natural Language Processing
Debora Nozza
Dirk Hovy
31
7
0
14 Oct 2022
Flexible text generation for counterfactual fairness probing
Flexible text generation for counterfactual fairness probing
Zee Fryer
Vera Axelrod
Ben Packer
Alex Beutel
Jilin Chen
Kellie Webster
12
18
0
28 Jun 2022
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
206
615
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
294
4,187
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
213
669
0
17 Feb 2018
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