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Towards Procedural Fairness: Uncovering Biases in How a Toxic Language
  Classifier Uses Sentiment Information

Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information

19 October 2022
I. Nejadgholi
Esma Balkir
Kathleen C. Fraser
S. Kiritchenko
ArXivPDFHTML

Papers citing "Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information"

6 / 6 papers shown
Title
A Note on Bias to Complete
A Note on Bias to Complete
Jia Xu
Mona Diab
47
2
0
18 Feb 2024
Concept-Based Explanations to Test for False Causal Relationships
  Learned by Abusive Language Classifiers
Concept-Based Explanations to Test for False Causal Relationships Learned by Abusive Language Classifiers
I. Nejadgholi
S. Kiritchenko
Kathleen C. Fraser
Esma Balkir
26
0
0
04 Jul 2023
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
226
405
0
24 Feb 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan Ö. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
122
297
0
17 Oct 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
254
3,684
0
28 Feb 2017
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