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Mitigating Biases in Toxic Language Detection through Invariant
Rationalization

Mitigating Biases in Toxic Language Detection through Invariant Rationalization

14 June 2021

Yung-Sung Chuang

ArXiv (abs)PDF HTML

Papers citing "Mitigating Biases in Toxic Language Detection through Invariant Rationalization"

7 / 7 papers shown

Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach

Bangla BERT for Hyperpartisan News Detection: A Semi-Supervised and Explainable AI Approach

Mohammad Mehadi Hasan

Fatema Binte Hassan

Sazzatul Yeakin

Md Masum Billah

75

0

0

28 Jul 2025

VertAttack: Taking advantage of Text Classifiers' horizontal vision

VertAttack: Taking advantage of Text Classifiers' horizontal vision

Jonathan Rusert

246

2

0

12 Apr 2024

The State of Profanity Obfuscation in Natural Language Processing

The State of Profanity Obfuscation in Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022

239

8

0

14 Oct 2022

Suum Cuique: Studying Bias in Taboo Detection with a Community
Perspective

Suum Cuique: Studying Bias in Taboo Detection with a Community PerspectiveFindings (Findings), 2022

Jonathan Rusert

118

1

0

22 Mar 2022

Are Shortest Rationales the Best Explanations for Human Understanding?

Are Shortest Rationales the Best Explanations for Human Understanding?Annual Meeting of the Association for Computational Linguistics (ACL), 2022

Hua Shen

Tongshuang Wu

Ting-Hao 'Kenneth' Huang

185

11

0

16 Mar 2022

Dominant Set-based Active Learning for Text Classification and its
Application to Online Social Media

Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media

Toktam A. Oghaz

Ivan I. Garibay

132

0

0

28 Jan 2022

Investigating Bias In Automatic Toxic Comment Detection: An Empirical
Study

Investigating Bias In Automatic Toxic Comment Detection: An Empirical Study

72

1

0

14 Aug 2021