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Empirical Analysis of Multi-Task Learning for Reducing Model Bias in
  Toxic Comment Detection
v1v2v3 (latest)

Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection

21 September 2019
Ameya Vaidya
Feng Mai
Yue Ning
ArXiv (abs)PDFHTML

Papers citing "Empirical Analysis of Multi-Task Learning for Reducing Model Bias in Toxic Comment Detection"

11 / 11 papers shown
ID-XCB: Data-independent Debiasing for Fair and Accurate
  Transformer-based Cyberbullying Detection
ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection
Peiling Yi
A. Zubiaga
250
1
0
26 Feb 2024
Determination of toxic comments and unintended model bias minimization
  using Deep learning approach
Determination of toxic comments and unintended model bias minimization using Deep learning approach
Md Azim Khan
173
2
0
08 Nov 2023
Toward Understanding Bias Correlations for Mitigation in NLP
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng
Suyu Ge
Huan Liu
279
9
0
24 May 2022
Theories of "Gender" in NLP Bias Research
Theories of "Gender" in NLP Bias ResearchConference on Fairness, Accountability and Transparency (FAccT), 2022
Hannah Devinney
Jenny Björklund
H. Björklund
AI4CE
375
93
0
05 May 2022
Towards generalisable hate speech detection: a review on obstacles and
  solutions
Towards generalisable hate speech detection: a review on obstacles and solutionsPeerJ Computer Science (PeerJ Comput. Sci.), 2021
Wenjie Yin
A. Zubiaga
349
204
0
17 Feb 2021
Challenges in Automated Debiasing for Toxic Language Detection
Challenges in Automated Debiasing for Toxic Language DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Xuhui Zhou
Maarten Sap
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
262
158
0
29 Jan 2021
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity
  Classification
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
Robert Adragna
Elliot Creager
David Madras
R. Zemel
OODFaML
281
46
0
12 Nov 2020
Aggressive Language Detection with Joint Text Normalization via
  Adversarial Multi-task Learning
Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task LearningNatural Language Processing and Chinese Computing (NLPCC), 2020
Shengqiong Wu
Hao Fei
Donghong Ji
183
6
0
19 Sep 2020
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
Language (Technology) is Power: A Critical Survey of "Bias" in NLPAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Su Lin Blodgett
Solon Barocas
Hal Daumé
Hanna M. Wallach
1.0K
1,619
0
28 May 2020
Demoting Racial Bias in Hate Speech Detection
Demoting Racial Bias in Hate Speech DetectionInternational Workshop on Natural Language Processing for Social Media (NLPSM), 2020
Mengzhou Xia
Anjalie Field
Yulia Tsvetkov
303
137
0
25 May 2020
Cyberbullying Detection with Fairness Constraints
Cyberbullying Detection with Fairness Constraints
O. Gencoglu
317
58
0
09 May 2020
1
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