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Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection
Schäfer, Johannes; Heid, Ulrich; Klinger, Roman (2024): Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection, in: Orphee De Clercq, Valentin Barriere, Jeremy Barnes, u. a. (Hrsg.), Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, Bangkok, Thailand: Association for Computational Linguistics, S. 35–51.
Faculty/Chair:
Author:
Title of the compilation:
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
Conference:
14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis ; Bangkok, Thailand
Publisher Information:
Year of publication:
2024
Pages:
Language:
English
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Conferenceobject
Activation date:
September 20, 2024
Permalink
https://fis.uni-bamberg.de/handle/uniba/98197