How far can it go? On intrinsic gender bias mitigation for text classification
Source
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023), May 2-6, Dubrovnik, Croatia- () p. 3418-3433
How far can it go? On intrinsic gender bias mitigation for text classification
Measuring fairness with biased rulers : a comparative study on bias metrics for pre-trained language models
Source
Conference of the, North-American-Chapter-of-the-Association-for-Computational-Linguistics, (NAAACL) - Human Language Technologies, JUL 10-15, 2022, Seattle, WA- (2022) p. 1693-1706
Text style transfer for bias mitigation using masked language modeling
Source
Conference of the North American Chapter of-the Association for Computational Linguistics, (NAAACL) - Human Language Technologies, JUL 10-15, 2022, Seattle, WA- (2022) p. 163-171
Measuring fairness with biased rulers : a survey on quantifying biases in pretrained language models
Source
- () p.