Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser. Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?. In Jose M. Alvarez, Alessandro Fabris, Christoph Heitz, Corinna Hertweck, Michele Loi, Meike Zehlike, editors, Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023. Volume 3442 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]
@inproceedings{JourdanKALR23-0,
title = {Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems?},
author = {Fanny Jourdan and Titon Tshiongo Kaninku and Nicholas Asher and Jean-Michel Loubes and Laurent Risser},
year = {2023},
url = {https://ceur-ws.org/Vol-3442/paper-14.pdf},
researchr = {https://researchr.org/publication/JourdanKALR23-0},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 2nd European Workshop on Algorithmic Fairness, Winterthur, Switzerland, June 7th to 9th, 2023},
editor = {Jose M. Alvarez and Alessandro Fabris and Christoph Heitz and Corinna Hertweck and Michele Loi and Meike Zehlike},
volume = {3442},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}