"Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in ..."

Fanny Jourdan et al. (2023)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2023-07-19

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  - electronic edition @ ceur-ws.org (open access)
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  dblp key:
  - conf/ewaf/JourdanKALR23
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  persistent URL:
  - https://dblp.org/rec/conf/ewaf/JourdanKALR23
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? EWAF 2023

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