Towards More Equitable NLP: Investigating Multi-Sensitive Attribute Debiasing Methods for Contextualised Models

Additional Metadata
Keywords	Fairness; Machine Learning; Contextual NLP; Multi-Sensitive Attribute
Thesis Advisor	Akyuz, MH
Persistent URL	hdl.handle.net/2105/67235
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Pluym, M.K. (2023, May 23). Towards More Equitable NLP: Investigating Multi-Sensitive Attribute Debiasing Methods for Contextualised Models. Econometrie. Retrieved from http://hdl.handle.net/2105/67235

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