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How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification

How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification

E. Tokpo
Pieter Delobelle
Bettina Berendt
T. Calders
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Papers citing "How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification"

3 / 3 papers shown
Title
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management
Xiahua Wei
Naveen Kumar
Han Zhang
61
3
0
22 Jan 2025
NBIAS: A Natural Language Processing Framework for Bias Identification in Text
NBIAS: A Natural Language Processing Framework for Bias Identification in Text
Shaina Razaa
Muskan Garg
Deepak John Reji
Syed Raza Bashir
Chen Ding
27
45
0
03 Aug 2023
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
210
138
0
23 Jan 2021