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Quantifying Gender Bias in Arabic Pre-Trained Language Models

The current renaissance in the development of Arabic Pre-trained Language models (APLMs) has yielded significant advancement across many fields. Nevertheless, no study has explored the dimensions of gender bias in these models. It is argued that the bias is influenced by the resources used during th...

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Tallennettuna:
Päätekijät: Wafa Alrajhi, Hend S. Al-Khalifa, Abdulmalik S. Al-Salman
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2024-01-01
Sarja:IEEE Access
Aiheet:
Arabic pretrained language models (APLMs)
BERT
gender bias
large models
quantifying bias
Linkit:https://ieeexplore.ieee.org/document/10537164/
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