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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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/10537164/ |
| Tags: |
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