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README.md
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- **Language**: Spanish
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- **Data**: [CelebA_RoBERTa_Sp](https://huggingface.co/datasets/oeg/CelebA_RoBERTa_Sp).
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- **Architecture**: roberta-base
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## Description
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In order to improve the [RoBERTa-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) encoder performance, this model has been trained using the generated corpus ([in this respository](https://huggingface.co/oeg/RoBERTa-CelebA-Sp/))
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## Citation information
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**Citing**: If you used RoBERTa+CelebA model in your work, please cite the **[
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@article{
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}
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## Autors
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- [Eduardo Yauri Lozano](https://github.com/eduar03yauri)
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- **Language**: Spanish
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- **Data**: [CelebA_RoBERTa_Sp](https://huggingface.co/datasets/oeg/CelebA_RoBERTa_Sp).
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- **Architecture**: roberta-base
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- - **Paper**: [Information Processing and Management](https://doi.org/10.1016/j.ipm.2024.103667)
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## Description
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In order to improve the [RoBERTa-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) encoder performance, this model has been trained using the generated corpus ([in this respository](https://huggingface.co/oeg/RoBERTa-CelebA-Sp/))
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## Citation information
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**Citing**: If you used RoBERTa+CelebA model in your work, please cite the paper publish in **[Information Processing and Management](https://doi.org/10.1016/j.ipm.2024.103667)**:
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```bib
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@article{YAURILOZANO2024103667,
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title = {Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish},
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journal = {Information Processing & Management},
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volume = {61},
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number = {3},
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pages = {103667},
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year = {2024},
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issn = {0306-4573},
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doi = {https://doi.org/10.1016/j.ipm.2024.103667},
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url = {https://www.sciencedirect.com/science/article/pii/S030645732400027X},
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author = {Eduardo Yauri-Lozano and Manuel Castillo-Cara and Luis Orozco-Barbosa and Raúl García-Castro}
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}
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```
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## Autors
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- [Eduardo Yauri Lozano](https://github.com/eduar03yauri)
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