PuoBERTa-NER

PuoBERTa-NER: A Setswana Langage Model Finetuned on MasakhaNER-2 for Named Entity Recognition.

🤗 https://huggingface.co/dsfsi/PuoBERTa

A Roberta-based language model finetuned on MasakhaneNER-2 for Named Entity Recognition.

Based on https://huggingface.co/dsfsi/PuoBERTa

Model Details

Model Description

This is a POS model trained on Setswana based on PuoBERTa and fineruned on MasakhaNER-2 Setswana.

• Developed by: Vukosi Marivate (@vukosi), Moseli Mots'Oehli (@MoseliMotsoehli) , Valencia Wagner, Richard Lastrucci and Isheanesu Dzingirai
• Model type: RoBERTa Model
• Language(s) (NLP): Setswana
• License: CC BY 4.0

Model Performance

Performance of models on the MasakhaNER-2 downstream task.

Usage

Use this model for Part of Speech Tagging for Setswana.

Citation Information

Bibtex Refrence

@inproceedings{marivate2023puoberta,
  title   = {PuoBERTa: Training and evaluation of a curated language model for Setswana},
  author  = {Vukosi Marivate and Moseli Mots'Oehli and Valencia Wagner and Richard Lastrucci and Isheanesu Dzingirai},
  year    = {2023},
  booktitle= {Artificial Intelligence Research. SACAIR 2023. Communications in Computer and Information Science},
  url= {https://link.springer.com/chapter/10.1007/978-3-031-49002-6_17},
  keywords = {NLP},
  preprint_url = {https://arxiv.org/abs/2310.09141},
  dataset_url = {https://github.com/dsfsi/PuoBERTa},
  software_url = {https://huggingface.co/dsfsi/PuoBERTa}
}

Contributing

Your contributions are welcome! Feel free to improve the model.

Model Card Authors

Vukosi Marivate

Model Card Contact

For more details, reach out or check our website.

Email: [email protected]

Enjoy exploring Setswana through AI!