transformers pytorch bert fill-mask BERT BERTimbau NER Portuguese Literature token-classification pt license:mit autotrain_compatible endpoints_compatible region:us
---
language:
- pt
library_name: transformers
license: mit
metrics:
- name: Precision
  type: Precision
  value: 0.74
- name: Recall
  type: Recall
  value: 0.767
- name: F1-Score
  type: F1-Score
  value: 0.753
pipeline_tag: token-classification
tags:
- BERT
- BERTimbau
- NER
- Portuguese
- Literature
---

# LitBERTimbau

## Citation

**BibTeX:**
```
@inproceedings{silva-moro-2024-evaluating,
    title = "Evaluating Pre-training Strategies for Literary Named Entity Recognition in {P}ortuguese",
    author = "Silva, Mariana O.  and
      Moro, Mirella M.",
    editor = "Gamallo, Pablo  and
      Claro, Daniela  and
      Teixeira, Ant{\'o}nio  and
      Real, Livy  and
      Garcia, Marcos  and
      Oliveira, Hugo Gon{\c{c}}alo  and
      Amaro, Raquel",
    booktitle = "Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1",
    month = mar,
    year = "2024",
    address = "Santiago de Compostela, Galicia/Spain",
    publisher = "Association for Computational Lingustics",
    url = "https://aclanthology.org/2024.propor-1.39",
    pages = "384--393",
}
```

**APA:**

Mariana O. Silva and Mirella M. Moro. 2024. Evaluating Pre-training Strategies for Literary Named Entity Recognition in Portuguese. In Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1, pages 384–393, Santiago de Compostela, Galicia/Spain. Association for Computational Lingustics.