@inproceedings{matos-etal-2024-accent,
    title = "Accent Classification is Challenging but Pre-training Helps: a case study with novel {B}razilian {P}ortuguese datasets",
    author = "Matos, Ariadne  and
      Ara{\'u}jo, Gustavo  and
      Junior, Arnaldo Candido  and
      Ponti, Moacir",
    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://preview.aclanthology.org/add-emnlp-2024-awards/2024.propor-1.37/",
    pages = "364--373"
}