@inproceedings{colli-etal-2024-modal,
    title = "A Modal Sense Classifier for the {F}rench Modal Verb Pouvoir",
    author = "Colli, Anna  and
      Rossini, Diego  and
      Battistelli, Delphine",
    editor = "Dell'Orletta, Felice  and
      Lenci, Alessandro  and
      Montemagni, Simonetta  and
      Sprugnoli, Rachele",
    booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
    month = dec,
    year = "2024",
    address = "Pisa, Italy",
    publisher = "CEUR Workshop Proceedings",
    url = "https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2024.clicit-1.28/",
    pages = "233--243",
    ISBN = "979-12-210-7060-6",
    abstract = "In this paper we address the problem of modal sense classification for the French modal verb pouvoir in a transcribed spoken corpus. To the best of our knowledge, no studies have focused on this task in French. We fine-tuned various BERT-based models for French in order to determine which one performed best. It was found that the Flaubert-base-cased model was the most effective (F1-score of 0.94) and that the most frequent categories in our corpus were material possibility and ability, which are both part of the more global alethic category."
}