Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), Dec 2024, Pise, Italy
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.
Anna Colli, Diego Rossini, Delphine Battistelli. A modal sense classifier for the French modal verb pouvoir. Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), Dec 2024, Pise, Italy. ⟨hal-04863361⟩ (lien externe)
Citations
APA
Colli, A., Rossini, D., & Battistelli, D. (2024). A modal sense classifier for the French modal verb pouvoir. https://hal.science/hal-04863361v1
MLA
Colli, Anna, et al. A Modal Sense Classifier for the French Modal Verb Pouvoir. Jan. 2024, https://hal.science/hal-04863361v1.
Chicago
Colli, Anna, Diego Rossini, and Delphine Battistelli. 2024. “A Modal Sense Classifier for the French Modal Verb Pouvoir.” https://hal.science/hal-04863361v1.
Harvard
Colli, A., Rossini, D. and Battistelli, D. (2024) “A modal sense classifier for the French modal verb pouvoir.” Available at: https://hal.science/hal-04863361v1.
ISO 690
COLLI, Anna, ROSSINI, Diego and BATTISTELLI, Delphine, 2024. A modal sense classifier for the French modal verb pouvoir [en ligne]. January 2024. Disponible à l'adresse : https://hal.science/hal-04863361v1