A Modal Sense Classifier for the French Modal Verb Pouvoir

Anna Colli, Diego Rossini, Delphine Battistelli


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.
Anthology ID:
2024.clicit-1.28
Volume:
Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
Month:
December
Year:
2024
Address:
Pisa, Italy
Editors:
Felice Dell'Orletta, Alessandro Lenci, Simonetta Montemagni, Rachele Sprugnoli
Venue:
CLiC-it
SIG:
Publisher:
CEUR Workshop Proceedings
Note:
Pages:
233–243
Language:
URL:
https://aclanthology.org/2024.clicit-1.28/
DOI:
Bibkey:
Cite (ACL):
Anna Colli, Diego Rossini, and Delphine Battistelli. 2024. A Modal Sense Classifier for the French Modal Verb Pouvoir. In Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024), pages 233–243, Pisa, Italy. CEUR Workshop Proceedings.
Cite (Informal):
A Modal Sense Classifier for the French Modal Verb Pouvoir (Colli et al., CLiC-it 2024)
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PDF:
https://aclanthology.org/2024.clicit-1.28.pdf