Abstract
FReND is a freely available corpus of French language in which negations are hand-annotated. Negations are annotated by their cues and scopes. Comprising 590K tokens and over 8.9K negations, it is the largest dataset available for French. A variety of types of textual genres are covered: literature, blog posts, Wikipedia articles, political debates, clinical reports and newspaper articles. As the understanding of negation is not yet mastered by current state of the art AI-models, FReND is not only a valuable resource for linguistic research into negation, but also as training data for AI tasks such as negation detection.- Anthology ID:
- 2024.lrec-main.658
- Volume:
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
- Venues:
- LREC | COLING
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 7461–7468
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.658
- DOI:
- Cite (ACL):
- Hafida Le Cloirec - Ait Yahya, Olga Seminck, and Pascal Amsili. 2024. FReND: A French Resource of Negation Data. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 7461–7468, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- FReND: A French Resource of Negation Data (Le Cloirec - Ait Yahya et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.658.pdf