Hafida Le Cloirec - Ait Yahya


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2024

pdf bib
FReND: A French Resource of Negation Data
Hafida Le Cloirec - Ait Yahya | Olga Seminck | Pascal Amsili
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

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.