CAS: French Corpus with Clinical Cases

Abstract : Textual corpora are extremely important for various NLP applications as they provide information necessary for creating, setting and testing these applications and the corresponding tools. They are also crucial for designing reliable methods and reproducible results. Yet, in some areas, such as the medical area, due to confidentiality or to ethical reasons, it is complicated and even impossible to access textual data representative of those produced in these areas. We propose the CAS corpus built with clinical cases, such as they are reported in the published scientific literature in French. We describe this corpus, currently containing over 397,000 word occurrences, and the existing linguistic and semantic annotations.
Type de document :
Communication dans un congrès
LOUHI 2018 - The Ninth International Workshop on Health Text Mining and Information Analysis, Oct 2018, Bruxelles, France. pp.1-7, 2018, Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI) Proceedings of the Workshop
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01937096
Contributeur : Clément Dalloux <>
Soumis le : mardi 27 novembre 2018 - 20:32:46
Dernière modification le : mardi 4 décembre 2018 - 01:10:35

Fichier

corpus_Louhi_2018.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01937096, version 1

Citation

Natalia Grabar, Vincent Claveau, Clément Dalloux. CAS: French Corpus with Clinical Cases. LOUHI 2018 - The Ninth International Workshop on Health Text Mining and Information Analysis, Oct 2018, Bruxelles, France. pp.1-7, 2018, Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI) Proceedings of the Workshop. 〈hal-01937096〉

Partager

Métriques

Consultations de la notice

30

Téléchargements de fichiers

17