CAS: French Corpus with Clinical Cases
Type de document :
Communication dans un congrès avec actes
Titre :
CAS: French Corpus with Clinical Cases
Auteur(s) :
Grabar, Natalia [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Claveau, Vincent [Auteur]
Creating and exploiting explicit links between multimedia fragments [LinkMedia]
Dalloux, Clément [Auteur]
Creating and exploiting explicit links between multimedia fragments [LinkMedia]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Claveau, Vincent [Auteur]
Creating and exploiting explicit links between multimedia fragments [LinkMedia]
Dalloux, Clément [Auteur]
Creating and exploiting explicit links between multimedia fragments [LinkMedia]
Titre de la manifestation scientifique :
LOUHI 2018 - The Ninth International Workshop on Health Text Mining and Information Analysis
Ville :
Bruxelles
Pays :
France
Date de début de la manifestation scientifique :
2018-10-31
Titre de la revue :
Ninth International Workshop on Health Text Mining and Information Analysis (LOUHI) Proceedings of the Workshop
Date de publication :
2018-10-31
Discipline(s) HAL :
Informatique [cs]/Traitement du texte et du document
Résumé en anglais : [en]
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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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- corpus_Louhi_2018.pdf
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