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CAS: French Corpus with Clinical Cases
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.
Speculation and Negation detection in French biomedical corpora
We reach up to 97. 21 {\%} and 91. 30 {\%} F-measure for the detection of negation and speculation cues, respectively, using CRFs.
Port\'ee de la n\'egation : d\'etection par apprentissage supervis\'e en fran\ccais et portugais br\'esilien (Negation scope : sequence labeling by supervised learning in French and Brazilian-Portuguese)
Cet article pr{\'e}sente nos contributions concernant la d{\'e}tection de la port{\'e}e de la n{\'e}gation en fran{\c{c}}ais et portugais br{\'e}silien.
D\'etection de l'incertitude et de la n\'egation : un \'etat de l'art (Identifying uncertainty and negation's cues and scope : State of the art One of the goals of our endeavours is to turn a corpus of medical documents into more easily readable structured data)
Ainsi, il est n{\'e}cessaire non seulement de d{\'e}tecter les concepts m{\'e}dicaux {\'e}voqu{\'e}s, mais aussi d{'}int{\'e}grer un processus capable d{'}identifier le contexte dans lequel est {\'e}voqu{\'e} chaque concept m{\'e}dical.
