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Détection de l'incertitude et de la négation : un état de l'art

Clément Dalloux 1
1 LinkMedia - Creating and exploiting explicit links between multimedia fragments
IRISA-D6 - MEDIA ET INTERACTIONS, Inria Rennes – Bretagne Atlantique
Abstract : One of the goals of our endeavours is to turn a corpus of medical documents into more easily readable structured data. Thus, it is necessary to add a process capable of identifying the context in which each medical concept is used. In this article, we mainly review the various systems proposed for negation and uncertainty detection that include a machine learning method. This last decade, studies undertaken in order to detect uncertainty and negation in texts have given satisfying results, however, there is still room for improvement.
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Submitted on : Friday, December 8, 2017 - 4:13:19 PM
Last modification on : Thursday, January 7, 2021 - 4:31:54 PM


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  • HAL Id : hal-01659646, version 1


Clément Dalloux. Détection de l'incertitude et de la négation : un état de l'art. RECITAL 2017 - 18ème Rencontre des Étudiants Chercheurs en Informatique en Traitement Automatique des Langues, Jun 2017, Orléans, France. pp.1-14. ⟨hal-01659646⟩



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