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Automatisation des tâches documentaires dans un catalogue de santé en ligne.

Abstract : Information Retrieval aims at enabling users to access the content of documents quickly and efficiently. In the medical domain, an increasing number of resources are available in electronic format, and there is a growing need for automatic solutions at several levels. Documents, and in particular texts, need to be selected and quality assessed to appear in catalogues; they need to be described with keywords and categorized within
medical specialties to allow searches within the catalogues. These tasks are a challenge for Natural Language Processing, as they imply an "understanding" of the documents content by an automatic system. My PhD work has addressed this issue, and applied it to the automatisation of documentary tasks in a French online health catalogue, CISMeF. More specifically, this work has involved contributing to the enrichment of linguistic resources available in French for the medical domain, and developping systems for document watch and resource description. In this particular area, my focus was on MeSH automatic indexing with Main Heading/Sub Heading pairs.
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Contributor : Aurelie Neveol <>
Submitted on : Monday, February 6, 2006 - 9:21:20 PM
Last modification on : Monday, October 19, 2020 - 11:04:46 AM
Long-term archiving on: : Monday, September 17, 2012 - 11:45:47 AM


  • HAL Id : tel-00011549, version 1


Aurelie Neveol. Automatisation des tâches documentaires dans un catalogue de santé en ligne.. Autre [cs.OH]. INSA de Rouen, 2005. Français. ⟨tel-00011549⟩



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