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Master Thesis

Extraction d'informations en contexte de Petites et Moyennes Entreprises

Abstract : Automatic (Natural) Language Processing is a new discipline, born in the 60's. the discipline is new too in companies' practice. One can presume how ANLP can work for businesses. What happened in N5 is somehow significant of what kinds of interventions are required by small and medium-sized enterprises. These actions are quite predictable. First they are informative missions that define these companies' software and material environment. Selecting tools and trying them is often a natural end in this stage but are not always achieved. Next missions command extraction services. These last activities are financially light: they don't require a lot of money, no more expensive materials. The enterprise's needs made this stage specificity. Although, even here, there are some regular patterns because the linguist's bricks are still the same lowest level: (human) vocabulary.
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Master Thesis
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Submitted on : Wednesday, September 25, 2013 - 3:16:17 PM
Last modification on : Wednesday, July 15, 2020 - 1:06:02 PM
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  • HAL Id : dumas-00865992, version 1

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Mylène Joséphine. Extraction d'informations en contexte de Petites et Moyennes Entreprises. Sciences de l'Homme et Société. 2012. ⟨dumas-00865992⟩

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