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Master Thesis

Extraction d'évènements au sein d'une plateforme de veille

Abstract : Event extraction is an application of Natural Language Processing (NLP), more precisely of text mining, consisting in extracting structured information about events present in texts in an unstructured way. During the course of this internship, we worked on the development of the model version of an event extraction tool. This tool is based on a pattern-matching method. We mainly worked with the ACE (Automatic Content Extraction) corpus, from the evaluation conference of the same name. This internship and the developement of this model are part of enhancing AMI Enterprise Intelligence (AMI EI), the business intelligence solution developed and maintained by Bertin IT within its research center in Montpellier. The main contributions of this project are : — state of the art on event extraction ; — review of several Open Source tools ; — development of a model version of an event extraction tool.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-03245021
Contributor : Uga - Bulles <>
Submitted on : Tuesday, June 1, 2021 - 3:19:57 PM
Last modification on : Friday, June 4, 2021 - 3:21:58 AM

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ANTOINE Capucine_M2_IDL.pdf
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  • HAL Id : dumas-03245021, version 1

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Capucine Antoine. Extraction d'évènements au sein d'une plateforme de veille. Sciences de l'Homme et Société. 2020. ⟨dumas-03245021⟩

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