Titre : Keyword Representations in Semantic Vector Space: a Keyword Assignment Method for Automatic Document Indexing Auteurs : Jean-François Chartier, Dominic Forest , Revue : Information Retrieval, Document and Semantic Web Numéro : Issue 1 Volume : 1 Date : 2018/01/26 DOI : 10.21494/ISTE.OP.2018.0206 ISSN : 2516-3280 Résumé : With the extremely rapid growth of the amount of digital documents in our societies, automatic keyword indexing has become a central research issue in information retrieval and document management. Several scientific competitions dealing with automatic indexing tasks have emerged in recent years. This article reports our participation in one of them, the 2016 edition of Défi Fouille de Texte (DEFT-2016). First, we present a state of the art regarding the importance, the issues and the challenges of automatic keyword indexing. After presenting the context and the task of the DEFT-2016, we introduce the method we have developed. This method is based on the construction of a keyword semantic vector space. The evaluation of our method and the analysis of the results suggest that our approach is particularly adapted to automatic keyword indexing tasks which require a large proportion of controlled keyword assignment that are absent from the text content of the documents. Éditeur : ISTE OpenScience