منابع مشابه
Estimation automatique de la distribution des sens de termes
In order to promote the usage of the natural language in information systems, it seems interesting to obtain lexical data allowing a satisfactory lexical disambiguation. The distribution of word senses is one such important type of data, but still is uneasy to obtain. We are currently developing a system for analysing thematics aspects of texts and undertaking word sense disambiguation based on...
متن کاملMéthode semi-compositionnelle pour l'extraction de synonymes des termes complexes
Automatic synonyms and semantically related word extraction is a challenging task, useful in many NLP applications such as question answering, search query expansion, text summarization, etc. While different studies addressed the task of word synonym extraction, only a few investigations tackled the problem of acquiring synonyms of multi-word terms (MWT) from specialized corpora. To extract pai...
متن کاملDimensionalité intrinsèque dans les espaces de représentation des termes et des documents
Examining the properties of representation spaces for documents or words in IR (typically R with n large) brings precious insights to help the retrieval process. Recently, several authors have studied the real dimensionality of the datasets, called intrinsic dimensionality, in specific parts of these spaces (Houle et al., 2012a). In this paper, we propose to revisit this notion through a coeffi...
متن کاملExtraction automatique de termes-clés : Comparaison des méthodes non supervisées de la littérature
This article presents a state of the art and a comparison of unsupervised methods for automatic keywords extraction from documents. We evaluate several methods from the literature on two sets of documents by comparing the keywords extracted and those initially associated with documents. We found that the best method (the one that retrieves keywords the closest to the authors’ keywords) is based...
متن کاملExtraction de la localisation des termes pour le classement des documents
Résumé. Trouver et classer les documents pertinents par rapport à une requête est fondamental dans le domaine de la recherche d’information. Notre étude repose sur la localisation des termes dans les documents. Nous posons l’hypothèse que plus les occurrences des termes d’une requête se retrouvent proches dans un document alors plus ce dernier doit être positionné en tête de la liste de réponse...
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ژورنال
عنوان ژورنال: Meta: Journal des traducteurs
سال: 1968
ISSN: 0026-0452,1492-1421
DOI: 10.7202/002552ar