Gaius

Conception et évaluation d’un nouveau modèle d’indexation de la documentation juridique

Semantic Indexing Using WordNet Senses

Type de ressource
Auteurs/contributeurs
Titre
Semantic Indexing Using WordNet Senses
Résumé
We describe in this paper a boolean Information Retrieval system that adds word semantics to the classic word based indexing. Two of the main tasks of our system, namely the indexing and retrieval components, are using a combined word-based and sense-based approach. The key to our system is a methodology for building semantic representations of open text, at word and collocation level. This new technique, called semantic indexing, shows improved effectiveness over the classic word based indexing techniques.
Date
2000
Titre des actes
Proceedings of the ACL-2000 Workshop on Recent Advances in Natural Language Processing and Information Retrieval: Held in Conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
Lieu
Stroudsburg, PA, USA
Maison d’édition
Association for Computational Linguistics
Pages
35–45
Collection
RANLPIR '00
Consulté le
2019-01-27 22 h 45
Catalogue de bibl.
ACM Digital Library
Référence
Mihalcea, R. et Moldovan, D. (2000). Semantic Indexing Using WordNet Senses. Stroudsburg, PA, USA (p. 35‑45). https://doi.org/10.3115/1117755.1117760
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