Ledo Mezquita, YoelSidorov, GrigoriCubells, Vicente2023-09-252023-09-252006-12-11https://hdl.handle.net/11285/651184Word sense disambiguation (WSD) is a linguistically-based mechanism for defining automatically the correct sense of a word in the context. Lesk-based methods use context information for WSD. In this paper, we propose a method of word sense disambiguation based on the combination of the original Lesk method and the simplified one with additional application of large lexical resources, like synonym dictionaries, ontologies, etc., for calculations of sense plausibility. We present experimental results that show that our method has better precision than the baseline Lesk-based methods. © 2006 IEEE.TextoengrestrictedAccesshttp://creativecommons.org/licenses/by/4.0INGENIERÍA Y TECNOLOGÍATechnologyItem publicado en memoria de congresoAccess to this document requires a subscription. IEEE offers both personal and institutional subscriptions. Whether you are an academic, a practitioner, or a student, IEEE offers a range of individual and institutional subscription options that can meet your needs.https://orcid.org/0000-0001-8270-3890https://orcid.org/0000-0003-3901-3522context informationexperimental resultsinternational conferenceslexical resourcesword-sense disambiguation (WSD)computational methodsontology105108México / Mexico582928409007003668092