Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/70374
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dc.contributor.authorPérez Cabello de Alba, Beatrizen_US
dc.date.accessioned2020-02-19T17:11:56Z-
dc.date.available2020-02-19T17:11:56Z-
dc.date.issued2017en_US
dc.identifier.issn1133-1127en_US
dc.identifier.urihttp://hdl.handle.net/10553/70374-
dc.description.abstractThis paper addresses semantic memory loss from the perspective of Natural Language Processing. Dementia disorders and, in particular, Alzheimer’s disease (AD) present a loss of cognitive functions, being one of them semantic memory impairment. We set from a study conducted by Grasso, Díaz & Peraita (2011) where they analysed the production of features of four semantic categories (2 Living Beings and 2 Non Living Beings) of healthy subjects and patients with different levels of Alzheimer’s disease, taken from the Linguistic corpus of semantic categories definitions elaborated by Peraita & Grasso (2010). The aim of this work is to enhance the protocol of semantic features employed in that study by using Natural Language Processing systems such as FunGramKB (Periñán-Pascual & Arcas Túnez 2004, 2005, 2006, 2007, 2010). This lexical-conceptual knowledge base incorporates a series of feature descriptors for the definition of semantic knowledge which, together with the inheritance and inference relations established among concepts in the ontology, will enrich the collection of semantic features used in the test of semantic attributes production for the detection of semantic memory impairment (Grasso, Díaz & Peraita, 2011).en_US
dc.languageengen_US
dc.relation.ispartofLFE. Revista de Lenguas para Fines Específicosen_US
dc.sourceLFE. Revista de lenguas para fines específicos [eISSN 2340-8561], v. 23 (2), p. 133-156en_US
dc.subject570107 Lengua y literaturaen_US
dc.subject550510 Filologíaen_US
dc.subject.otherNatural Language Processingen_US
dc.subject.otherFunGramKBen_US
dc.subject.otherSemantic memory lossen_US
dc.subject.otherAlzheimer’s diseaseen_US
dc.titleA contribution of Natural Language Processing to the study of semantic memory loss in patients with Alzheimer’s diseaseen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.20420/rlfe.2017.176en_US
dc.investigacionArtes y Humanidadesen_US
dc.type2Artículoen_US
dc.identifier.ulpgces
dc.description.esciESCI
dc.description.dialnetimpact0,066
dc.description.dialnetqQ3
dc.description.dialnetdD6
dc.description.erihplusERIH PLUS
item.fulltextCon texto completo-
item.grantfulltextopen-
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