Revista: | Computación y sistemas |
Base de datos: | |
Número de sistema: | 000560353 |
ISSN: | 1405-5546 |
Autores: | Paulino, Anayeli1 Sierra, Gerardo1 Hernández Domínguez, Laura2 Cunha, Iria da3 Bel Enguix, Gemma1 |
Instituciones: | 1Universidad Nacional Autónoma de México, Instituto de Ingeniería, Ciudad de México. México 2Université du Québec, Ecole de Technologie Superieure, Montreal. Canadá 3Universidad Nacional de Educación a Distancia, Madrid. España |
Año: | 2018 |
Periodo: | Jul-Sep |
Volumen: | 22 |
Número: | 3 |
Paginación: | 895-905 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Resumen en inglés | The study is aimed to extract discourse relations patterns in conversational speech of subjects with Alzheimer’s Disease (AD) and adults with healthy aging processes using the Rhetorical Structure Theory (RST). By means of the RST, we analyzed semi-structured interviews of native Spanish speakers. Seven subjects were in the mild, moderate or advanced stages of AD, and 6 were cognitively intact individuals. The procedure involved the segmentation of each conversational discourse into Semantic Dialog Units (SDUs), the labeling of their rhetorical relations and the construction of tree diagrams. We perform a correlation analysis to determine the significance of the use of rhetorical relations for each group. We found a significantly (p-value <.05) lower rhetorical relations production density in subjects with AD. We also observed that most rhetorical relations used by healthy older subjects were Elaboration, Concession, Interpretation, Non-Volitional Cause, Solutionhood and Volitional Result. |
Disciplinas: | Ciencias de la computación |
Palabras clave: | Inteligencia artificial |
Keyword: | Rhetorical relations, Conversation analysis, Alzheimer’s disease, Artificial intelligence |
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