Enriching the Integration of Semantic Resources based on WordNet

• Autores: Yoan Gutiérrez Vázquez , Antonio Fernández Orquín, Andrés Montoyo Guijarro , Sonia Vázquez Pérez
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 47, 2011, págs. 249-257
• Idioma: inglés
• Enlaces
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• Dialnet Métricas: 1 Cita
• Resumen
  • español

    En este artículo se presenta el enriquecimiento de la herramienta Integración de recursos Semánticos basados en WordNet (ISR-WN Enriquecido). Esta nueva propuesta mejora la anterior, introduciendo nuevos recursos tales como Semantic Classes y SentiWordNet a los anteriormente relacionados: SUMO, WordNet Domains y WordNet Affects. Previamente a la introducción de nuevos recursos se describe la arquitectura de esta propuesta explicando las particularidades de cada recurso integrado. Tras la descripción de la arquitectura se analizan los problemas surgidos tras el mapeo de diferentes versiones y cómo se han solucionado. Además, se muestran las ventajas que la introducción de este tipo de herramientas pueden proporcionar a diferentes aplicaciones de Procesamiento del Lenguaje Natural. Relacionado con esta cuestión también se demuestra que la integración de recursos semánticos permite adquirir una visión multidimensional en el análisis del lenguaje natural.

  • English

    In this paper we present the enrichment of the Integration of Semantic Resources based in WordNet (ISR-WN Enriched). This new proposal improves the previous one where several semantic resources such as SUMO, WordNet Domains and WordNet Affects were related, adding other semantic resources such as Semantic Classes and SentiWordNet. Firstly, the paper describes the architecture of this proposal explaining the particularities of each integrated resource. After that, we analyze some problems related to the mappings of different versions and how we solve them. Moreover, we show the advantages that this kind of tool can provide to different applications of Natural Language Processing. Related to that question, we can demonstrate that the integration of semantic resources allows acquiring a multidimensional vision in the analysis of natural language.

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