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Learning IS-A relations from specialized-domain texts with co-occurrence measures

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Learning IS-A relations from specialized-domain texts with co-occurrence measures

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Ureña Gómez-Moreno, P. (2018). Learning IS-A relations from specialized-domain texts with co-occurrence measures. Journal of Computer-Assisted Linguistic Research. 2(1):21-38. https://doi.org/10.4995/jclr.2018.9916

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Título: Learning IS-A relations from specialized-domain texts with co-occurrence measures
Autor: Ureña Gómez-Moreno, Pedro
Fecha difusión:
Resumen:
[EN] Ontology enrichment is a classification problem in which an algorithm categorizes an input conceptual unit in the corresponding node in a target ontology. Conceptual enrichment is of great importance ...[+]
Palabras clave: Ontology learning , Ontology enrichment , Taxonomy , Corpus linguistics , Co-occurrence
Derechos de uso: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Fuente:
Journal of Computer-Assisted Linguistic Research. (eissn: 2530-9455 )
DOI: 10.4995/jclr.2018.9916
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/jclr.2018.9916
Código del Proyecto:
info:eu-repo/grantAgreement/MINECO//FFI2014-53788-C3-1-P/ES/DESARROLLO DE UN LABORATORIO VIRTUAL PARA EL PROCESAMIENTO COMPUTACIONAL DEL LENGUAJE NATURAL DESDE UN PARADIGMA FUNCIONAL/
Agradecimientos:
This article is based on research carried out within the framework of the Project FFI2014-53788-C3-1-P, which is funded by the Spanish Ministry of Economy and Competitiveness, and entitled: Development of a ...[+]
Tipo: Artículo

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