Por favor utiliza este link para citar o compartir este documento: http://repositoriodigital.academica.mx/jspui/handle/987654321/217547
Título: Graph Mining under Linguistic Constraints for Exploring Large Texts
Palabras clave: Computación
Text coherence
graph representation
graph mining
Hoeys linguistic model
Editorial: Instituto Politécnico Nacional
Descripción: In this paper, we propose an approach to explore large texts by highlighting coherent sub-parts. The exploration method relies on a graph representation of the text according to Hoeys linguistic model which allows the selection and the binding of adjacent and non-adjacent sentences. The main contribution of our work consists in proposing a method based on both Hoeys linguistic model and a special graph mining technique, called CoHoP mining, to extract coherent sub-parts of the graph representation of the text. We have conducted some experiments on several English texts showing the interest of the proposed approach.
Other Identifiers: http://www.redalyc.org/articulo.oa?id=61527437014
Aparece en las Colecciones:Computación y Sistemas

Archivos de este documento:
No hay archivos asociados a este documento.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.