Autores
Cruz Cortés Nareli
Sidorov Grigori
Título Automatic detection of semantic primitives with multi-objective bioinspired algorithms and weighting algorithms
Tipo Revista
Sub-tipo JCR
Descripción Acta Polytechnica Hungarica
Resumen This paper proposes the usage of computational techniques that allow for automatic analysis of the vocabulary contained in an explanatory dictionary. It is proposed for the extraction of a set of words, called semantic primitives, which are considered those allowing the creation of a system used to establish definitions in dictionaries. The proposed approach is based on the representation of a dictionary as a directed graph and the combination of a multi-objective differential evolution algorithm with the PageRank weighting algorithm. The differential evolution algorithm extracted a set of primitives that fulfill two objectives: minimize the set size and maximize its degree of representation (PageRank), allowing the creation of a computational dictionary without cycles in its definitions. We experimented with a RAE dictionary of Spanish. Our results present improvement over other algorithms that are representative of the state-of-the-art
Observaciones http://www.uni-obuda.hu/journal/Pichardo-Lagunas_Sidorov_Gelbukh_Cruz-Cortez_Martinez-Rebollar_74.pdf
Lugar Budapest
País Hungria
No. de páginas 16
Vol. / Cap. 14
Inicio 2017-11-03
Fin
ISBN/ISSN