| 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 |
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