| Título |
Automatic Detection of Semantic Primitives with Bio-inspired, Multi-Objective, 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 |
doi: 10.12700/APH.14.3.2017.3.7,
JCR impact factor 2016: 0.745 (Q3), |
| Lugar |
Budapest |
| País |
Hungria |
| No. de páginas |
113-128 |
| Vol. / Cap. |
v. 14 no. 3 |
| Inicio |
2018-03-06 |
| Fin |
|
| ISBN/ISSN |
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