Autores
Méndez Martínez Oscar
Calvo Castro Francisco Hiram
Moreno Armendáriz Marco Antonio
Título A Reverse Dictionary Based on Semantic Analysis Using WordNet
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Computer Science; 12th Mexican International Conference on Artificial Intelligence, MICAI 2013
Resumen In this research we present a new approach for reverse dictionary creation, one purely semantic. We focus on a semantic analysis of input phrases using semantic similarity measures to represent words as vectors in a semantic space previously created assisted by WordNet. Then, applying algebraic analysis we select a sample of candidate words which passes through a filtering process and a ranking phase. Finally, a predefined number of output target words are displayed. A test set of 50 input concepts was created in order to evaluate our system, comparing our experimental results against OneLook Reverse Dictionary to demonstrate that our system provides better results over current available implementations.
Observaciones Advances in Artificial Intelligence and Its Applications
Lugar Distrito Federal
País Mexico
No. de páginas 275-285
Vol. / Cap. 8265
Inicio 2013-11-24
Fin 2013-11-30
ISBN/ISSN 978-3-642-45113-3