TBL template selection: an evolutionary approach

• Milidiú, Ruy Luiz ^[1] ; Duarte, Julio Cesar ^[2] ; Santos, Cícero Nogueira dos ^[1]
  1. [1] Pontifícia Universidade Católica do Rio de Janeiro

     Pontifícia Universidade Católica do Rio de Janeiro

     Brasil

     
  2. [2] Centro Tecnológico do Exército, Rio de Janeiro
• Localización: XII Conferencia de la Asociación Española para la Inteligencia Artificial: (CAEPIA 2007). Actas / coord. por Daniel Borrajo Millán, Luis Castillo Vidal, Juan Manuel Corchado Rodríguez, Vol. 1, 2007, ISBN 978-84-611-8847-5, págs. 177-186
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • Transformation Based Learning (TBL) is an intensively Machine Learning algorithm frequently used in Natural Language Processing. TBL uses rule templates to identify error-correcting patterns. A critical requirement in TBL is the availability of a problem domain expert to build these rule templates. In this work, we propose an evolutionary approach based on Genetic Algorithms to automatically implement the template selection process. We show some empirical evidence that our approach provides template sets with almost the same quality as human built templates.