Un Modelo de Agente de Búsqueda y Filtrado de Información Inteligente Apoyado por Interacciones en Lenguaje Natural

This paper presents a model and its design and implementation issues needed to create intelligent agents forinformation searching and filtering. It is done in order to decrease the information overload which users are exposedto.The modelo is based on a proposal of a computational linguistics model for generating interactive dialog discoursesbetween user and system. A computational linguistics processing of those discourse dialogs is used as input streams forthe agent to carry out the retrieval/searching and filtering tasks on electronic documents.A system implemented by using this approach is shown. In addition, some results got from different real experiments are discussed too.