Intelligent search agents using Web-driven natural language explanatory dialogs

Although traditional keyword-based information search systems can provide a first stepfor use in the overall search process, the challenges is to perform tasks more accurately and intelligently, applying a user's knowledge to improve search capabilities. The authors explore the generation of natural-language interactive dialogs for bibliographical searching on the Web to improve the searching and filtering process by minimizing user exchanges. Their approach focuses on enhancing the information-searching paradigm with both a computational linguistics model and a more suitable search agent.