Automatic Generation of Dialogues based on Grammatical Inference and the use of a Knowledge Base
Andrés Vázquez, David Pinto, Juan Pallares, Rafael De la Rosa, Elia Tecotl · Journal of Intelligent & Fuzzy Systems · 2020
In this work, we present a model for the automatic generation of written dialogues, through the use of grammatical inference. This model allows the automatic recognition of grammars from a set dialogues employed as a training set. The inferred grammars are then used to generate templates of responses within the dialogues. The final objective is to apply this model in a specific domain dialogue system that answers questions in Spanish with the use of a knowledge base. The experiments carried out have been performend using the DIHANA project corpus which contains dialogues written in Spanish about schedules and prices of a rail system.