Acquiring and Evaluating a Dialog Corpus through a Dialog Simulation Technique

In this paper, we present an approach for automatically acquiring a dialog corpus by means of the interaction of a dialog manager and a user simulator. A random selection of the answers has been used for the operation of both modules, defining stop conditions for automatically deciding if the dialog is successful or not. Therefore, an initial corpus is not necessary to develop these two modules. In this work, we use a statistical dialog manager to evaluate the behavior of the corpus acquired using this approach. This dialog manager has been learned from the simulated corpus and has been evaluated using a previous corpus acquired for the task with real users.