Statistical user simulation is an efficient and effective way to train and evaluate the performance of a (spoken) dialog system. In this paper, we design and evaluate a modular da...
The automatic recognition of user’s communicative style within a spoken dialog system framework, including the affective aspects, has received increased attention in the past f...
Serdar Yildirim, Shrikanth Narayanan, Alexandros P...
The importance of dialog management systems has increased in recent years. Dialog systems are created for domain specific applications, so that a high demand for a flexible dialog...
The main goal of dialog management is to provide all information needed to perform e. g. a SQL-query, a navigation task, etc. Two principal approaches for dialog management systems...
Dialog modeling in robotics suffers from lack of generalizability, due to the fact that the dialog is heavily influenced by the tasks the robot is able to perform. We introduce in...
Statistical user simulation is a promising methodology to train and evaluate the performance of (spoken) dialog systems. We work with a modular architecture for data-driven simula...
In this paper we present a proposal for the development of dialog systems that, on the one hand, takes into account the benefits of using standards like VoiceXML, whilst on the ot...
We investigate the clarification strategies exhibited by a hybrid POMDP dialog manager based on data obtained from a phone-based user study. The dialog manager combines task struc...
Sebastian Varges, Silvia Quarteroni, Giuseppe Ricc...
We present a new methodology of user simulation applied to the evaluation and refinement of stochastic dialog systems. Common weaknesses of these systems are the scarceness of the...
In this paper a method for controlling the dialog in a natural language (NL) system is presented. It provides a deep modeling of information processing based on time dependent pro...