Speech Communication - Special issue on interactive voice technology for telecommunication applications (IVITA '96)
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Vector-based natural language call routing
Computational Linguistics
Journal of Artificial Intelligence Research
A probabilistic framework for dialog simulation and optimal strategy learning
IEEE Transactions on Audio, Speech, and Language Processing
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Hard vs. Fuzzy Clustering for Speech Utterance Categorization
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Potential Benefits of Human-Like Dialogue Behaviour in the Call Routing Domain
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Are We There Yet? Research in Commercial Spoken Dialog Systems
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Prototype of Czech spoken dialog system with mixed initiative for railway information service
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Multimodal interface model for socially dependent people
COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment
Robust Design and Control of Call Centers with Flexible Interactive Voice Response Systems
Manufacturing & Service Operations Management
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
Evaluating language understanding accuracy with respect to objective outcomes in a dialogue system
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data
A domain-independent statistical methodology for dialog management in spoken dialog systems
Computer Speech and Language
Hi-index | 0.00 |
The goal of this paper is to give a description of the state of the art, the issues, the problems, and the solutions related to industrial dialog systems for the automation of technical support. After a general description of the evolution of the spoken dialog industry, and the challenges in the development of technical support applications, we will discuss two specific problems through a series of experimental results. The first problem is the identification of the call reason, or symptom, from loosely constrained user utterances. The second is the use of data for the experimental optimization of the Voice User Interface (VUI).