Reinforcement Learning for Adaptive Dialogue Systems A Data-driven Methodology for Dialogue Management and Natural Language Generation /

• Κύριοι συγγραφείς: Rieser, Verena (Συγγραφέας), Lemon, Oliver (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Theory and Applications of Natural Language Processing
• Θέματα: Computer science.; User interfaces (Computer systems).; Artificial intelligence.; Computational linguistics.; Computer Science.; Computer Science, general.; Artificial Intelligence (incl. Robotics).; Language Translation and Linguistics.; User Interfaces and Human Computer Interaction.

The past decade has seen a revolution in the field of spoken dialogue systems. As in other areas of Computer Science and Artificial Intelligence, data-driven methods are now being used to drive new methodologies for system development and evaluation. This book is a unique contribution to that ongoin...

Πίνακας περιεχομένων:

• 1.Introduction
• 2.Background
• 3.Reinforcement Learning for Information Seeking dialogue strategies
• 4.The bootstrapping approach to developing Reinforcement Learning-based  strategies
• 5.Data Collection in aWizard-of-Oz experiment
• 6.Building a simulated learning environment from Wizard-of-Oz data
• 7.Comparing Reinforcement and Supervised Learning of dialogue policies with real users
• 8.Meta-evaluation
• 9.Adaptive Natural Language Generation
• 10.Conclusion
• References
• Example Dialogues
• A.1.Wizard-of-Oz Example Dialogues
• A.2.Example Dialogues from Simulated Interaction
• A.3.Example Dialogues from User Testing
• Learned State-Action Mappings
• Index.