Data-Driven Methods for Adaptive Spoken Dialogue Systems Computational Learning for Conversational Interfaces /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lemon, Oliver (Επιμελητής έκδοσης), Pietquin, Olivier (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2012.
• Θέματα: Computer science.; Arithmetic and logic units, Computer.; User interfaces (Computer systems).; Computer simulation.; Computational linguistics.; Computer Science.; User Interfaces and Human Computer Interaction.; Computational Linguistics.; Signal, Image and Speech Processing.; Simulation and Modeling.; Arithmetic and Logic Structures.

The EC FP7 project “Computational Learning in Adaptive Systems for Spoken Conversation” (CLASSiC) was a European initiative working on a fully data-driven architecture for the development of conversational interfaces, as well as new machine learning approaches for their sub-components. It developed...

Πίνακας περιεχομένων:

• Chapter 1. Conversational Interfaces
• Chapter 2. Developing Dialogue Managers from Limited Amounts of Data
• Chapter 3. Data-Driven Methods for Spoken Language Understanding
• Chapter 4. User Simulation in the Development of Statistical Spoken Dialogue Systems
• Chapter 5. Optimisation for POMDP-based Spoken Dialogue Systems
• Chapter 6. Statistical Approaches to Adaptive Natural Language Generation
• Chapter 7. Metrics and Evaluation of Spoken Dialogue Systems
• Chapter 8. Data-Driven Methods in Industrial Spoken Dialog Systems
• Chapter 9. Future Research Directions.