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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Lemon, Oliver (Editor ), Pietquin, Olivier (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Temas:
User interfaces (Computer systems).
Human-computer interaction.
Computational linguistics.
Signal processing.
Computer simulation.
Computer arithmetic and logic units.
User Interfaces and Human Computer Interaction.
Computational Linguistics.
Signal, Speech and Image Processing .
Computer Modelling.
Arithmetic and Logic Structures.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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