Theory and Applications of Natural Language Processing

Reinforcement Learning for Adaptive Dialogue Systems

A Data-driven Methodology for Dialogue Management and Natural Language Generation

Authors: Rieser, Verena, Lemon, Oliver

  • A new methodology for developing spoken dialogue systems is described in detail
  • A research guide for students and researchers
  • This work provides insights, lessons, and inspiration for future research
see more benefits

Buy this book

eBook $109.00
price for USA
  • ISBN 978-3-642-24942-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-24941-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-3-642-43984-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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 ongoing change. A new  methodology for developing spoken dialogue systems is described in detail. The journey starts and ends with human behaviour in interaction, and explores methods for learning from the data, for building simulation environments for training and testing systems, and for evaluating the results. The detailed material covers: Spoken and Multimodal dialogue systems, Wizard-of-Oz data collection, User Simulation methods, Reinforcement Learning, and Evaluation methodologies.

The book is a research guide for students and researchers with a background in Computer Science, AI, or Machine Learning. It navigates through a detailed case study in data-driven methods for development and evaluation of spoken dialogue systems. Common challenges associated with this approach are discussed and example solutions are provided. This work provides insights, lessons, and inspiration for future research and development – not only for spoken dialogue systems in particular, but for data-driven approaches to human-machine interaction in general.

About the authors

Professor Oliver Lemon leads the Interaction Lab in the School of Mathematical and Computer Sciences (MACS) at Heriot-Watt University, Edinburgh. He previously worked at the School of Informatics, University of Edinburgh, and at Stanford University. His main expertise is in the area of machine learning methods for intelligent and adaptive multimodal interfaces, including work on Speech Recognition, Spoken Language Understanding, Dialogue Management, and Natural Language Generation. He applies this work in new interfaces for mobile search, virtual characters, Technology Enhanced Learning, and Human-Robot Interaction, in a variety of international research projects.

 

Dr Verena Rieser is a Lecturer in Computer Science at Heriot-Watt University, Edinburgh. She previously worked at Edinburgh University in the Schools of Informatics and GeoSciences, performing research in data-driven statistical methods for multimodal interfaces, as well as for modelling impacts of environmental change for sustainable development. She received her PhD (with distinction) from Saarland University in 2008, winning the Eduard-Martin prize.

Table of contents (10 chapters)

  • Introduction

    Rieser, Verena (et al.)

    Pages 1-6

  • Background

    Rieser, Verena (et al.)

    Pages 9-27

  • Reinforcement Learning

    Rieser, Verena (et al.)

    Pages 29-52

  • Proof-of-Concept: Information Seeking Strategies

    Rieser, Verena (et al.)

    Pages 53-70

  • The Bootstrapping Approach to Developing Reinforcement Learning-based Strategies

    Rieser, Verena (et al.)

    Pages 73-83

Buy this book

eBook $109.00
price for USA
  • ISBN 978-3-642-24942-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-24941-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-3-642-43984-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Bibliographic Information

Bibliographic Information
Book Title
Reinforcement Learning for Adaptive Dialogue Systems
Book Subtitle
A Data-driven Methodology for Dialogue Management and Natural Language Generation
Authors
Series Title
Theory and Applications of Natural Language Processing
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-24942-6
DOI
10.1007/978-3-642-24942-6
Hardcover ISBN
978-3-642-24941-9
Softcover ISBN
978-3-642-43984-1
Series ISSN
2192-032X
Edition Number
1
Number of Pages
XVI, 256
Topics