A Framework for Unsupervised Learning of Dialogue Strategies


First Edition

Edited by Similar

This book addresses the problems of spoken dialogue system design and especially automatic learning of optimal strategies for man-machine dialogues. Besides the description of the learning methods, this text proposes a framework for realistic simulation of human-machine dialogues based on probabilistic techniques, which allows automatic evaluation and unsupervised learning of dialogue strategies. This framework relies on stochastic modelling of modules composing spoken dialogue systems as well as on user modelling. Special care has been taken to build models that can either be hand-tuned or learned from generic data.


Paperback - In English 12.90 €

Specifications


Publisher
Presses universitaires de Louvain
Co-publisher
Simlar
Title Part
Numéro 2
Author
Olivier Pietquin,
Edited by
Similar,
Collection
SIMILAR
Language
English
Publisher Category
Applied Sciences > Computer Science > Networks and telecommunications
Publisher Category
Applied Sciences
BISAC Subject Heading
COM000000 COMPUTERS
Onix Audience Codes
06 Professional and scholarly
CLIL (Version 2013-2019)
3238 Réseaux et Télécommunications
Title First Published
01 January 2004
Type of Work
Thesis
Original Language
English

Paperback


Publication Date
2004
ISBN-13
9782930344638
Extent
Main content page count : 246
Code
70221
Dimensions
16 x 24 x 1.3 cm
Weight
398 grams
List Price
12.90 €
ONIX XML
Version 2.1, Version 3

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