Data-Driven Methods for Adaptive Spoken Dialogue Systems (Record no. 101518)

000 -LEADER
fixed length control field 04095nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-1-4614-4803-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083250.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121026s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461448037
-- 978-1-4614-4803-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4614-4803-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.U83
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.H85
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYZG
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM070000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.437
Edition number 23
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 4.019
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Lemon, Oliver.
Relator term editor.
245 10 - TITLE STATEMENT
Title Data-Driven Methods for Adaptive Spoken Dialogue Systems
Medium [electronic resource] :
Remainder of title Computational Learning for Conversational Interfaces /
Statement of responsibility, etc edited by Oliver Lemon, Olivier Pietquin.
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2012.
300 ## - PHYSICAL DESCRIPTION
Extent IX, 177 p. 35 illus., 8 illus. in color.
Other physical details online resource.
336 ## -
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-- computer
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-- rdamedia
338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc 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 a variety of novel statistical methods for spoken dialogue processing, for extended conversational interaction, which are now collected together in this book. A major focus of the project was in tracking the accumulation of information about user goals over multiple dialogue turns (i.e.\ extended conversational interaction), and in maintaining overall system robustness even when speech recognition results contain errors, by managing uncertainty through the processing chain. Other advances were made in the areas of adaptive natural language generation (NLG), statistical methods for spoken language understanding (SLU), and machine learning methods for system optimisation, either during online operation, simulation, or from small amounts of data. This book collects together the main research results and lessons learned in the CLASSiC project. Each chapter provides a summary of the specific methods developed and results obtained in its particular research area. In addition, leading researchers in statistical methods applied to industrial-scale dialogue systems (from SpeechCycle) have contributed a chapter surveying their recent work. This volume will serve as a valuable introduction to the current state-of-the-art in statistical approaches to developing conversational interfaces, for active researchers in the field in industry and academia, as well as for students who are considering working in this exciting area.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer simulation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational linguistics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element User Interfaces and Human Computer Interaction.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Linguistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Simulation and Modeling.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Arithmetic and Logic Structures.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pietquin, Olivier.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461448020
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-4803-7
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