Data-Driven Methods for Adaptive Spoken Dialogue Systems (Record no. 101518)
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000 -LEADER | |
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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 | |
fixed length control field | cr nn 008mamaa |
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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337 ## - | |
-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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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 |
912 ## - | |
-- | ZDB-2-SCS |
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