|
|
|
|
LEADER |
02678nmm a2200361 u 4500 |
001 |
EB000362938 |
003 |
EBX01000000000000000215990 |
005 |
00000000000000.0 |
007 |
cr||||||||||||||||||||| |
008 |
130626 ||| eng |
020 |
|
|
|a 9781441997289
|
100 |
1 |
|
|a Bühler, Dirk
|
245 |
0 |
0 |
|a Domain-Level Reasoning for Spoken Dialogue Systems
|h Elektronische Ressource
|c by Dirk Bühler, Wolfgang Minker
|
250 |
|
|
|a 1st ed. 2011
|
260 |
|
|
|a New York, NY
|b Springer New York
|c 2011, 2011
|
300 |
|
|
|a XIII, 185 p
|b online resource
|
505 |
0 |
|
|a 1: Introduction -- 2: Fundamentals of Dialogue Systems -- 3: First‐Order Logic -- 4: Logic‐Based Domain Modelling -- 5: Interactive Model Generation -- 6: A Prototype Based on VoiceXML -- 7: Information State‐Based Dialogue Management -- 8: Revised Prototype and System Architecture -- 9: Conclusions and Future Directions
|
653 |
|
|
|a User interfaces (Computer systems)
|
653 |
|
|
|a Computational intelligence
|
653 |
|
|
|a Computational Intelligence
|
653 |
|
|
|a Signal, Speech and Image Processing
|
653 |
|
|
|a Natural Language Processing (NLP)
|
653 |
|
|
|a Signal processing
|
653 |
|
|
|a User Interfaces and Human Computer Interaction
|
653 |
|
|
|a Human-computer interaction
|
653 |
|
|
|a Natural language processing (Computer science)
|
700 |
1 |
|
|a Minker, Wolfgang
|e [author]
|
041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
028 |
5 |
0 |
|a 10.1007/978-1-4419-9728-9
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-1-4419-9728-9?nosfx=y
|x Verlag
|3 Volltext
|
082 |
0 |
|
|a 006.3
|
520 |
|
|
|a Domain-Level Reasoning for Spoken Dialogue Systems provides a logic‐based reasoning component for spoken language dialogue systems. This component, called the Problem Assistant is responsible for processing constraints on a possible solution obtained from various sources, namely user and the system's domain-specific information. The authors present findings on the implementation of a dialogue management interface to the Problem Assistant. The dialogue system supports simple mixed‐initiative planning interactions in the TRAINS domain, which is still a relatively complex domain involving a number of logical constraints and relations forming the basis for the collaborative problem-solving behavior that drives the dialogue. The book also: Presents novel methods for enabling spoken dialogue systems to construct and manage complex tasks and interdependencies with different applications Describes late-breaking research on next-generation spoken dialogue systems Investigates how spoken dialogue systems may be improved in terms of usability and user friendliness
|