LecTrack: Incremental Dialog State Tracking with Long Short-Term Memory Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318186" target="_blank" >RIV/00216208:11320/15:10318186 - isvavai.cz</a>
Result on the web
<a href="http://www.springer.com/us/book/9783319240329" target="_blank" >http://www.springer.com/us/book/9783319240329</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-24033-6_20" target="_blank" >10.1007/978-3-319-24033-6_20</a>
Alternative languages
Result language
angličtina
Original language name
LecTrack: Incremental Dialog State Tracking with Long Short-Term Memory Networks
Original language description
A dialog state tracker is an important component in modern spoken dialog systems. We present the first trainable incremental dialog state tracker that directly uses automatic speech recognition hypotheses to track the state. It is based on a long short-term memory recurrent neural network, and it is fully trainable from annotated data. The tracker achieves promissing performance on the Method and Requested tracking sub-tasks in DSTC2.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LK11221" target="_blank" >LK11221: Development of statistical methods for spoken dalogue systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech, and Dialogue: 18th International Conference, TSD 2015
ISBN
978-3-319-24032-9
ISSN
0302-9743
e-ISSN
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Number of pages
9
Pages from-to
189-197
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Plzeň, Czechia
Event date
Sep 14, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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