Learning to Interrupt the User at the Right Time in Incremental Dialogue Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F18%3A43952602" target="_blank" >RIV/49777513:23520/18:43952602 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-00794-2_54" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-00794-2_54</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-00794-2_54" target="_blank" >10.1007/978-3-030-00794-2_54</a>
Alternative languages
Result language
angličtina
Original language name
Learning to Interrupt the User at the Right Time in Incremental Dialogue Systems
Original language description
Continuous processing of input in incremental dialogue systems might result in the need of interrupting a user’s utterance when clarification or rapport is needed. Being able to predict the right time when to interrupt the utterance can be another step to a more humanlike dialogue. On the other hand, annotation of corpora with different types of possible interruptions requires additional human resources. In this paper, we discuss how to process a corpus that does not have interruptions specifically annotated. We also present initial experiments on two corpora and show that it is possible to model the desired behaviour from these corpora.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotics 4 Industry 4.0</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
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 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018, Proceedings
ISBN
978-3-030-00793-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
9
Pages from-to
500-508
Publisher name
Springer Nature Switzerland AG
Place of publication
Cham
Event location
Brno, Czech Republic
Event date
Sep 11, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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