Semantic Features for Dialogue Act Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43927219" target="_blank" >RIV/49777513:23520/15:43927219 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-25789-1_15" target="_blank" >http://dx.doi.org/10.1007/978-3-319-25789-1_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-25789-1_15" target="_blank" >10.1007/978-3-319-25789-1_15</a>
Alternative languages
Result language
angličtina
Original language name
Semantic Features for Dialogue Act Recognition
Original language description
Dialogue act recognition commonly relies on lexical, syntactic, prosodic and/or dialogue history based features. However, few approaches exploit semantic information. The main goal of this paper is thus to propose semantic features and integrate them into a dialogue act recognition task to improve the recognition score. Three different feature computation approaches are proposed, evaluated and compared: Latent Dirichlet Allocation and the HAL and COALS semantic spaces. An interesting contribution is that all the features are created without any supervision. These approaches are evaluated on a Czech dialogue corpus. We experimentally show that all proposed approaches significantly improve the recognition accuracy
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/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
Third International Conference on Statistical Language and Speech Processing (SLSP 2015)
ISBN
978-3-319-25788-4
ISSN
0302-9743
e-ISSN
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Number of pages
11
Pages from-to
153-163
Publisher name
Springer
Place of publication
Cham
Event location
Budapest
Event date
Nov 24, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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