Hierarchical discriminative model for spoken language understanding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43919661" target="_blank" >RIV/49777513:23520/13:43919661 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICASSP.2013.6639288" target="_blank" >http://dx.doi.org/10.1109/ICASSP.2013.6639288</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSP.2013.6639288" target="_blank" >10.1109/ICASSP.2013.6639288</a>
Alternative languages
Result language
angličtina
Original language name
Hierarchical discriminative model for spoken language understanding
Original language description
The paper presents a new discriminative model for statistical spoken language understanding designed for use in spoken dialog systems. The parsing algorithm uses lexicalized grammar derived from unaligned training data with probability estimates generated by multiclass classifiers. The generated semantic trees are partially aligned with the input sentence to provide lexical realisation of semantic concepts. The model was evaluated on two semantically annotated corpora and in both tasks it outperforms the baseline Hidden Vector State parser and Semantic Tuple Classifiers model. The experiments were performed using both transcribed data and recognized lattices. The innovative aspect of using phoneme lattices in the understanding process instead of word lattices is examined and described.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
ISBN
978-1-4799-0356-6
ISSN
1520-6149
e-ISSN
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Number of pages
5
Pages from-to
8322-8326
Publisher name
IEEE
Place of publication
New York
Event location
Vancouver, BC, Canada
Event date
May 26, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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