Machine Learning for Semantic Parsing in Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318122" target="_blank" >RIV/00216208:11320/15:10318122 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Machine Learning for Semantic Parsing in Review
Original language description
Spoken Language Understanding (SLU) and more specifically, semantic parsing is an indispensable task in each speech-enabled application. In this survey, we review the current research on SLU and semantic parsing with emphasis on machine learning techniques used for these tasks. Observing the current trends in semantic parsing, we conclude our discussion by suggesting some of the most promising future research trends.
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
Proceedings of 7rd Language and Technology Conference
ISBN
978-83-932640-8-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
535-539
Publisher name
Fundacja Uniwersytetu im. Adama Mickiewicza w Poznaniu
Place of publication
Poznań, Poland
Event location
Poznań, Poland
Event date
Nov 27, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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