Confidence measures for semi-automatic labeling of Dialog Acts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F07%3A00502233" target="_blank" >RIV/49777513:23520/07:00502233 - 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
Confidence measures for semi-automatic labeling of Dialog Acts
Original language description
This paper deals with semi-supervised classifier training for automatic Dialog Acts (DAs) recognition. This is realized using a semi-supervised approach based on the Expectation-Maximization (EM) algorithm. The use of confidence measures to filter out incorrectly recognized dialog acts is required to improve the results.
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
<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Conference on Acoustics, Speech, and Signal Processing
ISBN
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ISSN
1520-6149
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
New York
Event location
Honolulu
Event date
Apr 20, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000248909200039