Automatic Topic Identification for Large Scale Language Modeling Data Filtering

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898188" target="_blank" >RIV/49777513:23520/11:43898188 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-23538-2_9" target="_blank" >http://dx.doi.org/10.1007/978-3-642-23538-2_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-23538-2_9" target="_blank" >10.1007/978-3-642-23538-2_9</a>

Result language
angličtina
Original language name
Automatic Topic Identification for Large Scale Language Modeling Data Filtering
Original language description
The paper presents a module for topic identification that is embedded into a complex system for acquisition and storing large volumes of text data from the Web. The module processes each of the acquired data items and assigns keywords to them from a defined topic hierarchy that was developed for this purposes and is also described in the paper. The quality of the topic identification is evaluated in two ways - using classic precision-recall measures and also indirectly, by measuring the ASR performanceof the topic-specific language models that are built using the automatically filtered data.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Project
<a href="/en/project/TA01011264" target="_blank" >TA01011264: Elimination of the language barriers faced by the handicapped watchers of the Czech Television II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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