Maximum Entropy Named Entity Recognition for Czech Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898562" target="_blank" >RIV/49777513:23520/11:43898562 - 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
Maximum Entropy Named Entity Recognition for Czech Language
Original language description
Named Entity Recognition (NER) is an important preprocessing tool for many Natural Language Processing tasks like Information Retrieval, Question Answering or Machine Translation. This paper is focused on NER for Czech language. The proposed NER is basedon knowledge and experiences acquired on other languages and adapted for Czech. Our recognizer outperforms the previously introduced recognizers for Czech. The article is also focused on the use of semantic spaces for NER. Although no significant improvement was yet achieved in this way, we believe that the research is worth of sharing.
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
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech and Dialogue 2011
ISBN
978-3-642-23537-5
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
203-210
Publisher name
Springer
Place of publication
Berlin
Event location
Plzeň
Event date
Sep 1, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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