Features for named entity recognition in 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%3A43896941" target="_blank" >RIV/49777513:23520/11:43896941 - 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
Features for named entity recognition in Czech language
Original language description
This paper deals with Named Entity Recognition (NER). The main contribution of this work is to propose and evaluate some different features for the NER and to create an optimal set of features. We use Conditional Random Fields (CRFs) as a classifier. Oursystem is tested on a Czech NER corpus with nine main named entity classes. We reached 58% of the F-measure with the best feature set.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
proceedings international conference on knowledge engineering and ontology development
ISBN
978-989-8425-80-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
437-441
Publisher name
SciTePress
Place of publication
Setúbal
Event location
Paris
Event date
Oct 26, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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