Improving Automatic Ontology Developement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00062222" target="_blank" >RIV/00216224:14330/12:00062222 - 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
Improving Automatic Ontology Developement
Original language description
This article describes the approach to build a new semantic network, which contains not only positive semantic labeling, but also the negative information. In order to obtain high quality data for the following use in machine learning and machine translation, we have created method based on automatically pre-generated data from the large corpora, followed by manual annotation. In this way, the core of semantic network was produced, which can be expanded to improve corpora coverage.
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/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
6th Workshop on Recent Advances in Slavonic Natural Language Processing
ISBN
9788026303138
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
105-110
Publisher name
Tribun EU
Place of publication
Brno
Event location
Karlova Studánka
Event date
Dec 7, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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