Detecting Semantic Relations in Texts and Their Integration with External Data Resources
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194653" target="_blank" >RIV/00216208:11320/13:10194653 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Detecting Semantic Relations in Texts and Their Integration with External Data Resources
Original language description
We present our initial steps towards a linguistic processing of texts to detect semantic relations in them. Our work is an essential part of the INTLIB project whose aim is to provide a more efficient and user-friendly tool for querying textual documentsother than full-text search. This tool is proposed as a general framework which can be modified and extended for particular data domains. Currently, we focus on Czech legal texts.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
WDS'13 Proceedings of Contributed Papers
ISBN
978-80-7378-250-4
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
18-23
Publisher name
Matfyzpress
Place of publication
Praha, Czechia
Event location
Praha, Czechia
Event date
Jun 4, 2013
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
—