Direct relation detection for knowledge-based question answering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A2NVK5Y49" target="_blank" >RIV/00216208:11320/23:2NVK5Y49 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0957417422017134" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0957417422017134</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2022.118678" target="_blank" >10.1016/j.eswa.2022.118678</a>
Alternative languages
Result language
angličtina
Original language name
Direct relation detection for knowledge-based question answering
Original language description
"This study addresses the problem of relation detection for answering single-relation factoid questions over knowledge bases (KBs). In this kind of questions, the answer is obtained from a single KB fact in the form of subject-predicate-object."
Czech name
—
Czech description
—
Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"Expert Systems with Applications"
ISSN
0957-4174
e-ISSN
—
Volume of the periodical
211
Issue of the periodical within the volume
2023
Country of publishing house
US - UNITED STATES
Number of pages
118678
Pages from-to
1-118678
UT code for WoS article
—
EID of the result in the Scopus database
—