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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