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Non-Axiomatic Logic Modeling of English Texts for Knowledge Discovery and Commonsense Reasoning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AE4CF77YK" target="_blank" >RIV/00216208:11320/23:E4CF77YK - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2076-3417/13/20/11535" target="_blank" >https://www.mdpi.com/2076-3417/13/20/11535</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/app132011535" target="_blank" >10.3390/app132011535</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Non-Axiomatic Logic Modeling of English Texts for Knowledge Discovery and Commonsense Reasoning

  • Original language description

    "Non-axiomatic logic (NAL) is a term-based, non-monotonic, multi-valued logic with evidence-based formal semantics. All those characteristics position NAL as an excellent candidate for modeling natural language expressions and supporting artificial agents while performing knowledge discovery and commonsense reasoning tasks. In this article, we propose a set of rules for the automatic translation of natural language (NL) text into the formal language of non-axiomatic logic (NAL)."

  • 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

    "Applied Sciences"

  • ISSN

    2076-3417

  • e-ISSN

  • Volume of the periodical

    13

  • Issue of the periodical within the volume

    20

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    20

  • Pages from-to

    1-20

  • UT code for WoS article

  • EID of the result in the Scopus database