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Fuzzy Logic in Natural Language Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801N0C" target="_blank" >RIV/61988987:17610/17:A1801N0C - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fuzzy Logic in Natural Language Processing

  • Original language description

    One of the proclaims often emphasized in paperson fuzzy sets and fuzzy logic is their ability to model semantics of certain linguistic expressions because their inherent vagueness can be captured by fuzzy sets. This direction of research wasinitiated by L. A. Zadeh already in his early papers and since then, most of the applications of fuzzy sets emphasize presence of natural language, at least in hidden form. Still, this ability isnot generally accepted by linguists. In this paper we try to show that capturing linguistic semantics requires more sophisticatedmodels. One possibility has been elaborated in the concept of fuzzy natural logic (FNL) that is a mathematical theory whose roots lay in the concept of natural logic developed by linguists and logicians. We also argue that it is reasonable to develop a simplified model that would capture the main features of the semantics of natural language and thus make it possible to realize sophisticated technical applications. In the paper, we outline how model of the meaning of basic constituents ofnatural language (nouns, adjectives, adverbs, verbs) has been elaborated in FNL.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10100 - Mathematics

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

  • ISBN

    978-1-5090-6035-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    132-137

  • Publisher name

    IEEE

  • Place of publication

    Naples, Italy

  • Event location

    Neapol

  • Event date

    Jul 9, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article