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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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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
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e-ISSN
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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
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