Fuzzy Logic in Natural Language Processing

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Fuzzy Logic in Natural Language Processing

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Fuzzy Logic in Natural Language Processing

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10100 - Mathematics

Projekt

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

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

132-137

Název nakladatele

IEEE

Místo vydání

Naples, Italy

Místo konání akce

Neapol

Datum konání akce

9. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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