Open AccessSemantic Analysis of Texts Presented in Natural Language
Author(s) -
O. F. Voloshyn,
Leonid Sviatogor,
Vladislav Morgun
Publication year - 2019
Publication title -
vìsnik. serìâ fìziko-matematičnì nauki/vìsnik kiì̈vsʹkogo nacìonalʹnogo unìversitetu ìmenì tarasa ševčenka. serìâ fìziko-matematičnì nauki
Language(s) - English
Resource type - Journals
eISSN - 2218-2055
pISSN - 1812-5409
DOI - 10.17721/1812-5409.2019/1.53
Subject(s) - computer science , semantic analysis (machine learning) , natural language understanding , cognition , natural language , natural (archaeology) , artificial intelligence , natural language processing , event (particle physics) , latent semantic analysis , linguistics , cognitive science , psychology , history , philosophy , physics , archaeology , quantum mechanics , neuroscience
The article considers a cognitive approach to one of the problems of artificial intelligence consisting in semantic analysis of texts presented in natural language. Development of methods and means of discourse analysis is a necessary step for building systems of intellectual communication between a person and a computer (robot). A scientific hypothesis is proposed suggesting that an observer of the environment studies and understands the World when he is able to highlight and analyze Facts, Events and Situations. Corresponding linguistic and cognitive structures of these "units of semantic analysis" of the reality - "Fact", "Event", "Situation" and "Sense" - are proposed and justified. The Sense is considered a prerequisite for understanding dialogue and discourse.