Semantic Analysis of Texts Presented in Natural Language | Zendy

O. F. Voloshyn | Zendy; Leonid Sviatogor | Zendy; Vladislav Morgun | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Semantic Analysis of Texts Presented in Natural Language

Author(s) -

O. F. Voloshyn,

Leonid Sviatogor,

Vladislav Morgun

Publication year - 2019

Publication title -

bulletin of taras shevchenko national university of kyiv series physics and mathematics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research