Open AccessNeural network models in the problems of semantic analysis of natural language texts.
Author(s) -
Maxim G. Shishaev
Publication year - 2020
Publication title -
trudy kolʹskogo naučnogo centra ran
Language(s) - English
Resource type - Journals
ISSN - 2307-5252
DOI - 10.37614/2307-5252.2020.8.11.008
Subject(s) - computer science , natural language processing , artificial intelligence , semantic analysis (machine learning) , natural language , typology , semantic compression , semantic network , natural language understanding , semantic computing , artificial neural network , linguistics , semantic technology , history , semantic web , philosophy , archaeology
The paper deals with the problem of text analysis focused on the formation of a semantic model of the subject area. A two-stage structure of the problem of semantic analysis is proposed, and the typology of text models used to determine features and form a target model is considered. Examples of the application of the neural network approach to various problems of the analysis of natural language texts are given.