A SELF-SYSTEM TO IDENTIFY CONCEPTUAL RELATIONSHIPS IN A TEXT

A SELF-SYSTEM TO IDENTIFY CONCEPTUAL RELATIONSHIPS IN A TEXT

The purpose of this study is to identify conceptual relationships in texts based on the use of logic and linguistic models of textual information. There are analyzed tools for building meaningful relationships within text documents. This analysis compares the creation of thematic progressions and a...

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Bibliographic Details
Main Author: Anastasia Vavilenkova
Format: Article
Language:English
Published: National Aviation University 2015-04-01
Series:Vìsnik Nacìonalʹnogo Avìacìjnogo Unìversitetu
Subjects:
concptual relationships
logic and linguistic model
natural language
transition network
semantic modling
Online Access:http://jrnl.nau.edu.ua/index.php/visnik/article/view/7780
Description
Summary:The purpose of this study is to identify conceptual relationships in texts based on the use of logic and linguistic models of textual information. There are analyzed tools for building meaningful relationships within text documents. This analysis compares the creation of thematic progressions and a finite state transition network. This work demonstrates the disadvantages of the augmented finite state transition network and highlights the advantages of constructing logic and linguistic models of natural language sentences as the key operation mechanism of self-system. Identifying of conceptual relationships is possible by matching and replacing the predicate variables and constants.
ISSN:1813-1166
2306-1472

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