A SELF-SYSTEM TO IDENTIFY CONCEPTUAL RELATIONSHIPS IN A TEXT
DOI:
https://doi.org/10.18372/2306-1472.62.7780Keywords:
concptual relationships, logic and linguistic model, natural language, transition network, semantic modlingAbstract
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.References
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