Open AccessIdentifying semantic relations between sentences by solving an anaphora
Author(s) -
Ю.М. Главчева,
Olga Kanishcheva,
Maryna Vovk
Publication year - 2020
Publication title -
sistemi obrobki ìnformacìï
Language(s) - English
Resource type - Journals
eISSN - 2518-1696
pISSN - 1681-7710
DOI - 10.30748/soi.2020.162.04
Subject(s) - anaphora (linguistics) , natural language processing , computer science , predicate (mathematical logic) , pronoun , antecedent (behavioral psychology) , artificial intelligence , linguistics , identification (biology) , psychology , programming language , resolution (logic) , philosophy , developmental psychology , botany , biology
This paper presents the method of semantic relations identification by solving the anaphora, specifically to determine the nature of relations between sentences in scientific texts. Authors explored the use of the pronoun "anaphora", developed a mathematical predicate model to determine the anaphora and antecedent and described the relationships between them for fragments in the Ukrainian language. Authors conducted an experiment based on the developed model and the logical network that was build based on presented predicate model.