Shanidze, O.Petrasova, S. V.2020-05-222020-05-222019Shanidze O. Extraction of Semantic Relations from Wikipedia Text Corpus [Electronic resource] / O. Shanidze, S. Petrasova // Computational linguistics and intelligent systems (COLINS 2019) : proc. of the 3d Intern. Conf., April 18-19, 2019. Vol. 2: Workshop / ed.: V. Lytvyn [et al.]. – Electron. text data. – Lviv, 2019. – P. 74-75. – URL: http://colins.in.ua/wp-content/uploads/2019/12/colins_2019_74_75.pdf, free (accessed 22.05.2020).https://repository.kpi.kharkov.ua/handle/KhPI-Press/46385This paper proposes the algorithm for automatic extraction of semantic relations using the rule-based approach. The authors suggest identifying certain verbs (predicates) between a subject and an object of expressions to obtain a sequence of semantic relations in the designed text corpus of Wikipedia articles. The synsets from WordNet are applied to extract semantic relations between concepts and their synonyms from the text corpus.ensemantic relationsrule-based approachWikipediatext corpussynsetsWordNetThesishttps://orcid.org/0000-0001-6011-135X