Extraction of Semantic Relations from Wikipedia Text Corpus

dc.contributor.author	Shanidze, O.	en
dc.contributor.author	Petrasova, S. V.	en
dc.date.accessioned	2020-05-22T13:06:39Z
dc.date.available	2020-05-22T13:06:39Z
dc.date.issued	2019
dc.description.abstract	This 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.	en
dc.identifier.citation	Shanidze 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).	en
dc.identifier.orcid	https://orcid.org/0000-0001-6011-135X
dc.identifier.uri	https://repository.kpi.kharkov.ua/handle/KhPI-Press/46385
dc.language.iso	en
dc.subject	semantic relations	en
dc.subject	rule-based approach	en
dc.subject	Wikipedia	en
dc.subject	text corpus	en
dc.subject	synsets	en
dc.subject	WordNet	en
dc.title	Extraction of Semantic Relations from Wikipedia Text Corpus	en
dc.type	Thesis	en

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