Extraction of semantic relations from Wikipedia text corpus
Lviv Politechnic Publishing House
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.
semantic relations , rule-based approach , Wikipedia , text corpus , synsets , WordNet
Shanidze O. Extraction of semantic relations from Wikipedia text corpus / Olexandr Shanidze, Svitlana Petrasova // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 74–75. — (Student section).