Extraction of semantic relations from Wikipedia text corpus

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2019v2___Proceedings_of_the_3nd_International_conference_COLINS_2019_Workshop_Kharkiv_Ukraine_April_18-19_2019_Shanidze_O-Extraction_of_semantic_relations_74-75.pdf (302.59 KB)
2019v2___Proceedings_of_the_3nd_International_conference_COLINS_2019_Workshop_Kharkiv_Ukraine_April_18-19_2019_Shanidze_O-Extraction_of_semantic_relations_74-75__COVER.png (276.13 KB)

Date

2019-04-18

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Lviv Politechnic Publishing House

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.

Description

Keywords

semantic relations, rule-based approach, Wikipedia, text corpus, synsets, WordNet

Citation

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).

URI

https://ena.lpnu.ua/handle/ntb/45488

Collections

Computational linguistics and intelligent systems. – 2019 р.