Verification of lexic ontologies by the method of using semantic proximity of words calculated by large corpus of texts

dc.contributor.author	Bayrasheva V.R.
dc.contributor.author	Loukachevitch N.V.
dc.date.accessioned	2021-02-25T06:52:16Z
dc.date.available	2021-02-25T06:52:16Z
dc.date.issued	2020
dc.identifier.issn	1742-6588
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/161196
dc.description.abstract	© Published under licence by IOP Publishing Ltd. The paper analyzes the concepts and relations between them in the RuWordNet digital thesaurus of the Russian language. Semantically related words automatically extracted from the corpus of texts are compared with the words of the thesaurus. The characteristic cases of information gap (omission of word meanings and semantic relationships) in the thesaurus are revealed, their causes of a computer and cognitive nature are described. Recommendations on improving the RuWordNet thesaurus are given.
dc.relation.ispartofseries	Journal of Physics: Conference Series
dc.title	Verification of lexic ontologies by the method of using semantic proximity of words calculated by large corpus of texts
dc.type	Conference Paper
dc.relation.ispartofseries-issue	1
dc.relation.ispartofseries-volume	1680
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS17426588-2020-1680-1-SID85098572212

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Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.