KFU. Card publication. Analysis of the Semantic Distance of Words in the RuWordNet Thesaurus

KAZAN
FEDERAL UNIVERSITY

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ANALYSIS OF THE SEMANTIC DISTANCE OF WORDS IN THE RUWORDNET THESAURUS

Form of presentation

Conference proceedings in Russian journals and collections

Year of publication

2020

Язык

английский

Authors, employees of KFU

Bochkarev Vladimir Vladimirovich, author

Erofeeva Irina Valerevna, author

Solovev Valeriy Dmitrievich, author

Usmanova Liliya Abrarovna, author

Bibliographic description in the original language

Usmanova L., Erofeeva I., Solovyev V., Bochkarev B. Analysis of the Semantic Distance of Words in the RuWordNet Thesaurus // Data Analytics and Management in Data Intensive Domains: KhKhII International Conference DAMDID/RCDL' 2020 (October 13–16, 2020, Voronezh, Russia): Extended Abstracts of the Conference. Edited bu Bernhard Thalheim, Sergey Makhortov, Alexander Sychev. – Voronezh : Voronezh State University, 2020. - Rr. 54-56.

Annotation

Data Analytics and Management in Data Intensive Domains: ХХII International Conference DAМDID/RCDL' 2020

Keywords

Quasi-synonymy, Analogues, Thesaurus, RuWordNet, Synset, Synonymy, Semantic Network.

The name of the journal

Data Analytics and Management in Data Intensive Domains: ХХII International Conference DAМDID/RCDL' 2020

URL

http://damdid2020.cs.vsu.ru/news.html

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=243223&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bochkarev Vladimir Vladimirovich	ru_RU
dc.contributor.author	Erofeeva Irina Valerevna	ru_RU
dc.contributor.author	Solovev Valeriy Dmitrievich	ru_RU
dc.contributor.author	Usmanova Liliya Abrarovna	ru_RU
dc.date.accessioned	2020-01-01T00:00:00Z	ru_RU
dc.date.available	2020-01-01T00:00:00Z	ru_RU
dc.date.issued	2020	ru_RU
dc.identifier.citation	Usmanova L., Erofeeva I., Solovyev V., Bochkarev B. Analysis of the Semantic Distance of Words in the RuWordNet Thesaurus // Data Analytics and Management in Data Intensive Domains: ХХII International Conference DAМDID/RCDL' 2020 (October 13–16, 2020, Voronezh, Russia): Extended Abstracts of the Conference. Edited bу Bernhard Thalheim, Sergey Makhortov, Alexander Sychev. – Voronezh : Voronezh State University, 2020. - Рр. 54-56.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=243223&p_lang=2	ru_RU
dc.description.abstract	Data Analytics and Management in Data Intensive Domains: ХХII International Conference DAМDID/RCDL' 2020	ru_RU
dc.description.abstract	The article presents the analyses of analogues in the RuWordNet the- saurus regarding their semantic distance. Consideration of analogues is by na- ture a comprehensive analysis for identifying of possible routes for each pair of words with application of both traditional linguistic methods and approaches of cognitive and corpus linguistics. The lack of semantic connections between some members of the series, as well as the inconsistency of their routes with the general linguistic representations established in the dictionaries serves the basis for distance spacing between words in the RuWordNet thesaurus. Methods for bringing analogues, which are remote in the RuWordNet thesaurus, closer to- gether, were proposed basing on a comparative analysis of the data in the ex- planatory dictionaries and in the New Explanatory Dictionary of Synonyms of the Russian Language, taking into account semantic relations of inclusion or meanings intersection. Basing on the obtained data, recommendations to reduce the distances between analogues were formulated for RuWordNet; and general principles of analysis were proposed, which could be useful for RuWordNet verifying.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Quasi-synonymy	ru_RU
dc.subject	Analogues	ru_RU
dc.subject	Thesaurus	ru_RU
dc.subject	RuWordNet	ru_RU
dc.subject	Synset	ru_RU
dc.subject	Synonymy	ru_RU
dc.subject	Semantic Network.	ru_RU
dc.title	Analysis of the Semantic Distance of Words in the RuWordNet Thesaurus	ru_RU
dc.type	Conference proceedings in Russian journals and collections	ru_RU