Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs

The paper presents the results of investigating distributional semantics’ potential in its realization in the form Web-service RusVectōrēs. The question about applying the service for studying semantics of Russian verbs is considered. The research urgency is caused by insufficient level of informati...

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Autor principal:	M. K. Timofeeva
Formato:	article
Lenguaje:	RU
Publicado:	Tsentr nauchnykh i obrazovatelnykh proektov 2018
Materias:	rusvectōrēs lexical semantics distributional semantics lexical functions machine learning russian verbs Slavic languages. Baltic languages. Albanian languages PG1-9665
Acceso en línea:	https://doaj.org/article/9a511e90727d4ab9bca3c69faeb050a0
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id	oai:doaj.org-article:9a511e90727d4ab9bca3c69faeb050a0
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spelling	oai:doaj.org-article:9a511e90727d4ab9bca3c69faeb050a02021-12-02T07:58:05ZPossibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs2225-756X2227-129510.24224/2227-1295-2018-9-117-131https://doaj.org/article/9a511e90727d4ab9bca3c69faeb050a02018-09-01T00:00:00Zhttps://www.nauka-dialog.ru/jour/article/view/899https://doaj.org/toc/2225-756Xhttps://doaj.org/toc/2227-1295The paper presents the results of investigating distributional semantics’ potential in its realization in the form Web-service RusVectōrēs. The question about applying the service for studying semantics of Russian verbs is considered. The research urgency is caused by insufficient level of information about linguistic possibilities of distributional semantics in whole. The novelty of the research consist in the fact that the question about applying the instrument RusVectōrēs for investigating verb semantics is posed for the first time. Classification of semantic relations extracted by RusVectōrēs for Russian verbs is proposed. The analyzed data include two lists of entry verbs and the set of semantic associates for each verb; the integral set of considered semantic associates consists of 468 verbs. Special attention is paid to semantic relations that can be treated as lexical functions because this sort of relations appeared to be the most frequent for Russian verbs; the whole number of extracted lexical functions is equal to 28. It is shown that lexical functions that correspond to aspectual variants of verbs, to synonymic relations and conversion are the most frequent; hyponyms and co-hyponyms are the most frequent among semantic relations that differ from lexical functions; situational relations and actant relations are comparatively rare. Special attention is paid to the details that are important for applying the instruments of lexical functions to semantic relations extracted for verbs by the service RusVectōrēs.M. K. TimofeevaTsentr nauchnykh i obrazovatelnykh proektovarticlerusvectōrēslexical semanticsdistributional semanticslexical functionsmachine learningrussian verbsrusvectōrēsSlavic languages. Baltic languages. Albanian languagesPG1-9665RUНаучный диалог, Vol 0, Iss 9, Pp 117-131 (2018)
institution	DOAJ
collection	DOAJ
language	RU
topic	rusvectōrēs lexical semantics distributional semantics lexical functions machine learning russian verbs rusvectōrēs Slavic languages. Baltic languages. Albanian languages PG1-9665
spellingShingle	rusvectōrēs lexical semantics distributional semantics lexical functions machine learning russian verbs rusvectōrēs Slavic languages. Baltic languages. Albanian languages PG1-9665 M. K. Timofeeva Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs
description	The paper presents the results of investigating distributional semantics’ potential in its realization in the form Web-service RusVectōrēs. The question about applying the service for studying semantics of Russian verbs is considered. The research urgency is caused by insufficient level of information about linguistic possibilities of distributional semantics in whole. The novelty of the research consist in the fact that the question about applying the instrument RusVectōrēs for investigating verb semantics is posed for the first time. Classification of semantic relations extracted by RusVectōrēs for Russian verbs is proposed. The analyzed data include two lists of entry verbs and the set of semantic associates for each verb; the integral set of considered semantic associates consists of 468 verbs. Special attention is paid to semantic relations that can be treated as lexical functions because this sort of relations appeared to be the most frequent for Russian verbs; the whole number of extracted lexical functions is equal to 28. It is shown that lexical functions that correspond to aspectual variants of verbs, to synonymic relations and conversion are the most frequent; hyponyms and co-hyponyms are the most frequent among semantic relations that differ from lexical functions; situational relations and actant relations are comparatively rare. Special attention is paid to the details that are important for applying the instruments of lexical functions to semantic relations extracted for verbs by the service RusVectōrēs.
format	article
author	M. K. Timofeeva
author_facet	M. K. Timofeeva
author_sort	M. K. Timofeeva
title	Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs
title_short	Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs
title_full	Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs
title_fullStr	Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs
title_full_unstemmed	Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs
title_sort	possibility of extracting semantic associates of russian verbs by the instrument rusvectōrēs
publisher	Tsentr nauchnykh i obrazovatelnykh proektov
publishDate	2018
url	https://doaj.org/article/9a511e90727d4ab9bca3c69faeb050a0
work_keys_str_mv	AT mktimofeeva possibilityofextractingsemanticassociatesofrussianverbsbytheinstrumentrusvectores
_version_	1718398931161841664

Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs

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