| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2020 |
| Язык | английский |
|
Гималетдинова Гульнара Камилевна, автор
Соловьев Валерий Дмитриевич, автор
Усманова Лилия Абраровна, автор
|
| Библиографическое описание на языке оригинала |
Soloviev, V., Gimaletdinova, G., Khalitova, L., Usmanova, L. Expert Assessment of Synonymic Rows in RuWordNet // Analysis of Images, Social Networks and Texts (AIST'2019). CCIS, vol. 1086. (2020). Pр. 174-183. |
| Аннотация |
Analysis of Images, Social Networks and Texts |
| Ключевые слова |
Computer lexicography Synonymy Dictionaries of synonyms RuWordNet thesaurus Hypo-hyperonymic relationships |
| Название журнала |
Analysis of Images, Social Networks and Texts
|
| URL |
https://link.springer.com/chapter/10.1007/978-3-030-39575-9_18 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=221817 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Гималетдинова Гульнара Камилевна |
ru_RU |
| dc.contributor.author |
Соловьев Валерий Дмитриевич |
ru_RU |
| dc.contributor.author |
Усманова Лилия Абраровна |
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 |
Soloviev, V., Gimaletdinova, G., Khalitova, L., Usmanova, L. Expert Assessment of Synonymic Rows in RuWordNet // Analysis of Images, Social Networks and Texts (AIST'2019). CCIS, vol. 1086. (2020). Pр. 174-183. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=221817 |
ru_RU |
| dc.description.abstract |
Analysis of Images, Social Networks and Texts |
ru_RU |
| dc.description.abstract |
This article explores the principles of synsets in the RuWordNet thesaurus and synonyms in the classical dictionaries of Russian synonyms (N = 10) to identify discrepancies and improve the principles of organising synsets in RuWordNet. The relevance of the study is determined by the demand for WordNet resources in natural language processing tasks. The authors selected 102 RuWordNet thesaurus synsets, including nouns (N = 34), adjectives (N = 34) and verbs (N = 34). The meanings of the lexemes were correlated according to the data given in Russian language thesauri (N = 2). The comparative method and an independent expert assessment of RuWordNet revealed a number of discrepancies and inaccuracies in the representation of synsets concerning polysemy, hypo-hyperonymic relationships, lexical meanings of words and parts-of-speech synonymy. On the basis of this study, the authors recommend the elimination of individual shortcomings in the construction of the RuWord-Net synsets, in particular the polysemy and parts-of-speech synonymy. |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
|
ru_RU |
| dc.title |
Expert Assessment of Synonymic Rows in RuWordNet |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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