Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/25328
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKuznetsov, I. P.-
dc.contributor.authorCharnine, M. M.-
dc.contributor.authorKozerenko, E. B.-
dc.contributor.authorMatskevich, A. G.-
dc.contributor.authorNikolayev, V. G.-
dc.contributor.authorSomin, N. V.-
dc.date.accessioned2017-09-08T11:26:30Z-
dc.date.available2017-09-08T11:26:30Z-
dc.date.issued2012-
dc.identifier.citationIntelligent systems for entities extraction based on extended semantic networks / I. P.Kuznetsov [etc.] // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2012): материалы II Международной научно-технической конференции (Минск, 16-18 февраля 2012) / В. В. Голенков (отв. ред.) – Минск: БГУИР, 2012. - C. 373-380.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/25328-
dc.description.abstractIntelligent systems with linguistic processors extracting the entities and their links from natural language texts are considered. The conceptual model underlying the algorithmic developments is the extended semantic networks (ESN). The paper analyzes the use of the processors for text formalization in various subject fields: economy monitoring, criminal actions, mass media, terrorist activities (in Russian and English). Specific features of the texts are taken into account by linguistic knowledge of the processor: the system can be tuned to various subject areas.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectknowledge miningru_RU
dc.subjectsemanticsru_RU
dc.subjectentities extractionru_RU
dc.subjectintelligent systemsru_RU
dc.subjectnatural languageru_RU
dc.subjectматериалы конференций-
dc.titleIntelligent systems for entities extraction based on extended semantic networksru_RU
dc.typeСтатьяru_RU
Appears in Collections:OSTIS-2012

Files in This Item:
File Description SizeFormat 
Kuznetsov_Intelligent.PDF637.65 kBAdobe PDFView/Open
Show simple item record Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.