DC Field | Value | Language |
dc.contributor.author | Kuznetsov, I. P. | - |
dc.contributor.author | Charnine, M. M. | - |
dc.contributor.author | Kozerenko, E. B. | - |
dc.contributor.author | Matskevich, A. G. | - |
dc.contributor.author | Nikolayev, V. G. | - |
dc.contributor.author | Somin, N. V. | - |
dc.date.accessioned | 2017-09-08T11:26:30Z | - |
dc.date.available | 2017-09-08T11:26:30Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Intelligent 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.uri | https://libeldoc.bsuir.by/handle/123456789/25328 | - |
dc.description.abstract | Intelligent 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.iso | en | ru_RU |
dc.publisher | БГУИР | ru_RU |
dc.subject | knowledge mining | ru_RU |
dc.subject | semantics | ru_RU |
dc.subject | entities extraction | ru_RU |
dc.subject | intelligent systems | ru_RU |
dc.subject | natural language | ru_RU |
dc.subject | материалы конференций | - |
dc.title | Intelligent systems for entities extraction based on extended semantic networks | ru_RU |
dc.type | Статья | ru_RU |
Appears in Collections: | OSTIS-2012
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