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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/25328
Title: Intelligent systems for entities extraction based on extended semantic networks
Authors: Kuznetsov, I. P.
Charnine, M. M.
Kozerenko, E. B.
Matskevich, A. G.
Nikolayev, V. G.
Somin, N. V.
Keywords: knowledge mining;semantics;entities extraction;intelligent systems;natural language;материалы конференций
Issue Date: 2012
Publisher: БГУИР
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.
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.
URI: https://libeldoc.bsuir.by/handle/123456789/25328
Appears in Collections:OSTIS-2012

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