Skip navigation
Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/30371
Title: Knowledge acquisition based on natural language texts
Authors: Hubarevich, A. V.
Boyko, I. M.
Semenyaka, A.
Hardzei, A. N.
Губаревич, А. В.
Бойко, И. М.
Keywords: материалы конференций
natural language processing
universal semantic code
text understading
Issue Date: 2018
Publisher: БГУИР
Citation: Knowledge acquisition based on natural language texts / N. Hubarevich and others // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 199 - 206.
Abstract: The article describes a method of computer analysis of natural language texts and automatic filling the knowledge base using OSTIS technology. The method helps to implement semantic-syntactic analysis of texts and then analyse its context based on specific subject domain ontologies.
URI: https://libeldoc.bsuir.by/handle/123456789/30371
Appears in Collections:OSTIS-2018

Files in This Item:
File Description SizeFormat 
Hubarevich_Knowledge.PDF350,04 kBAdobe PDFView/Open
Show full item record


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