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. |
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 |
File | Description | Size | Format | |
---|---|---|---|---|
Hubarevich_Knowledge.PDF | 350.04 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.