| DC Field | Value | Language |
|---|
| dc.contributor.author | Hubarevich, A. V. | - |
| dc.contributor.author | Boyko, I. M. | - |
| dc.contributor.author | Semenyaka, A. | - |
| dc.contributor.author | Hardzei, A. N. | - |
| dc.date.accessioned | 2018-03-06T12:47:54Z | - |
| dc.date.available | 2018-03-06T12:47:54Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.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. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/30371 | - |
| dc.description.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. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | natural language processing | ru_RU |
| dc.subject | universal semantic code | ru_RU |
| dc.subject | text understading | ru_RU |
| dc.title | Knowledge acquisition based on natural language texts | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | OSTIS-2018
|
