| DC Field | Value | Language |
|---|
| dc.contributor.author | Zhang Caigui | - |
| dc.contributor.author | Yu. German | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-01-13T06:14:26Z | - |
| dc.date.available | 2025-01-13T06:14:26Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Zhang Caigui. How to extract meaning from a phrase / Zhang Caigui, Yu. German // Информационные технологии и системы 2024 (ИТС 2024) = Information Technologies and Systems 2024 (ITS 2024) : материалы международной научной конференции, Минск, 20 ноября 2024 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: Л. Ю. Шилин [и др.]. – Минск, 2024. – С. 191–192. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/58691 | - |
| dc.description.abstract | This paper describes how the word vector model and the BERT model and its derivatives can be used to extract
meaning from a phrase. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | information technology | en_US |
| dc.subject | neural networks | en_US |
| dc.subject | information processing | en_US |
| dc.title | How to extract meaning from a phrase | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | ИТС 2024
|
