http://dspace.bsu.edu.ru/handle/123456789/64153| Title: | A graph-based approach to closed-domain natural language generation |
| Authors: | Firsanova, V. I. |
| Keywords: | linguistics applied linguistics language generation language understanding generative artificial intelligence large language models decentralized networks data encoding distributional semantics closed-domain systems |
| Issue Date: | 2024 |
| Citation: | Firsanova, V.I. A graph-based approach to closed-domain natural language generation / V.I. Firsanova // Научный результат. Сер. Вопросы теоретической и прикладной лингвистики. - 2024. - Т.10, №3.-С. 135-167. - Doi: 10.18413/2313-8912-2024-10-3-0-7. - Библиогр.: с. 162-167. |
| Abstract: | The paper introduces a novel NLP architecture, the Graph-Based Block-to-Block Generation (G3BG), which leverages state-of-the-art deep learning techniques, the power of attention mechanisms, distributional semantics, graph-based information retrieval, and decentralized networks |
| URI: | http://dspace.bsu.edu.ru/handle/123456789/64153 |
| Appears in Collections: | Т. 10, вып. 3 |
| File | Description | Size | Format | |
|---|---|---|---|---|
| Firsanova_Graph-based_24.pdf | 1.94 MB | Adobe PDF | View/Open |
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