Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm
The article investigates modern vector text models for solving the problem of genre classification of Russian-language texts. Models include ELMo embeddings, BERT language model with pre-training and a complex of numerical rhythm features based on lexico-grammatical features. The experiments were ca...
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| Format: | Article |
| Language: | English |
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Yaroslavl State University
2022-12-01
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| Series: | Моделирование и анализ информационных систем |
| Subjects: | |
| Online Access: | https://www.mais-journal.ru/jour/article/view/1750 |