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BERT in the Segment of Modern Language Models

  • Irina Chalova,
  • Roman Dzerzhinsky,
  • Ekaterina Ledovskaya

摘要

The work is devoted to the comparative analysis of existing BERT-based models in the context of the latest achievements in the field of natural language processing. In addition, some tasks for the Russian language from the RussianSuperGLUE benchmark, solved using these models, are considered. The conclusions of the work can be useful for companies interested in integration language models into their business.