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This paper presents several BERT-based models for Russian language biomedicaltext mining (RuBioBERT, RuBioRoBERTa). The models are pre-trained on a corpusof freely available texts in the Russian biomedical domain. With thispre-training, our models demonstrate state-of-the-art results on RuMedBench -Russian medical language understanding benchmark that covers a diverse set oftasks, including text classification, question answering, natural languageinference, and named entity recognition.

RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining