RuBioRoBERTa: a pre-trained biomedical language model for Russian language biomedical text mining
About
This paper presents several BERT-based models for Russian language biomedical text mining (RuBioBERT, RuBioRoBERTa). The models are pre-trained on a corpus of freely available texts in the Russian biomedical domain. With this pre-training, our models demonstrate state-of-the-art results on RuMedBench - Russian medical language understanding benchmark that covers a diverse set of tasks, including text classification, question answering, natural language inference, and named entity recognition.
Alexander Yalunin, Alexander Nesterov, Dmitriy Umerenkov• 2022
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Cancer risk prediction | EHR-based cancer screening dataset 2016-2023 (test) | Average Precision9.3 | 18 |
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