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This repository uses BERT for medical diagnosis, incorporating data augmentation techniques like backtranslation and paraphrasing to improve model performance in predicting diseases from symptom descriptions.
A multilingual model XLM- RoBERTa for the textual entailment of sequence pair - premise and hypothesis of 15 different languages using the MNLI and XNLI corpus.