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  UTH-BERT: a BERT pre-trained with Japanese clinical text – 医療AI・デジタルツイン開発学講座

  • 23 users
  • ai-health.m.u-tokyo.ac.jp
  • テクノロジー
  • 2020/04/29

  Abstract This page publishes a Bidirectional Encoder Representations from Transformers (BERT) model that was pre-trained with a huge Japanese clinical text (approximately 120 million lines). This model is released under the Creative Commons 4.0 International License (CC BY-NC-SA 4.0). To develop the model, we leverage the Tensorflow implementation of BERT published by Google on this page. This stu

  • BERT
  • 機械学習
  • 形態素解析
  • science
  • 開発
  • 医療