譯文：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Bert: 針對語言理解雙向深度transformer的預訓練模型 摘要 本文介紹一種新的語言表達模型-BERT(Bidirectional Encoder Representations from Transformers).與近期語言表達模型 (Peters et al., 2018a; Radford et al., 2018)不同的是，Bert通過在所有層上調節雙向上下文來預訓練未標定數據
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相關文章
- 1. Bert: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 3. 《BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 4. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding
- 5. 論文翻譯：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 6. Bert：論文閱讀-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 7. 論文閱讀筆記：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 8. 文獻記錄－BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- 9. 論文筆記《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
- 10. 論文學習《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》