论文翻译：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

时间 2020-12-30

标签 nlp论文翻译繁體版

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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding BERT：用于语言理解的深度双向变换器的预训练摘要我们引入了一个新的语言表示模型BERT，它代表了来自Transformers的双向编码器表示。与最近的语言表示模型不同（Peters等人，2018a; Radford等人，2018），

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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：论文阅读-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
5. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding 论文翻译
6. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding
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8. 论文笔记《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
9. 论文学习《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
10. 译文：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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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：论文阅读-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
5. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding 论文翻译
6. BERT:Pre-training of Deep Bidirectional Transformers for Language Understanding
7. 论文阅读笔记：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
8. 论文笔记《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
9. 论文学习《BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding》
10. 译文：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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