[论文阅读笔记 --- 13] StructBERT: Incorporating Language Structures into Pre-training for Deep Language Un

时间 2021-01-12

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Bert 预训练思路 Bert 预训练模型 Bert 预训练两大子任务 Mask Token Prediction: 对于Mask的位置，多分类任务，从此表中预测处正确的词 Next Sentence Prediction: 输入两个句子，判断S1和S2是否是上下句的关系。 Mask Token Prediction Next Sentence Prediction StructBert 对于单个

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1. 文献阅读笔记：XLNet: Generalized Autoregressive Pretraining for Language Understanding
2. 【论文阅读笔记】Cross-lingual Language Model Pretraining
3. 论文阅读笔记：BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
4. 论文阅读：《Pretraining-Based Natural Language Generation for Text Summarization》
5. 论文阅读 Multi-Task Deep Neural Networks for Natural Language Understanding
6. Multi-Task Deep Neural Networks for Natural Language Understanding阅读笔记
7. 论文阅读：Incorporating dictionaries into deep neural networks for the Chinese clinical NER
8. 论文阅读：BERT：Pre-training of Deep Bidirectional Transformers for Language Understanding
9. Bert：论文阅读-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
10. 论文阅读笔记：《ERNIE 2.0: A Continual Pre-training Framework for Language Understanding》

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