论文阅读：Dual Supervised Learning for Natural Language Understanding and Generation

时间 2020-12-27

标签 nlg文献 Dual Supervised nlg和nlu联合二元监督学习繁體版

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简介：利用自然语言理解（NLU）和自然语言生成（NLG）的二元性，进行循环训练，实验证明这种训练方式能够提高任务的性能；主要贡献点：一.核心算法 The training strategy is based on the standard supervised learning and incorporat

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1. 论文阅读：Dual Supervised Learning
2. 论文阅读 Multi-Task Deep Neural Networks for Natural Language Understanding
3. UniLM: Unified Language Model Pre-training for Natural Language Understanding and Generation
4. 论文阅读：《Pretraining-Based Natural Language Generation for Text Summarization》
5. 论文阅读-RankME: Reliable Human Ratings for Natural Language Generation
6. Natural Language Processing[论文合集]
7. 论文阅读：Dual Learning for Machine Translation
8. 论文阅读--Reinforced Cross-Modal Matching and Self-Supervised Imatation Learning for VLN Navigation
9. Bert：论文阅读-BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
10. 论文阅读——Dual Learning for Machine Translation

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