《Fluency Boost Learning and Inference for Neural Grammatical Error Correction》論文總結
今天看到微軟亞洲研究院的一篇論文，通過Fluency boost learning提升模型性能，論文地址爲: Fluency Boost Learning and Inference for Neural Grammatical Error Correction，有興趣的同學可以去下載看看。在此我總結了一下這篇論文。 核心思想 這篇論文的核心思想其實很簡單，就是通過有效地增加訓練數據，來使模型的推
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相關文章
- 1. A Simple but Effective Classification Model for Grammatical Error Correction
- 2. embedding entities and relations for learning and inference knowledge base
- 3. 《Enhanced LSTM for Natural Language Inference》論文總結
- 4. 論文閱讀——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 5. 【論文閱讀】Neural Language Correction with Character-Based Attention
- 6. 論文筆記 Joint Inference of Reward Machines and Policies for Reiforcement Learning
- 7. Neural Architecture Search with Reinforcement Learning論文總結
- 8. Classification and inference with machine learning
- 9. 《Wide & Deep Learning for Recommender Systems》論文總結
- 10. 論文《Convolutional Neural Networks for Sentence Classification》總結