【論文讀後感】《Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised》
《Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction 》 Abstract 和往常的遠程監督關係抽取差不多，首先說下遠程監督的優點，可以省去標註人力物力；缺點就是按照外部知識來進行標註，容易導致標註的關係是錯誤的，因此作者提出
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相關文章
- 1. 《Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning》
- 2. 論文閱讀筆記 | (IJCAI 2018 Oral) Collaborative Learning for Weakly Supervised Object Detection
- 3. 讀文獻——《Curriculum learning》
- 4. 論文閱讀：Dual Supervised Learning for Natural Language Understanding and Generation
- 5. 論文閱讀--Reinforced Cross-Modal Matching and Self-Supervised Imatation Learning for VLN Navigation
- 6. 論文閱讀：Dual Supervised Learning
- 7. 論文淺嘗 | Learning with Noise: Supervised Relation Extraction
- 8. 【論文解讀 WSDM 2018 | DRL】Curriculum Learning for Heterogeneous Star Network Embedding via DRL
- 9. 【論文精讀】MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
- 10. Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction 論文筆記