#paper reading#Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Cognitive Graph for Multi-Hop Reading Comprehension at Scale 摘要 1. 簡介 2. 認知圖問答框架 3. 實現 3.1 系統1 3.2 系統2 3.3 預測器 3.4 訓練 3.4.1 任務#1：跨度提取 3.4.2 任務#2：答案節點預測 4. 實驗 4.1 數據集 4.2 實驗細節 4.3 基線 4.4 結果 5. 相關工作 6.討
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相關文章
- 1. Cognitive Graph for Multi-Hop Reading Comprehension at Scale(ACL2019) 閱讀筆記及代碼解析
- 2. ACL 19 論文閱讀---Cognitive Graph for Multi-Hop Reading Comprehension at Scale （待完善）
- 3. [paper]ADVERSARIAL MACHINE LEARNING AT SCALE
- 4. Tools for reading paper[astro]
- 5. Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
- 6. Paper-Reading
- 7. Paper Notes: Graph Convolutional Neural Networks for Web-Scale Recommender Systemste
- 8. [Paper Reading]--Exploiting Relevance Feedback in Knowledge Graph
- 9. [paper reading] Faster RCNN
- 10. paper解讀：Bi-Directional Attention Flow For Machine Comprehension