ACL2020 Heterogeneous Graph Neural Networks for Extractive Document Summarization
Heterogeneous Graph Neural Networks for Extractive Document Summarization 異構圖神經網絡提取文檔摘要 摘要 1 引言 2 相關工作 3 Methodology 3.1 Document as a Heterogeneous Graph 3.2 Graph Initializers 3.3 Heterogeneous Grap
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相關文章
- 1. Heterogeneous Graph Neural Networks for Extractive Document Summarization
- 2. 【論文筆記】Heterogeneous Graph Neural Networks for Extractive Document Summarization
- 3. Taming Recurrent Neural Networks for Better Summarization
- 4. Graph Neural Networks for Social Recommendation
- 5. #Paper Reading# Neural Extractive Summarization with Side Information
- 6. Self-Supervised Learning for Contextualized Extractive Summarization
- 7. 【論文閱讀ACL2020】Leveraging Graph to Improve Abstractive Multi-Document Summarization
- 8. 【論文解讀 CIKM 2018 | GEM】Heterogeneous Graph Neural Networks for Malicious Account Detection
- 9. Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
- 10. Extractive Summarization using Continuous Vector Space Models