【論文筆記】【短】Improving Neural Fine-Grained Entity Typing with Knowledge Attention
Improving Neural Fine-Grained Entity Typing with Knowledge Attention 最主要的貢獻是把entity mention和context work，使用attention進行了運算。取得了不錯的結果。 運用上了KB的entity mention的representation。上下文的信息。Attention這些 有一些比較值得注意的細節
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相關文章
- 1. 論文淺嘗-Improving Neural Fine-Grained Entity Typing with Knowledge Attention
- 2. 論文學習3-Improving Neural Fine-Grained Entity Typing with Knowledge Attention
- 3. 【論文筆記】【短】Noise Mitigation for Neural Entity Typing and Relation Extraction
- 4. 論文解讀：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...
- 5. (2020)Deep Joint Entity Disambiguation with Local Neural Attention論文筆記
- 6. 【論文筆記】Reasoning about Entailment with Neural Attention
- 7. 【論文筆記】Noise Mitigation for Neural Entity Typing and Relation Extraction
- 8. 【論文筆記】Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems
- 9. 【論文筆記】Representation Learning of Knowledge Graphs with Entity Descriptions
- 10. 【論文筆記】Neural Architectures for Named Entity Recognition