《Joint Learning of Named Entity Recognition and Entity Linking》論文筆記
Joint Learning of Named Entity Recognition and Entity Linking 2019 ACL Abstract 大多數 EL 方法忽視實體識別部分，假定正確的實體已經被識別出來。這篇論文對 NER 和 EL 進行聯合學習，來利用他們之間的相關性，得到一個更健壯和更具通用性的系統。實驗發現聯合學習比單個學習效果更好，並且在 NER 和 EL 任務達到
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相關文章
- 1. 【論文筆記】Neural Architectures for Named Entity Recognition
- 2. 【論文筆記】A Survey on Deep Learning for Named Entity Recognition
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- 4. Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition 論文筆記
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- 8. A Survey on Deep Learning for Named Entity Recognition（2020）
- 9. Few-shot Learning for Named Entity Recognition in Medical Text筆記
- 10. 【論文筆記】Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems