《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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