《Joint Learning of Named Entity Recognition and Entity Linking》论文笔记
Joint Learning of Named Entity Recognition and Entity Linking 2019 ACL Abstract 大多数 EL 方法忽视实体识别部分，假定正确的实体已经被识别出来。这篇论文对 NER 和 EL 进行联合学习，来利用他们之间的相关性，得到一个更健壮和更具通用性的系统。实验发现联合学习比单个学习效果更好，并且在 NER 和 EL 任务达到
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相关文章
- 1. 【论文笔记】Neural Architectures for Named Entity Recognition
- 2. 【论文笔记】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 论文笔记
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- 10. 【论文笔记】Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems