《Joint Learning of Named Entity Recognition and Entity Linking》论文笔记

时间 2021-01-02

标签论文阅读笔记 nlp 繁體版

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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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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
3. 论文笔记 Neural Architectures for Named Entity Recognition
4. Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition 论文笔记
5. 论文笔记：On the Strength of Character Language Models for Multilingual Named Entity Recognition
6. 论文笔记：A Study of the Importance of External Knowledge in the Named Entity Recognition Task
7. [论文阅读笔记02]Nested Named Entity Recognition via Second-best Sequence Learning and Decoding
8. A Survey on Deep Learning for Named Entity Recognition（2020）
9. Few-shot Learning for Named Entity Recognition in Medical Text笔记
10. 【论文笔记】Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems

>>更多相关文章<<