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--- nlp [2018/12/24 13:51]
jordan 创建
+++ nlp [2023/03/08 16:09] (current)
xujianglong ↷ Page moved from 内部资料:nlp to nlp
@@ Line 1: / Line 1: @@
-[一文详解深度学习在命名实体识别(NER)中的应用](https://www.jiqizhixin.com/articles/2018-08-31-2)
+====== 文章链接 ======
-[基于深度学习的命名实体识别详解（附Github代码）](https://zhuanlan.zhihu.com/p/29412214)
+[[https://www.jiqizhixin.com/articles/2018-08-31-2|一文详解深度学习在命名实体识别(NER)中的应用]]
+[[https://zhuanlan.zhihu.com/p/29412214|基于深度学习的命名实体识别详解（附Github代码）]]
+[[https://www.analyticsvidhya.com/blog/2018/03/essentials-of-deep-learning-sequence-to-sequence-modelling-with-attention-part-i/|Essentials of Deep Learning – Sequence to Sequence modelling with Attention (using python)]]
+[[https://blog.csdn.net/xbinworld/article/details/54605408|深度学习方法（八）：自然语言处理中的Encoder-Decoder模型，基本Sequence to Sequence模型]]
+[[http://www.52nlp.cn/about|我爱自然语言处理博客--关于]]
+===== HanLP =====
+[[https://github.com/hankcs/pyhanlp|pyhanlp]]
+[[https://github.com/hankcs/HanLP|HanLP github主页]]
+==== HanLP相关观念 ====
+  * [[:中文分词]]
+  * [[Hidden Markov Model]]
+  * [[依存句法分析]]
-[Essentials of Deep Learning – Sequence to Sequence modelling with Attention (using python)](https://www.analyticsvidhya.com/blog/2018/03/essentials-of-deep-learning-sequence-to-sequence-modelling-with-attention-part-i/)
-[深度学习方法（八）：自然语言处理中的Encoder-Decoder模型，基本Sequence to Sequence模型](https://blog.csdn.net/xbinworld/article/details/54605408)

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