自然语言理论知识相关文章

不定期更新自己的学习：

词向量（入门）：
https://blog.csdn.net/mawenqi0729/article/details/80698350

Word2Vec:
skip-gram模型：
https://blog.csdn.net/u010665216/article/details/78721354
https://www.jianshu.com/p/da235893e4a5
CBOW模型:
https://blog.csdn.net/github_36235341/article/details/78607323

循环神经网络RNN:
https://blog.csdn.net/qq_23225317/article/details/77834890

LSTM和biLSTM：
https://www.jiqizhixin.com/articles/2018-10-24-13

Seq2seq 模型：
https://blog.csdn.net/gzmfxy/article/details/78691048
https://blog.csdn.net/wangyangzhizhou/article/details/77883152

Convolutional Sequence to Sequence Learning 论文：
https://arxiv.org/pdf/1705.03122.pdf

Attention Mechanism （注意力机制）的讲解博客：
1、http://mini.eastday.com/mobile/171227123803276.html#
2、https://blog.csdn.net/hahajinbu/article/details/81940355

Attention Is All You Need 论文：
https://arxiv.org/pdf/1706.03762.pdf
Attention is all you need 解读文章：
1、https://mp.weixin.qq.com/s/q3OVJypM6HZQc58JpKJgVA?spm=a2c4e.11153940.blogcont342508.5.2e695b2dtlwo4Y
2、https://www.jianshu.com/p/3f2d4bc126e6

ELMo 论文：
https://arxiv.org/pdf/1802.05365.pdf
Elmo训练项目：https://blog.csdn.net/weixin_37947156/article/details/83146184