相关知识链接
    http://www.shuang0420.com/2017/03/18/NLP%20%E7%AC%94%E8%AE%B0%20-Information%20Extraction/
    命名实体识别(Named Entity Recognition)和序列模型(Sequence Model)

    命名实体识别(NER)在信息抽取中扮演着重要角色，它有两个关键词：find & classify，找到命名实体，并进行分类。

    待阅读

    http://www.shuang0420.com/2018/09/15/%E7%9F%A5%E8%AF%86%E6%8A%BD%E5%8F%96-%E5%AE%9E%E4%BD%93%E5%8F%8A%E5%85%B3%E7%B3%BB%E6%8A%BD%E5%8F%96/

    http://www.shuang0420.com/2017/04/10/NLP%E7%AC%94%E8%AE%B0%20-%20Relation%20Extraction/

    https://shomy.top/2018/07/05/pytorch-relation-extraction/

    https://github.com/ShomyLiu/pytorch-relation-extraction

    https://pan.baidu.com/s/1Mu46NOtrrJhqN68s9WfLKg#list/path=%2F

    http://shomy.top/2018/02/28/relation-extraction/

    https://wuwt.me/2018/08/01/NER-2018/

    https://blog.csdn.net/buppt/article/details/82961979

    https://www.jiqizhixin.com/articles/2019-07-29-11

    https://www.zhihu.com/question/25269336

    https://blog.csdn.net/u010417185/article/details/80649356

    https://www.jianshu.com/p/495c23aa5560

    https://github.com/zjy-ucas/ChineseNER

    https://www.zybuluo.com/lianjizhe/note/1205311

    https://blog.csdn.net/u012879957/article/details/80924757

    https://github.com/shiyybua/NER

    https://zhuanlan.zhihu.com/p/54785656

    https://blog.csdn.net/sun_brother/article/details/80327070

    https://www.cnblogs.com/gongyanzh/p/12195282.html

    https://blog.csdn.net/zlasd/article/details/69258491

    https://blog.csdn.net/pelhans/article/details/80020067

    https://www.cnblogs.com/jclian91/p/11107323.html

    https://zhuanlan.zhihu.com/p/42618178

    https://zhuanlan.zhihu.com/p/43493999

    https://zhuanlan.zhihu.com/p/46652512

    https://zhuanlan.zhihu.com/p/51413773

    https://zhuanlan.zhihu.com/p/44121378

    https://www.jianshu.com/p/f29bc334c4f9

    https://blog.csdn.net/whatwho_518/article/details/79467138

    https://blog.csdn.net/weixin_42001089/article/details/90749577

    https://blog.csdn.net/m0_37565948/article/details/81010419

    https://blog.csdn.net/weixin_42001089/article/details/91388707

    https://blog.csdn.net/pelhans/article/details/80020309#comments