卡耐基梅隆大学2019年的NLP课程笔记（第一讲）

这是课程的一些要点：The difficult of NLP:

1. what's the normal sentence?

2.the past tense of verb

3.the feature expression

4.how to use BOW

5.what's the CBOW

6.why use Deep CBOW ** the prediction of sentiment or sentiment classifier**

7.CBOW

8.not nothing

9.Compution graph

10.forward propogation

11.static CG: tensorflow

12.synytatic CG: PyTorch

13.some examples of code

14.BOW

15.CBOW

16.Structure of this class

17.models of words

18.models of sentences

19.implements debug interpret of DL models

20.sequence to sequence model

21.structure prediction models

22.models of Tree and graph

23.advanced tech

24.models of knowledge and context

25.mutil-task/language learning

26.advanced search tech

老师会有一些课前阅读材料，也要阅读。课程的代码可以从github上下载地址为https://github.com/neubig/nn4nlp-code/tree/master/01-intro-pytorch 有问题可以提问，一起学习。

本文转载自异步社区

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