卡耐基梅隆大学2019年的NLP课程笔记(第一讲)

kongfangyi

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

the feature expression

how to use BOW

what's the CBOW

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

CBOW

not nothing

Compution graph

forward propogation

static CG: tensorflow

synytatic CG: PyTorch

some examples of code

BOW

CBOW

Structure of this class

models of words

models of sentences

implements debug interpret of DL models

sequence to sequence model

structure prediction models

models of Tree and graph

advanced tech

models of knowledge and context

mutil-task/language learning

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。