斯坦福CS224n追剧计划-Week7：subword models与上下文词表示

简介NLP

Stanford CS224n追剧计划是由夕小瑶的卖萌屋发起的开源开放NLP入门项目，借助github和微信群为大家提供同期小伙伴打卡讨论、内容沉淀、作业笔记和FAQ共享、连线斯坦福等服务。关于该计划的详请见这里 。

1. Github项目地址

https://github.com/xixiaoyao/CS224n-winter-together

2. Stanford CS224n追剧群

扫码添加小夕微信，回复口令追剧入群。

课程大纲

课程计划一共持续11周，进度如下：

• week1：Introduction and Word Vectors

• week2：Word Vectors 2 and Word Senses/Word Window Classification and Neural Networks

• week3：Matrix Calculus and Backpropagation/ Linguistic Structure :  Dependency Parsing

• week4：The probability of a sentence? Recurrent Neural Networks and Language Models/ Vanishing Gradients and Fancy RNNs

• week5: Machine Translation, Seq2Seq and Attention / Practical Tips for Final Projects

• week6: Question Answering, the Default Final Project, and an introduction to Transformer architectures / ConvNets for NLP

• week7: Information from parts of words / Contextual Word Representations- BERT【本周】

本期内容

Information from parts of words

课后作业：无

 Contextual Word Representations - BERT

注：感谢@gongle提供中文字幕

课后作业：无

GitHub访问困难的小伙伴也可以在订阅号「夕小瑶的卖萌屋」后台回复【week7】获取本期课程ppt等资料。

上周精选

week6优秀作业链接

@BobOfRivia：https://github.com/xixiaoyao/CS224n-winter-together/tree/master/Assignments/assignment5/BobOfRivia

@MakiNaruto：https://github.com/xixiaoyao/CS224n-winter-together/tree/master/Assignments/assignment5/MakiNaruto

还在等什么，拉上身边的小伙伴，一起上车打卡学习鸭~~

扫码添加小夕后，回复【追剧】入群

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夕小瑶的卖萌屋

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