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20200519037
course-info
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7d90c65e
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7d90c65e
authored
Jun 17, 2020
by
Wenzhe
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@@ -18,5 +18,19 @@
| 6月14日 (周日) 10:30AM | (直播-Lecture4)
<br>
凸优化 (2) |Dualtiy, KKT条件,SVM的primal-Dual|
[
Lecture4
](
http://47.94.6.102/NLP7/course-info/blob/master/%E8%AF%BE%E4%BB%B6/0614%E5%87%B8%E4%BC%98%E5%8C%96%EF%BC%882%EF%BC%89.pptx
)
|||
| 6月14日 (周日) 8:00PM | (直播-Discussion)
<br>
Inventory Optimization with Stochastic Programming ||
[
课件
](
http://47.94.6.102/NLP7/course-info/blob/master/%E8%AF%BE%E4%BB%B6/0614%20Inventory%20Optimization%20with%20Stochastic%20Programming%5B%E9%98%BF%E5%8B%87%5D.pptx
)
|||
| PART 1 自然语言处理基础 |
| 6月21日(周日,父亲节) 10:30AM | (直播-Lecture5)
<br>
文本表示|分词
<br>
拼写纠错
<br>
停用词过滤
<br>
词的标准化
<br>
词袋模型
<br>
文本相似度计算
<br>
词向量
<br>
句子向量
<br>
语言模型||||PROJECT 1 OUT|
| TBD | (直播-Paper) |||||
| TBD | (直播-Discussion)
<br>
各类文本相似度计算技术Survey| 短文本
<br>
长文本 |||||
| 7月5日(周日) 10:30AM | (直播-Lecture6) |
<br>
SkipGram(重点讲解), CBOW, Glove, MF,Gaussian Embedding, 语言模型以及各类Smooting技术|||||
| TBD | (直播-Discussion)
<br>
SkipGram源代码解读|包括Huffman树等优化细节|||||
| TBD | (直播-Discussion)
<br>
第一次作业讲解||||||
| TBD | (直播-Paper)
<br>
第四篇论文讲解
<br>
Mining and Summarizing Customer Reviews|||||
| 7月12日(周日) 10:30AM | (直播-Lecture7)
<br>
EM算法和HMM |Em算法
<br>
Em收敛性
<br>
Em算法在高斯混合模型中的应用
<br>
HMM算法的引入
<br>
HMM中的概率计算
<br>
HMM中的学习(Baum-Welch算法)
<br>
HMM的预测问题(Viterbi算法)|||||
| TBD | (直播-Paper)
<br>
第五篇论文讲解
<br>
Reading Wikipedia to Answer Open-Domain Questions|||||
| TBD | (直播-Discussion)
<br>
基于HMM的词性分析(POS tagger)||||||
| TBD | (直播-Discussion)
<br>
不同语言模型smoothing技术||||||
| 7月19日(周日) 10:30AM | (直播-Lecture8)
<br>
CRF模型 ||||||
| TBD | (直播-Discussion)
<br>
基于HMM的中文分词: jieba分词原理讲解|||||
| TBD | (直播-Discussion)
<br>
基于LSTM-CRF的命名实体识别实战||||||
| TBD | (直播-Discussion)
<br>
项目一讲解||||||
|PART 2 深度学习与预训练模型|
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