CMU神经网络自然语言处理课程(2019) by Graham Neubig
http://t.cn/EqTQH0r
【CMU神经网络自然语言处理课程(2019)】“CS 11-747: Neural Networks for NLP” by Graham Neubig http://t.cn/EqTQH0r
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Intro/ Why Neural Nets for NLP
01:09:00
A Simple (?) Exercise - Predicting the Next Word
01:19:27
Word Vectors
01:10:43
Convolutional Neural Networks for Language
01:12:09
Recurrent Networks for Sentence or Language Modeling
01:11:33
Conditioned Generation
01:12:01
Attention
01:19:19
Sentence and Contextualized Word Representation
01:17:31
Debugging Neural Nets (for NLP)
01:15:18
Structured Prediction Basics
01:09:52
Reinforcement Learning
54:14
Structured Prediction with Local Independence Assumptions
55:39
Model Interpretation
01:01:27
Latent Random Variables
55:37
Transition-based Parsing
58:48
Parsing w- Dynamic Programs
49:05
18. Unsupervised and Semi-supervised Learning of Structure
01:07:38
19. Models of Dialog
01:04:50
20. Document Level Models
50:59
21. Learning from/for Knowledge Graphs
01:05:14
22. Machine Reading w/ Neural Nets
01:03:44
23. Multi-task, Multi-lingual Learning
57:01
25.Advanced Search Algorithms
59:11
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