My Reading Lists of Machine Learning, Natural Language Processing and etc.

Keeping update and appending new things...

Table of Contents

1. Machine, Deep and Reinforcement Learning Courses, Books and etc.
2. Natural Language Processing
   1. Machine Translation
   2. Machine Comprehension, QA and NLU
   3. Dialogue, Conversation and Chatbot System
   4. Commonsense Knowledge Base, Knowledge Base Completion and Representation
   5. Sequence Labeling (POS, Chunking, NER, Punctuation Restoration, SRL and etc.)
   6. Sentiment Analysis and Stance Detection
   7. Natural Language Inference and Text Summarization
   8. Anaphora Resolution, Dependency Parser, Discourse Relation and Relation Extraction and etc.
   9. Text, Sentence and Document Classification
   10. Embeddings, Interpretability and Disambiguation
   11. Multi-tasks and Others
3. General
   1. Recurrent Neural Network
   2. Convolutional Neural Network and Computer Vision
   3. Neural Network Optimization
   4. NTM, Capsule, Autoencoder, Highway, Residual and GAN
   5. Siamese Networks and One-shot Learning
   6. Graph and Social Network Rrpresentation
   7. Multi-task and Others
4. Reinforcement Learning
5. Extreme Learn Machines
6. Coding Books and Other Resources for Machine Learning