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

Keeping update and appending new things...

Table of Contents

1. Natural Language Processing
   1. Datasets in NLP
   2. Recurrent Neural Network
   3. Machine Translation
   4. Machine Comprehension and Question Answering
   5. Dialogue, Chatbot and NLG Systems
   6. Sequence Labeling (POS, NER, SRL, RE, Dependency Parsing, Entity Linking, Punctuation Restoration and etc.)
   7. Knowledge Graph and Social Network Representation
   8. Sentiment Analysis and Text Classification
   9. Char/Word Embeddings and Baseline Systems
   10. Sentence Representation, Natural Language Inference and Summarization
   11. Interpretability, Disambiguation, Anaphora and Discourse
   12. Multi-tasks and Unassorted Research Works
2. Computer Vision (Classification, Detection, Recognition, Captioning and etc.)
3. Other Network Structures (NTM, Capsule, Autoencoder, GAN, Memory Network, Residual, Highway and etc.)
4. Neural Network Optimization and Unassorted Research Works
5. Reinforcement Learning
6. Robotic Systems
7. Extreme Learn Machines
8. Machine, Deep and Reinforcement Learning Resources, Reading Lists and Coding Books