NLP

• Jurafsky and Martin, Speech and Language Processing
• Jacob Eisenstein, Natural Language Processing
• Manning and Schutze, Foundations of Statistical Natural Language Processing
  • NLP before deep learning

Deep learning

• Goodfellow and Bengio, Deep Learning
• Slides of Sebastian Seung’s neural network class

Background

• Linear Algebra, Probability, Convex Optimization (from CS229)
• Tutorial of python and numpy: python-numpy-tutorial

Software

• CoreNLP
• PyTorch

Other classes

The structure and material of this class builds on some previous classes, which has partial overlap with our material. Particularly influential are:

• CS231N convnets
• CS224U natural language understanding
• CS224N NLP with DL