devesh-maheshwari / cs224n

My Solution of Assignments of CCS224n

My Solution of Assignments of CCS224n

This is my solution of three assignments of CS224n. CS224n: Natural Language Processing with Deep Learning is an interesting class, which teaches you to learn Natural language processing. This class provides some insights of cutting-edge research in deep learning applied to NLP. It covers word vector representations, window-based neural networks, recurrent neural networks, long-short-term-memory models, recursive neural networks, convolutional neural networks as well as some recent models involving a memory component.

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Note: If you consult my code that you may want to incorporate into your strategy or algorithm, so long as you clearly cite your sources in your code and your writeup.

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Table of Contents

• Assignment 1
  • Softmax
  • Neural Network Basics
  • word2vec
  • Sentiment Analysis
• Assignment 2
  • Tensorflow Softmax
  • Neural Transition-Based Dependency Parsing
  • Recurrent Neural Networks: Language Modeling
• Assignment 3
  • A window into NER
  • Recurrent neural nets for NER
  • Grooving with GRUs

Dependencies

• Anaconda
• tensorflow>=0.12
• matplotlib
• scipy
• numpy
• sklearn

Author

@zlpure