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Assignments of the "Natural Language Processing with Deep Learning" course (CS 224n, Stanford University)

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Assignments of the "Natural Language Processing with Deep Learning" course (CS 224n, Stanford University)

This repository contains my solutions to the assignments of the course of "Natural Language Processing with Deep Learning" (CS224n) taught by Christopher Manning. at Stanford University. I used the material from Winter 2021.

Instructor: Sauleh Etemadi

  • Assignment 1 - Exploring word vectors
  • Assignment 2 - Word2Vec implementation
  • Assignment 3 - Dependency Parsing
  • Assignment 4 - Neural Machine Translation
  • Assignment 5 - Self-Attention, Transformers, and Pretraining

Assignment 1 - Exploring word vectors

Assignment 1 is about word vectors such as GloVe and similarities between words.
Written Answer

Assignment 2 - Word2Vec Implementation

Assignment 2 is an implemetation of Word2Vec algorithm by sgd.
Written Answer

Assignment 3 - Dependency Parsing

Assignment 3 is about dependency parsing. Implenting a dependency parser.
Written Answer

Assignment 4 - Neural Machine Translation

Assignment 4 is about training a NMT with Recurrent Neural Networks. You probably need GPU for training. I used google colab.
Written Answer

Assignment 5 - Self-Attention, Transformers, and Pretraining

Assignment 5 is about transformers and self-attention.
Written Answer

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