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cs224n Natural Language Processing with Deep Learning, Stanford University, Winter 2018

Makefile 0.08% Shell 0.34% Python 95.52% Jupyter Notebook 4.07%

cs224n-nlp-dl's Introduction

Assignments

Assignments from cs224n, Winter 2018.

Assignment 1

  • Q1: Softmax (10 points) --DONE
  • Q2: Neural Network Basics (30 points) --DONE
  • Q3: word2vec (40 points + 2 bonus) --DONE
  • Q4: Sentiment Analysis (20 points) --DONE

Assignment 2

  • Q1: Tensorflow Softmax (25 points, coding) --DONE
  • Q2: Neural Transition-Based Dependency Parsing (50 points, mostly coding with a bit of theory) --DONE
  • Q3: Recurrent Neural Networks: Language Modeling (25 points, theory)

Assignment 3

  • Q1: A window into NER (30 points) --IN PROGRESS
  • Q2: Recurrent neural nets for NER (40 points)
  • Q3: Grooving with GRUs (30 points)

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