NLP Georgia Tech Class Problem Sets

• Text Classification - on Redit data using Logistic Regression, Perceptron, Average Perceptron, Naive Bayes.
  See the jupyter notebook called pset1.ipynb. The implementation files for the algorithms are in the gtnlplib folder
• Sequence labeling (POS tagging) with Hidden Markov models and implementing the Viterbi algorithm
  See the jupyter notebook called pset2.ipynb. The implementation files for the algorithms are in the gtnlplib folder
• Sequence labeling (POS tagging) with structured perceptron
  See the jupyter notebook called pset3.ipynb. The implementation files for the algorithms are in the gtnlplib folder
• Deep transition dependency parser in PyTorch
  See the jupyter notebook called pset4.ipynb. The implementation files for the algorithms are in the gtnlplib folder
• Coreference Resolution using Machine learning based and rule based approaches
  See the jupyter notebook called pset5.ipynb. The implementation files for the algorithms are in the gtnlplib folder