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

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
Coreference_resolution		Coreference_resolution
Deep_dependency_parser		Deep_dependency_parser
POSTagging_HMM		POSTagging_HMM
POSTagging_Perceptron		POSTagging_Perceptron
Text Classification		Text Classification
README.md		README.md

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