Natural Language Inference

Course Project for E0 270 - Machine Learning @ IISc (Jan - Apr 2022)

As part of the course project, I chose predicting the inference between two sentences using the Stanford Natural Language Inference Dataset by building machine learning models. All the steps like pre-processing, architecture design, hyper-parameter tuning were performed for two types of models:

  1. Logistic Regression using TF-IDF features in Scikit library
  2. Recurrent neural network in PyTorch framework

All code and results present in my GitHub repo .

I obtained an accuracy of 80.49%. Yay!