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csci544-group32

Members:

  1. Bryan Ho
  2. Dweepa Honnavalli
  3. Gopi K Y Gavuji
  4. Mollee Jain
  5. Rahul Kishan

Notebooks & Code Summary

We had three tasks we have notebooks for:

  1. Baselines
  2. Hierarchical Model
  3. Feedback

Generate_Embeddings.ipynb is a base notebook we used to generate the token and sentence embeddings used across models. For our hierarchical model, we used colab pro to have more resources to run.

  1. Baselines:
  • SVR: svr_baseline.ipynb
  • Bayesian Ridge Regression: ridge_regression.ipynb
  • CNN: CNN_Model.ipynb
  • LSTM: LSTM_Model.ipynb
  1. Hierarchical Model: CNN_LSTM_Attention.ipynb

  2. Feedback: Feedback_Model.ipynb