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

2. Hierarchical Model: CNN_LSTM_Attention.ipynb

3. Feedback: Feedback_Model.ipynb