Course project by Soham Pal and Akash Valsangkar for the course E1 246: Natural Language Understanding offered at IISc Bangalore. The code is based on the repository R-Net.
Note that the original network must be trained before running the notebooks via python config.py --mode prepro and python config.py --mode train. You must create the directories log/binary_model, log/badptr_model and log_combo_model after this. Then, run the data processing notebooks. Note that the notebook 4 Data Processing (Combined).ipynb must be run before running any of the other Data Processing notebooks. Finally, you can run the experiments by first running the Training notebook and then the corresponding Tester notebook.
For information on the networks and the results, read the accompanying report.pdf. The code is "research" grade, so things might break!