Back-N-Forth

Code base for reproducing experimental results for the proposed Back-N-Forth algorithm.

To run the automatic evaluation, download the checkpoints, unzip them and run

   python main.py --eval_mode=True

To run the interactive demo, run:

   python main.py --start_server=True

To train a model on your own machine, simply run:

   python main.py

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
classification_outputs		classification_outputs
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
corrupted_story_title_confused.txt		corrupted_story_title_confused.txt
corrupted_story_title_spelling.txt		corrupted_story_title_spelling.txt
main.py		main.py
seq2seq.py		seq2seq.py
train-classification.ipynb		train-classification.ipynb
train_vae.ipynb		train_vae.ipynb

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