This is an implementation of the DeleteOnly and DeleteAndRetrieve models from Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
python train.py --config sample_config.json --bleu
This will train a model using the parameters in sample_config.json. Checkpoints, logs, decodings, and TensorBoard summaries will go into config's working_dir. The model will perform inference after each epoch.
See sample_config.json for all of the training options. The most important parameter is model_type, which can be delete, delete_retrieve, and seq2seq (which is a standard translation-style model).
Given two corpus files, use the scripts in tools/ to generate a vocabulary and attribute vocabulary:
python tools/make_vocab.py [entire corpus file (src + tgt cat'd)] [vocab size] > vocab.txt
python tools/make_attribute_vocab.py vocab.txt [corpus src file] [corpus tgt file] [salience ratio] > attribute_vocab.txt