- train: train a generative model using a labeled NLU dataset.
- predict: predict intents and slot labels for an unlabeled NLU dataset.
- generate: generate utterances and their respective intents and slot labels with the given latent variable sampling distribution (uniform, gaussian, gaussian mixture, etc.)
Run python -m (train|predict|generate) --help to checkout available options
Python >3.6 is required at the least.
- Install packages listed in
requirements.txt. - To validate generated sentences using the Universal Sentence Encoder (arxiv:1803:11175), install
tensorflowandtensorflow-hubpackages. - To use tensorboard as the visualization tool, install
tensorboardX==1.7