This is the bot we used for the experiments in our paper on "Few-shot Generalisation Across Dialogue Tasks".
To install all the requirements needed to use this bot, please run:
pip install -r requirements.txt
To train the core model, run:
make train-core
To run the bot on the commandline, run:
make run
Data:
- exclusion percentages: [0, 5, 25, 50, 70, 90, 95, 100]
- augmentation_factor: 0
- runs: 5
Embedding policy:
- epochs: 2000
- attn_shift_range: 5
- embed_dim: 20
- both attentions
- rnn size: 64
- everthing else default
Keras policy:
- binary featurizer/ label token featurizer
- batch size: 32
- rnn size: 64
- epochs: 400
- max history: 38
data/core/train/
- training data from the hotel + restaurant domain
data/core/test
- test data from the hotel domain
services
- dummy API services for hotel/restaurant recommendation
actions.py
- actions file containing the hotel/restaurant search actions