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Incremental-Dialogue-System

Code and data for acl2019 paper "Incremental Learning from Scratch for Task-Oriented Dialogue Systems".

If you use any source codes or datasets included in this toolkit in your work, please cite the following paper. The bibtex are listed below:

@article{wang2019incremental,
  title={Incremental Learning from Scratch for Task-Oriented Dialogue Systems},
  author={Wang, Weikang and Zhang, Jiajun and Li, Qian and Hwang, Mei-Yuh and Zong, Chengqing and Li, Zhifei},
  journal={arXiv preprint arXiv:1906.04991},
  year={2019}
}

Requirements

 python 3.6
 pytorch >= 1.0.0
 numpy
 scipy
 sklearn

Datasets

Our data is available at https://drive.google.com/file/d/1KYZNxzcU5kximq1-_IDC_4NCFabz40jN/view?usp=sharing. Download and unzip at ./data.

  • ./data/preprocessed contains the preprocessed five sub-dataset.
  • ./data/original contains the original dialogue episodes before entity replacing.
  • ./data/script annotates the dialogue scenarios in each episode.

Run Models

python run.py

Change Configurations

Change the parameters in RunConfig at config.py.