Codebase for the EMNLP19 paper "Adaptive Parameterization for Neural Dialogue Generation".
This codebase is built upon the ParlAI project. Check parlai/agents/AdaND for our model implementations.
- Python3
- Pytorch 1.2 or newer
Dependencies of the core modules are listed in requirement.txt.
git clone [email protected]:hengyicai/AdaND.git ~/AdaND
cd ~/AdaND; python setup.py develop
echo "export PARLAI_HOME=~/AdaND" >> ~/.bashrc; source ~/.bashrc
cd ~/AdaND/data
tar -xzvf adand_data.tar.gz
cd ~/AdaND
python projects/AdaND/train_AdaND.py
If you find our code/models or ideas useful in your research, please consider citing the paper:
@inproceedings{hengyi_emnlp19,
author = {Hengyi Cai and Hongshen Chen and Cheng Zhang and Yonghao Song and Xiaofang Zhao and Dawei Yin},
title = {Adaptive Parameterization for Neural Dialogue Generation},
booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural
Language Processing and the 9th International Joint Conference on
Natural Language Processing, {EMNLP-IJCNLP} 2019, Hong Kong, China,
November 3-7, 2019},
pages = {1793--1802},
publisher = {Association for Computational Linguistics},
year = {2019},
url = {https://doi.org/10.18653/v1/D19-1188},
doi = {10.18653/v1/D19-1188},
}