- 2021.6.18: Add [LAUG](https://github.com/thu-coai/LAUG)[[paper]](https://arxiv.org/abs/2012.15262), an open-source toolkit for Language understanding AUGmentation. It is an automatic method to approximate the natural perturbations to existing data. Augmented data could be used to conduct black-box robustness testing or enhancing training. Add [SC-GPT](https://github.com/pengbaolin/SC-GPT)[[paper]](https://arxiv.org/abs/2002.12328) for NLG.
## Installation
## Installation
Require python 3.6.
Require python 3.6.
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@@ -259,6 +262,13 @@ If you use ConvLab-2 in your research, please cite:
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year={2020},
year={2020},
booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
booktitle={Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
}
}
@inproceedings{liu2021robustness,
title={Robustness Testing of Language Understanding in Task-Oriented Dialog},
author={Liu, Jiexi and Takanobu, Ryuichi and Wen, Jiaxin and Wan, Dazhen and Li, Hongguang and Nie, Weiran and Li, Cheng and Peng, Wei and Huang, Minlie},
year={2021},
booktitle={Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics},