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space-2/README.md
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# SPACE2.0
This repository contains code and data for the **COLING'2022** paper "**Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding**".
This repository contains code and data for the **COLING'2022** paper "**SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding**".
Full version with Appendix is here: [[PDF]](https://arxiv.org/abs/2209.06638)
@ -203,11 +203,11 @@ sh scripts/multiwoz21/infer.sh
- For the data preparation and evaluation on MultiWOZ2.1, we refer to the code of [TripPy](https://gitlab.cs.uni-duesseldorf.de/general/dsml/trippy-public).
## Citation
If you use our code or find SPACE2.0 useful in your work, please cite our paper as:
If you use our code or find SPACE-2 useful in your work, please cite our paper as:
```bib
@inproceedings{he2022tree,
title={Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding},
title={SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding},
author={He, Wanwei and Dai, Yinpei and Hui, Binyuan and Yang, Min and Cao, Zheng and Dong, Jianbo and Huang, Fei and Si, Luo and Li, Yongbin},
booktitle={Proceedings of the 29th International Conference on Computational Linguistics},
year={2022}
@ -215,4 +215,4 @@ If you use our code or find SPACE2.0 useful in your work, please cite our paper
```
## Contact
For personal communication related to SPACE2.0, please contact Wanwei He (`ww.he@siat.ac.cn`).
For personal communication related to SPACE-2, please contact Wanwei He (`ww.he@siat.ac.cn`).

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space-3/README.md
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# SPACE3.0
This repository contains code and data for the **SIGIR'2022** paper "**Unified Dialog Model Pre-training for Task-Oriented Dialog
This repository contains code and data for the **SIGIR'2022** paper "**SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog
Understanding and Generation**".
Full version with Appendix is here: [[PDF]](https://arxiv.org/abs/2209.06664)
@ -234,11 +234,11 @@ sh scripts/multiwoz22/infer.sh
- For the data preparation and evaluation on MultiWOZ2.0/MultiWOZ2.1/In-Car Assistant/CamRest, we refer to the code of [GALAXY](https://github.com/siat-nlp/GALAXY).
## Citation
If you use our code or find SPACE useful in your work, please cite our paper as:
If you use our code or find SPACE-3 useful in your work, please cite our paper as:
```bib
@inproceedings{he2022unified,
title={Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation},
title={SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation},
author={He, Wanwei and Dai, Yinpei and Yang, Min and Sun, Jian and Huang, Fei and Si, Luo and Li, Yongbin},
booktitle={Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval},
pages={187--200},
@ -247,4 +247,4 @@ If you use our code or find SPACE useful in your work, please cite our paper as:
```
## Contact
For personal communication related to SPACE, please contact Wanwei He (`ww.he@siat.ac.cn`).
For personal communication related to SPACE-3, please contact Wanwei He (`ww.he@siat.ac.cn`).