Awesome
README
- Code for
- Yan, G., Fan, L., Li, Q., Liu, H., Zhang, X., Wu, X. M., & Lam, A. Y. (2020, July). Unknown intent detection using Gaussian mixture model with an application to zero-shot intent classification. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 1050-1060).
- Liu, H., Zhang, X., Fan, L., Fu, X., Li, Q., Wu, X. M., & Lam, A. Y. (2019, November). Reconstructing capsule networks for zero-shot intent classification. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) (pp. 4799-4809).
Environment
conda env create -f intentTorch110.yml
Example to Run
- SEG unknown intent detection
cd spin_outlier_ws
seg_75.sh SMP Caption 0 0
- SEG RecapsNet for zero shot learning
cd spin_outlier_ws
seg_zero_shot.sh SMP Caption 0
- ReCapsNet
- Please refer to
code/model_torch.CapsAll
and code/do_spin_outlier
Note
- Please refer to
code/config
and code/main_*
for configuration.
- The output results can be found in
code/saved_models
@inproceedings{yan-etal-2020-unknown,
title = "Unknown Intent Detection Using {G}aussian Mixture Model with an Application to Zero-shot Intent Classification",
author = "Yan, Guangfeng and
Fan, Lu and
Li, Qimai and
Liu, Han and
Zhang, Xiaotong and
Wu, Xiao-Ming and
Lam, Albert Y.S.",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2020.acl-main.99",
pages = "1050--1060",
}
@inproceedings{liu-etal-2019-reconstructing,
title = "Reconstructing Capsule Networks for Zero-shot Intent Classification",
author = "Liu, Han and
Zhang, Xiaotong and
Fan, Lu and
Fu, Xuandi and
Li, Qimai and
Wu, Xiao-Ming and
Lam, Albert Y.S.",
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)",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/D19-1486",
doi = "10.18653/v1/D19-1486",
pages = "4799--4809",
}