Hongyan Xie, Haoxiang Su, Shuangyong Song, Hao Huang, Bo Zou, Kun Deng, Jianghua Lin, Zhihui Zhang, Xiaodong He 0002. Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 876-889, Association for Computational Linguistics, 2022. [doi]
@inproceedings{XieSSHZDLZ022,
title = {Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking},
author = {Hongyan Xie and Haoxiang Su and Shuangyong Song and Hao Huang and Bo Zou and Kun Deng and Jianghua Lin and Zhihui Zhang and Xiaodong He 0002},
year = {2022},
url = {https://aclanthology.org/2022.emnlp-main.56},
researchr = {https://researchr.org/publication/XieSSHZDLZ022},
cites = {0},
citedby = {0},
pages = {876-889},
booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11},
editor = {Yoav Goldberg and Zornitsa Kozareva and Yue Zhang},
publisher = {Association for Computational Linguistics},
}