1 code implementation • COLING 2022 • Yawen Ouyang, Zhen Wu, Xinyu Dai, ShuJian Huang, Jiajun Chen
In this paper, we propose a more desirable task, multi-label unknown intent detection, to detect whether the utterance contains the unknown intent, in which each utterance may contain multiple intents.
no code implementations • 18 Feb 2024 • Zheng Ma, Changxin Wang, Yawen Ouyang, Fei Zhao, Jianbing Zhang, ShuJian Huang, Jiajun Chen
If a certain metric has flaws, it will be exploited by the model and reflected in the generated sentences.
1 code implementation • 23 Oct 2023 • Fei Zhao, Chunhui Li, Zhen Wu, Yawen Ouyang, Jianbing Zhang, Xinyu Dai
Therefore, in this work, we focus on whether the negative impact of noisy images can be reduced without modifying the data.
2 code implementations • Findings (ACL) 2021 • Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, ShuJian Huang, Jiajun Chen
Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose intent has never appeared in the training set.
1 code implementation • ACL 2020 • Yawen Ouyang, Moxin Chen, Xin-yu Dai, Yinggong Zhao, Shu-Jian Huang, Jia-Jun Chen
Recent proposed approaches have made promising progress in dialogue state tracking (DST).