1 code implementation • COLING 2022 • Junjie Yu, Xing Wang, Jiangjiang Zhao, Chunjie Yang, Wenliang Chen
The approach first classifies the auto-annotated instances into two groups: confident instances and uncertain instances, according to the probabilities predicted by a teacher model.
1 code implementation • 6 Jul 2022 • Zhijian Ou, Junlan Feng, Juanzi Li, Yakun Li, Hong Liu, Hao Peng, Yi Huang, Jiangjiang Zhao
A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems, Co-located with EMNLP2022 SereTOD Workshop.
1 code implementation • 5 Nov 2020 • Han Zhu, Jiangjiang Zhao, Yuling Ren, Li Wang, Pengyuan Zhang
Then, for each class, probabilities of this class are used to compute a mean vector, which we refer to as mean soft labels.