1 code implementation • Findings (ACL) 2022 • Yu tong, Jingzhi Guo, Jizhe Zhou, Ge Chen, Guokai Zheng
Thinking in reverse, CWS can also be viewed as a process of grouping a sequence of characters into a sequence of words.
no code implementations • 12 Feb 2023 • Guangyi Xiao, Xinlong Liu, Hao Chen, Jingzhi Guo, Zhiguo Gong
In this paper, we study the problem of legal domain adaptation problem from an imbalanced source domain to a partial target domain.
no code implementations • 11 Aug 2021 • Guangyi Xiao, Weiwei Xiang, Huan Liu, Hao Chen, Shun Peng, Jingzhi Guo, Zhiguo Gong
We propose a new general Graph Adversarial Domain Adaptation (GADA) based on semantic knowledge reasoning of class structure for solving the problem of unsupervised domain adaptation (UDA) from the big data with non-shared and imbalanced classes to specified small and imbalanced applications (NI-UDA), where non-shared classes mean the label space out of the target domain.