An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition

no code implementations • ACL 2022 • Zhuoran Li, Chunming Hu, Xiaohui Guo, Junfan Chen, Wenyi Qin, Richong Zhang

In this study, based on the knowledge distillation framework and multi-task learning, we introduce the similarity metric model as an auxiliary task to improve the cross-lingual NER performance on the target domain.

Cross-Lingual NER Knowledge Distillation +4

E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models

no code implementations • COLING 2022 • Ling Ge, Chunming Hu, Guanghui Ma, Junshuang Wu, Junfan Chen, Jihong Liu, Hong Zhang, Wenyi Qin, Richong Zhang

Enhancing the interpretability of text classification models can help increase the reliability of these models in real-world applications.

Contrastive Learning text-classification +1