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Guanqing Liang

1 accepted papers

2021

Improving Model Generalization: A Chinese Named Entity Recognition Case Study

ACL 2021short

Generalization is an important ability that helps to ensure that a machine learning model can perform well on unseen data. In this paper, we study the effect of data bias on model generalization, using Chinese Named Entity Recognition (NER) as a case study. Specifically, we analyzed five benchmarkin…