Pre-trained Model for Chinese Word Segmentation with Meta Learning

23 Oct 2020 Zhen Ke Liang Shi Erli Meng Bin Wang Xipeng Qiu

Recent researches show that pre-trained models such as BERT (Devlin et al., 2019) are beneficial for Chinese Word Segmentation tasks. However, existing approaches usually finetune pre-trained models directly on a separate downstream Chinese Word Segmentation corpus... (read more)

PDF Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper