Robust Chinese Word Segmentation with Contextualized Word Representations
Table 2: The state of the art performance on different datasets. We also compare with existing word segmentation toolkits Jieba and CKIP Hsieh et al. (2012).
['[EMPTY]', 'AS', 'CITYU', 'MSR', 'PKU', 'UD']
We compare our model with the state-of-the-art results from recent neural network based models, together with existing word segmentation toolkits Jieba and CKIP Hsieh et al. We achieve the best results on all datasets.