Glyce: Glyph-vectors for Chinese Character Representations
Table 6: Accuracies for Single Sentence Classification task.
['Model', 'ChnSentiCorp', 'the Fudan corpus', 'iFeng']
We observe similar phenomenon as before: Glyce+BERT achieves SOTA results on all of the datasets. Specifically, the Glyce+BERT model achieves an almost perfect accuracy (99.8) on the Fudan corpus.