Glyce: Glyph-vectors for Chinese Character Representations

Benchmark Model Rank Results
chinese-named-entity-recognition-on-msraGlyce + BERT#8F1: 95.54Precision: 95.57Recall: 95.51
chinese-named-entity-recognition-on-ontonotesGlyce + BERT#8F1: 80.62Precision: 81.87Recall: 81.4
chinese-named-entity-recognition-on-resumeGlyce + BERT#5F1: 96.54Precision: 96.62Recall: 96.48
chinese-named-entity-recognition-on-weibo-nerGlyce + BERT#9F1: 67.6Precision: 67.68Recall: 67.71
chinese-word-segmentation-on-msrGlyce + BERT#5F1: 98.3Precision: 98.2Recall: 98.3
chinese-word-segmentation-on-pkuGlyce + BERT#2F1: 96.7Precision: 97.1Recall: 96.4