Chinese Named Entity Recognition On Resume
評価指標
F1
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
モデル名 | F1 |
---|---|
boundary-smoothing-for-named-entity-1 | 96.66 |
chinese-ner-using-lattice-lstm | 94.46 |
improving-named-entity-recognition-with | 96.62 |
flat-chinese-ner-using-flat-lattice | 95.45 |
glyce-glyph-vectors-for-chinese-character | 96.54 |
flat-chinese-ner-using-flat-lattice | 95.86 |
fgn-fusion-glyph-network-for-chinese-named | 96.79 |
tener-adapting-transformer-encoder-for-name | 95 |
simplify-the-usage-of-lexicon-in-chinese-ner | 95.59 |
slk-ner-exploiting-second-order-lexicon | 95.8 |
improving-named-entity-recognition-by | 96.87 |
nflat-non-flat-lattice-transformer-for | 95.58 |
can-ner-convolutional-attention-network | 94.94 |