Chinese Named Entity Recognition On Resume
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| Paper Title | ||
|---|---|---|
| BERT-CRF (Replicated in AdaSeq) | 96.87 | Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning |
| FGN | 96.79 | FGN: Fusion Glyph Network for Chinese Named Entity Recognition |
| Baseline + BS | 96.66 | Boundary Smoothing for Named Entity Recognition |
| AESINER | 96.62 | Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information |
| Glyce + BERT | 96.54 | Glyce: Glyph-vectors for Chinese Character Representations |
| FLAT+BERT | 95.86 | FLAT: Chinese NER Using Flat-Lattice Transformer |
| SLK-NER | 95.8 | SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER |
| LSTM + Lexicon augment | 95.59 | Simplify the Usage of Lexicon in Chinese NER |
| NFLAT | 95.58 | NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition |
| FLAT | 95.45 | FLAT: Chinese NER Using Flat-Lattice Transformer |
| TENER | 95 | TENER: Adapting Transformer Encoder for Named Entity Recognition |
| CAN-NER Model | 94.94 | CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition |
| Lattice | 94.46 | Chinese NER Using Lattice LSTM |
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