Named Entity Recognition on Resume
96.72F1 ScoreDSPERT
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DSPERTScore type=Best score2022.10 | 96.72 | 96.69 | 96.75 | |
| Zhu and Li (2022)2022.10 | 96.66 | 96.63 | 96.69 | |
| Li et al. (2022)Score type=Average score2022.10 | 96.65 | 96.96 | 96.35 | |
| AESINER2020.10 | 96.62 | — | — | |
| Meng et al. (2019)text_encoder=BERT2020.10 | 96.54 | — | — | |
| DSPERTScore type=Average score2022.10 | 96.51 | 96.44 | 96.58 | |
| SoftLexicon (LSTM) + BERTBackbone=BERT, Encoder=LSTM, Lexicon=SoftLexicon2019.08 | 96.11 | 96.08 | 96.13 | |
| Ma et al. (2020)2022.10 | 96.11 | 96.08 | 96.13 | |
| Wu et al. (2021)2022.10 | 95.98 | — | — | |
| Li et al. (2020a)2022.10 | 95.86 | — | — | |
| SLK-NERModels=SLK-NER2020.07 | 95.8 | 95.2 | 96.4 | |
| Hu and Wei (2020)text_encoder=BERT2020.10 | 95.8 | — | — | |
| SoftLexicon (LSTM) + bicharEncoder=LSTM, Lexicon=SoftLexicon, Features=bichar2019.08 | 95.74 | 95.71 | 95.77 | |
| SoftLexiconLexicon=YJ Lexicon2022.05 | 95.74 | 95.71 | 95.77 | |
| BERT TaggerBackbone=BERT2019.08 | 95.68 | 94.87 | 96.5 | |
| Ma et al. (2020)2020.10 | 95.59 | — | — | |
| NFLATLexicon=YJ Lexicon2022.05 | 95.58 | 95.63 | 95.52 | |
| SoftLexicon (LSTM)Encoder=LSTM, Lexicon=SoftLexicon2019.08 | 95.53 | 95.3 | 95.77 | |
| BERT + LSTM + CRFBackbone=BERT, Encoder=LSTM, Decoder=CRF2019.08 | 95.51 | 95.75 | 95.28 | |
| FLATLexicon=YJ Lexicon2022.05 | 95.45 | — | — | |
| Char-based (LSTM) + bichar + ExSoftwordInput=Char-based, Encoder=LSTM, Features=bichar, Lexicon=ExSoftword2019.08 | 95.43 | 96.14 | 94.72 | |
| LGNModels=LGN[9]2020.07 | 95.4 | 95.3 | 95.5 | |
| PLTELexicon=YJ Lexicon2022.05 | 95.4 | 95.34 | 95.46 | |
| Gui et al. (2019b)2020.10 | 95.37 | — | — | |
| LGNLexicon=YJ Lexicon2022.05 | 95.37 | 95.28 | 95.46 | |
| Liu et al. (2019c)2020.10 | 95.21 | — | — | |
| WC-LSTMLexicon=YJ Lexicon2022.05 | 95.21 | 95.27 | 95.15 | |
| WC-LSTMModels=WC-LSTM[8]2020.07 | 95.2 | 95.3 | 95.2 | |
| LR-CNNEncoder=LR-CNN2019.08 | 95.11 | 95.37 | 94.84 | |
| Gui et al. (2019a)2020.10 | 95.11 | — | — | |
| LR-CNNLexicon=YJ Lexicon2022.05 | 95.11 | 95.37 | 94.84 | |
| LR-CNNModels=LR-CNN[7]2020.07 | 95.1 | 95.4 | 94.8 | |
| BERTModels=BERT[12]2020.07 | 95 | 94.2 | 95.8 | |
| Yan et al. (2019)2020.10 | 95 | — | — | |
| TENERLexicon=YJ Lexicon2022.05 | 95 | — | — | |
| Zhu and Wang (2019)2020.10 | 94.94 | — | — | |
| CANModels=CAN[14]2020.07 | 94.9 | 95.1 | 94.8 | |
| Char-based (LSTM) + ExSoftwordInput=Char-based, Encoder=LSTM, Lexicon=ExSoftword2019.08 | 94.85 | 95.29 | 94.42 | |
| LayerNormNorm Position=Post-Norm2022.10 | 94.8 | — | — | |
| Regularized BNNorm Position=Post-Norm2022.10 | 94.8 | — | — | |
| LatticeLSTMModels=LatticeLSTM[5]2020.07 | 94.5 | 94.8 | 94.1 | |
| BatchNormNorm Position=Post-Norm2022.10 | 94.5 | — | — | |
| Lattice-LSTMEncoder=Lattice-LSTM2019.08 | 94.46 | 94.81 | 94.11 | |
| Lattice-LSTMLexicon=YJ Lexicon2022.05 | 94.46 | 94.81 | 94.11 | |
| Char-based (LSTM) + bichar + softwordInput=Char-based, Encoder=LSTM, Features=bichar+softword2019.08 | 94.41 | 94.53 | 94.29 | |
| Word-based (LSTM) + char + bicharInput=Word-based, Encoder=LSTM, Features=char+bichar2019.08 | 94.24 | 94.07 | 94.42 | |
| LayerNormNorm Position=Pre-Norm2022.10 | 94 | — | — | |
| Regularized BNNorm Position=Pre-Norm2022.10 | 94 | — | — | |
| Word-based (LSTM)Input=Word-based, Encoder=LSTM2019.08 | 93.58 | 93.72 | 93.44 | |
| BiLSTM-CRFModels=BiLSTM-CRF[13]2020.07 | 93.5 | 93.7 | 93.3 | |
| Char-based (LSTM)Input=Char-based, Encoder=LSTM2019.08 | 93.48 | 93.66 | 93.31 | |
| BatchNormNorm Position=Pre-Norm2022.10 | 93.2 | — | — |