Chinese Word Segmentation on MSRA (test)
98.67F1 ScoreChineseBERT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ChineseBERTModel size=Large, Pre-trained on extended data=false2021.06 | 98.67 | 99.26 | |
| BABERT-LECategory=Supervised Lexicon Enhanced Model, External Knowledge=Yes2022.10 | 98.63 | — | |
| NEZHACategory=Pre-Trained Language Model2022.10 | 98.61 | — | |
| ChineseBERTModel size=Base, Pre-trained on extended data=false2021.06 | 98.6 | 99.14 | |
| RoBERTaModel size=Large, Pre-trained on extended data=true2021.06 | 98.49 | 99.13 | |
| RoBERTaModel size=Base, Pre-trained on extended data=true2021.06 | 98.46 | 99.1 | |
| BABERTCategory=Pre-Trained Language Model2022.10 | 98.44 | — | |
| BERTModel size=Base, Pre-trained on extended data=true2021.06 | 98.42 | 99.04 | |
| BERT-LECategory=Supervised Lexicon Enhanced Model, External Knowledge=Yes, Reproduced=Yes2022.10 | 98.41 | — | |
| MEM-ZENCategory=Supervised Lexicon Enhanced Model, External Knowledge=Yes2022.10 | 98.4 | — | |
| BERT-wwmCategory=Pre-Trained Language Model2022.10 | 98.31 | — | |
| ZENCategory=Pre-Trained Language Model2022.10 | 98.28 | — | |
| MEM-BERTCategory=Supervised Lexicon Enhanced Model, External Knowledge=Yes2022.10 | 98.28 | — | |
| ERNIE-GramCategory=Pre-Trained Language Model2022.10 | 98.27 | — | |
| ERNIECategory=Pre-Trained Language Model2022.10 | 98.25 | — | |
| BERTCategory=Pre-Trained Language Model2022.10 | 98.22 | — | |
| LatticeCategory=Supervised Lexicon Enhanced Model, External Knowledge=Yes2022.10 | 97.8 | — |