Nested Named Entity Recognition on NNE (test)
93.85PrecisionPIQN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PIQNBackbone=bert-large2022.03 | 93.85 | 94.23 | 94.04 | |
| BoningKnife2021.07 | 93.74 | 94.75 | 94.24 | |
| Shibuya and Hovy2021.07 | 93.03 | 93.34 | 93.19 | |
| Tan et al. (2021)run the code on the unreported dataset=true2022.03 | 93.01 | 89.21 | 91.07 | |
| Shen et al. (2021a)run the code on the unreported dataset=true2022.03 | 92.86 | 91.12 | 91.98 | |
| Wang et al. (2020a)reproduction on the same preprocessed dataset=true2022.03 | 92.64 | 93.53 | 93.08 | |
| Wang and Lu2021.07 | 91.8 | 91.1 | 91.4 | |
| Ringland et al. (2019)2022.03 | 91.8 | 91 | 91.4 | |
| BERTbase merge outmost & inmostBackbone=BERT-base2021.07 | 80.43 | 74.94 | 77.59 | |
| Wang et al.2021.07 | 77.4 | 70.1 | 73.6 | |
| Wang and Lu (2018)2022.03 | 77.4 | 70.1 | 73.6 | |
| Li et al. (2020b)run the code on the unreported dataset=true2022.03 | 53.13 | 56.67 | 54.84 |