| A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER | ✓ Link | 76.86±0.22 | 84.78±0.69 | 69.78±0.31 | 81.50±0.71 | | MSDP | 2023-08-28 |
| []() | | 71.62±0.44 | 76.14±0.20 | | | | JCELRNER | |
| NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data | ✓ Link | 67.37±0.31 | 73.50±0.09 | 66.54±0.40 | 71.04±0.14 | | NuNER | 2024-02-23 |
| HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition | ✓ Link | 66.40±0.18 | 72.53±0.11 | 60.91±0.20 | 68.92±0.20 | | HEProto | 2023-10-21 |
| Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition | ✓ Link | 64.83±0.14 | 72.12±0.12 | 64.06±0.19 | 69.94±0.15 | | TadNER | 2023-02-13 |
| Decomposed Meta-Learning for Few-Shot Named Entity Recognition | ✓ Link | 64.75±0.35 | 71.49±0.47 | 58.65±0.43 | 68.11±0.05 | | DecomposedMetaNER | 2022-04-12 |
| Decomposed Meta-Learning for Few-Shot Sequence Labeling | ✓ Link | 62.09±0.93 | 71.26±0.15 | 55.61±0.32 | 67.85±0.18 | 63.99 | DecomposedMetaSL | 2024-03-04 |
| An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling | ✓ Link | 59.29±1.25 | 69.06±0.80 | 52.16±0.79 | 64.00±0.43 | | ESD | 2021-09-27 |
| Language Model Pre-Training with Sparse Latent Typing | ✓ Link | 57.14 | 66.17 | 52.75 | 62.43 | | BERT-SparseLT + CONTaiNER | 2022-10-23 |
| CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning | ✓ Link | 55.95 | 61.83 | 48.35 | 57.12 | | CONTaiNER | 2021-09-15 |
| Few-NERD: A Few-Shot Named Entity Recognition Dataset | ✓ Link | 51.88±0.69 | 57.32±0.63 | 43.34±0.10 | 49.57±3.08 | | StructShot | 2021-05-16 |
| Few-NERD: A Few-Shot Named Entity Recognition Dataset | ✓ Link | 47.24±1.00 | 55.64±0.63 | 38.87±0.21 | 49.57±2.73 | | NNShot | 2021-05-16 |
| Few-NERD: A Few-Shot Named Entity Recognition Dataset | ✓ Link | 38.83±1.49 | 58.79±0.44 | 32.45±0.79 | 52.92±0.37 | | ProtoBERT | 2021-05-16 |