Papers › Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition
Yongqi Li, Yu Yu, Tieyun Qian
Despite the recent success achieved by several two-stage prototypical networks in few-shot named entity recognition (NER) task, the overdetected false spans at the span detection stage and the inaccurate and unstable prototypes at the type classification stage remain to be challenging problems. In this paper, we propose a novel Type-Aware Decomposed framework, namely TadNER, to solve these problems. We first present a type-aware span filtering strategy to filter out false spans by removing those semantically far away from type names. We then present a type-aware contrastive learning strategy to construct more accurate and stable prototypes by jointly exploiting support samples and type names as references. Extensive experiments on various benchmarks prove that our proposed TadNER framework yields a new state-of-the-art performance. Our code and data will be available at https://github.com/NLPWM-WHU/TadNER.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Few-shot NER | Few-NERD (INTER) | TadNER | 10 way 1~2 shot | 64.06±0.19 | #5 of 13 | Archive leaderboard | report |
| Few-shot NER | Few-NERD (INTER) | TadNER | 10 way 5~10 shot | 69.94±0.15 | #5 of 13 | Archive leaderboard | report |
| Few-shot NER | Few-NERD (INTER) | TadNER | 5 way 1~2 shot | 64.83±0.14 | #5 of 13 | Archive leaderboard | report |
| Few-shot NER | Few-NERD (INTER) | TadNER | 5 way 5~10 shot | 72.12±0.12 | #5 of 13 | Archive leaderboard | report |
| Few-shot NER | Few-NERD (INTRA) | TadNER | 10 way 1~2 shot | 55.44±0.08 | #3 of 13 | Archive leaderboard | report |
| Few-shot NER | Few-NERD (INTRA) | TadNER | 10 way 5~10 shot | 60.87±0.22 | #3 of 13 | Archive leaderboard | report |
| Few-shot NER | Few-NERD (INTRA) | TadNER | 5 way 1~2 shot | 60.78±0.32 | #3 of 13 | Archive leaderboard | report |
| Few-shot NER | Few-NERD (INTRA) | TadNER | 5 way 5~10 shot | 67.94±0.17 | #3 of 13 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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