Papers › An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling

27 Sep 2021NAACL 2022 7arXiv:2109.13023archive 2025-07-28

Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui

Few-Shot Sequence Labeling (FSSL) is a canonical paradigm for the tagging models, e.g., named entity recognition and slot filling, to generalize on an emerging, resource-scarce domain. Recently, the metric-based meta-learning framework has been recognized as a promising approach for FSSL. However, most prior works assign a label to each token based on the token-level similarities, which ignores the integrality of named entities or slots. To this end, in this paper, we propose ESD, an Enhanced Span-based Decomposition method for FSSL. ESD formulates FSSL as a span-level matching problem between test query and supporting instances. Specifically, ESD decomposes the span matching problem into a series of span-level procedures, mainly including enhanced span representation, class prototype aggregation and span conflicts resolution. Extensive experiments show that ESD achieves the new state-of-the-art results on two popular FSSL benchmarks, FewNERD and SNIPS, and is proven to be more robust in the nested and noisy tagging scenarios. Our code is available at https://github.com/Wangpeiyi9979/ESD.

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Tasks

Few-shot NERMeta-LearningNamed Entity RecognitionNamed Entity Recognition (NER)Slot Fillingnamed-entity-recognitionslot-filling

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Few-shot NER Few-NERD (INTER) ESD 10 way 1~2 shot 52.16±0.79 #8 of 13 Archive leaderboard report
Few-shot NER Few-NERD (INTER) ESD 10 way 5~10 shot 64.00±0.43 #8 of 13 Archive leaderboard report
Few-shot NER Few-NERD (INTER) ESD 5 way 1~2 shot 59.29±1.25 #8 of 13 Archive leaderboard report
Few-shot NER Few-NERD (INTER) ESD 5 way 5~10 shot 69.06±0.80 #8 of 13 Archive leaderboard report
Few-shot NER Few-NERD (INTRA) ESD 10 way 1~2 shot 30.00±0.70 #10 of 13 Archive leaderboard report
Few-shot NER Few-NERD (INTRA) ESD 10 way 5~10 shot 42.15±2.60 #10 of 13 Archive leaderboard report
Few-shot NER Few-NERD (INTRA) ESD 5 way 1~2 shot 36.08±1.60 #10 of 13 Archive leaderboard report
Few-shot NER Few-NERD (INTRA) ESD 5 way 5~10 shot 52.14±1.50 #10 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.

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