Decomposed Meta-Learning for Few-Shot Sequence Labeling

Benchmark Model Rank Results
few-shot-ner-on-few-nerd-interDecomposedMetaSL#65 way 1~2 shot: 62.09±0.935 way 5~10 shot: 71.26±0.15
few-shot-ner-on-few-nerd-intraDecomposedMetaSL#55 way 1~2 shot: 49.90±0.335 way 5~10 shot: 64.36±0.20
slot-filling-on-snipsDecomposedMetaSL#9F1 (1-shot) avg: 74.89F1 (5-shot) avg: 84.54