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Table 2 Performance of all methods on the BB-norm development set (mean with standard deviation)

From: C-Norm: a neural approach to few-shot entity normalization

  BB-norm habitats BB-norm phenotypes
Wang score Strict score Wang score Strict score
SLFNN 0.654 ± 0.003 0.325 ± 0.004 0.814 ± 0.013 0.537 ± 0.011
S-CNN 0.696 ± 0.003 0.510 ± 0.007 0.782 ± 0.005 0.501 ± 0.013
Sieve (threshold = 0.4) 0.725 ± 0.003 0.508 ± 0.005 0.807 ± 0.008 0.527 ± 0.009
C-Norm 0.819 ± 0.004 0.633 ± 0.009 0.854 ± 0.011 0.620 ± 0.024
  1. The highest scores are in italics