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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