Table 5 Performance on the test set (95% CI = 95% confidence interval)
From: C-Norm: a neural approach to few-shot entity normalization
Habitats | Phenotypes | |||
|---|---|---|---|---|
Wang [95% CI] | Strict [95% CI] | Wang [95% CI] | Strict [95% CI] | |
Baseline | 0.559 [0.543, 0.576] | 0.224 [0.199, 0.250] | 0.581 [0.559, 0.604] | 0.091 [0.056, 0.127] |
AmritaCen | 0.522 [0.497, 0.548] | 0.347 [0.314, 0.376] | 0.646 [0.595, 0.698] | 0.512 [0.448, 0.571] |
BOUN-ISIK | 0.687 [0.667, 0.710] | 0.428 [0.395, 0.459] | 0.566 [0.520, 0.610] | 0.315 [0.259, 0.373] |
BLAIR GMU | 0.615 [0.596, 0.632] | 0.211 [0.185, 0.237] | 0.646 [0.607, 0.685] | 0.313 [0.254, 0.373] |
PADIA | 0.684 [0.661, 0.709] | 0.488 [0.456, 0.519] | 0.758 [0.716, 0.803] | 0.618 [0.556, 0.676] |
CONTES | 0.715 [0.694, 0.736] | 0.500 [0.467, 0.529] | 0.799 [0.760, 0.835] | 0.616 [0.553, 0.675] |
HONOR | 0.737 [0.716, 0.759] | 0.531 [0.499, 0.563] | 0.778 [0.738, 0.814] | 0.578 [0.519, 0.640] |
C-Norm | 0.777 [0.755, 0.797] | 0.604 [0.574, 0.635] | 0.881 [0.855, 0.907] | 0.700 [0.643, 0.755] |