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Table 7 The effect of using the BANNER entity tagger compared to gold-standard entities on the performance (precision, recall and F-score) of our simple baseline algorithm, Baseline(K).

From: A realistic assessment of methods for extracting gene/protein interactions from free text

  A B H I (L)
Precision:      
With gold-standard entities 22.8 24 54 44.8 53.9
With BANNER 18.4 23.5 32 20 43.8
Δ precision 4.4 0.5 22 24.8 10.1
Recall:      
With gold-standard entities 51.5 52.2 66.9 56.4 72
With BANNER 42.1 33.5 49.7 27.5 51.2
Δ recall 9.4 18.7 17.2 28.9 20.8
F-score:      
With gold-standard entities 31.6 32.9 59.7 49.9 61.6
With BANNER 25.6 27.6 38.9 23.1 47.2
Δ F-score 6 5.3 20.8 26.8 14.4
  1. Corpus abbreviations are as follows: A = AIMed; B = BioInfer; H = HPRD50; I = IEPA; L = LLL.