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Table 2 Evaluation against RegulonDB

From: Improving the extraction of complex regulatory events from scientific text by using ontology-based inference

Corpus

Recall

Precision

F-score

ecoli-tf.abstract

22.4% (0.3%)

77.2% (50.0%)

0.35 (0.01)

ecoli-tf.fulltext

24.0% (1.5%)

67.1% (76.1%)

0.35 (0.03)

regulon.abstract

17.1% (0.1%)

85.0% (80.0%)

0.28 (0.00)

regulon.fulltext

14.1% (1.2%)

74.0% (91.7%)

0.24 (0.02)

Total

33.1% (2.1%)

66.6% (79.6%)

0.44 (0.04)