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Table 1 Model performance by feature set.

From: Semantic role labeling for protein transport predicates

 

Labeled

Unlabeled

Labeled

 

Precision

Recall

F-measure

Precision

Recall

Accuracy

Word-Chunking

79.7

64.4

71.3

80.1

64.7

99.6

Phrase-Chunking

81.0

71.9

76.2

81.9

72.7

98.9

Protein-Transport

87.6

79.0

83.1

87.9

79.2

99.7

Protein-Transport (ABNER)

87.0

74.5

80.3

87.3

74.8

99.7

  1. This table shows precision, recall, F-measure and labeled accuracy statistics for semantic role labeling models trained on various feature sets. "ABNER" indicates the results when using the ABNER-identified proteins instead of the manually annotated ones.