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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.