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Table 7 Evaluation results for the Hallmarks of Cancer task (HOC) text classification task

From: BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine

 

Document classification

Sentence classification

Model

Precision

Recall

F1

Precision

Recall

F1

Baseline (no retrofitting)

77.8

51.7

62.1

56.8

30.7

39.9

22-classes retrofitted

74.4

62.1

67.7*

49.1

35.8

41.4*

117-subclasses retrofitted

74.8

62.5

68.1*

48.6

35.2

40.8*

  1. The Baseline model is a skip-gram model without any retrofitting. All figures are micro-averages expressed as percentages (Bold denotes the best F1-score, * denotes statistically significant scores with respect to the baseline)
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Journal of Biomedical Semantics

ISSN: 2041-1480