Skip to main content

Table 4 The number of bio-entity type errors, the total number of errors, and the ratio of bio-entity errors to the total numbers of errors for each model prediction

From: CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

 

Our STM

CollaboNet

 

Dataset

Bio Entity

Total

Ratio of Bio Entity

Bio Entity

Total

Ratio of Bio Entity

Difference

NCBI-disease

54

167

32.3%

38

131

29.0%

-3.3%

JNLPBA

749

1520

49.3%

227

1437

15.8%

-33.5%

BC5CDR-chem

142

503

28.2%

122

505

24.2%

-4.1%

BC5CDR-disease

199

867

23.0%

131

728

18.0%

-5.0%

BC2GM

189

1277

14.8%

218

1165

18.7%

3.9%

  1. Negative values at the difference tab indicate that CollaboNet reduced the number of false positives, especially false biomedical entities