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Table 4 Performance comparison between for three pipeline scenarios on the CG 2013 development set

From: Comparing neural models for nested and overlapping biomedical event detection

Scenario

Model

P

R

F1

Upper-bound

EXNN

0.9762

0.8745

0.9225

 

SBNN

0.9700

0.8979

0.9326

Pipeline

EXNN

0.5690

0.5331

0.5505

 

SBNN

0.5926

0.5384

0.5642

Lower-bound

EXNN

0.5621

0.3332

0.4184

 

SBNN

0.5656

0.3403

0.4249

  1. Bold indicates best performing Precision (P), Recall (R) and F1 measure for the respective scenarios and models
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BMC Bioinformatics

ISSN: 1471-2105

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