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Table 3 Event detection performance on the BioNLP 2013 shared tasks test sets

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

Dataset

Model

P

R

F1

CG 2013

TEES

0.6142

0.5293

0.5686

EXNN

0.6555

0.4810

0.5549

SBNN

0.6367

0.5143

0.5690

PC 2013

TEES

0.5885

0.4790

0.5281

EXNN

0.6151

0.4088

0.4912

SBNN

0.5531

0.4855

0.5171

GE 2013

TEES

0.5895

0.4029

0.4787

EXNN

0.5925

0.3881

0.4690

SBNN

0.6155

0.3859

0.4744

  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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