Skip to main content

Table 1 Evaluation scores obtained for the DDI detection task on the DDI corpus and on each type of document, comparing different configurations of the model

From: BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies

 

DDI test

DrugBank

Medline

Configuration

P

R

F

P

R

F

P

R

F

Word embeddings

0.7551

0.6865

0.7192

0.7620

0.7158

0.7382

0.6389

0.377

0.4742

+ WordNet

0.716

0.6936

0.7046

0.7267

0.7143

0.7204

0.5800

0.4754

0.5225

+ Common Ancestors

0.7661

0.6738

0.7170

0.7723

0.7003

0.7345

0.6667

0.3607

0.4681

+ Concat. Ancestors

0.7078

0.7489

0.7278

0.7166

0.7578

0.7366

0.6032

0.623

0.6129

+ WordNet + Ancestors

0.6572

0.8184

0.7290

0.6601

0.8385

0.7387

0.5574

0.5574

0.5574

  1. Evaluation metrics used: Precision (P), Recall (R) and F1-score (F). Each row represents the addition of an information source to the initial configuration
  2. Boldface indicates the configuration with highest score for each measure
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us