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Table 2 Evaluation scores obtained for the DDI classification 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

0.5819

0.5291

0.5542

0.5868

0.5512

0.5685

0.5000

0.2951

0.3711

+ WordNet

0.5754

0.5574

0.5663

0.5845

0.5745

0.5795

0.4600

0.3770

0.4144

+ Common Anc.

0.5968

0.5248

0.5585

0.6045

0.5481

0.5749

0.5152

0.2787

0.3617

+ Concat. Anc.

0.5282

0.5589

0.5431

0.5286

0.5590

0.5434

0.4921

0.5082

0.5000

+ WordNet + Anc.

0.5182

0.6454

0.5749

0.5171

0.6568

0.5787

0.4590

0.4590

0.4590

  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