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Table 3 The hyper parameters of our model

From: Dependency-based long short term memory network for drug-drug interaction extraction

Parameter

Description

Value

dw

Dimension of word embedding

100

dp

Dimension of distance embedding

10

num

The number of hidden units

300

ρ

The ratio of dropout

0.7

l 2

The L2 regularization

0.001

l a

The learning rate of Adam optimizer

0.01

α

The ratio of under sampling

0.5

β

The ratio of oversampling

0.5

K

The times of oversampling

6