Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions
TABLE VI: Comparative Results Between Different Convolutions
['Methods', 'Precision', 'Recall', 'F{}_{1}-score']
From this table, we observe that each half of the convolutional layers can perform well independently ( F{}_{1}-score \geq 91.12\%). Moreover, we can obtain a better F{}_{1}-score when they combines together.