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Table 5 Four types intent classification result

From: A benchmark dataset and case study for Chinese medical question intent classification

Model

Accuracy

TextCNN

0.859

TextRNN

0.814

Fast Text

0.860

TextGCN

0.683

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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