Have a personal or library account? Click to login
Research on Improved Dual Channel Medical Short Text Intention Recognition Algorithm Cover

Research on Improved Dual Channel Medical Short Text Intention Recognition Algorithm

By: Chao Wang,  Yongyong Sun and  Fei Xu  
Open Access
|Mar 2024

Figures & Tables

Figure 1.

Architecture diagram of AB-CNN-BGRU-att model
Architecture diagram of AB-CNN-BGRU-att model

Figure 2.

ALBERT model structure
ALBERT model structure

Figure 3.

GRU network structure
GRU network structure

Figure 4.

BiGRU network structure
BiGRU network structure

Figure 5.

Improved TextCNN model structure
Improved TextCNN model structure

Figure 6.

Model validation results
Model validation results

Figure 7.

Comparison of Network Time
Comparison of Network Time

comparison of experimental results

ModelAcc%Pre%Recall%F1%
SAttBiGRU96.1696.2096.1696.17
Self-Attention-CNN94.8594.8994.8594.85
BiGRU-MCNN95.4395.4595.4395.43
MC-AttCNN-AttBiGRU95.9395.9895.9395.93

experimental dataset

NameTraining SetTest SetValidation SetCategoryTotal
KUAKE-QIC6931199419551110880
THUCNews_Title180000100001000010200000

results of ablation experiment

ModelAcc%Pre%Recall%F1%
TextCNN89.9689.9089.9689.90
Improved TextCNN94.8594.8994.8594.85
BiGRU-att94.0094.1794.0094.90
AB-CNN-BGRU-att96.6896.6896.6796.67

comparison between bigru-att and bilstm-att

Network LayerAverage DurationTotal DurationAcc%F1%
BiGRU-att2286.9s45738s90.8390.64
BiLSTM-att2422.55s48451s90.4590.41
Language: English
Page range: 82 - 89
Published on: Mar 16, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Chao Wang, Yongyong Sun, Fei Xu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.