The Study on the Text Classification Based on Graph Convolutional Network and BiLSTM

The Study on the Text Classification Based on Graph Convolutional Network and BiLSTM

Graph Convolutional Neural Network (GCN) is widely used in text classification tasks. Furthermore, it has been effectively used to accomplish tasks that are thought to have a rich relational structure. However, due to the sparse adjacency matrix constructed by GCN, GCN cannot make full use of contex...

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Bibliographic Details
Main Authors: Bingxin Xue, Cui Zhu, Xuan Wang, Wenjun Zhu
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
text classification
graph convolutional network
dependencies
Bi-directional Long Short-Term Memory
ResNet
Online Access:https://www.mdpi.com/2076-3417/12/16/8273

Internet

https://www.mdpi.com/2076-3417/12/16/8273

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