Text Classification Method Based on Bidirectional Attention and Gated Graph Convolutional Networks

• Published in: Ji suan ji ke xue Vol. 50; no. 1; pp. 221 - 228
• Main Authors: Zheng, Cheng, Mei, Liang, Zhao, Yiyan, Zhang, Suhang
• Format: Journal Article
• Language: Chinese
• Published: Chongqing Guojia Kexue Jishu Bu 01.01.2023; Editorial office of Computer Science
• Subjects: Artificial neural networks; Classification; Documents; Embedding; Graphical representations; Networks; Nodes; Text categorization; text classification|graph convolutional networks|attention mechanism|text representation|deep learning|natural language processing

Existing text classification models based on graph convolutional networks usually simply fuse the neighborhood information of different orders through the adjacency matrix to update the representation of node in graph, resulting in insufficientrepresentation of the word sense information of the node...