An Integration Model Based on Graph Convolutional Network for Text Classification

An Integration Model Based on Graph Convolutional Network for Text Classification

Graph Convolutional Network (GCN) is extensively used in text classification tasks and performs well in the process of the non-euclidean structure data. Usually, GCN is implemented with the spatial-based method, such as Graph Attention Network (GAT). However, the current GCN-based methods still lack...

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Bibliographic Details
Main Authors: Hengliang Tang, Yuan Mi, Fei Xue, Yang Cao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Bidirectional long short-term memory network
dependency relationship
graph convolutional network
part-of-speech information
text classification
Online Access:https://ieeexplore.ieee.org/document/9164957/

Internet

https://ieeexplore.ieee.org/document/9164957/

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