A text classification method based on LSTM and graph attention network

A text classification method based on LSTM and graph attention network

Text classification is a popular research topic in the natural language processing. Recently solving text classification problems with graph neural network (GNN) has received increasing attention. However, current graph-based studies ignore the hidden information in text syntax and sequence structur...

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Bibliographic Details
Main Authors:	Haitao Wang, Fangbing Li
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2022-12-01
Series:	Connection Science
Subjects:	text classification lstm graph attention network dependency syntax deep learning
Online Access:	http://dx.doi.org/10.1080/09540091.2022.2128047

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