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- A Text Classification Model Based on GCN and BiGRU Fusion
Experiments are conducted on a publicly available dataset, and the results demonstrate that the model can effectively improve the performance of text classification
- A Text Classification Model Based On GCN and BiGRU Fusion
A Text Classification Model Based on GCN and BiGRU Fusion - Free download as PDF File ( pdf), Text File ( txt) or read online for free This document proposes a text classification model that fuses a graph convolutional neural network (GCN) and bidirectional gated recurrent unit (BiGRU)
- Text classification model based on CNN and BiGRU fusion attention mechanism
Through the fusion of models, the accuracy of text classification is improved
- arXiv:1809. 05679v3 [cs. CL] 13 Nov 2018
PTE: predictive text embedding (Tang, Qu, and Mei 2015), which firstly learns word embedding based on het-erogeneous text network containing words, documents and labels as nodes, then averages word embeddings as document embeddings for text classification
- EAI Transactions EAI Endo - pdfs. semanticscholar. org
neural network The Eficient CNN and Bi-GRU Fusion Multi Attention Mechanism is a method that integrates convolutional neural networks (CNNs) and bidirectional Gated Recurrent Units (Bi-GRUs) with multi-attention mechanisms in order to enhance the eficacy of word embedding for the purpose of tex
- Proceedings of the 8th International Conference on Computing and . . .
A text classification model with the fusion of graph convolutional neural network (GCN) and bi-directional gated recurrent unit (BiGRU) is designed to address the lack of ability of simple neural networks to capture the contextual semantics of text,
- The Study on the Text Classification Based on Graph Convolutional . . .
Recently, Graph Convolutional Neural Network (GCN) is widely used in text classification tasks And it has been effectively used to accomplish tasks that are thought to have a rich relational structure
- A hybrid re-fusion model for text classification - Nature
Text classification is an important task in the field of natural language processing, aiming to automatically assign text data to predefined categories The BertGCN model combines the
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