Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion

Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion

We propose a novel hierarchical graph-based text classification framework that leverages the power of contextual node embedding and BERT-based dynamic fusion to capture the complex relationships between the nodes in the hierarchical graph and generate a more accurate classification of text. The fram...

Full description

Bibliographic Details
Main Author: Aytuğ Onan
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Text classification
Hierarchical graph
Pre-trained language models
Contextual embedding
Attention mechanism
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157823001647

Internet

http://www.sciencedirect.com/science/article/pii/S1319157823001647

Similar Items