Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification

Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification

Traditional methods of multi-label text classification, particularly deep learning, have achieved remarkable results. However, most of these methods use word2vec technology to represent sequential text information, while ignoring the logic and internal hierarchy of the text itself. Although these ap...

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Bibliographic Details
Main Authors: Jibing Gong, Zhiyong Teng, Qi Teng, Hekai Zhang, Linfeng Du, Shuai Chen, Md Zakirul Alam Bhuiyan, Jianhua Li, Mingsheng Liu, Hongyuan Ma
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-label text classification
graph modeling
graph transformer
deep learning
Online Access:https://ieeexplore.ieee.org/document/8988213/

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