Adaptive Hierarchical Text Classification Using ERNIE and Dynamic Threshold Pruning
Hierarchical Text Classification (HTC) is a challenging task where labels are structured in a tree or Directed Acyclic Graph (DAG) format. Current approaches often struggle with data imbalance and fail to fully capture rich semantic information. This paper proposes an Adaptive Hierarchical Text Clas...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10807255/ |
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