SPIRIT: Structural Entropy Guided Prefix Tuning for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging task that requires classifiers to solve a series of multi-label subtasks considering hierarchical dependencies among labels. Recent studies have introduced prompt tuning to create closer connections between the language model (LM) and the compl...
| Autors principals: | , , , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
MDPI AG
2025-01-01
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| Col·lecció: | Entropy |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1099-4300/27/2/128 |