All is attention for multi-label text classification

Multi-label text classification(MLTC) is a key task in natural language processing. Its challenge is to extract latent semantic features from text and effectively exploit label-associated features. This work proposes an MLTC model driven solely by attention mechanisms, which includes Graph Attention...

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Veröffentlicht in:	Knowledge and information systems 2025-02, Vol.67 (2), p.1249-1270
Hauptverfasser:	Liu, Zhi, Huang, Yunjie, Xia, Xincheng, Zhang, Yihao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Attention Classification Feature extraction Labels Modules Natural language processing Semantics Task complexity Text categorization
Online-Zugang:	Volltext
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