MLGN:A Multi-Label Guided Network for Improving Text Classification

Within natural language processing, multi-label classification is an important but challenging task. It is more complex than single-label classification since the document representations need to cover fine-grained label information, while the labels predicted by the model are often related. Recentl...

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Bibliografiska uppgifter

Huvudupphov:	Qiang Liu, Jingzhe Chen, Fan Chen, Kejie Fang, Peng An, Yiming Zhang, Shiyu Du
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2023-01-01
Serie:	IEEE Access
Ämnen:	Multi-label text classification document representation label semantics contrastive learning label correlation
Länkar:	https://ieeexplore.ieee.org/document/10196383/
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