Label Confusion Learning to Enhance Text Classification Models

Representing a true label as a one-hot vector is a common practice in training text classification models. However, the one-hot representation may not adequately reflect the relation between the instances and labels, as labels are often not completely independent and instances may relate to multiple...

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Hauptverfasser:	Guo, Biyang, Han, Songqiao, Han, Xiao, Huang, Hailiang, Lu, Ting
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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