HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification

1 code implementation • 26 Mar 2024 • He Zhu, Junran Wu, Ruomei Liu, Yue Hou, Ze Yuan, Shangzhe Li, YiCheng Pan, Ke Xu

Existing self-supervised methods in natural language processing (NLP), especially hierarchical text classification (HTC), mainly focus on self-supervised contrastive learning, extremely relying on human-designed augmentation rules to generate contrastive samples, which can potentially corrupt or distort the original information.

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