WebSep 17, 2024 · Hierarchical Text Classification (HTC), which aims to predict text labels organized in hierarchical space, is a significant task lacking in investigation in natural language processing.Existing methods usually encode the entire hierarchical structure and fail to construct a robust label-dependent model, making it hard to make accurate … WebJan 1, 2024 · In this paper, we propose a L abel-based A ttention for H ierarchical Multi-label Text C lassification Neural N etwork ( LA-HCN), where the novel label-based attention …
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Webquence generation to incorporate hierarchy information into a target label sequence instead of the model structure. Subse-quently, we propose the Hierarchy DECoder (HiDEC), which decodes a text sequence into a sub-hierarchy sequence using recursive hierarchy decoding, classifying all parents at the same level into children at once. WebHierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy. Existing methods encode text and label hierarchy separately and mix their representations for classification, where the hierarchy remains unchanged for all input text. Instead of modeling them separately, in this work, we propose Hierarchy … small gas powered winch
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WebMar 8, 2024 · Hierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy. Existing methods encode text and label hierarchy separately and mix their representations for classification, where the hierarchy remains unchanged for all input text. WebIncorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification . Hierarchical text classification is a challenging subtask of multi-label … WebMar 9, 2024 · The Hierarchy-guided Contrastive Learning (HGCLR) directly embeds the hierarchy into a text encoder. In [ 25 ], authors propose a contrastive learning method to … song stranger things