Adaptive micro- and macro-knowledge incorporation for hierarchical text classification

Adaptive micro- and macro-knowledge incorporation for hierarchical text classification

Hierarchical text classification (HTC) aims to classify a text into multiple categories organized in a hierarchical structure. The state-of-the-art HTC methods usually employ graph networks, where label graphs are constructed and label representation is learned to interact with text representations...

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書目詳細資料
Main Authors:	Feng, Zijian, Mao, Kezhi, Zhou, Hanzhang
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2024
主題:	Engineering Hierarchical text classification Knowledge incorporation
在線閱讀:	https://hdl.handle.net/10356/175778
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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