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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Bibliographic Details
Main Authors: Feng, Zijian, Mao, Kezhi, Zhou, Hanzhang
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Hierarchical text classification
Knowledge incorporation
Online Access:https://hdl.handle.net/10356/175778

Internet

https://hdl.handle.net/10356/175778

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