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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Main Authors: | Feng, Zijian, Mao, Kezhi, Zhou, Hanzhang |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/175778 |
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Institution: | Nanyang Technological University |
Language: | English |
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