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Recent Advances in Hierarchical Multi-label Text Classification: A Survey

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arxiv 2307.16265 v1 pith:SCPZIE4O submitted 2023-07-30 cs.CL cs.AI

Rundong Liu , Wenhan Liang , Weijun Luo , Yuxiang Song , He Zhang , Ruohua Xu , Yunfeng Li , Ming Liu This is my paper · ORCID
classification cs.CLcs.AI
keywords hierarchicaltextclassificationmulti-labellabelsrecentsurveyadvances
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Hierarchical multi-label text classification aims to classify the input text into multiple labels, among which the labels are structured and hierarchical. It is a vital task in many real world applications, e.g. scientific literature archiving. In this paper, we survey the recent progress of hierarchical multi-label text classification, including the open sourced data sets, the main methods, evaluation metrics, learning strategies and the current challenges. A few future research directions are also listed for community to further improve this field.

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