Papers with label controllability and text diversity

1 papers
Towards Better Hierarchical Text Classification with Data Generation (2023.findings-acl)

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Challenge: Existing methods to improve hierarchical text classification are expensive and lack high-quality labeled data.
Approach: They propose a hierarchical text classification framework that can achieve both label controllability and text diversity by extracting high-quality hierarchic label information.
Outcome: The proposed method can achieve label controllability and text diversity by extracting high-quality hierarchical label information.

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