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thông tin chi tiết - Hierarchical Text Classification
Evaluating Hierarchical Text Classification: Challenges in Inference and Metrics
Hierarchical text classification (HTC) requires careful evaluation of model performance using specifically designed hierarchical metrics and inference methods, which are often overlooked in recent literature.
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
Hierarchical text classification with minimal supervision using taxonomy enrichment and LLM enhancement.
Hierarchical Text Classification with Adversarial Training
提案された階層的テキスト分類のアドバーサリートレーニングフレームワーク（HiAdv）は、複雑な階層構造に対処する能力があり、既存のHTCモデルを補助します。
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision
TELEClass proposes a method for minimally supervised hierarchical text classification, enhancing label taxonomy with class-indicative terms and leveraging LLMs tailored for the hierarchical label structure.
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