Hierarchical text classification is a crucial task in natural language processing. TELEClass proposes a method that enriches the label taxonomy with class-indicative terms mined from the corpus to improve classifier training. By leveraging large language models (LLMs) for data annotation and tailored creation, TELEClass outperforms previous weakly-supervised methods on public datasets.
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by Yunyi Zhang,... kl. arxiv.org 03-04-2024
https://arxiv.org/pdf/2403.00165.pdfDybere Forespørgsler