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2025 SemEval SemEval 2025

Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT

AbstractIn this paper, we propose a BERT-based hierarchical text classification framework to address the challenges of training multi-level classification tasks. As part of the SemEval-2025 Task 10 challenge (Subtask 2), the framework performs fine-grained text classification by training dedicated sub-category classifiers for each top-level category. Experimental results demonstrate the feasibility of the proposed approach in multi-class text classification tasks.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

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