@inproceedings{wang-etal-2025-team-insantive,
title = "Team {INSA}ntive at {S}em{E}val-2025 Task 10: Hierarchical Text Classification using {BERT}",
author = "Wang, Yutong and
Nurbakova, Diana and
Calabretto, Sylvie",
editor = "Rosenthal, Sara and
Ros{\'a}, Aiala and
Ghosh, Debanjan and
Zampieri, Marcos",
booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.semeval-1.130/",
pages = "981--988",
ISBN = "979-8-89176-273-2",
abstract = "In 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."
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%0 Conference Proceedings
%T Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT
%A Wang, Yutong
%A Nurbakova, Diana
%A Calabretto, Sylvie
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F wang-etal-2025-team-insantive
%X In 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.
%U https://aclanthology.org/2025.semeval-1.130/
%P 981-988
Markdown (Informal)
[Team INSAntive at SemEval-2025 Task 10: Hierarchical Text Classification using BERT](https://aclanthology.org/2025.semeval-1.130/) (Wang et al., SemEval 2025)
ACL