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        <title>Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.</title>
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    <abstract>Our approach for the SemEval-2025 Task 9: Subtask 1, The Food Hazard Detection Challenge showcases a robust ensemble learning methodology designed to classify food hazards and associated products from incident report titles. By incorporating advanced data augmentation techniques, we significantly enhanced model generalization and addressed class imbalance through the application of focal loss. This strategic combination led to our team securing the Top 1 position, achieving an impressive score of 0.8223, underscoring the strength of our solution in improving classification performance for food safety risk assessment.</abstract>
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%0 Conference Proceedings
%T Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.
%A Le, Tung Thanh
%A Ngo, Tri Minh
%A Dang, Trung Hieu
%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 le-etal-2025-anastasia
%X Our approach for the SemEval-2025 Task 9: Subtask 1, The Food Hazard Detection Challenge showcases a robust ensemble learning methodology designed to classify food hazards and associated products from incident report titles. By incorporating advanced data augmentation techniques, we significantly enhanced model generalization and addressed class imbalance through the application of focal loss. This strategic combination led to our team securing the Top 1 position, achieving an impressive score of 0.8223, underscoring the strength of our solution in improving classification performance for food safety risk assessment.
%U https://aclanthology.org/2025.semeval-1.20/
%P 141-147

Markdown (Informal)

[Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.](https://aclanthology.org/2025.semeval-1.20/) (Le et al., SemEval 2025)

• Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification. (Le et al., SemEval 2025)

ACL

• Tung Thanh Le, Tri Minh Ngo, and Trung Hieu Dang. 2025. Anastasia at SemEval-2025 Task 9: Subtask 1, Ensemble Learning with Data Augmentation and Focal Loss for Food Risk Classification.. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 141–147, Vienna, Austria. Association for Computational Linguistics.