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        <title>Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection</title>
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    <abstract>This paper presents a novel text-based emotion detection approach for low-resource languages in SemEval-2025 Task 11. We fine-tuned Google Gemma 2 using tailored data augmentation and Chain-of-Thought prompting. Our method, incorporating supervised fine-tuning and model ensembling, significantly improved multi-label emotion recognition, intensity prediction, and cross-lingual performance. Results show strong performance in diverse low-resource settings. Challenges remain in fine-grained sentiment analysis. Future work will explore advanced data augmentation and knowledge transfer methods. This research demonstrates the potential of large language models for inclusive emotion analysis.</abstract>
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%0 Conference Proceedings
%T Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection
%A Shenpo, Dong
%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 shenpo-2025-deep
%X This paper presents a novel text-based emotion detection approach for low-resource languages in SemEval-2025 Task 11. We fine-tuned Google Gemma 2 using tailored data augmentation and Chain-of-Thought prompting. Our method, incorporating supervised fine-tuning and model ensembling, significantly improved multi-label emotion recognition, intensity prediction, and cross-lingual performance. Results show strong performance in diverse low-resource settings. Challenges remain in fine-grained sentiment analysis. Future work will explore advanced data augmentation and knowledge transfer methods. This research demonstrates the potential of large language models for inclusive emotion analysis.
%U https://aclanthology.org/2025.semeval-1.254/
%P 1957-1963

Markdown (Informal)

[Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection](https://aclanthology.org/2025.semeval-1.254/) (Shenpo, SemEval 2025)

• Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection (Shenpo, SemEval 2025)

ACL

• Dong Shenpo. 2025. Deep at SemEval-2025 Task 11: A Multi-Stage Approach to Emotion Detection. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 1957–1963, Vienna, Austria. Association for Computational Linguistics.