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            <title>Proceedings of the 20th International Workshop on Semantic Evaluation (2026)</title>
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    <abstract>Aspect-Based Sentiment Analysis (ABSA) hasevolved to capture continuous affective states,posing challenges for traditional classificationmodels. We adopt a hybrid approach tailoredto the varying complexities of the subtasks. ForTask 1 (Valence-Arousal Regression), we em-ploy a discriminative architecture using pre-trained DeBERTa encoder with a MeanPool-ing mechanism to directly regress continuoussentiment scores. For Tasks 2 and 3, which re-quire complex structural extraction of opiniontriplets and quadruplets, we utilize a generativeapproach by fine-tuning the Qwen3-4B-Instructlarge language model via 4-bit QLoRA. Oursystem effectively handles both precise numer-ical regression and complex structural text gen-eration, achieving competitive results acrossthe English laptop and restaurant domains.</abstract>
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%0 Conference Proceedings
%T looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning
%A Yang, Liu
%A Hu, Gang
%A Li, Jing
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F yang-etal-2026-looploop
%X Aspect-Based Sentiment Analysis (ABSA) hasevolved to capture continuous affective states,posing challenges for traditional classificationmodels. We adopt a hybrid approach tailoredto the varying complexities of the subtasks. ForTask 1 (Valence-Arousal Regression), we em-ploy a discriminative architecture using pre-trained DeBERTa encoder with a MeanPool-ing mechanism to directly regress continuoussentiment scores. For Tasks 2 and 3, which re-quire complex structural extraction of opiniontriplets and quadruplets, we utilize a generativeapproach by fine-tuning the Qwen3-4B-Instructlarge language model via 4-bit QLoRA. Oursystem effectively handles both precise numer-ical regression and complex structural text gen-eration, achieving competitive results acrossthe English laptop and restaurant domains.
%U https://aclanthology.org/2026.semeval-1.196/
%P 1511-1517

Markdown (Informal)

[looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning](https://aclanthology.org/2026.semeval-1.196/) (Yang et al., SemEval 2026)

• looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning (Yang et al., SemEval 2026)

ACL

• Liu Yang, Gang Hu, and Jing Li. 2026. looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning. In Proceedings of the 20th International Workshop on Semantic Evaluation (2026), pages 1511–1517, San Diego, California, USA. Association for Computational Linguistics.