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2026 SemEval SemEval 2026

Team VYN at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis

Abstract

AbstractThis paper describes our system for the DimABSA 2026 Shared Task (SemEval-2026 Task 3), Track A, covering all three subtasks. We develop two complementary approaches: (1) DESS (Thenuwara and de Silva, 2025), an adaptation of our span-based extraction model incorporating dual-channel GCNs and a valence–arousal (VA) regression head.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Vishal Thenuwara, Widanalage De Mel, Nisansa de Silva

Topics

Deep Learning > Architectures > Graph Neural Networks Natural Language Processing > Applications > Sentiment Analysis Deep Learning > Learning Types > Regression

Keywords

span-based extraction dimensional aspect-based sentiment analysis valence-arousal regression dual-channel graph convolutional network
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