@inproceedings{thenuwara-etal-2026-team,
    title = "Team {VYN} at {S}em{E}val-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis",
    author = "Thenuwara, Vishal  and
      De Mel, Widanalage  and
      De Silva, Nisansa",
    editor = "Kochmar, Ekaterina  and
      Ghosh, Debanjan  and
      North, Kai  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.semeval-1.223/",
    pages = "1755--1764",
    ISBN = "979-8-89176-414-9",
    abstract = "This 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."
}