@inproceedings{raganato-etal-2023-semeval,
    title = "{S}em{E}val-2023 Task 1: Visual Word Sense Disambiguation",
    author = "Raganato, Alessandro  and
      Calixto, Iacer  and
      Ushio, Asahi  and
      Camacho-Collados, Jose  and
      Pilehvar, Mohammad Taher",
    editor = {Ojha, Atul Kr.  and
      Do{\u{g}}ru{\"o}z, A. Seza  and
      Da San Martino, Giovanni  and
      Tayyar Madabushi, Harish  and
      Kumar, Ritesh  and
      Sartori, Elisa},
    booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.semeval-1.308",
    doi = "10.18653/v1/2023.semeval-1.308",
    pages = "2227--2234",
    abstract = "This paper presents the Visual Word Sense Disambiguation (Visual-WSD) task. The objective of Visual-WSD is to identify among a set of ten images the one that corresponds to the intended meaning of a given ambiguous word which is accompanied with minimal context. The task provides datasets for three different languages: English, Italian, and Farsi.We received a total of 96 different submissions. Out of these, 40 systems outperformed a strong zero-shot CLIP-based baseline. Participating systems proposed different zero- and few-shot approaches, often involving generative models and data augmentation. More information can be found on the task{'}s website: {\textbackslash}url{https://raganato.github.io/vwsd/}.",
}

This paper presents the Visual Word Sense Disambiguation (Visual-WSD) task. The objective of Visual-WSD is to identify among a set of ten images the one that corresponds to the intended meaning of a given ambiguous word which is accompanied with minimal context. The task provides datasets for three different languages: English, Italian, and Farsi.We received a total of 96 different submissions. Out of these, 40 systems outperformed a strong zero-shot CLIP-based baseline. Participating systems proposed different zero- and few-shot approaches, often involving generative models and data augmentation. More information can be found on the task{'}s website: {\textbackslash}url{https://raganato.github.io/vwsd/}.
Raganato, Aless ro Calixto, Iacer Ushio, Asahi Camacho-Collados, Jose Pilehvar, Mohammad Taher
SemEval-2023 Task 1: Visual Word Sense Disambiguation