@inproceedings{ghahroodi-etal-2023-sut,
    title = "{SUT} at {S}em{E}val-2023 Task 1: Prompt Generation for Visual Word Sense Disambiguation",
    author = "Ghahroodi, Omid  and
      Dalili, Seyed Arshan  and
      Mesforoush, Sahel  and
      Asgari, Ehsaneddin",
    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://preview.aclanthology.org/jlcl-multiple-ingestion/2023.semeval-1.298/",
    doi = "10.18653/v1/2023.semeval-1.298",
    pages = "2160--2163",
    abstract = "Visual Word Sense Disambiguation (V-WSD) identifies the correct visual sense of a multi-sense word in a specific context. This can be challenging as images may need to provide additional context and words may have multiple senses. A proper V-WSD system can benefit applications like image retrieval and captioning. This paper proposes a Prompt Generation approach to solve this challenge. This approach improves the robustness of language-image models like CLIP to contextual ambiguities and helps them better correlate between textual and visual contexts of different senses of words."
}