@inproceedings{wei-king-2023-stfx,
    title = "{S}t{FX} {NLP} at {S}em{E}val-2023 Task 1: Multimodal Encoding-based Methods for Visual Word Sense Disambiguation",
    author = "Wei, Yuchen  and
      King, Milton",
    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-1.55",
    doi = "10.18653/v1/2023.semeval-1.55",
    pages = "409--414",
    abstract = "SemEval-2023{'}s Task 1, Visual Word Sense Disambiguation, a task about text semantics and visual semantics, selecting an image from a list of candidates, that best exhibits a given target word in a small context. We tried several methods, including the image captioning method and CLIP methods, and submitted our predictions in the competition for this task. This paper describes the methods we used and their performance and provides an analysis and discussion of the performance.",
}

SemEval-2023{'}s Task 1, Visual Word Sense Disambiguation, a task about text semantics and visual semantics, selecting an image from a list of candidates, that best exhibits a given target word in a small context. We tried several methods, including the image captioning method and CLIP methods, and submitted our predictions in the competition for this task. This paper describes the methods we used and their performance and provides an analysis and discussion of the performance.
Wei, Yuchen King, Milton
StFX NLP at SemEval-2023 Task 1: Multimodal Encoding-based Methods for Visual Word Sense Disambiguation