@inproceedings{badran-etal-2025-alexunlp,
    title = "{A}lex{UNLP}-{NB} at {S}em{E}val-2025 Task 1: A Pipeline for Idiom Disambiguation and Visual Representation",
    author = "Badran, Mohamed  and
      Nawar, Youssof  and
      El - Makky, Nagwa",
    editor = "Rosenthal, Sara  and
      Ros{\'a}, Aiala  and
      Ghosh, Debanjan  and
      Zampieri, Marcos",
    booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2025-08/2025.semeval-1.76/",
    pages = "546--550",
    ISBN = "979-8-89176-273-2",
    abstract = "This paper describes our system developed for SemEval-2025 Task 1, subtask A. This sharedsubtask focuses on multilingual idiom recognition and the ranking of images based on howwell they represent the sense in which a nominal compound is used within a given contextual sentence. This study explores the use of a pipeline, where task-specific models are sequentially employed to address each problem step by step. The process involves three key steps: first, identifying whether idioms are in their literal or figurative form; second, transforming them if necessary; and finally, usingthe final form to rank the input images."
}