@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://aclanthology.org/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."
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%0 Conference Proceedings
%T AlexUNLP-NB at SemEval-2025 Task 1: A Pipeline for Idiom Disambiguation and Visual Representation
%A Badran, Mohamed
%A Nawar, Youssof
%A El - Makky, Nagwa
%Y Rosenthal, Sara
%Y Rosá, Aiala
%Y Ghosh, Debanjan
%Y Zampieri, Marcos
%S Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-273-2
%F badran-etal-2025-alexunlp
%X 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.
%U https://aclanthology.org/2025.semeval-1.76/
%P 546-550
Markdown (Informal)
[AlexUNLP-NB at SemEval-2025 Task 1: A Pipeline for Idiom Disambiguation and Visual Representation](https://aclanthology.org/2025.semeval-1.76/) (Badran et al., SemEval 2025)
ACL