@inproceedings{chatterjee-etal-2024-whatdoyoumeme,
title = "whatdoyoumeme at {S}em{E}val-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts",
author = "Chatterjee, Nishan and
Pranjic, Marko and
Koloski, Boshko and
Pivovarova, Lidia and
Pollak, Senja",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Tayyar Madabushi, Harish and
Da San Martino, Giovanni and
Rosenthal, Sara and
Ros{\'a}, Aiala},
booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.semeval-1.220/",
doi = "10.18653/v1/2024.semeval-1.220",
pages = "1537--1543",
abstract = "In this paper, we detail the methodology of team whatdoyoumeme for the SemEval 2024 Task on Multilingual Persuasion Detection in Memes. We integrate hierarchical label information to refine detection capabilities, and employ a cross-lingual approach, utilizing translation to adapt the model to Macedonian, Arabic, and Bulgarian. Our methodology encompasses both the analysis of meme content and extending labels to include hierarchical structure. The effectiveness of the approach is demonstrated through improved model performance in multilingual contexts, highlighting the utility of translation-based methods and hierarchy-aware learning, over traditional baselines."
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%0 Conference Proceedings
%T whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts
%A Chatterjee, Nishan
%A Pranjic, Marko
%A Koloski, Boshko
%A Pivovarova, Lidia
%A Pollak, Senja
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Tayyar Madabushi, Harish
%Y Da San Martino, Giovanni
%Y Rosenthal, Sara
%Y Rosá, Aiala
%S Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F chatterjee-etal-2024-whatdoyoumeme
%X In this paper, we detail the methodology of team whatdoyoumeme for the SemEval 2024 Task on Multilingual Persuasion Detection in Memes. We integrate hierarchical label information to refine detection capabilities, and employ a cross-lingual approach, utilizing translation to adapt the model to Macedonian, Arabic, and Bulgarian. Our methodology encompasses both the analysis of meme content and extending labels to include hierarchical structure. The effectiveness of the approach is demonstrated through improved model performance in multilingual contexts, highlighting the utility of translation-based methods and hierarchy-aware learning, over traditional baselines.
%R 10.18653/v1/2024.semeval-1.220
%U https://aclanthology.org/2024.semeval-1.220/
%U https://doi.org/10.18653/v1/2024.semeval-1.220
%P 1537-1543
Markdown (Informal)
[whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts](https://aclanthology.org/2024.semeval-1.220/) (Chatterjee et al., SemEval 2024)
ACL