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        <title>Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive Learning</title>
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    <abstract>We present a multilingual fact-checking re-trieval system for the SemEval-2025 task ofmatching social media posts with relevant factchecks. Our approach utilizes a contrastivelearning framework built on the multilingual E5model architecture, fine-tuned on the provideddataset. The system achieves a Success@10score of 0.867 on the official test set, with per-formance variations between languages. Wedemonstrate that input prefixes and language-specific corpus filtering significantly improveretrieval performance. Our analysis reveals in-teresting patterns in cross-lingual transfer, withspecifically strong results on Malaysian andThai languages. We make our code public forfurther research and development.</abstract>
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%0 Conference Proceedings
%T Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive Learning
%A Pérez, Juan
%A Lares, Santiago
%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 perez-lares-2025-shouth
%X We present a multilingual fact-checking re-trieval system for the SemEval-2025 task ofmatching social media posts with relevant factchecks. Our approach utilizes a contrastivelearning framework built on the multilingual E5model architecture, fine-tuned on the provideddataset. The system achieves a Success@10score of 0.867 on the official test set, with per-formance variations between languages. Wedemonstrate that input prefixes and language-specific corpus filtering significantly improveretrieval performance. Our analysis reveals in-teresting patterns in cross-lingual transfer, withspecifically strong results on Malaysian andThai languages. We make our code public forfurther research and development.
%U https://aclanthology.org/2025.semeval-1.295/
%P 2265-2269

Markdown (Informal)

[Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive Learning](https://aclanthology.org/2025.semeval-1.295/) (Pérez & Lares, SemEval 2025)

• Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive Learning (Pérez & Lares, SemEval 2025)

ACL

• Juan Pérez and Santiago Lares. 2025. Shouth NLP at SemEval-2025 Task 7: Multilingual Fact-Checking Retrieval Using Contrastive Learning. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2265–2269, Vienna, Austria. Association for Computational Linguistics.