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        <title>Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval</title>
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        <namePart type="given">Amirmohammad</namePart>
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            <title>Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)</title>
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    <abstract>This paper describes our system for SemEval 2025 Task 7: Previously Fact-Checked Claim Retrieval. The task requires retrieving relevant fact-checks for a given input claim from the extensive, multilingual MultiClaim dataset, which comprises social media posts and fact-checks in several languages. To address this challenge, we first evaluated zero-shot performance using state-of-the-art English and multilingual retrieval models and then fine-tuned the most promising systems, leveraging machine translation to enhance crosslingual retrieval. Our best model achieved an accuracy of 85% on crosslingual data and 92% on monolingual data.</abstract>
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%0 Conference Proceedings
%T Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
%A Azadi, Amirmohammad
%A Zamani, Sina
%A Rostamkhani, Mohammadmostafa
%A Eetemadi, Sauleh
%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 azadi-etal-2025-word2winners
%X This paper describes our system for SemEval 2025 Task 7: Previously Fact-Checked Claim Retrieval. The task requires retrieving relevant fact-checks for a given input claim from the extensive, multilingual MultiClaim dataset, which comprises social media posts and fact-checks in several languages. To address this challenge, we first evaluated zero-shot performance using state-of-the-art English and multilingual retrieval models and then fine-tuned the most promising systems, leveraging machine translation to enhance crosslingual retrieval. Our best model achieved an accuracy of 85% on crosslingual data and 92% on monolingual data.
%U https://aclanthology.org/2025.semeval-1.182/
%P 1370-1376

Markdown (Informal)

[Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval](https://aclanthology.org/2025.semeval-1.182/) (Azadi et al., SemEval 2025)

• Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval (Azadi et al., SemEval 2025)

ACL

• Amirmohammad Azadi, Sina Zamani, Mohammadmostafa Rostamkhani, and Sauleh Eetemadi. 2025. Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 1370–1376, Vienna, Austria. Association for Computational Linguistics.