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arXiv · 2503.09011

Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval

Amirmohammad Azadi·Sina Zamani·Mohammadmostafa Rostamkhani·Sauleh Eetemadi
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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.

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Amirmohammad Azadi, Sina Zamani, Mohammadmostafa Rostamkhani, Sauleh Eetemadi. 2025-03-12. Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. https://arxiv.org/abs/2503.09011

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