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

• URL: http://arxiv.org/abs/2503.09011v1
• Date: Wed, 12 Mar 2025 02:59:41 GMT
• Title: Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval
• Authors: Amirmohammad Azadi, Sina Zamani, Mohammadmostafa Rostamkhani, Sauleh Eetemadi,
• Abstract summary: This paper describes our system for SemEval 2025 Task 7: Previously Fact-Checked Claim Retrieval.<n>The task requires retrieving relevant fact-checks for a given input claim from the extensive, multilingual MultiClaim dataset.<n>Our best model achieved an accuracy of 85% on crosslingual data and 92% on monolingual data.
• Score: 0.7874708385247352
• License: http://creativecommons.org/licenses/by/4.0/
• 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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