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.
View on arXiv@article{azadi2025_2503.09011,
title={ Word2winners at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval },
author={ Amirmohammad Azadi and Sina Zamani and Mohammadmostafa Rostamkhani and Sauleh Eetemadi },
journal={arXiv preprint arXiv:2503.09011},
year={ 2025 }
}