Papers by Rubén Míguez Pérez
MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusters (2025.findings-emnlp)
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| Challenge: | a growing number of unverified claims and expanding size of fact-checked databases require alternative, more efficient solutions. |
| Approach: | They propose to group fact-checked claims into multilingual clusters to improve claim retrieval and validation. |
| Outcome: | The proposed approach reduces redundancy by grouping claims into clusters . the proposed dataset contains 85.3K fact-checked claims written in 78 languages . |