Entity-aware Cross-lingual Claim Detection for Automated Fact-checking (2026.findings-eacl)
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| Challenge: | Existing work on verifiable claims detection is focused on monolingual solutions . identifying and validating claims related to global concerns requires a fact-checking pipeline capable of processing claims written in multiple languages. |
| Approach: | They propose an entity-aware cross-lingual claim detection model that generalizes well to handle multilingual claims. |
| Outcome: | The proposed model shows consistent performance gains across 27 languages and robust knowledge transfer between languages seen and unseen during training. |
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