This task addresses the growing need to extract verified claims from the informal language found on social media. Unlike standard fact-checking pipelines that rely on well-formed input, our task aims to rewrite user-generated content—often imprecise, opinionated, or fragmented—into clear, concise, and factual statements, in the way human fact-checkers formulate the claims they verify. The monolingual track covered thirteen languages, including English, German, French, Spanish, Portuguese, Hindi, Marathi, Punjabi, Tamil, Arabic, Thai, Indonesian, and Polish.
Mejores resultados para la tarea
| Sistema | METEOR Ordenar ascendente |
|---|---|
| DS@GT | 0.61 |
| dfkinit2b | 0.55 |
| AKCIT-FN | 0.52 |
| MMA | 0.51 |
| aryasuneesh | 0.39 |

