The task is formulated as an information retrieval task. Given social media posts, the goal is to retrieve the most relevant claims from a list of claims that are previously fact-checked. In the monolingual track, posts and claims are in the same language.
Publication
Aquí tienes la referencia corregida:
Qiwei Peng, Robert Moro, Michal Gregor, Ivan Srba, Simon Ostermann, Marian Simko, Juraj Podrouzek, Matúš Mesarčík, Jaroslav Kopčan, and Anders Søgaard. 2025. SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. In *Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*, pages 2498–2511, Vienna, Austria. Association for Computational Linguistics.
Qiwei Peng, Robert Moro, Michal Gregor, Ivan Srba, Simon Ostermann, Marian Simko, Juraj Podrouzek, Matúš Mesarčík, Jaroslav Kopčan, and Anders Søgaard. 2025. SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. In *Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*, pages 2498–2511, Vienna, Austria. Association for Computational Linguistics.
Language
Spanish
English
URL Task
NLP topic
Dataset
Year
2025
Publication link
Ranking metric
success@10
Task results
| System | Success@10 Sort ascending |
|---|---|
| PINGAN AI | 0.97 |
| PALI | 0.97 |
| TIFIN India | 0.96 |
| RACAI | 0.95 |
| QUST_NLP | 0.95 |
