Die Studie untersucht die Wirksamkeit von Cross-Lingual Transfer Learning für Fact-Checking in der Türkei.
提供十分かつ関連性のある証拠は、ファクトチェックシステムのパフォーマンス向上に貢献する可能性があります。
Optimized evidence enhances fact-checking systems by providing relevant and sufficient information, as demonstrated in the RU22Fact dataset.
The author explores the effectiveness of cross-lingual transfer learning for fact-checking in low-resource languages, focusing on Turkish, to address the scarcity of datasets and advance research in non-English languages.