2025
ACL
ACL 2025
ipezoTU at SemEval-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-Checking
Abstract
AbstractFact-check retrieval plays a crucial role in combating misinformation by ensuring that claims are accurately matched with relevant fact-checks. In this work, we present a hybrid retrieval pipeline that integrates lexical and semantic retrieval models, leveraging their complementary strengths. We evaluate different retrieval and reranking strategies, demonstrating that hybrid ensembling consistently outperforms individual models, while reranking provides only marginal improvements.
🌉
Interdisciplinary Bridge
— Deep Learning and Machine Learning and Natural Language Processing
🧭
Keyword Pioneer
— fact-check retrieval
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio