Record link: 
http://hdl.handle.net/20.500.12708/230817
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Title: 
ipezoTU at SemEval-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-Checking
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Citation: 
Pezo, I., Hanbury, A., & Staudinger, M. (2025). ipezoTU at SemEval-2025 Task 7: Hybrid Ensemble Retrieval for Multilingual Fact-Checking. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025) (pp. 1159–1167).
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Pezo, Iva 
Hanbury, Allan 
Staudinger, Moritz 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Published in: 
Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025) 
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Date (published): 
2025
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Event name: 
19th International Workshop on Semantic Evaluation (SemEval-2025) 
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Event date: 
31-Jul-2025 - 1-Aug-2025
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Event place: 
Austria
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Number of Pages: 
9
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Peer reviewed: 
Yes
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Keywords: 
Multilingual; Fact-checking; lexical retrieval models; semantic retrieval models; reranking; hybrid retrieval; misinformation; evaluation; ensemble learning; social media; verification; scalability; data preprocessing; contextual enrichment; SemEval 2025 Task 7; accuracy; efficiency; zero-shot retrieval; BM25; language models
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Research Areas: 
Information Systems Engineering: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
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