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InfoResearchPeer-reviewed
OwnerHunter: Multilingual Website Owner Identification Powered by Large Language Model
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Summary
OwnerHunter is a multilingual framework that uses large language models to identify the owner of a website, treating it as a document-level information extraction task rather than sentence-by-sentence named entity recognition. The authors evaluate it on the refined English ONER dataset and a new Chinese dataset, WOI-cn, containing 16,036 real websites. It reports F1 scores of 0.9505 on ONER and 0.9621 on WOI-cn, which it describes as new state-of-the-art results.