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Cross-Lingual Cross-Domain Transfer Learning for Rumor Detection

This study introduces a novel method that merges propagation-based transfer learning with word embeddings for rumor detection. This approach aims to use data from languages with abundant resources to enhance performance in languages with limited availability of annotated corpora in this task. Furthe...

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Autori principali: Eliana Providel, Marcelo Mendoza, Mauricio Solar
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-06-01
Serie:Future Internet
Soggetti:
misinformation
rumors
cross-domain models
cross-lingual models
multi-task learning
Accesso online:https://www.mdpi.com/1999-5903/17/7/287
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