DELICATE: Diachronic Entity LInking using Classes And Temporal Evidence
Researchers have developed DELICATE, a novel neuro-symbolic method for entity linking in historical Italian texts. This approach combines a BERT-based encoder with contextual information from Wikidata, leveraging temporal plausibility and entity type consistency to identify entities. The project also introduced ENEIDE, a new corpus for historical Italian entity linking extracted from 19th and 20th-century literary and political texts. DELICATE demonstrated superior performance compared to larger models, offering more explainable results than purely neural methods. AI
IMPACT Introduces a novel method for entity linking that improves accuracy and explainability in historical texts.