New neuro-symbolic method enhances entity linking in historical texts

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.

RANK_REASON The cluster contains an academic paper detailing a new method and dataset for entity linking. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

• BERT
• Cristian Santini
• DELICATE
• Wikidata

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →