This paper outlines a methodology for Knowledge Extraction from historical literary texts in Italian using a combination of Large Language Models and fine-tuned models for Relation Extraction. The research aims to offer a novel way to extract and represent entities and relations from literary manuscripts in RDF graphs which can be queried and explored.
Leveraging Large Language Models to Generate a Knowledge Graph from Italian Literary Texts
Cristian Santini;Gioele Marozzi;Laura Melosi;Emanuele Frontoni
2024-01-01
Abstract
This paper outlines a methodology for Knowledge Extraction from historical literary texts in Italian using a combination of Large Language Models and fine-tuned models for Relation Extraction. The research aims to offer a novel way to extract and represent entities and relations from literary manuscripts in RDF graphs which can be queried and explored.File in questo prodotto:
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