Document-level event extraction from Italian crime news using minimal data

Giovanni Bonisoli, David Vilares, Federica Rollo, Laura Po

Abstract: Highlights•Novel use of LLMs for event extraction from Italian news with minimal annotated data.•In-context learning outperforms zero-shot prompting for identifying event spans.•Mixtral achieves top performance in event extraction from Italian crime news.•LLMs outperform QA models, proving robust in data-scarce environments.•In-context learning performance depends on the quality of selected examples.