Papers by Cristian Santini

1 papers
It’s All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models (2026.eacl-long)

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Challenge: Existing approaches to EL for historical texts require substantial training data or rely on domain-specific rules that limit scalability.
Approach: They propose an unsupervised ensemble approach combining a Small Language Model and an LLM for historical EL.
Outcome: The proposed approach outperforms state-of-the-art models on four established benchmarks in six European languages from the 19th and 20th centuries.

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