LELA: An End-to-end LLM-based Entity Linking Framework with Zero-shot Domain Adaptation
Researchers have extended LELA, an LLM-based entity linking framework, into a practical Python library that combines zero-shot Named Entity Recognition with entity disambiguation. The end-to-end pipeline addresses limitations in existing approaches by offering domain-agnostic capabilities and demonstrating robust performance across diverse entity linking tasks, making it more applicable to real-world usage scenarios.