DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG

In the rapidly evolving landscape of language, resolving new linguistic expressions in continuously updating knowledge bases remains a formidable challenge. This challenge becomes critical in retrieval-augmented generation (RAG) with knowledge bases, as emerging expressions hinder the retrieval of relevant documents, leading to generator hallucinations. We introduce a novel task aimed at resolving emerging mentions to dynamic entities and present DynamicER benchmark, including dynamic entity mention resolution and entity-centric knowledge-intensive QA task. We propose a temporal segmented clustering method with continual adaptation, effectively managing the temporal dynamics of evolving entities and emerging mentions.

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Recommended citation: Jinyoung Kim, Dayoon Ko, Gunhee Kim. (2024). "DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG." EMNLP 2024.
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