Neighborhood-Aware Dual Biomedical Entity Linking
Biomedical entity linking grounds mentions in clinical and scientific text to entities in a curated knowledge base (KB) with ontological structure, which supports downstream applications such as literature-scale information extraction and patient-record normalization. The task has several challenges at once: the KB contains large numbers of entities, mentions are often ambiguous, and gold labels follow annotation conventions specific to each corpus. To address these challenges, we propose PILOT, a three-stage framework made up of neighborhood-aware retrieval, dual reranking, and score fusion. The retriever injects ontological structure from both the query and KB side, by reformulating men...
| Authors | Yicheng Tao, Jie Liu |
|---|---|
| Primary category | cs.IR |
| Published | 4 August 2026 |
| Last updated at source | 4 August 2026 |
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