A corpus-centric framework diagnoses scale, structure, overlap, metadata, and terminology properties across nine biomedical NER/EL corpora, showing substantial differences that common statistics fail to capture.
(2022) Mondo: Unifying diseases for the world, by the world
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MedHopQA introduces a 1,000-question two-hop biomedical QA benchmark where retrieval-augmented systems reach 89% conceptual accuracy, outperforming zero-shot baselines by over 20 points.
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What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework
A corpus-centric framework diagnoses scale, structure, overlap, metadata, and terminology properties across nine biomedical NER/EL corpora, showing substantial differences that common statistics fail to capture.
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Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering
MedHopQA introduces a 1,000-question two-hop biomedical QA benchmark where retrieval-augmented systems reach 89% conceptual accuracy, outperforming zero-shot baselines by over 20 points.