A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation studydoi:10.7910/DVN/M5PRZBHarvard Dataverse2026-02-042Kang, Inmo; Park, Joonmo; Jeong, Heesoo; Chung, Seyoung; Jeon, Changmin; Moon, Seongwuk, 2026, "A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation study", https://doi.org/10.7910/DVN/M5PRZB, Harvard Dataverse, V2A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation studydoi:10.7910/DVN/M5PRZBKang, InmoPark, JoonmoJeong, HeesooChung, SeyoungJeon, ChangminMoon, SeongwukHarvard DataverseMoon, Seongwuk(KCSE), Korean Councils of Science Editors2026-02-04Social SciencesDataset 1. The dataset analyzed during the current study.<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>20251220_SciEdit_ROR corpus_Submit.jsonapplication/jsonDataset 1. The dataset analyzed during the current study..csvtext/comma-separated-valuesgeo_data.jsonapplication/jsonSuppl. 1. Methods for constructing the ROR corpus, PubMed sample, and gold standard..pdfapplication/pdfSuppl. 2. Model implementation details..pdfapplication/pdfSuppl. 3. Evaluation metrics and baseline implementation..pdfapplication/pdf