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Part 1: Document Description
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Citation |
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Title: |
A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation study |
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Identification Number: |
doi:10.7910/DVN/M5PRZB |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2026-02-04 |
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Version: |
2 |
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Bibliographic Citation: |
Kang, 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, V2 |
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Citation |
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Title: |
A two-stage registry-anchored approach for precision improvement in organization name recognition from PubMed affiliation strings: a validation study |
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Identification Number: |
doi:10.7910/DVN/M5PRZB |
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Authoring Entity: |
Kang, Inmo (Graduate School of Management of Technology, Sogang Univeristy, Seoul, Korea) |
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Park, Joonmo (Graduate School of Management of Technology, Sogang Univeristy, Seoul, Korea) |
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Jeong, Heesoo (Graduate School of Management of Technology, Sogang Univeristy, Seoul, Korea) |
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Chung, Seyoung (Graduate School of Management of Technology, Sogang Univeristy, Seoul, Korea) |
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Jeon, Changmin (Graduate School of Management of Technology, Sogang Univeristy, Seoul, Korea) |
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Moon, Seongwuk (Graduate School of Management of Technology, Sogang Univeristy, Seoul, Korea) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Moon, Seongwuk |
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Depositor: |
(KCSE), Korean Councils of Science Editors |
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Date of Deposit: |
2026-02-04 |
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Holdings Information: |
https://doi.org/10.7910/DVN/M5PRZB |
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Study Scope |
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Keywords: |
Social Sciences |
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Abstract: |
Dataset 1. The dataset analyzed during the current study. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Label: |
20251220_SciEdit_ROR corpus_Submit.json |
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Notes: |
application/json |
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Dataset 1. The dataset analyzed during the current study..csv |
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Notes: |
text/comma-separated-values |
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geo_data.json |
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Notes: |
application/json |
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Suppl. 1. Methods for constructing the ROR corpus, PubMed sample, and gold standard..pdf |
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Notes: |
application/pdf |
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Suppl. 2. Model implementation details..pdf |
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Notes: |
application/pdf |
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Suppl. 3. Evaluation metrics and baseline implementation..pdf |
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Notes: |
application/pdf |