Entity normalization in a Spanish medical corpus using a UMLS-based lexicon: findings and limitations.
Entity normalization is a common strategy to resolve ambiguities by mapping all the synonym mentions to a single concept identifier in standard terminology. Normalizing medical entities is challenging, especially for languages other than English, where lexical variation is considerably under-represe...
| Publicado en: | Language Resources & Evaluation Vol. 59; no. 2; pp. 1013 - 1042 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Springer Nature
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=185240050&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 185240050 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Jun2025 vid: 59 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 185240050 10.1007/s10579-024-09755-7 ppf: 1013 ppct: 29 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2MB tig: atl: Entity normalization in a Spanish medical corpus using a UMLS-based lexicon: findings and limitations. aug: au: Báez, Pablo Campillos-Llanos, Leonardo Núñez, Fredy Dunstan, Jocelyn affil: https://ror.org/047gc3g35 Center of Medical Informatics and Telemedicine, Faculty of Medicine, University of Chile, Avda. Independencia 1027, 8380453, Santiago, RM, Chile https://ror.org/05y33vv83 Tecnología Médica, Facultad de Medicina, Universidad del Desarrollo, Avda. Plaza 680, 7610658, Las Condes, RM, Chile https://ror.org/02gfc7t72 Instituto de Lengua, Literatura y Antropología (ILLA), CSIC (Spanish National Research Council), Albasanz 26-28, 28037, Madrid, Spain https://ror.org/04teye511 Department of Language Sciences, Pontificia Universidad Católica de Chile, Santiago, RM, Chile https://ror.org/047gc3g35 Center for Mathematical Modeling (CNRS IRL 2807), University of Chile, Santiago, RM, Chile https://ror.org/04teye511 Department of Computer Science & Institute for Mathematical Computing, Pontificia Universidad Católica de Chile, Santiago, RM, Chile Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile su: Variation in language Romance languages Medical referrals Linguistic analysis Spanish language sug: subj: Variation in language Romance languages Medical referrals Linguistic analysis Spanish language keyword: Clinical text Communication and Culture Linguistics Entity linking Language Lexical variation Linguistic resources Medical lexicon Normalization ab: Entity normalization is a common strategy to resolve ambiguities by mapping all the synonym mentions to a single concept identifier in standard terminology. Normalizing medical entities is challenging, especially for languages other than English, where lexical variation is considerably under-represented. Here, we report a new linguistic resource for medical entity normalization in Spanish. We applied a UMLS-based medical lexicon (MedLexSp) to automatically normalize mentions from 2000 medical referrals of the Chilean Waiting List Corpus. Three medical students manually revised the automatic normalization. The inter-coder agreement was computed, and the distribution of concepts, errors, and linguistic sources of variation was analyzed. The automatic method normalized 52% of the mentions, compared to 91% after manual revision. The lowest agreement between automatic and automatic-manual normalization was observed for Finding, Disease, and Procedure entities. Errors in normalization were associated with ortho-typographic, semantic, and grammatical linguistic inadequacies, mainly of the hyponymy/hyperonymy, polysemy/metonymy, and acronym-abbreviation types. This new resource can enrich dictionaries and lexicons with new mentions to improve the functioning of modern entity normalization methods. The linguistic analysis offers insight into the sources of lexical variety in the Spanish clinical environment related to error generation using lexicon-based normalization methods. This article also introduces a workflow that can serve as a benchmark for comparison in studies replicating our analysis in Romance languages. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2025. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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