Beyond Embeddings: Comparing Language-Aware Sparse Representations and Fine-Tuned Multilingual Transformer Classifiers for Multi-label Subject Classification in Institutional Repositories

cic.institucionOrigenCentro de Servicios en Gestión de Información
cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloProyecto de Enlace de Bibliotecas
cic.lugarDesarrolloServicio de Difusión de la Creación Intelectual
cic.parentTypeObjeto de conferencia
cic.versionPublicada
dc.date.accessioned2026-10-27T10:38:02Z
dc.date.available2026-10-27T10:38:02Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12824
dc.titleBeyond Embeddings: Comparing Language-Aware Sparse Representations and Fine-Tuned Multilingual Transformer Classifiers for Multi-label Subject Classification in Institutional Repositorieses
dc.typeArtículo
dcterms.abstractInstitutional repositories need scalable support for multilingual subject metadata assignment to long documents. On 19,710 SEDICI items and 37 labels, we compare 231 sparse/fixed-embedding configurations and two fine-tuned DistilUSE/LaBSE classifiers under separate threshold-selection, validation, and test partitions. Language-aware BM25 full text with LinearSVC achieved held-out Macro-F1 = 0.7522 (95% CI 0.7372–0.7643), Micro-F1 = 0.7685 (0.7567–0.7797), and Recall@3 = 0.9320; the LaBSE-initialized classifier reached Macro-F1 = 0.7069. A post-hoc BM25–LaBSE matched-exposure control, validation-only over three seeds with no test access, preserved the aggregate BM25 advantage. Strong sparse baselines therefore remain competitive under the evaluated Transformer protocols.en
dcterms.creator.authorNusch, Carlos Javier
dcterms.creator.authorCagnina, Leticia Cecilia
dcterms.creator.authorLira, Ariel Jorge
dcterms.creator.authorVillarreal, Gonzalo Luján
dcterms.creator.authorAntonelli, Rubén Leandro
dcterms.creator.authorErrecalde, Marcelo Luis
dcterms.creator.authorBértoli, Rafael
dcterms.creator.authorRojas, Manuel
dcterms.creator.authorVila, María Marta
dcterms.creator.authorDe Giusti, Marisa Raquel
dcterms.extent811-820
dcterms.isPartOf.issueXXXII Congreso Argentino de Ciencias de la Computación (Concepción del Uruguay, 5 al 9 de octubre de 2025)
dcterms.isPartOf.itemLibro de actas - XXXII Congreso Argentino de Ciencias de la Computación - CACIC 2026
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.subjectmulti-label classificationes
dcterms.subjectautomated subject indexinges
dcterms.subjectinstitutional repositorieses
dcterms.subjectmultilingual preprocessinges
dcterms.subjectBM25es
dcterms.subjectDistilUSEes
dcterms.subjectLaBSEes
dcterms.subject.materiaCiencias de la Computación

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