{"id":19,"date":"2025-11-07T11:07:23","date_gmt":"2025-11-07T10:07:23","guid":{"rendered":"https:\/\/temu.bsc.es\/MultiClinAI\/?page_id=19"},"modified":"2026-07-17T08:55:35","modified_gmt":"2026-07-17T06:55:35","slug":"publications","status":"publish","type":"page","link":"https:\/\/temu.bsc.es\/MultiClinAI\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\"><strong>Publications<\/strong><\/h1>\n\n\n\n<p>MultiClinAI working note:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ramirez-Arrabe A, Martinez-Romo J, Duque A. LSI_UNED at MultiClinAI 2026: grid-based biomedical named entity recognition across languages and entity types. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Molino Pi\u00f1ar L, Diaz-Galiano MC, Mart\u00edn-Valdivia MT. SINAI at MultiClinAI 2026: multilingual clinical NER with MrBERT-biomed and Optuna hyperparameter optimization. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Jonker RAA, Matos S. BIT.UA at #SMM4H-HeaRD 2026: towards multi-class multilingual clinical entity recognition with multi-head CRF ensembles. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Sharma K, Singhal R, Bedi J. blue at SMM4H-HeaRD 2026: class-weighted transformer ensembles with structured decoding and chain-of-thought blending across six health NLP shared tasks. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>van Es B. DT4H.nl at #SMM4H-HeaRD 2026: multilingual clinical NER with multilingual and monolingual models. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Vassileva S, Ilieva P, Kostadinov T, Petkova MP, Manchevski D, Doynov V, et al. Enigma at #SMM4H-HeaRD 2026: leveraging multilingual pre-trained models for clinical named entity recognition. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Rey-Blanes A, Gim\u00e9nez-G\u00f3mez S, Veredas FJ, Moreno-Barea FJ. ICB-UMA at #SMM4H-HeaRD 2026: hybrid clinical entity projection for MultiClinAI: adaptive candidate windows, XGBoost, and LLM refinement. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Arnoult S, Chen S, Vossen P. LotusOrchid at #SMM4H-HeaRD 2026: fitting pretrained encoders for Dutch medical data. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Danoe G, Berends MS, Voss A, Hamprecht A. Dr-BERT-NL at #SMM4H-HeaRD 2026: DOKTERBERT\u2014ontology-grounded contextual representations for Dutch clinical NLP. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Remy F. Parallia at #SMM4H-HeaRD 2026: ClinicalAligner26AM: a cross-lingual aligner for dataset translation; evidences from the MultiClinCorpus shared task. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Zelina P, Novacek V. Discovery@FI at #SMM4H-HeaRD 2026: ensemble character classifier for multilingual clinical NER. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Das N, Aich R, Chowdhury M. Vinland_Vector at #SMM4H-HeaRD 2026: multilingual ADE detection and query-augmented clinical NER for English. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n\n\n\n<li>Danu MD. SIEMENS at #SMM4H-HeaRD 2026: the impact of training strategy and backbone selection on BERT-based multilingual clinical NER. In: Proceedings of the 11th Social Media Mining for Health (#SMM4H) and Health Real-World Data (HeaRD) Workshop and Shared Tasks. Association for Computational Linguistics; 2026.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Publications MultiClinAI working note:<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-19","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/pages\/19","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/comments?post=19"}],"version-history":[{"count":7,"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/pages\/19\/revisions"}],"predecessor-version":[{"id":283,"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/pages\/19\/revisions\/283"}],"wp:attachment":[{"href":"https:\/\/temu.bsc.es\/MultiClinAI\/wp-json\/wp\/v2\/media?parent=19"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}