Biomedical Named Entity Recognition with Multilingual BERT

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dc.contributor.authorHakala Kai
dc.contributor.authorPyysalo Sampo
dc.contributor.organizationfi=kieli- ja puheteknologia|en=Language and Speech Technology|
dc.contributor.organization-code1.2.246.10.2458963.20.47465613983
dc.contributor.organization-code2606805
dc.converis.publication-id45040320
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/45040320
dc.date.accessioned2025-08-27T22:47:39Z
dc.date.available2025-08-27T22:47:39Z
dc.description.abstract<p>We present the approach of the Turku NLP group to the PharmaCoNER task on Spanish biomedical named entity recognition. We apply a CRF-based baseline approach and multilingual BERT to the task, achieving an F-score of 88% on the development data and 87% on the test set with BERT. Our approach reflects a straightforward application of a state-of-the-art multilingual model that is not specifically tailored to either the language nor the application domain. The source code is available at: https://github.com/chaanim/pharmaconer<br /></p>
dc.format.pagerange56
dc.format.pagerange61
dc.identifier.isbn978-1-950737-82-6
dc.identifier.olddbid202812
dc.identifier.oldhandle10024/185839
dc.identifier.urihttps://www.utupub.fi/handle/11111/48884
dc.identifier.urlhttps://www.aclweb.org/anthology/D19-5709/
dc.identifier.urnURN:NBN:fi-fe2021042821072
dc.language.isoen
dc.okm.affiliatedauthorHakala, Kai
dc.okm.affiliatedauthorPyysalo, Sampo
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA4 Conference Article
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.conferenceWorkshop on BioNLP Open Shared Tasks
dc.relation.doi10.18653/v1/D19-5709
dc.source.identifierhttps://www.utupub.fi/handle/10024/185839
dc.titleBiomedical Named Entity Recognition with Multilingual BERT
dc.title.bookProceedings of The 5th Workshop on BioNLP Open Shared Tasks
dc.year.issued2019

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