A4 Refereed article in a conference publication
Biomedical Named Entity Recognition with Multilingual BERT
Authors: Hakala Kai, Pyysalo Sampo
Editors: Kim Jin-Dong, Nédellec Claire, Bossy Robert, Deléger Louise
Conference name: Workshop on BioNLP Open Shared Tasks
Publication year: 2019
Book title : Proceedings of The 5th Workshop on BioNLP Open Shared Tasks
First page : 56
Last page: 61
ISBN: 978-1-950737-82-6
DOI: https://doi.org/10.18653/v1/D19-5709
Web address : https://www.aclweb.org/anthology/D19-5709/
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/45040320
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
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