Biomedical Named Entity Recognition with Multilingual BERT.
BioNLP-OST@EMNLP-IJNCLP(2019)
Abstract
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 Fscore 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.
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Key words
Named Entity Recognition
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