Biomedical Named Entity Recognition with Multilingual BERT

Code

• github.com/chaanim/pharmaconer
  OfficialIn papernone★ 0

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 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

Tasks

Reproductions