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We introduce biomedical and clinical English model packages for the StanzaPython NLP library. These packages offer accurate syntactic analysis and namedentity recognition capabilities for biomedical and clinical text, by combiningStanza's fully neural architecture with a wide variety of open datasets as wellas large-scale unsupervised biomedical and clinical text data. We show viaextensive experiments that our packages achieve syntactic analysis and namedentity recognition performance that is on par with or surpassesstate-of-the-art results. We further show that these models do not compromisespeed compared to existing toolkits when GPU acceleration is available, and aremade easy to download and use with Stanza's Python interface. A demonstrationof our packages is available at: http://stanza.run/bio.

Biomedical and Clinical English Model Packages in the Stanza Python NLP Library