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arXiv · 2005.08823

A Semantically Enriched Dataset based on Biomedical NER for the COVID19 Open Research Dataset Challenge

Hermann Kroll·Jan Pirklbauer·Johannes Ruthmann·Wolf-Tilo Balke
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Abstract

Research into COVID-19 is a big challenge and highly relevant at the moment. New tools are required to assist medical experts in their research with relevant and valuable information. The COVID-19 Open Research Dataset Challenge (CORD-19) is a "call to action" for computer scientists to develop these innovative tools. Many of these applications are empowered by entity information, i. e. knowing which entities are used within a sentence. For this paper, we have developed a pipeline upon the latest Named Entity Recognition tools for Chemicals, Diseases, Genes and Species. We apply our pipeline to the COVID-19 research challenge and share the resulting entity mentions with the community.

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Hermann Kroll, Jan Pirklbauer, Johannes Ruthmann, Wolf-Tilo Balke. 2020-05-18. A Semantically Enriched Dataset based on Biomedical NER for the COVID19 Open Research Dataset Challenge. https://arxiv.org/abs/2005.08823

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