  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.
