English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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 withrelevant and valuable information. The COVID-19 Open Research Dataset Challenge(CORD-19) is a "call to action" for computer scientists to develop theseinnovative tools. Many of these applications are empowered by entityinformation, i. e. knowing which entities are used within a sentence. For thispaper, we have developed a pipeline upon the latest Named Entity Recognitiontools for Chemicals, Diseases, Genes and Species. We apply our pipeline to theCOVID-19 research challenge and share the resulting entity mentions with thecommunity.

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