Processing LitCovid/PMC with OGER-BB

Table of Contents

1 LitCovid/PMC

LitCovid is set of COVID19-related abstracts, released by the National Libray of Medicine. A subset of the LitCovid paper has a corresponding full text available from PubMed Central. We call this subset LitCovid/PMC

As we have done previously with the LitCovid corpus, we have now processed the LitCovid/PMC corpus with our entity recognition tools, Bio Term Hub and OGER-BB. The results are made accessible in different formats:

1.1 Timeline

[2020-06-21 Sun] latest update of LitCovid/PMC processed by our tools. It contains 7883 full-text articles.

2 How to use OGER

You can submit a pubmed abstract (via PubMed ID), a pubmed central full text paper (via PMC ID), or any plain text (via cut and paste) to our OGER annotation service.

Find here instructions on how to use the OGER RESTful API.

3 Who are we?

This page is maintained by the Biomedical Text Mining group at the Institute of Computational Linguistics, University of Zurich.

For additional information about the tools and research activities described in this page, please contact Fabio Rinaldi.

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Author: Fabio Rinaldi

Created: 2020-06-28 Sun 17:17