Two document-concept representations of the biomedical literature

<p>These two datasets represent the biomedical literature (Medline abstracts and PubMedCentral articles) in the &quot;document-concept matrix&quot; format produced by <a href="https://github.com/erwanm/tdc-tools">TDC Tools</a>.&nbsp; These datasets can be used in downstream IR applications such as Literature-Based Discovery.</p> <p>Each of the two datasets corresponds to a specific data extraction method, see details <a href="https://erwanm.github.io/tdc-tools/input-data-format/">here</a> and in the paper linked below.</p> <ul> <li>Paper: <em>pending </em></li> <li>Code: <a href="https://github.com/erwanm/tdc-tools">https://github.com/erwanm/tdc-tools</a> <ul> <li>Documentation:<a href="https://erwanm.github.io/tdc-tools/">https://erwanm.github.io/tdc-tools/</a></li> </ul> </li> </ul> <p><strong>Important:</strong> the raw data from which this data is derived was downloaded from <a href="https://www.nlm.nih.gov/medline/medline_overview.html">Medline</a>, <a href="https://www.ncbi.nlm.nih.gov/pmc/">PubMedCentral</a> and <a href="https://www.ncbi.nlm.nih.gov/research/pubtator/">PubTatorCentral</a>, provided <a href="https://www.nlm.nih.gov/databases/download/terms_and_conditions.html">courtesy of the U.S. National Library of Medicine (NLM)</a>. The data was extracted in January 2021 and do not reflect the most current/accurate data available from NLM. See the github repository above in order to generate similar datasets from up to date data.</p>