PharmaCoNER Silver Standard: Participant predictions in PharmaCoNER shared task

<p><strong>Introduction</strong></p> <p>Predictions in the test and background set of PharmaCoNER participants.</p> <p>&nbsp;</p> <p><strong>Zip structure</strong></p> <p>One directory per PharmaCoNER participant. Within each participant directory, there is one directory per run.</p> <p>&nbsp;</p> <p><strong>Corpus format description</strong></p> <p>For subtask 1 annotations are distributed in Brat format. See Brat webpage for more information <a href="https://brat.nlplab.org/standoff.html">https://brat.nlplab.org/standoff.html</a></p> <p>For subtask-2, codes are associated with each document are given in a TSV file with the following columns:&nbsp;</p> <pre>articleID code </pre> <p><br> <strong>Resources:</strong></p> <ul> <li><strong><a href="https://temu.bsc.es/pharmaconer/">Web</a></strong></li> <li><strong>Citation:&nbsp;</strong>A. G. Agirre, M. Marimon, A. Intxaurrondo, O. Rabal, M. Villegas, M. Krallinger, Pharmaconer: Pharmacological substances, compounds and proteins named entity recognition track, in: Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019, pp. 1&ndash;10.</li> <li><a href="https://doi.org/10.5281/zenodo.4270157"><strong>Gold Standard corpus</strong></a></li> <li><a href="https://doi.org/10.5281/zenodo.3763276"><strong>Annotation guidelines</strong></a></li> <li><a href="https://github.com/TeMU-BSC/PharmaCoNER-Tagger"><strong>PharmaCoNER tagger</strong></a></li> </ul> <p>&nbsp;</p> <p>All credit&nbsp;to PharmaCoNER participants.&nbsp;</p> <p>For further information, please visit&nbsp;<a href="https://temu.bsc.es/pharmaconer/">https://temu.bsc.es/pharmaconer/</a>&nbsp;or email us at encargo-pln-life@bsc.es</p> <p>Copyright (c) 2018 Secretar&iacute;a de Estado para el Avance Digital (SEAD)</p>