<div dir="ltr"><p align="center" style="margin:10pt 0cm;text-align:center;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">*** Call for Participation Cantemist:<br>CANcer TExt Mining Shared Task (IberLEF - SEPLN 2020) ***</span></b></p><p align="center" style="margin:10pt 0cm;text-align:center;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p align="center" style="margin:10pt 0cm;text-align:center;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Named Entity Recognition of Tumor Morphology Mentions and ICD-O-3 coding track at SEPLN 2020</span></b></p><p align="center" style="margin:10pt 0cm;text-align:center;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"><a href="https://temu.bsc.es/cantemist/" target="_blank">https://temu.bsc.es/cantemist/</a><u><span style="color:rgb(17,85,204)"></span></u></span></p><p align="center" style="margin:10pt 0cm;text-align:center;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es"> </span></b></p><p align="center" style="margin:10pt 0cm;text-align:center;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">Plan TL Award for the Cantemist Track winners</span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">Following the success of previous shared tasks we have coordinated in collaboration with the BioCreative challenges (e.g. ChemDNER, ChemProt), BioNLP-OST (PharmaCoNER), eHealth CLEF (CodiEsp) or IberLEF2019 (MEDDOCAN) we are organizing the first shared task specifically focusing on named entity recognition of a critical type of concept related to cancer, namely <b>tumor morphology</b>, called CANTEMIST. These previous efforts resulted in high impact datasets, publications and new tools. </span><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">The Cantemist sub-tracks:</span></b></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">1.CANTEMIST-NER</span></b><span lang="es">: finding mentions of tumor morphology in oncology cases.</span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">2.CANTEMIST-NORM:</span></b><span lang="es"> recognition and mapping to concept identifiers from ICD-O-3.</span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">3.CANTEMIST-CODING: </span></b><span lang="es">oncology clinical coding (multi-label classification) assigning ICD-O-3 codes to clinical case documents.</span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Key information</span></b></p><p style="margin:10pt 0cm 0.0001pt 47pt;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">1.<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span></span><span lang="es">Cantemist web, info & detailed description: </span><span lang="es"><a href="https://temu.bsc.es/cantemist/" target="_blank">https://temu.bsc.es/cantemist/</a></span></p><p style="margin:0cm 0cm 0.0001pt 47pt;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">2.<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span></span><span lang="es">Registration for Cantemist: </span><span lang="es"><a href="https://temu.bsc.es/cantemist/?p=3956" target="_blank">https://temu.bsc.es/cantemist/?p=3956</a></span></p><span style="color:rgb(0,0,0);font-family:Calibri,Helvetica,sans-serif;font-size:16px"></span><p style="margin:0cm 0cm 0.0001pt 47pt;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">3.<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">     </span></span><span lang="es">Datasets: </span><span lang="es"><a href="https://zenodo.org/record/3878488" target="_blank">https://zenodo.org/record/3878488</a></span></p><div><div><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Task motivation</span></b></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial">There is a pressing need to apply natural language processing (NLP) and text mining technologies to process clinical texts in order to unlock critical information that enables better clinical decision-making. NLP can facilitate the use of information from literature and electronic health records in biomedical data analysis. <i>Understanding diseases requires the extraction of certain key entities like diseases, treatments or symptoms</i> and their attributes from textual data, as has become clear from the recent COVID-19 (SARS-CoV-2, coronavirus disease) pandemic, which showed the current struggle in processing clinical documents written in various languages.</p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial">With over <b>470 million</b> native speakers, there is a worldwide interest in processing medical texts in Spanish (every 10 minutes, tens of thousands of EHRs are produced just in Spain). Such technologies also have the potential of being <b>adapted to handle other languages</b>, like Italian, German, French or even English.</p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial">Results of systems capable of automatically processing clinical texts are not only of interest for the medical user community or researchers working on basic and applied health-related disciplines, but are also demanded by the pharmaceutical industry and ultimately by patients.</p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial">Due to the special relevance of cancer as one of the leading causes of death and the growing healthcare expenditures for oncological treatments a specific classification resource for oncology has been constructed by the WHO known as International Classification of Diseases for Oncology (<b>ICD-O</b>). The CIE-O has been used for over 25 years as a standard resource to code diagnosis of neoplasms in tumor and cancer registries as well as pathology reports.</p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"> </p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Important dates</span></b><span lang="es"></span></p><p style="margin:0cm 0cm 0.0001pt;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">June, 5: Train set and guidelines release</span></p><p style="margin:0cm 0cm 0.0001pt;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">June, 12: First development set release</span></p><p style="margin:0cm 0cm 0.0001pt;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">July, 3: Test and Background set release</span></p><p style="margin:0cm 0cm 0.0001pt;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">Aug, 3: End of the evaluation period</span></p><p style="margin:0cm 0cm 0.0001pt;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">Aug, 14: Paper submission</span></p><p style="margin:0cm 0cm 0.0001pt;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">Sep 1: Camera-ready paper submission</span></p><p style="margin:0cm 0cm 0.0001pt;border:medium none;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">Sep 23-25: SEPLN 2020 Conference</span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Publications and workshop</span></b></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">There will be an <b>evaluation workshop allocated at SEPLN 2020</b> where participating teams can present their systems and results. Moreover, participating teams will be invited to submit their system description papers for publication at the <b>SEPLN 2020 Working Notes proceedings</b>. For previous working notes see: </span><span lang="es"><a href="http://ceur-ws.org/Vol-2421/" target="_blank">http://ceur-ws.org/Vol-2421/</a><u><span style="color:rgb(17,85,204)"></span></u></span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Cantemist awards</span></b></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">There will be three awards for the top-scoring teams promoted by the Spanish Plan for the Advancement of Language Technology (Plan TL) and the Barcelona Supercomputing Center (BSC).</span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Main Track organizers</span></b></p><p style="margin:10pt 0cm 0.0001pt 47pt;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span></span><b><span lang="es">Martin Krallinger</span></b><span lang="es">, Barcelona Supercomputing Center, Spain</span><span lang="es"></span></p><p style="margin:0cm 0cm 0.0001pt 47pt;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span></span><b><span lang="es">Antonio Miranda</span></b><span lang="es">, Barcelona Supercomputing Center, Spain</span><span lang="es"></span></p><p style="margin:0cm 0cm 0.0001pt 47pt;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span></span><b><span lang="es">Eulália Farré</span></b><span lang="es">, Barcelona Supercomputing Center, Spain</span><span lang="es"></span></p><p style="margin:0cm 0cm 10pt 47pt;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      </span></span><b><span lang="es">Jose Antonio</span></b><span lang="es">, Hospital 12 de Octubre, Madrid, Spain</span></p><p style="margin:10pt 0cm;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p><p style="margin:0cm 0cm 0.0001pt;border:medium none;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"></span></p><p style="margin:0cm 0cm 0.0001pt;border:medium none;line-height:16.8667px;font-size:11pt;font-family:Arial"><b><span lang="es">Scientific Committee</span></b></p><p style="margin:0cm 0cm 0.0001pt;border:medium none;line-height:16.8667px;font-size:11pt;font-family:Arial"><span lang="es"> </span></p></div></div><ul><div><div><li style="margin-left:15px"><b>Kirk Roberts</b>, School of Biomedical Informatics, University of Texas Health Science Center, USA</li><li style="margin-left:15px"><b>Parminder Bhatia</b>, Amazon Health AI, USA</li><li style="margin-left:15px"><b>Irene Spasic</b>, School of Computer Science & Informatics, co-Director of the Data Innovation Research Institute, Cardiff University, UK</li></div></div><li style="margin-left:15px"><b>Tristan Naumann</b>, Microsoft Research Healthcare NExT, USA</li><li style="margin-left:15px"><b>Carlos Luis Parra Calderón</b>, Head of Technological Innovation, Virgen del Rocío University Hospital, Institute of Biomedicine of Seville, Spain</li><li style="margin-left:15px"><b>Alfonso Valencia Herrera</b>, Barcelona Supercomputing Center (BSC-CNS), Spain</li><li style="margin-left:15px"><b>Hercules Dalianis</b>, Department of Computer and Systems Sciences, Stockholm University, Sweden</li><li style="margin-left:15px"><b>Kevin Bretonnel Cohen</b>, Colorado School of Medicine, USA; LIMSI, CNRS, Université Paris-Saclay, France</li><li style="margin-left:15px"><b>Karin Verspoor</b>, School of Computing and Information Systems, Health and Biomedical Informatics Centre, University of Melbourne, Australia</li><li style="margin-left:15px"><b>Aurélie Névéol</b>, LIMSI-CNRS, Université Paris-Sud, France</li><li style="margin-left:15px"><b>Goran Nenadic</b>, Department of Computer Science, University of Manchester, UK</li><li style="margin-left:15px"><b>Zhiyong Lu</b>, Deputy Director for Literature Search, National Center for Biotechnology Information (NCBI)<br></li><li style="margin-left:15px"><b>Ashish Tendulkar</b>, Machine Learning Architect, Google</li></ul><font color="#888888"><div><br></div></font><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><span><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><b style="font-size:small">Antonio Miranda</b><div style="font-size:small;font-family:Arial,Helvetica,sans-serif"><span style="letter-spacing:0.2px">Biomedical Engineer at Barcelona Supercomputing Center<br></span></div><div style="font-size:small;font-family:Arial,Helvetica,sans-serif"><i><font size="1">Phone: 0034 649227310</font></i></div><div><i style="font-family:Arial,Helvetica,sans-serif;font-size:small"><font size="1">Location: Barcelona</font></i><i style="font-family:Arial,Helvetica,sans-serif;font-size:small;letter-spacing:0.2px"><font size="1">, Spain</font></i><i><font size="1"><br></font></i></div></div></div></div></div></div></span></div></div></div>