<div dir="ltr"><p class="MsoNormal" style="margin:10pt 0cm;text-align:center;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria" align="center"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">*** CFP SMM4H-SPANISH:<br>ProfNER Shared Task (</span>SMM4H<span style="font-size:11pt;line-height:16.8667px;font-family:Arial"> - </span>NAACL 2021<span style="font-size:11pt;line-height:16.8667px;font-family:Arial">) ***</span></b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;text-align:center;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria" align="center"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"> </span><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;text-align:center;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria" align="center"><b style="font-family:Arial,Helvetica,sans-serif;font-size:small">ProfNER: </b><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b>Identification of professions & occupations in Health-related Social Media (SMM4H at NAACL)</b></span></p><p class="MsoNormal" style="margin:10pt 0cm;text-align:center;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria" align="center"><span style="font-size:12pt"><a href="https://temu.bsc.es/smm4h-spanish/" target="_blank">https://temu.bsc.es/smm4h-spanish/</a></span></p><p class="MsoNormal" style="margin:10pt 0cm;text-align:center;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria" align="center"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"> </span></b><span style="font-family:Arial;font-size:11pt"> </span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">We
are organizing the first shared task specifically focusing on named
entity recognition of professions & occupations in Social Media in
Spanish. <br></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">Specifically, we focus on Twitter data related to Covid-19 and
lock-downs.</span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">ProfNER is part of The Social Media Mining for Health Applications (#SMM4H) Shared Task 2021.</span></p><p class="MsoNormal" style="margin-top:10pt;margin-right:0cm;margin-bottom:10pt;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">A version of the provided ProfNER corpus <i>t<u>ranslated automatically into English</u></i> (ProfNER-MT) is also available to participating teams.</span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><br></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b style="font-size:12pt"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">The ProfNER sub-tracks:</span></b><br></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b>Tweet binary classification: </b></span></span><span style="font-family:Arial,Helvetica,sans-serif;font-size:small">Participants must determine whether a tweet contains a mention of occupation, or not.</span><br></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b>NER offset detection and classification</b></span><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">: </span></b><span style="font-family:Arial,Helvetica,sans-serif;font-size:small">Participants must find the beginning and end of occupation mentions and classify them in the corresponding category</span></p><div><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b style="font-family:Arial,Helvetica,sans-serif;font-size:small"><br></b></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">Key information:</span></b></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b style="font-family:Arial,Helvetica,sans-serif;font-size:small">ProfNER web: </b><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><a href="https://temu.bsc.es/smm4h-spanish/" target="_blank">https://temu.bsc.es/smm4h-spanish/</a></span><br></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b>Datasets: </b></span></span><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><a href="https://doi.org/10.5281/zenodo.4309356" target="_blank">https://doi.org/10.5281/zenodo.4309356</a></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b>Registration: </b></span></span><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><a href="https://forms.gle/1qs3rdNLDxAph88n6" target="_blank">https://forms.gle/1qs3rdNLDxAph88n6</a></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b>CodaLab: </b></span></span><a href="https://competitions.codalab.org/competitions/28766" target="_blank"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small">https://competitions.codalab.</span><span style="font-family:Arial,Helvetica,sans-serif;font-size:small">org/competitions/28766</span></a></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><br></span></b></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">Other ProfNER resources:</span></b></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b style="font-family:Arial,Helvetica,sans-serif;font-size:small">Embeddings (Twitter Spanish): </b><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><a href="https://temu.bsc.es/smm4h-spanish/" target="_blank">https://doi.org/10.5281/zenodo.4449929</a></span><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b><br></b></span></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><b>Professions and occupation gazetteer: </b></span></span><span style="font-family:Arial,Helvetica,sans-serif;font-size:small"><a href="https://doi.org/10.5281/zenodo.4309356" target="_blank">https://doi.org/10.5281/zenodo.4524658</a></span></p></div><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"> </span><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">Task motivation</span></b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial"><span style="line-height:16.8667px"><font face="arial, sans-serif">Some
workers are at the forefront of the battle against the COVID-19
pandemic. Detecting vulnerable occupations is critical to prepare
preventive measures related to exposure to the virus as well as indirect
mental health issues due to fear of infection, confinement, etc.</font></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><span style="line-height:16.8667px">NLP
systems benefit from recent NLP technologies such as transformers,
novel language technologies and transfer learning and from the vast
production of real-time data in social media.</span></font></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial">Following
the previous organization of shared task with high impact with a
considerable number of participants [Cantemist], [CodiEsp], [Meddocan]
we are organizing the ProfNER track. It promotes the development of
profession & occupation-related text mining resources in Spanish
social media due to the special relevance of professions in the
definition of at-risk groups.<br></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial"><span style="font-family:arial,sans-serif">Systems
capable of automatically processing social media texts are of interest
to the medical user community, researchers, the pharmaceutical industry
as well as patients. The detection of profession & occupation
information is relevant for general NLP, occupational data mining, etc.</span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial">Competing
systems have the potential to generalize to alike use cases in other
content types such as medical reports and in other languages.</p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial"><span style="font-family:Arial;font-size:11pt"> </span><br></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">Important dates</span></b></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial"><font face="arial, sans-serif">Dec, 15: Training & Development set release<br>Feb, 15: Validation set submission due [Required]<br>Mar, 1: Test set & background set release<br>Mar, 4: Test set predictions due<br>Mar, 15: System descriptions due<br>Apr, 1: Acceptance notification<br>Apr, 12: Camera-ready system descriptions<br>June 6–11: NAACL 2021 conference</font><b style="font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"><br></span></b></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"> </span><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">Publications and workshop</span></b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial"><font face="arial, sans-serif">Each participating team will have the opportunity to submit a system description which will be published as part of the <b>shared task proceedings</b>.<br>The 6th SMM4H Workshop, <b>co-located at NAACL 2021</b> More details are available at <a href="https://healthlanguageprocessing.org/smm4h-2021/" target="_blank">https://healthlanguageprocessing.org/smm4h-2021/</a></font></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"> </span></p><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">Track Organizers</span></b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><ul style="margin-bottom:0cm" type="disc"><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Martin Krallinger</b>, </font>Barcelona Supercomputing Center, Spain<br></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Antonio Miranda-Escalada</b>, Barcelona Supercomputing Center, Spain<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Eulàlia Farré</b>, </font>Barcelona Supercomputing Center, Spain</li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Salvador Lima</b>, </font>Barcelona Supercomputing Center, Spain</li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><b>Vicent Briva-Iglesias</b>, D-REAL, Dublin City University, Ireland<br></li></ul><p class="MsoNormal" style="margin:10pt 0cm;line-height:18.4px;background-image:none;background-position:0% 0%;background-size:initial;background-repeat:repeat;background-origin:initial;background-clip:initial;font-size:12pt;font-family:Cambria"><b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial">SMM4H Organizers</span></b><span style="font-size:11pt;line-height:16.8667px;font-family:Arial"></span></p><ul style="margin-bottom:0cm" type="disc"><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Graciela Gonzalez-Hernandez</b>, University of Pennsylvania, USA</font><br></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Davy Weissenbacher</b>, University of Pennsylvania, USA<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Ari Z. Klein</b>, University of Pennsylvania, USA<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Karen O’Connor</b>, University of Pennsylvania, USA<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Abeed Sarker</b>, Emory University, USA<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Elena Tutubalina</b>, Kazan Federal University, Russia<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Zulfat Miftahutdinov</b>, Kazan Federal University, Russia<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Ilsear Alimova</b>, Kazan Federal University, Russia<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Martin Krallinger</b>, Barcelona Supercomputing Center, Spain<br></font></li><li class="MsoNormal" style="margin:0cm 0cm 0.0001pt"><font face="arial, sans-serif"><b>Juan Banda</b>, Georgia State University, USA</font></li></ul><font color="#888888"><div><br><br><br><br></div></font></div>