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<body class='hmmessage'><div dir='ltr'><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;">**Sorry for cross-posting**</div><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;"><br></div><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;"><br></div><div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><b>Call for Papers/Participation to shared task and Competition</b></span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><br></span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">The Workshop on Computational Personality Recognition 2014 is a challenge-based shared task at its second edition and this year will be held in conjunction to <a href="http://www.acmmm.org/2014/">ACMMM</a> in Orlando (FL) on novemeber 7. The main goals of the workshop is to define the state-of-the-art and release data/tools for a standard evaluation of computational personality recognition. Organizers warmly invite contributors working in</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Personality Recognition</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Data Mining, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Computational Psychology, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Natural Language Processing, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Social Network Analysis, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Sentiment Analysis,</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Opinion Mining,</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Mood Detection, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Deception Detection, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Information Extraction, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Human-Computer Interaction, </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Authorship Attribution,</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">and other related areas,</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">to submit papers and participate to the competition.</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Task organizers will provide an introductory paper to summarize the results and describe the task. The results of the workshop will be available to the public. </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><br></span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">Organizers released two gold standard labelled datasets and one evaluation tool:</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><i>- Youtube personality dataset</i>, described in Biel & Gatica-Perez 2013.</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><i>- Mobile personality dataset</i>, described in Aharoni et al. 2011; Staiano et al. 2012.</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><i>- Evaluation tool</i>.</span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">The shared task is structured in two tracks: one open track and two competitions. </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><br></span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><b>Track 1a</b>: competition on multimodal personality recognition. Contributors are required to use the Youtube personality dataset or the Mobile personality dataset to: </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">1) develop their own system for personality type classification, that generates the predictions in the format required by the evaluation tool; </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">2) submit a short paper (max. 4 pages, including references) indicating "multimodal personality recognition" in the keywords, and reporting all the information about features, resources and techniques used in the experiments. </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">3) report predictions file while submitting the paper. </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><br></span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><b>Track 1b</b>: competition on personality recognition from text. Contributors are required to use only the text transcriptions from the Youtube personality dataset to: </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">1) develop their own system for personality type classification, that generates the predictions in the format required by the evaluation tool; </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">2) submit a short paper (max. 4 pages, including references) indicating "personality recognition from text" in the keywords, and reporting all the information about features, resources and techniques used in the experiments. </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">3) report predictions file while submitting the paper. </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><br></span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;"><b>Track 2</b>: open shared task. Contributors are required to: </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">1) use at least one of the datasets provided by the organizers; </span></font></div><div><font face="Verdana, Helvetica, Arial, sans-serif" size="2"><span style="line-height: 21.33333396911621px;">2) submit a short paper (max. 4 pages, including references) indicating "personality shared task" in the keywords, and discussing their results. Contributors are allowed to use any other corpus or resource, including the ones released in the previous edition of the workshop, to provide useful comparisons between personality recognition and other research fields.</span></font></div></div><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;"><br></div><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;">more info on the workshop website <a href="https://sites.google.com/site/wcprst/home/wcpr14" target="_blank" style="font-family: Calibri, sans-serif; font-size: 12pt;">https://sites.google.com/site/wcprst/home/wcpr14</a></div><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;"><br></div><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;">Regards.</div><div style="line-height: 21.33333396911621px; font-size: 13.333333015441895px; font-family: Verdana, Helvetica, Arial, sans-serif;"><br></div><font color="#666666" size="2" face="Tahoma">Fabio Celli</font><div style="line-height:21.30000114440918px;color:rgb(68, 68, 68);font-size:14.666666984558105px;"><font color="#666666" size="2" face="Tahoma" style="line-height:normal;">Post Doc</font></div><div style="line-height:21.30000114440918px;color:rgb(68, 68, 68);font-size:14.666666984558105px;"><div><font color="#666666" size="2" face="Tahoma" style="line-height:normal;">Department of Information Engineering and Computer Science</font></div><div><font color="#666666" size="2" face="Tahoma" style="line-height:normal;">University of Trento</font></div></div><div style="line-height:21.30000114440918px;color:rgb(68, 68, 68);font-size:14.666666984558105px;"><a href="http://clic.cimec.unitn.it/fabio/" target="_blank" style="font-weight:inherit;color:rgb(0, 104, 207);cursor:pointer;"><font color="#666666" size="2" face="Tahoma" style="line-height:normal;">http://clic.cimec.unitn.it/fabio/</font></a></div> </div></body>
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