<div dir="ltr"><div class="gmail-adn gmail-ads"><div class="gmail-gs"><div class="gmail-"><div id="gmail-:157" class="gmail-ii gmail-gt"><div id="gmail-:158" class="gmail-a3s gmail-aXjCH"><div dir="ltr"><div dir="ltr"><div style="text-align:center"><b><font size="4" color="#ff0000">LAST Extended deadline: 31 July 2020</font></b></div><div><br></div><div><br></div><div><span style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px">Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP)</span><b style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><a href="https://www.dl-onto-nlp-fois2020.ml/" rel="noopener noreferrer" target="_blank"><span style="color:rgb(237,92,87);font-family:Arial,Helvetica,sans-serif;font-size:14pt"> </span><span style="font-family:Arial,Helvetica,sans-serif;font-size:14pt"><font color="#0b5394">https://www.dl-onto-nlp-fois2020.ml/</font></span></a></b><br></div><div style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><br></div><div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><font color="#000000">Part of The Joint Ontology Workshops JOWO 2020 at </font><font color="#0b5394"><span style="text-decoration-line:underline"><a href="https://fois2020.inf.unibz.it/" rel="noopener noreferrer" title="https://fois2020.inf.unibz.it/" target="_blank"><b>FOIS 2020</b></a></span> </font><span style="color:rgb(0,0,0)">in Bozen-Bolzano, Italy</span></div><div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><span style="color:rgb(0,0,0)"><br></span></div><div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><font color="#000000">**********************<b>NEWS: ONLINE WORKSHOP</b>*******************************</font></div><div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif">Due to the current international health situation, for the safety of
everyone, we decided to run the <b>DeepOntoNLP 2020 workshop</b> as an online
workshop. More information on the options for presentation will be provided
soon.</p></div><div style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"> ***************************************************************************************<br></div><div style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><br></div><div style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><b>*Workshop description*</b></div><div style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><br></div><div style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px">In
 recent years, deep learning is applied successfully and achieved 
state-of-the-art performance in a variety of domains, such as image 
analysis. Despite this success, deep learning models remain hard to 
analyse data and understand what knowledge is represented in them, and 
how they generate decisions.</p><p dir="ltr" style="margin-top:0px;margin-bottom:0px">Deep
 Learning (DL) meets Natural Language Processing (NLP) to solve human 
language problems for further applications, such as information 
extraction, machine translation, search and summarization. Previous 
works has attested the positive impact of domain knowledge on data 
analysis and vice versa, for example pre-processing data, searching 
data, redundancy and inconsistency data, knowledge engineering, domain 
concepts and relationships extraction, etc. Ontology is a structured 
knowledge representation that facilitates data access (data sharing and 
reuse) and assists the DL process as well. DL meets recently ontologies 
and tries to model data representations with many layers of non-linear 
transformations.</p><p dir="ltr" style="margin-top:0px;margin-bottom:0px">The combination of DL, ontologies and NLP might be beneficial for different tasks:</p><ul style="list-style:outside none square"><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px">Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration,</p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px">Ontologies
 for Deep Learning: semantic graph embeddings, latent semantic 
representation, hybrid embeddings (symbolic and semantic 
representations),</p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px">Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc.</p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px">NLP
 for Deep Learning: parsing (part-of-speech tagging), tokenization, 
sentence detection, dependency parsing, semantic role labeling, semantic
 dependency parsing, etc.</p></li></ul><h3 dir="ltr"><div><span style="font-size:12pt">*Objective*</span></div></h3><p dir="ltr" style="margin-top:0px;margin-bottom:0px"><span style="font-size:12pt">This </span><span style="font-size:12pt"></span><span style="font-size:12pt">workshop
 aims at demonstrating recent and future advances in semantic rich deep 
learning by using Semantic Web and NLP techniques which can reduce the 
semantic gap between the data, applications, machine learning process, 
in order to obtain a semantic-aware approaches. In addition, the goal of
 this workshop is to bring together an area for experts from industry, 
science and academia to exchange ideas and discuss results of on-going 
research in natural language processing, structured knowledge and deep 
learning approaches.</span></p></div><div style="color:rgb(0,0,0);font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><br></div><div style="font-family:Calibri,Arial,Helvetica,sans-serif;font-size:16px"><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt">We invite the submission of original works that is related -- but are not limited to -- the topics below.</span></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt"><br></span></p><h3 dir="ltr" style="color:rgb(0,0,0)"><div><span style="font-size:12pt">*Topics of interests*</span><u><span style="font-weight:normal"><span style="font-size:12pt"></span></span></u></div></h3><ul style="color:rgb(0,0,0);list-style:outside none square;margin-right:0px;margin-left:0px;padding:0px"><li dir="ltr" style="margin-left:20px"><span style="font-size:12pt">Construction ontology embeddings</span></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Ontology-based text classification</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Learning ontology embeddings</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Semantic role labelling</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Ontology reasoning with Deep Neural Networks</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Deep learning for ontological semantic annotations</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Spatial and temporal ontology embeddings</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Ontology alignment and matching based on deep learning models</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Ontology learning from text using deep learning models</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Unsupervised Learning</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Text classification using deep models</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Neural machine translation</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Deep question answering</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Deep text summarization</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">Deep speech recognition</span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="font-size:12pt">and so on.</span></p></li></ul><h3 dir="ltr" style="color:rgb(0,0,0);margin-left:0px;padding-left:0px"><div><span style="font-size:12pt">*Su</span><span style="font-size:12pt">bmission*</span></div></h3><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt">The
 workshop is open to original papers of theoretical or practical nature.
 Submissions should be up to 6 pages in length, formatted according to 
the IOS Press FOIS formatting guidelines, </span><u><a href="https://www.google.com/url?q=https%3A%2F%2Fwww.iospress.nl%2Fservice%2Fauthors%2Flatex-and-word-tools-for-book-authors%2F&sa=D&sntz=1&usg=AFQjCNGdqth7-iC-uRhhv9FT85IkHB5uaA" rel="noopener noreferrer" title="https://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/" target="_blank"><span style="color:black;font-size:12pt">(</span></a><a href="https://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/" rel="noopener noreferrer" target="_blank">downloadable here</a>)<span style="font-size:12pt">, </span></u><span style="font-size:12pt">prepared in PDF format and submitted via the workshop's</span><span style="font-size:12pt"></span><span style="font-size:12pt"><a href="https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$" rel="noopener noreferrer" title="https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$" target="_blank"> EasyChair</a></span><a href="https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$" rel="noopener noreferrer" target="_blank"><u><span style="color:black;font-size:12pt"></span></u></a><span style="font-size:12pt"> submission pages.</span></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt"><br></span></p><h3 dir="ltr" style="color:rgb(0,0,0)"><div><span style="font-size:12pt">*Important dates*</span></div></h3><ul style="list-style:outside none square;margin-right:0px;margin-left:0px;padding:0px"><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="color:rgb(0,0,0);font-size:12pt">Workshop paper submission due: </span><s style="color:rgb(0,0,0);box-sizing:border-box">June 29, 2020</s><span style="color:rgb(33,33,33);font-family:Roboto;font-size:17.3333px;font-variant-ligatures:none;white-space:pre-wrap"> </span><span style="box-sizing:border-box;font-family:Roboto;font-size:17.3333px;font-variant-ligatures:none;white-space:pre-wrap"><strong style="box-sizing:border-box"><font color="#ff0000">July 31, 2020</font></strong></span></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="color:rgb(0,0,0);font-size:12pt">Workshop paper notifications: </span><b><span style="font-size:12pt;font-family:calibri,arial,helvetica,sans-serif;background-color:rgba(0,0,0,0)"><font color="#ff0000">August 17, 2020</font></span></b></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="color:rgb(0,0,0);font-size:12pt">Workshop paper camera-ready versions due: </span><b><span style="font-size:12pt;font-family:calibri,arial,helvetica,sans-serif;background-color:rgba(0,0,0,0)"><font color="#ff0000">September 1, 2020</font></span></b></p></li><li dir="ltr" style="margin-left:20px"><p dir="ltr" style="margin-top:0px;margin-bottom:0px;margin-left:0px;padding-left:0px"><span style="color:rgb(0,0,0);font-size:12pt">Workshop: </span><b><span style="font-size:12pt;font-family:calibri,arial,helvetica,sans-serif;background-color:rgba(0,0,0,0)"><font color="#ff0000">September 13-17, 2020</font></span></b></p></li></ul><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt">All deadlines are at 12:00pm CET.</span></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt"><br></span></p><h3 dir="ltr" style="color:rgb(0,0,0)"><div><span style="font-size:12pt">*Publication*</span></div></h3><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt">Articles and abstracts will be published open access in a joint CEUR proceedings volume, as part of the new IAOA series</span><u><span style="font-size:12pt"></span><span style="font-size:12pt"> (</span><span style="font-size:18px;font-family:Roboto"><a href="http://www.google.com/url?q=http%3A%2F%2Fceur-ws.org%2Fiaoa.html&sa=D&sntz=1&usg=AFQjCNF1E7nvgsVj_JlxvD7SwGYxtqbZEA" rel="noopener noreferrer" target="_blank"><span style="color:black;font-size:12pt;font-family:Calibri,Arial,Helvetica,sans-serif">http://ceur-ws.org/iaoa.html</span></a></span><span style="font-size:12pt">)</span></u></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><b><u><span style="font-size:12pt"><br></span></u></b></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><b><span style="font-size:12pt">*Workshop chairs*</span></b><u><span style="font-size:12pt"><br></span></u></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><i><b><span style="font-size:12pt">Sarra </span></b></i><span style="font-size:12pt"><i><b>BEN ABBES</b></i>, Engie, France</span><br></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt"><b><i>Rim Hantach</i></b>, Engie, France</span></p><p dir="ltr" style="color:rgb(0,0,0);margin-top:0px;margin-bottom:0px"><span style="font-size:12pt"><i><b>Philippe Calvez</b></i>, Engie, France</span></p></div></div></div><div class="gmail-adL">
</div></div></div></div></div></div><div class="gmail-gA gmail-gt gmail-acV"><div class="gmail-gB gmail-xu"><div class="gmail-ip gmail-iq"><div id="gmail-:156"><table class="gmail-cf gmail-wS"><tbody><tr><td class="gmail-amq"></td><td class="gmail-amr"><br></td></tr></tbody></table></div></div></div></div><div class="gmail-nH gmail-bkK gmail-nn" style="width:1437px"><div class="gmail-nH"><div class="gmail-nH"><div class="gmail-nH gmail-ar4 gmail-B"><div class="gmail-aeI"><div class="gmail-AO"><div id="gmail-:3" class="gmail-Tm gmail-aeJ" style="height:791px"><div id="gmail-:1" class="gmail-aeF" style="min-height:601px"><div class="gmail-nH"><div class="gmail-nH"><div class="gmail-nH gmail-g gmail-id"><table class="gmail-Bs gmail-nH gmail-iY gmail-bAt" cellpadding="0"><tbody><tr><td class="gmail-Bu gmail-bAn"><div class="gmail-nH gmail-if"><div class="gmail-nH gmail-aHU"><div class="gmail-nH gmail-hx"><div class="gmail-nH"><div class="gmail-h7 gmail-ie gmail-nH gmail-oy8Mbf" tabindex="-1"><div class="gmail-Bk"><div class="gmail-G3 gmail-G2"><div><div id="gmail-:15a"><div class="gmail-gA gmail-gt gmail-acV"><div class="gmail-gB gmail-xu"><div class="gmail-ip gmail-iq"><div id="gmail-:156"><table class="gmail-cf gmail-wS"><tbody><tr><td class="gmail-amr"><br></td></tr></tbody></table></div></div></div></div></div></div></div></div></div></div></div></div><div class="gmail-nH"><div class="gmail-l2 gmail-pfiaof"><div id="gmail-:15i" class="gmail-aeV"><div><div class="gmail-md gmail-mj"><div><span dir="ltr"></span><span dir="ltr"></span></div></div></div></div><div class="gmail-aeU"><div id="gmail-:15j"><div><div class="gmail-ma"> </div></div></div></div><div id="gmail-:15l" class="gmail-ae3"><div><div class="gmail-l6"><span id="gmail-:15e" class="gmail-l8 gmail-LJOhwe" tabindex="0"></span></div></div></div></div></div></div><br></td><td class="gmail-Bu gmail-yM"><br></td><td class="gmail-Bu gmail-y3"><br></td></tr></tbody></table></div></div></div></div></div></div></div></div></div></div></div></div>