<div dir="ltr"><br clear="all"><div dir="ltr"><span><span>Dear colleagues and researchers,</span><span></span></span><div class="gmail_quote"><div dir="ltr"><span><div><div dir="ltr"><span></span><span></span><p><span><span>Please consider submitting a paper for the 2nd International workshop  "<b>Deep Learning meets Ontologies and Natural Language Processing</b>"  which will be held online or in Hersonissos, Greece - June 6th 2021.</span><br></span></p><p><span><br></span></p><span></span><p><span><span><span>** <b>DeepOntoNLP</b> -  Call for Papers ***</span></span></span></p><div><br></div><p><span>Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP) </span><span><a href="https://sites.google.com/view/deepontonlp-eswc2021/" rel="nofollow" target="_blank"><span>https://sites.<span></span>google.com/view/deepontonlp-<span></span>eswc2021</span></a></span></p><span></span><p><span>in conjunction with </span><span><a href="https://2021.eswc-conferences.org/" rel="nofollow" target="_blank"><span>ESWC 2021</span></a></span><span> online or in Hersonissos, Greece</span></p><p><span> </span></p><p><span><span><b><span>*Important dates*</span></b></span><span></span></span></p><span></span><ul><li dir="ltr"><p dir="ltr"><span>Workshop paper submission due: </span><span style="line-height:15.3333px;color:black"><font face="arial, sans-serif"><strike><b>March 1st, 2021</b></strike><span style="color:rgb(255,0,0)"><b> March 14th, 2021</b></span><strike><b><br></b></strike></font></span></p></li><li dir="ltr"><p dir="ltr"><span>Workshop paper notifications: </span><span>March 31st, 2021</span></p></li><li dir="ltr"><p dir="ltr"><span>Workshop paper camera-ready versions due: </span><span>April 9th, 2021</span></p></li><li dir="ltr"><p dir="ltr"><span>Workshop: </span><span><span>June 6th, 2021 (Half-Day)</span></span></p></li></ul><p dir="ltr"><span>All <span>deadlines</span> are 23:59 anywhere on earth (UTC-12).</span></p><p dir="ltr"><span><br></span></p><span></span><p><span><span><b>*Workshop description*</b></span></span><span></span></p><p><span>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.</span><span></span></p><span></span><p><span>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.</span><span></span></p><span></span><p><span>The combination of DL, ontologies and NLP might be beneficial for different tasks:</span><span></span></p><span></span><p><span><span><span>·</span><span>       </span></span></span><span>Deep Learning for Ontologies: ontology population, ontology <span>extension</span>, ontology learning, ontology alignment and integration,</span><span></span></p><span></span><p><span><span><span>·</span><span>       </span></span></span><span>Ontologies
 for Deep Learning: semantic graph embeddings, latent semantic 
representation, hybrid embeddings (symbolic and semantic 
representations),</span><span></span></p><span></span><p><span><span><span>·</span><span>       </span></span></span><span>Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc.</span><span></span></p><span></span><p><span><span><span>·</span><span>       </span></span></span><span><span>NLP
 for Deep Learning: parsing (part-of-speech tagging), tokenization, 
sentence detection, dependency parsing, semantic role labeling, semantic
 dependency parsing, etc.</span></span></p><p><br><span><span></span></span></p><p><span><b><span>*Objective*</span></b></span><span><span></span></span></p><div><span><span><span>This</span><span> </span><span>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 tog</span><span>ether
 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></span></span></div><p><span></span><span></span></p><p><span><span> </span></span></p><p><span><span>We invite the submission of original works that is related -- but are not limited to -- the topics below.</span></span></p><span></span><p><span> </span></p><span></span><p><span><span><b><span>*Topics of interests*</span></b></span><b><span></span></b></span></p><span></span><p><span><span>·<span>       </span></span><span>Construction ontology embeddings</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Ontology-based text classification</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Learning ontology embeddings</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Semantic role labelling</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Ontology reasoning with Deep Neural Networks</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Deep learning for ontological semantic annotations</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Spatial and temporal ontology embeddings</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Ontology alignment and matching based on deep learning models</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Ontology learning from text using deep learning models</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Unsupervised Learning</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Text classification using deep models</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Neural machine translation</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Deep question answering</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Deep text summarization</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>Deep speech recognition</span></span></p><span></span><p><span><span><span>·</span><span>    </span></span><span>and so on.</span></span></p><span></span><p><span><b><span><span>*Submission*</span></span></b><b><span></span></b></span></p><span></span><p dir="ltr"><span><span>The
 workshop is open to submit unpublished work resulting from research 
that presents original scientific results, methodological aspects, 
concepts and approaches. All submissions must be PDF documents written 
in English and formatted according to </span><a href="https://www.google.com/url?q=https%3A%2F%2Fwww.springer.com%2Ffr%2Fcomputer-science%2Flncs%2Fconference-proceedings-guidelines&sa=D&sntz=1&usg=AFQjCNGhadQkou1B6uTwaCrX2p9HjIC9Iw" rel="nofollow" target="_blank"><span>LNCS instructions for authors</span></a><span>. Papers are to be submitted through the </span><a href="https://easychair.org/conferences/?conf=deepontonlp2021" rel="nofollow" target="_blank"><span>Easychair Conference Management System</span></a><span>.</span></span></p><p dir="ltr"><span><span>We welcome the following types of contributions:</span></span></p><ul><li dir="ltr"><p dir="ltr"><span><span>Full research pa</span><span>pers (8-10 pages): Finished or consolidated R&D works, to be included in one of the Workshop topics</span></span></p></li><li dir="ltr"><p dir="ltr"><span><span>Short papers (4-6 pages): Ongoing works with relevant preliminary results, opened to discussion.</span></span></p></li></ul><p dir="ltr"><span><span>At
 least one author of each accepted paper must register for the workshop,
 in order to present the paper, there, and to the conference. For 
further instructions please refer to the </span><a href="https://www.google.com/url?q=https%3A%2F%2F2021.eswc-conferences.org%2F&sa=D&sntz=1&usg=AFQjCNEOdqEjLIkWyjAg16Zm5dm7MZ9kyg" rel="nofollow" target="_blank"><span>ESWC 2021</span></a><span> page.</span></span></p><p><span><span></span><span></span></span></p><span></span><span></span><span><span></span></span><span></span><p><span> </span></p><span></span><p><span><span><b><span>*Publication*</span></b></span><span></span></span></p><span></span><p dir="ltr"><span>The best papers from this workshop may be included in the supplementary proceedings of ESWC 2021.</span></p><p><span><u><span></span></u></span></p><span></span><p><span> </span></p><span></span><p><span><span><span><b><span>*Workshop chairs*</span></b></span></span></span></p><span><span></span></span><span><span></span></span><p><span><span><b><span>Sarra BEN ABBES</span></b><span>, Engie, France</span></span></span></p><span><span></span></span><p><span><span><b><span>Rim HANTACH</span></b><span>, Engie, France</span></span></span></p><span><span></span></span><p><span><span><b><span>Philippe CALVEZ</span></b><span>, Engie, France</span></span></span></p><p><span><span><span><br></span></span></span></p><p><span><b><span><span><span>*Program Committee*</span></span></span></b></span></p><p><b><span><span><span><br></span></span></span></b></p><span>Nada Mimouni, CNAM, France<br>Lynda Temal, Engie, France<br>Davide Buscaldi, LIPN, Université Sorbonne Paris Nord, France<br>Valentina Janev, Mihajlo Pupin Institute, Serbia<br>Mohamed Hedi Karray, LGP-INP-ENIT, Université de Toulouse, France<br>Efstratios Kontopoulos, Catalink Ltd, Cyprus<br>Wei Hu, Nanjing University, China<br>Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico<br>Linda Elmhadhbi, Université de Toulouse, France</span></div><div dir="ltr"><span><span>Amir Laadhar</span><span style="font-weight:700">, </span></span><span>Aalborg University, Denmark</span></div><div><span>Yannis Haralambous, IMT Atlantique, France</span></div></div></span></div></div></div></div>