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<div style="font-family:Calibri,Arial,Helvetica,sans-serif; font-size:12pt; color:rgb(0,0,0)">
<div>Dear colleagues and researchers, <br>
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<div><br>
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Please consider submitting a paper for the 1st International workshop "Deep Learning meets Ontologies and Natural Language Processing" which will be held in
<span>Bozen-Bolzano, Italy</span> from September 13 to September 17, 2020.<br>
<div><br>
</div>
<div><br>
</div>
<div>** <b>DeepOntoNLP</b> - <span>First</span> <span>Call</span> for Papers ***</div>
<div><b><br>
</b></div>
<div>Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP)<b><a href="https://www.dl-onto-nlp-fois2020.ml/" target="_blank" rel="noopener noreferrer"><span style="font-family:Arial,Helvetica,sans-serif; font-size:14pt; color:rgb(237,92,87)">
https://www.dl-onto-nlp-fois2020.ml/</span></a></b><br>
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<div><br>
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<div>Part of The Joint Ontology Workshops JOWO 2020 at <span style="text-decoration:underline">
<a href="https://fois2020.inf.unibz.it/" target="_blank" rel="noopener noreferrer" title="https://fois2020.inf.unibz.it/">FOIS 2020</a></span><span> in</span><span> Bozen-Bolzano, Italy</span></div>
<div><span><em><br>
</em></span></div>
<div><b>*<span>Workshop</span> description*</b></div>
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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>
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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.
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The combination of DL, ontologies and NLP might be beneficial for different tasks:
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Deep Learning for Ontologies: ontology population, ontology extension, ontology learning, ontology alignment and integration,
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Ontologies for Deep Learning: semantic graph embeddings, latent semantic representation, hybrid embeddings (symbolic and semantic representations),</p>
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Deep Learning for NLP: summarization, translation, named entity recognition, question answering, document classification, etc.
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NLP for Deep Learning: parsing (part-of-speech tagging), tokenization, sentence detection, dependency parsing, semantic role labeling, semantic dependency parsing, etc.</p>
</li></ul>
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<div><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">*Objective*
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">This</span><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"></span><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">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>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">We invite the submission of original works that is related -- but are not limited to -- the topics below.</span></p>
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<div><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">*Topics of interests*</span><u><span style="font-weight:normal"><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"></span></span></u></div>
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<li dir="ltr" style="margin-left:20px"><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Construction ontology embeddings</span></li><li dir="ltr" style="margin-left:20px">
<p dir="ltr" style="margin-top: 0px; margin-bottom: 0px;margin-top:0px; margin-bottom:0px; margin-top:0px; margin-bottom:0px; margin-top:0px; margin-bottom:0px; margin-top:0px; margin-bottom:0px; text-indent:0; margin-top:0; margin-bottom:0; margin-left:0; padding-left:0">
<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Ontology-based text classification</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Learning ontology embeddings</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Semantic role labelling</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Ontology reasoning with Deep Neural Networks</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Deep learning for ontological semantic annotations</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Spatial and temporal ontology embeddings</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Ontology alignment and matching based on deep learning models</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Ontology learning from text using deep learning models</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Unsupervised Learning</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Text classification using deep models</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Neural machine translation</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Deep question answering</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Deep text summarization</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Deep speech recognition</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">and so on.</span></p>
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<div><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">*Su</span><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">bmission*
</span></div>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">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" target="_blank" rel="noopener noreferrer" title="https://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/"><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">(</span></a><a href="https://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/" target="_blank" rel="noopener noreferrer">downloadable
here</a>)<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">,
</span></u><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">prepared in PDF format and submitted via the workshop's</span><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"></span><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"><a href="https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$" target="_blank" rel="noopener noreferrer" title="https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$">
EasyChair</a></span><a href="https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$" target="_blank" rel="noopener noreferrer"><u><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"></span></u></a><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">
submission pages.</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"><br>
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<div><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">*Important dates*
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Workshop paper submission due:
</span><span style="color:rgb(237,92,87); font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"><b>June 29, 2020</b></span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Workshop paper notifications:
</span><b><span style="color:rgb(237,92,87); font-size:12pt; font-family:calibri,arial,helvetica,sans-serif; background-color:rgba(0,0,0,0)">July 27, 2020</span></b></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Workshop paper camera-ready versions due:
</span><b><span style="color:rgb(237,92,87); font-size:12pt; font-family:calibri,arial,helvetica,sans-serif; background-color:rgba(0,0,0,0)">August 17, 2020</span></b></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Workshop:
</span><b><span style="color:rgb(237,92,87); font-size:12pt; font-family:calibri,arial,helvetica,sans-serif; background-color:rgba(0,0,0,0)">September 13-17, 2020</span></b></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">All deadlines are at 12:00pm CET.</span></p>
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<div><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">*Publication*
</span></div>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">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="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"></span><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">
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<b><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">*Workshop chairs*</span></b><u><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"><br>
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<i><b><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif">Sarra
</span></b></i><span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"><i><b>BEN ABBES</b></i>, Engie, France</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"><b><i>Rim Hantach</i></b>, Engie, France</span></p>
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<span style="color:black; font-size:12pt; font-family:Calibri,Arial,Helvetica,sans-serif"><i><b>Philippe Calvez</b></i>, Engie, France</span></p>
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