[DL] [Extended deadline] [online workshop] Deep Learning meets Ontologies and Natural Language Processing workshop at FOIS 2020

[Rim Hantach]

*Extended deadline: 13 July 2020*


Deep Learning meets Ontologies and Natural Language Processing
(DeepOntoNLP)* https://www.dl-onto-nlp-fois2020.ml/
<https://www.dl-onto-nlp-fois2020.ml/>*

Part of The Joint Ontology Workshops JOWO 2020 at *FOIS 2020*
<https://fois2020.inf.unibz.it/> in Bozen-Bolzano, Italy

***********************NEWS: ONLINE WORKSHOP********************************

Due to the current international health situation, for the safety of
everyone, we decided to run the *DeepOntoNLP 2020 workshop* as an online
workshop. More information on the options for presentation will be provided
soon.
 ***************************************************************************************

**Workshop description**

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.

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.

The combination of DL, ontologies and NLP might be beneficial for different
tasks:

   -

   Deep Learning for Ontologies: ontology population, ontology extension,
   ontology learning, ontology alignment and integration,
   -

   Ontologies for Deep Learning: semantic graph embeddings, latent semantic
   representation, hybrid embeddings (symbolic and semantic representations),
   -

   Deep Learning for NLP: summarization, translation, named entity
   recognition, question answering, document classification, etc.
   -

   NLP for Deep Learning: parsing (part-of-speech tagging), tokenization,
   sentence detection, dependency parsing, semantic role labeling, semantic
   dependency parsing, etc.

*Objective*

This 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.

We invite the submission of original works that is related -- but are not
limited to -- the topics below.


*Topics of interests*

   - Construction ontology embeddings
   -

   Ontology-based text classification
   -

   Learning ontology embeddings
   -

   Semantic role labelling
   -

   Ontology reasoning with Deep Neural Networks
   -

   Deep learning for ontological semantic annotations
   -

   Spatial and temporal ontology embeddings
   -

   Ontology alignment and matching based on deep learning models
   -

   Ontology learning from text using deep learning models
   -

   Unsupervised Learning
   -

   Text classification using deep models
   -

   Neural machine translation
   -

   Deep question answering
   -

   Deep text summarization
   -

   Deep speech recognition
   -

   and so on.

*Submission*

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, *(
<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>downloadable
here
<https://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/>),
*prepared
in PDF format and submitted via the workshop's EasyChair
<https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$>
<https://urldefense.com/v3/__https://easychair.org/conferences/?conf=jowo2020__;!!La4veWw!mCeDyY9KpQmCm1laI1M0AcvoVjiIhd055mIsRDcSQWv9zJd9a1D5kpRHBTqtgdtnMmrRV4WJ25Y$>
submission
pages.


*Important dates*

   -

   Workshop paper submission due: June 29, 2020 *July 13, 2020*
   -

   Workshop paper notifications: *August 3, 2020*
   -

   Workshop paper camera-ready versions due: *September 1, 2020*
   -

   Workshop: *September 13-17, 2020*

All deadlines are at 12:00pm CET.


*Publication*

Articles and abstracts will be published open access in a joint CEUR
proceedings volume, as part of the new IAOA series*
(http://ceur-ws.org/iaoa.html
<http://www.google.com/url?q=http%3A%2F%2Fceur-ws.org%2Fiaoa.html&sa=D&sntz=1&usg=AFQjCNF1E7nvgsVj_JlxvD7SwGYxtqbZEA>)*


**Workshop chairs**

*Sarra **BEN ABBES*, Engie, France

*Rim Hantach*, Engie, France

*Philippe Calvez*, Engie, France
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