Bibliographie
Deep Learning meets Ontologies and Natural Language Processing
(DeepOntoNLP)* 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.
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**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, *(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
submission pages (https://easychair.org/my/conference?conf=jowo2020#).
*Important dates*
– Workshop paper submission due : June 29, 2020 *July 31, 2020*
– Workshop paper notifications : *August 17, 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)*
**Workshop chairs**
*Sarra **BEN ABBES*, Engie, France
*Rim Hantach*, Engie, France
*Philippe Calvez*, Engie, France