<div dir="ltr"><p class="MsoNormal" style="margin:0cm 0cm 12pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">Dear colleagues and researchers,</span></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif;font-size:12pt;text-align:center">Please consider submitting a paper for the 1st International workshop on
"Deep Learning for Question Answering" which will be held online
- November 19-24, 2021.</span></p><p class="MsoNormal" style="text-align:center;margin:0cm 0cm 12pt;font-family:Calibri,sans-serif"><font size="6"><b><span style="font-family:Arial,sans-serif" lang="EN-US"><font color="#a64d79">DLQA: </font></span></b><b><span style="font-family:Arial,sans-serif" lang="EN-US"><font color="#a64d79">Deep
Learning for Question Answering</font></span></b></font></p><p class="MsoNormal" style="text-align:center;margin:0cm 0cm 12pt;font-family:Calibri,sans-serif"><font size="4"><span style="font-family:"Times New Roman",serif">1st International Workshop, </span><span style="font-family:"Times New Roman",serif">in </span>conjunction<span style="font-family:"Times New Roman",serif"> with </span><a href="https://kgswc.org/" style="font-family:"Times New Roman",serif" target="_blank">KGSWC 2021</a></font></p><p class="MsoNormal" style="text-align:center;margin:0cm 0cm 12pt;font-family:Calibri,sans-serif"><font size="4">November 19- 24, 2021 - Online</font></p><p class="MsoNormal" style="text-align:center;margin:0cm 0cm 12pt;font-size:12pt;font-family:Calibri,sans-serif"><b><a href="https://kgswc.org/iwdlq2021/" target="_blank">https://kgswc.org/iwdlq2021/</a></b><br></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-family:"Times New Roman",serif" lang="EN-US">Important dates:</span></b><span style="font-family:"Times New Roman",serif" lang="EN-US"><br>
• Workshop paper submission due: <span style="background:yellow none repeat scroll 0% 0%">October 01, 2021</span><br>
• Workshop paper notifications: October 23, 2021<br>
• Workshop paper camera-ready versions due: November 02, 2021<br>
• Workshop: November 19-24, 2021 (half-day)</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US"> </span></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;font-size:12pt;font-family:Calibri,sans-serif">
<span style="font-size:12pt;font-family:"Times New Roman",serif" lang="EN-US">All deadlines are 23:59
anywhere on earth (UTC-12).</span><b><br></b></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Context of the workshop:</span></b></p><p style="margin:0cm 0cm 7.5pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-US">Question Answering System (QAS) is an important area
in Artificial Intelligence.<br style="box-sizing:border-box">
Generating automatic response is a fastidious and time-consuming task for there
exists only some very general approaches to understand the intent of users. Question
Answering (QA) is applied in many domain applications such as medical, finance,
e-commerce, etc. Given a list of documents, a QAS can provide the right answer to the query
pose in natural language. It combines natural language processing (NLP), information
retrieval (IR) and knowledge representation and reasoning (KRR) as a relevant component
for this process. The general process of QA is composed of different steps: (i)
user query, (ii) question analysis (simple or complex query, open or closed domain,
linguistic layer, semantic layer, etc), (iii) answer retrieval, and (iv) answer extraction from a
set of candidate ones. All these steps are important to answer correctly,
precisely and briefly to the user native language question. The answer can refer to a term, a sentence, an
image, an audio, a video or to the full textual document.</span></p><p class="MsoNormal" style="margin:0cm 0cm 12pt;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif" lang="EN-US">
</span></p><p style="margin:0cm 0cm 7.5pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;box-sizing:border-box;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-US">Recent
Deep Learning approaches and information retrieval are implemented in
order to reason over the questions and its links with the corresponding
response. Modern
NLP techniques make it possible for computers to read and interpret
text, hear and
understand speech, measure sentiment, and determine which parts in a
document are
important. Another important aspect of QAS is the integration of
knowledge graphs (KGs) as
a new dimension to provide a concise answer issued from the KG. KG is
graph-based
data model that structure and store real-world entities (abstract
concepts) and
their relationships (hierarchical and associative) in a graph. The KG is
the
most suitable and beneficial way to solve many challenging problems
related to information domain.</span></p><p style="margin:0cm 0cm 7.5pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><b><span style="font-size:14pt" lang="EN-US">Objective:</span></b></p><p style="margin:0cm 0cm 7.5pt;text-align:justify;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><span lang="EN-US">The first edition of this workshop aims at
highlighting recent and future advances on<br style="box-sizing:border-box">
question answering systems over structured semantic and unstructured
textual
data and to demonstrate the role of deep learning algorithms to enrich
this process. In addition to that, 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 Question Answering approaches.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Topics of interests</span></b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">: </span><span style="font-family:"Times New Roman",serif" lang="EN-US"><br>
• Question answering over Linked Data<br>
• Knowledge Graphs for Question Answering<br>
• Complex Question Answering over texts and linked data<br>
• Reasoning for Complex Question Answering<br>
• Natural Language Processing based question answering<br>
• Hybrid text and knowledge graph reasoning<br>
• SPARQL query pattern generation<br>
• Natural language querying of RDF exposed as Linked Data<br>
• Ontology-based query answering<br>
• Visual Question Answering<br>
• Image question answering<br>
• Audio and Speech Question Answering<br>
• Video Question Answering<br>
• Datasets combining structured and unstructured knowledge<br>
• Applications of question answering<br>
• and so on.</span><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US"></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US"><br></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Submission:</span></b></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">The workshop is open to submit unpublished work
resulting from research that presents original scientific results,
methodological aspects, concepts and approaches. All submissions are not
anonymous and must be PDF documents written in English and formatted using the
following style files: </span><span style="color:rgb(5,99,193);text-decoration-line:underline"><span style="color:rgb(68,114,196)" lang="EN-US"><a href="http://www.springer.com/%20computer/lncs/lncs+authors?SGWID=0-40209-0-0-0?SGWID=0-40209-0-0-0" style="color:rgb(5,99,193)" target="_blank"><span style="font-family:"Times New Roman",serif;color:rgb(68,114,196)">KGSWC2021_authors_kit</span></a></span></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">Papers are to be submitted through the
workshop's </span><u><span style="font-family:"Times New Roman",serif"><a href="https://easychair.org/conferences/?conf=iwdlq2021" style="color:rgb(5,99,193)" target="_blank"><span lang="EN-US">EasyChair</span></a></span></u><span style="font-family:"Times New Roman",serif" lang="EN-US"> submission page.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">We welcome the following types of contributions:</span></p><ul style="margin-top:0cm;margin-bottom:0cm" type="square"><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-family:"Times New Roman",serif" lang="EN-US">Full papers</span></b><span style="font-family:"Times New Roman",serif" lang="EN-US"> (9-12 pages):
Finished or consolidated R&D works, to be included in one of the
Workshop topics.</span></li><li class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-family:"Times New Roman",serif" lang="EN-US">Short papers</span></b><span style="font-family:"Times New Roman",serif" lang="EN-US"> (6-8 pages): Ongoing
works with relevant preliminary results, opened to discussion. </span><br><span style="font-family:"Times New Roman",serif" lang="EN-US">Accepted papers are planned to publish with Springer Proceeding (Approval Pending)</span></li></ul><div><br></div><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">
</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">At least one author of each accepted paper must
register for the workshop, in order to present the paper. For further
instructions, please refer to the </span><u><span style="font-family:"Times New Roman",serif"><a href="https://kgswc.org/" style="color:rgb(5,99,193)" target="_blank"><span lang="EN-US">KGSWC 2021</span></a></span></u><span style="font-family:"Times New Roman",serif" lang="EN-US"> page.</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US"><br></span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><b><span style="font-size:14pt;font-family:"Times New Roman",serif" lang="EN-US">Workshop chairs:<br>
</span></b><span style="font-family:"Times New Roman",serif" lang="EN-US">Sarra Ben Abbès, Engie, France</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">Rim Hantach, Engie, France</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">Philippe Calvez, Engie, France</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><span style="font-family:"Times New Roman",serif" lang="EN-US">
</span></p><p class="MsoNormal" style="margin:0cm;font-size:12pt;font-family:Calibri,sans-serif"><br><br></p></div>