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<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">The Third International Workshop on
Advances in Natural Language Processing <br>
(ANLP 2019) <span></span></span></b></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><span lang="EN-GB"><a href="http://emergingtechnet.org/ANLP2019/default.php" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span style="font-size:12pt;font-family:"Times New Roman",serif" lang="EN-US">http://emergingtechnet.org/ANLP2019/default.php</span></a></span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span></span></span></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">in conjunction with</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif"><span></span></span></p>
<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><span lang="EN-GB"><a href="http://emergingtechnet.org/SNAMS2019/index.php" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(41,145,214)" lang="EN-US">The Sixth
International Conference on Social Networks Analysis, Management and
Security(SNAMS-2019)</span></b></a></span><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)"> <br>
<br>
Granada, Spain. October 22-25, 2019</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></p>
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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></p>
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<p class="MsoNormal" style="text-align:center;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif" align="center"><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></p>
<p class="MsoNormal" style="text-align:justify;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">The workshop aims at demonstrating recent Advances in
Natural Language Processing (ANLP) by bringing together leading academicians,
scientists, researchers and practitioners to discuss their findings in NLP.
This area of research has been constantly gaining momentum and attention over
the past few years as textual material become available in abundance (social
networks and web content) and advanced computational power become accessible.
This resulted in an interesting array of practical applications. This is
evident in the number of conferences, conference tracks, workshops, special
issues of journals dedicated to or issues related to ANLP. Another indication
of this growing interest is the surge of papers, books, and other forms of
publications related to NLP. Noticeably, deep learning is dominating NLP as it
did to other areas of artificial intelligence. Deep learning is the modern
application of earlier neural network technology but with multiple layers that
made possible with modern computing technology. The application of deep
learning technology to NLP is progressing at a fast pace, and it is anticipated
that we will see many exciting new discoveries here in the next few years.
Therefore, the objective of this workshop is to present current and future advances
in NLP. Authors are encouraged to submit their original work, which is not
submitted elsewhere, to this workshop. <span></span></span></p>
<p class="MsoNormal" style="text-align:justify;line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Proceedings of the workshops will be published by the SNAMS
proceedings and will be submitted for inclusion in the IEEE-Xplore and the IEEE
Computer Society (CSDL) digital libraries. <span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
<b><span style="color:rgb(0,0,64)">Topics of interest </span><br>
</b>============== <br>
Authors are encouraged to submit their original work, which is not submitted
elsewhere, to this workshop. The topics of the workshop include but not limited
to:<span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Morphological
analysis. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Stemming,
Tokenization, segmentation, chunking, parsing, POS. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Information
retrieval and extraction. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Named Entity
Recognition and Keyword extraction. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Word
embedding models. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Text
summarization and compression. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Event
extraction and semantic role labeling. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Sentiment
analysis and classification. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Dialectal
modeling. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Machine
translation. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Deep
learning applications. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Speech
recognition, synthesis, and speaker identification. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">NLP
(annotated) resources such as dictionaries, thesauri, lexicons, ontologies,
datasets, etc. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt 1in;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:10pt;font-family:Symbol"><span>·<span style="font:7pt "Times New Roman"">
</span></span></span><span style="font-size:12pt;font-family:"Times New Roman",serif">Applications
and technologies of NLP. <span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">Paper
Submission : </span></b><a name="m_-3366086751252025680_m_3101003006968858089__submission"><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
=============<span></span></span></a></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span><span style="font-size:12pt;font-family:"Times New Roman",serif">Authors are requested to submit
papers reporting original research results and experience. The page limit for
full papers is 6 pages. Papers should be prepared using IEEE two-column
template. <span></span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span><span style="font-size:12pt;font-family:"Times New Roman",serif">IEEE Computer Society Proceedings
Author Guidelines are available at: </span></span><a href="http://www.computer.org/portal/web/cscps/submission" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span><span style="font-size:12pt;font-family:"Times New Roman",serif;color:blue">IEEE Guidelines Link</span></span></a><span><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span><span style="font-size:12pt;font-family:"Times New Roman",serif">Papers should be submitted as PDF
files via the EasyChair: </span></span><a href="https://easychair.org/conferences/?conf=anlp2019" style="color:rgb(5,99,193);text-decoration:underline" target="_blank"><span><span style="font-size:12pt;font-family:"Times New Roman",serif;color:blue">EasyChair
Link</span></span></a><span></span><span style="font-size:12pt;font-family:"Times New Roman",serif"> <span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;font-family:"Times New Roman",serif">Submitted
research papers may not overlap with papers that have already been published or
that are simultaneously submitted to a journal or a conference. All papers
accepted for this conference are peer-reviewed and are to be published in the
conference proceedings by the IEEE Computer Society Conference Publishing
Service (CPS), and indexed by IEEE Xplore Digital Library <span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)">Important
Dates : </span></b><a name="m_-3366086751252025680_m_3101003006968858089__dates"></a><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
=============<span></span></span></p>
<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:red">Full
Paper Submission:</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:red">
22 July, 2019 </span><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
<b>Notification of Decision:</b> 20 August, 2019<br>
<b>Camera-Ready and Registration :</b> 5th September, 2019<span></span></span></p>
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<p class="MsoNormal" style="line-height:normal;margin:0in 0in 8pt;font-size:11pt;font-family:"Calibri",sans-serif"><span lang="EN-GB">Please send any inquiry to the Emerging
Tech. Network Team at: <a href="mailto:emergingtechnetwork@gmail.com" style="color:rgb(5,99,193);text-decoration:underline" target="_blank">emergingtechnetwork@gmail.com</a></span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:"Calibri",sans-serif"><span style="font-size:12pt;line-height:107%;font-family:"Times New Roman",serif"><span> </span></span></p>
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