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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 Second International Workshop on Advances in Natural
Language Processing (ANLP 2018) <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 style="font-size:12pt;font-family:"Times New Roman",serif"><a href="http://emergingtechnet.org/ANLP2018/default.php">http://emergingtechnet.org/ANLP2018/default.php</a><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"><a href="http://emergingtechnet.org/SNAMS2018/index.php"><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(41,145,214)">The Fifth International Conference on Social
Networks Analysis, Management and Security(SNAMS-2018)</span></b></a><b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:rgb(0,0,64)"> <br>
<br>
Valencia, Spain. October 15-18, 2018</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif">
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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: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="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)">Topics of interest </span></b><b><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif">============== <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>
<ul style="margin-bottom:0in" type="disc">
<li 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">Morphological analysis. <span></span></span></li>
<li 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">Stemming, Tokenization, segmentation, chunking,
parsing, POS. <span></span></span></li>
<li 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">Information retrieval and extraction. <span></span></span></li>
<li 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">Named Entity Recognition and Keyword extraction. <span></span></span></li>
<li 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">Word embedding models. <span></span></span></li>
<li 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">Text summarization and compression. <span></span></span></li>
<li 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">Event extraction and semantic role labeling. <span></span></span></li>
<li 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">Sentiment analysis and classification. <span></span></span></li>
<li 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">Dialectal modeling. <span></span></span></li>
<li 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">Machine translation. <span></span></span></li>
<li 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">Deep learning applications. <span></span></span></li>
<li 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">Speech recognition, synthesis, and speaker
identification. <span></span></span></li>
<li 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">NLP (annotated) resources such as dictionaries,
thesauri, lexicons, ontologies, datasets, etc. <span></span></span></li>
<li 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">Applications and technologies of NLP. <span></span></span></li>
</ul>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;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="_submission"><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
=============<span></span></span></a></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;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="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;font-size:11pt;font-family:"Calibri",sans-serif"><span><span style="font-size:12pt;font-family:"Times New Roman",serif"><span> </span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;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"><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="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;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=anlp2018"><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="margin:0in 0in 0.0001pt;text-align:justify;line-height:normal;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 SNAMS
conference proceedings and will be submitted for inclusion in IEEE Xplore
Digital Library. <span></span></span></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;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="_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><b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:red">
July 31, 2018</span></b><span style="font-size:12pt;font-family:"Times New Roman",serif;color:red"> </span><span style="font-size:12pt;font-family:"Times New Roman",serif"><br>
<b>Notification of Decision:</b> August 25th, 2018<br>
<b>Camera-Ready and Registration :</b> September 5th, 2018<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">All
questions about submissions should be emailed to: <a href="mailto:emergingtechnetwork@gmail.com">emergingtechnetwork@gmail.com</a><span></span></span></p>
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