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.
Topics of interest
are encouraged to submit their original work, which is not submitted
elsewhere, to this workshop. The topics of the workshop include but not
Stemming, Tokenization, segmentation, chunking, parsing, POS.
Information retrieval and extraction.
Named Entity Recognition and Keyword extraction.
Word embedding models.
Text summarization and compression.
Event extraction and semantic role labeling.
Sentiment analysis and classification.
Deep learning applications.
Speech recognition, synthesis, and speaker identification.
NLP (annotated) resources such as dictionaries, thesauri, lexicons, ontologies, datasets, etc.
Applications and technologies of NLP.
Paper Submission :
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.
IEEE Computer Society Proceedings Author Guidelines are available at: IEEE Guidelines Link
Papers should be submitted as PDF files via the EasyChair: EasyChair Link
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.
Important Dates :
Full Paper Submission: July 15, 2018
Notification of Decision: August 25th, 2018
Camera-Ready and Registration : September 5th, 2018
All questions about submissions should be emailed to: [log in to unmask]