[agents] [CFP] Special Session on Machine Learning for Natural language Processing at ICMLA 2020

[Rim Hantach]

*The **1st** Special Session on **Machine Learning for Natural*

*Language Processing** (**ML for NLP**)*



*https://www.icmla-conference.org/icmla20/ss/SS-7.pdf
<https://www.icmla-conference.org/icmla20/ss/SS-7.pdf>*





*As part of The 19th IEEE International Conference on Machine Learning and
Applications (IEEE ICMLA-2020)*



*https://www.icmla <https://www.icmla-conference.org/icmla19/>-
<https://www.icmla-conference.org/icmla19/>conference.org/icmla20/
<https://www.icmla-conference.org/icmla20/>
<https://www.icmla-conference.org/icmla19/>*



December 14-17, 2020, Miami, Florida, USA



*Context:*

Machine learning (ML) has become an essential tool for natural language
processing, and has emerged in different NLP application scenarios, such as
sentiment analysis, document classification, text summarization, speech
recognition, etc.  Despite the success of ML algorithms, several existing
methods are challenged by the input data, which are noisy, heterogeneous,
sparse and high dimensional. From this point of view, recent ML techniques
based on deep learning, reinforcement learning, few-shot learning, etc.,
have shown an improvement in recent years in solving challenging NLP
problems.


Scope

This session invites submissions with high-quality works that are related –
but are not limited to – the topics below:

●      Deep learning for NLP

●      Reinforcement Learning for NLP

●      Unsupervised Learning for NLP

●      Automatic machine translation

●      Automatic document summarization

●      Text classification

●      Text detection and recognition from images

●      Question Answering systems

●      Transfer Learning for NLP

●      Active Learning for NLP

●      Speaker identification

●      Speech recognition

●      Speech to Text

●      Text generation

●      Sentiment analysis

●      Real-life and industrially relevant NLP applications

o   E-mail filtering

o   Chatbot

o   News generation

o   Meeting analysis

o   Fact Checking

o   CVs analysis and classification






Submission Guidelines and Instructions

Papers submitted for reviewing should conform to IEEE specifications.
Manuscript templates can be downloaded from IEEE website
<http://www.ieee.org/conferences_events/conferences/publishing/templates.html>
.
<http://www.ieee.org/conferences_events/conferences/publishing/templates.html>
 *The maximum length of papers is 8 pages.* All the papers will go through
double-blind peer review process. *Authors’ names and affiliations should
not appear in the submitted paper*. Authors’ prior work should be cited in
the third person. Authors should also avoid revealing their identities
and/or institutions in the text, figures, links, etc.



Papers must be submitted via the CTM System
<https://cmt3.research.microsoft.com/ICMLA2020> by selecting the track
“Special Session on Machine Learning for Natural Language Processing”. All
accepted papers must be presented by one of the authors, who must register.
Detailed instructions for submitting papers can be found at How to Submit
<http://www.icmla-conference.org/icmla20/howtosubmit.html>
<http://www.icmla-conference.org/icmla19/howtosubmit.html>.



*Paper Publication:*

Accepted papers will be published in the ICMLA 2020 conference proceedings
(to be published by IEEE).


*Important Dates:*

*Submission Deadline: August 6, 2020 *

Notification of Acceptance: September 4, 2020

Camera-ready papers & Pre-Registration: October 1, 2020


Special Session Organizers

Rim Hantach, ENGIE, France

Vasile Palade, Coventry University, UK

Sarra Ben Abbès, ENGIE, France

Philippe Calvez, ENGIE, France



*Program committee*

Juan Velasquez, University of Chile, Chile

Salha Alzahrani, Taif University, Saudi-Arabia

Ariel Ruiz-Garcia, Arms Ltd, UK

Mark Elshaw, Coventry University, UK

Abdulrahman Alatahhan, Leeds Becket University, UK

Ibrahim Almakky, Coventry University, UK

Khan Muhammad, Sejong University, South-Korea

Daniel Neagu, University of Bradford, UK

Sara Sarifzadeh, Coventry University, Uk

Rafika Boutalbi, Trinov, France

Lazhar Labiod, University of Paris Descartes, France

Stanislas Morbieu, Kernix, France

Loïc Vial, University of Grenoble, France
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