The 3rd Special Session on Machine Learning for Natural
Language Processing (ML for NLP)
https://www.icmla-conference.org/icmla22/ML_for_NLP.pdf
As part of The 21th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA-2022)
https://www.icmla-conference.org/icmla22/
December 12-15, 2022, Nassau, The Bahams, 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
● E-mail filtering
● Chatbot
● News generation
● Meeting analysis
● Fact Checking
● 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. 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 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 Submissions.
Paper Publication:
Accepted papers will be published in the ICMLA 2022 conference proceedings (to be published by IEEE).
Important Dates:
Submission Deadline: September 9, 2022
Notification of Acceptance: October 7, 2022
Camera-ready papers & Pre-Registration: October 14, 2022
Special Session Organizers:
Rim Hantach, ENGIE, France
Philippe Calvez, ENGIE, France
Program committee:
Salha Alzahrani, Taif University, Saudi-Arabia
Abdulrahman Alatahhan, Leeds Becket University, UK
Daniel Neagu, University of Bradford, UK
Sara Sarifzadeh, Coventry University, Uk
Xiaorui Jiang, Coventry University, UK
Rafika Boutalbi, Stuttgart University, Germany
Lazhar Labiod, University of Paris Descartes, France
Stanislas Morbieu, Kernix, France
Best regards,
Rim Hantach