IEEE-MLNLP 2021 : 2021 4th International Conference on Machine Learning and Natural Language Processing (MLNLP 2021)
Call For Papers
2021 4th International Conference on Machine Learning and Natural Language Processing (MLNLP 2021)
Venue: Sanya, China
Conference Date: Dec. 27-29, 2021
2021 4th International Conference on Machine Learning and Natural Language Processing (MLNLP 2021) will be held in Sanya, China during Dec. 27-29, 2021. It is sponsored by The International Society for Applied Computing (ISAC) and The Technical Institute for Engineers (T.I.E.).
During the upcoming conference, the invited renowned professors will share with us the recent innovations in the fields of Machine Learning and Natural Language Processing. The conference will mainly feature on keynote speeches as well as peer-reviewed paper presentations. In addition, social program or academic visit will be arranged to encourage communication, discussion or cooperation among the researchers in this field.
We invite submissions of papers presenting an original high-quality research and development for the conference. All papers must be written in English and will be peer-reviewed by technical committees of the Conference and all accepted papers will be published in the conference proceedings.
Keynote Speaker I:
Prof. Zhongxiang Shen, Nanyang Technological University, Singapore (IEEE Fellow)
Keynote Speaker II: Prof. Yutaka Ishibashi, Nagoya Institute of Technology, Japan (IEEE Senior Member)
Keynote Speaker III: Prof. Long Cheng, North China Electric Power University, China (IEEE Senior Member)
Keynote Speaker IV:
Prof. Jie Yang, Shanghai Jiao Tong University, China
Plenary Speaker I:
Prof. Muhammad Imran, University of Glasgow, UK (IET Fellow/ IEEE Senior Member)
Invited Speaker I:
Prof. Kisalaya Chakrabarti, Haldia Institute of Technology, India (IEEE Senior Member)
*Call for papers:
Deep and Reinforcement Learning
Machine Learning for Network Slicing Optimization
Machine Learning for 5G system
Machine Learning for User Behavior Prediction
New Innovative Machine Learning Methods
Optimization of Machine Learning Methods
Performance Analysis of Machine Learning Algorithms
Experimental evaluations of machine learning
Machine learning for multimedia
Machine learning for Internet of Things
Machine learning for security and protection
Distributed and decentralized machine learning algorithms
Natural Language Processing
Phonetics, phonology, and morphology
Syntax, semantics, discourse, pragmatics, dialogue, and lexicon
Mathematical, statistical, machine learning and deep learning models
Word and sentence representation
Language resources and corpora
Electronic dictionaries, terminologies and ontologies
Semantic role labelling
(for more topics: http://www.mlnlp2021.net/topic.html )
*Publication and indexing:
★MLNLP 2021 all accepted and registered papers will be published in the conference proceedings and will be indexed by EI Compendex, Scopus, INSPEC, EI's Engineering Information Index, ISI Thomson's Scientific and Technical Proceedings, ISTP/ISI Proceedings, and Current Contents on Diskette.
★MLNLP 2020 Conference Proceedings have been published by ACM (ISBN: 978-1-4503-8811-5) and indexed by EI Compendex and Scopus successfully within 1 month after publication! (See details)
★MLNLP 2019 Conference Proceedings have been published by ACM (ISBN: 978-1-4503-7261-9) and indexed by EI Compendex and Scopus successfully within 1 month after publication! (See details)
★MLNLP 2018 Conference Proceedings have been published by ACM (ISBN: 978-1-4503-6625-0) and indexed by EI Compendex and Scopus successfully within 1 month after publication! (See details)
1.Online Submission System: https://cmt3.research.microsoft.com/MLNLP2021
2.Submission Email: firstname.lastname@example.org
Submission guidelines: http://www.mlnlp2021.net/submission.html
*Join the conference as: Authors: Authors are expected to submit full papers to the submission system for further review by our Technical Committees. All accepted papers after proper registration and presentation in the conference will be published and submitted for indexing.
Presenters Only: The presenters are expected to submit abstracts only for presentation in the conference without paper publication in the conference proceedings.
Listeners: Listeners are expected to attend the conference without paper presentation or publication.
PhD-holders in the research fields of Machine Learning and Natural Language Processing are welcome to be our reviewers and a certificate can be issued.
Sponsors/Partners: If you are interested in cooperating with us, such as sponsoring or being a partner of MLNLP 2021, you are welcome to contact us at: email@example.com
Conference Secretary: Ms. Kathy Tang
Tel: +852 5319 3049
If you have any question or request about our conference, no matter regarding submission, registration, participation or any further question, please send email to us and you will get feedback within 24 hours.