MLNLP 2023 - 2023 6th International Conference on Machine Learning and Natural Language Processing (MLNLP 2023)

2023 6th International Conference on Machine Learning and Natural Language Processing (MLNLP 2023)
Website: http://www.mlnlp2023.net/
Venue: Sanya, China
Conference Date: Dec. 27-29, 2023
2023 6th International Conference on Machine Learning and Natural Language Processing (MLNLP 2023) will be held in Sanya, China during Dec. 27-29, 2023. It is sponsored by Hainan University, China, Hainan Normal University, China, Hainan Tropical Ocean University, China, and The International Society for Applied Computing (ISAC).
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.
*Conference Speakers:
Keynote Speaker I:
Prof. James Tin-Yau KWOK, Hong Kong University of Science and Technology, China (IEEE Fellow)
Keynote Speaker II:
Prof. WANG Jun, City University of Hong Kong, China (IEEE Life Fellow)
Keynote Speaker III:
Prof. Yuhui Shi, Southern University of Science and Technology, China (IEEE Fellow)
Keynote Speaker IV:
Prof. Shuang-Hua Yang, University of Reading, UK (IEEE Senior Member)
Keynote Speaker V:
Prof. Yucong Duan, Hainan University, China
*Call for papers:
Machine Learning
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
Linked data
POS tagging
Semantic role labelling
Word-sense disambiguation
Multiword expressions
Textual entailment
Anaphora resolution
Language generation
Speech recognition
Text-to-speech synthesis
Multilingual NLP
(for more topics: http://www.mlnlp2023.net/topic.html )
*Publication and indexing:
★ All accepted and registered papers will be included in MLNLP 2023 conference proceedings and published by ACM (ISBN: 979-8-4007-0924-1), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus.
★ MLNLP 2022 Conference Proceedings have been published by ACM (ISBN: 978-1-4503-9906-7) and indexed by EI Compendex and Scopus successfully within 1 month after publication!
★MLNLP 2021 Conference Proceedings have been published by IEEE Conference Publishing Services in the IEEE Xplore (ISBN: 978-1-6654-3757-8) and indexed by Ei Compendex and Scopus successfully within 1 month after publication.
★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!
★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!
★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!
*Submission Methods:
1. Online Submission System: https://cmt3.research.microsoft.com/MLNLP2023
2. Submission Email: mlnlp-AT-applied-computing.net
Submission guidelines: http://www.mlnlp2023.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.
Reviewers:
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 , you are welcome to contact us at: mlnlp-AT-applied-computing.net
*Contact us:
Website: http://www.mlnlp2023.net/
Conference Secretary: Ms. Kathy Tang
Tel: +852 63592147
Email: mlnlp-AT-applied-computing.net
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.