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    MLNLP 2022 - 2022 5th International Conference on Machine Learning and Natural Language Processing (MLNLP 2022)

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    Website http://www.mlnlp2022.net/ | Edit Freely

    Category Machine Learning and Natural Language Processing

    Deadline: November 23, 2022 | Date: December 23, 2022-December 25, 2022

    Venue/Country: Sanya, China

    Updated: 2022-07-01 15:24:08 (GMT+9)

    Call For Papers - CFP

    2022 5th International Conference on Machine Learning and Natural Language Processing (MLNLP 2022)

    Website: http://www.mlnlp2022.net/

    Venue: Sanya, China

    Conference Date: Dec. 23-25, 2022

    2022 5th International Conference on Machine Learning and Natural Language Processing (MLNLP 2022) will be held in Sanya, China during Dec. 23-25, 2022. 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.

    *Conference Speakers:

    Keynote Speaker I:

    Prof. Koichi Asatani, Shanghai University, China (IEEE Fellow, IEICE Fellow)

    Keynote Speaker II:

    Prof. Ma Jianguo, Zhejiang University, China (IEEE Fellow, 浙江大学微纳电子学院教授、副院长)

    Keynote Speaker III:

    Prof. Bo Ai, Beijing Jiaotong University, China (IEEE Fellow, IET Fellow) (IEEE VTS Beijing Chapter Vice Chair IEEE BTS Xi'an Chapter Chair)

    Keynote Speaker IV:

    Prof. Farhad Shahnia, Murdoch University, Australia (IEEE Senior Member)

    *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.mlnlp2022.net/topic.html )

    *Publication and indexing:

    ★MLNLP 2022 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 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/MLNLP2022

    2.Submission Email: mlnlp@applied-computing.net

    Submission guidelines: http://www.mlnlp2022.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 2022, you are welcome to contact us at: mlnlp@applied-computing.net

    *Contact us:

    Website: http://www.mlnlp2022.net/

    Conference Secretary: Ms. Kathy Tang

    Tel: +852 63592147

    Email: mlnlp@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.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.