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    MLNLP 2020 - 2020 3rd International Conference on Machine Learning and Natural Language Processing(MLNLP 2020)

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    Website http://www.mlnlp.net/ | Want to Edit it Edit Freely

    Category Communication;Systems Engineering;Data Mining;Artificial Intelligence;Robotics;Information Technology;Computer software and applications

    Deadline: November 24, 2020 | Date: December 24, 2020-December 26, 2020

    Venue/Country: Sanya, China

    Updated: 2020-05-15 15:52:17 (GMT+9)

    Call For Papers - CFP

    Call for Paper

    2020 3rd International Conference on Machine Learning and Natural Language Processing (MLNLP 2020)

    Website: http://www.mlnlp.net/

    December 24-26, 2020 Sanya, China

    Welcome to the official website of the 2020 3rd International Conference on Machine Learning and Natural Language Processing (MLNLP 2020). MLNLP 2020 will be held during December 24-26, 2020 in Sanya, China. MLNLP 2020 is to bring together innovative academics and industrial experts in the field of Machine Learning and Natural Language Processing to a common forum. MLNLP 2020, aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of Machine Learning and Natural Language Processing. The conference will feature original research and application papers on the theory, design and implementation of Machine Learning and Natural Language Processing.

    Speakers:

    Keynote Speaker 1: Prof. Mojtaba Moatamedi, Oslo Metropolitan University, Norway

    Keynote Speaker 2: Prof. Pao-Ann Hsiung, National Chung Cheng University, Taiwan

    Plenary Speaker 1: Assoc. Prof. Feng-Jen Yang, Florida Polytechnic University, U.S.

    Plenary Speaker 2: Prof. Xiaodong Liu (HEA Fellow), Edinburgh Napier University, UK

    Plenary Speaker 3: Assoc. Prof. Hassan Abbas Khawaja, The Arctic University of Norway, Norway

    Topics of Interest:

    Machine Learning:

    Computational learning theory

    Experimental evaluation

    Knowledge refinement

    Reproducible research

    Statistical learning theory

    Learning problems

    Adaptive systems

    Business intelligence

    Biometrics

    Bioinformatics

    Natural Language Processing:

    Fundamentals of Language Computing

    Word Segmentation & Named Entity Recognition

    Syntactic Parsing, Semantic Analysis, Discourse Analysis

    NLP for Minority and Low-resource Languages

    Applications of Natural Language Processing

    NLP for Mobile Computing

    Machine Translation & Multilingual Information Access

    Machine Learning for NLP

    For more, please see: http://www.mlnlp.net/Topics.html

    Publication and Indexing:

    MLNLP 2020 accepted papers will be included in the Conference Proceedings, which will be published by ACM (ISBN: 978-1-4503-8811-5) and will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus.

    MLNLP 2019 accepted papers have been published by ACM (ISBN: 978-1-4503-7261-9) and indexed by EI Compendex and Scopus Successfully!

    MLNLP 2018 accepted papers have been published by ACM (ISBN: 978-1-4503-6625-0) and indexed by EI Compendex and Scopus Successfully!

    If you have any question or request, please feel free to contact us.

    Submission Method:

    1. Paper Submission System: https://cmt3.research.microsoft.com/MLNLP2020

    2. Paper Submission Email: mlnlpataiase.net

    Once your submission received, we will give you feedback within 24 hours by email.

    Contact Us:

    Website:http://www.mlnlp.net/

    Email:mlnlpataiase.net

    Tel:+852 53465620


    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.