posted by system || 35517 views || tracked by 48 users: [display]

ACM-MLNLP-Ei/Scopus 2019 : 2019 2nd International Conference on Machine Learning and Natural Language Processing

FacebookTwitterLinkedInGoogle


Conference Series : Computer Science and Software Engineering
 
Link: http://www.mlnlp.net/
 
When Dec 20, 2019 - Dec 22, 2019
Where Sanya, China
Submission Deadline Nov 30, 2019
Categories    machine learning   natural language processing   computer science   artificial intelligence
 

Call For Papers

Call for Paper
2019 2nd International Conference on Machine Learning and Natural Language Processing (MLNLP 2019)

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

Dec. 20-22, 2019 Sanya, China

Welcome to the official website of the 2019 2nd International Conference on Machine Learning and Natural Language Processing (MLNLP 2019). MLNLP 2019 will be held during December 20-22, 2019 in Sanya, China. MLNLP 2019 is to bring together innovative academics and industrial experts in the field of Machine Learning and Natural Language Processing to a common forum. MLNLP 2019, 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: Chair Prof. Shyi-Ming Chen, National Taiwan University of Science and Technology, Taiwan
Keynote Speaker 2: Prof. Chuan-Ming Liu, National Taipei University of Technology, Taiwan
Keynote Speaker 3: Prof. Song, William Wei, Dalarna University, Sweden
Plenary Speaker 1: Assoc. Prof. Feng-Jen Yang, Florida Polytechnic University, U.S.
Invited Speaker 1: Dr. Xiaokun Yang, University of Houston-Clear Lake, U.S.

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:
All the accepted papers of MLNLP 2018 have been published by ACM and indexed by EI Compendex and Scopus successfully within two months after the publication.
See as: http://www.mlnlp.net/history.html

All the accepted papers of ACAI 2019 will be included in the Conference Proceedings, which will be published by ACM (ISBN: 978-1-4503-7261-9), archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus.

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

Submission:
1. Paper Submission System: https://cmt3.research.microsoft.com/MLNLP2019
2. Paper Submission Email: mlnlp@aiase.net

Once your submission received, we will give you feedback immediately.

Contact Us:
Website:http://www.mlnlp.net/
Email:mlnlp@aiase.net
Tel:+852 53465620

Related Resources

ACM-Ei/Scopus-CWCBD 2023   2023 4th International Conference on Wireless Communications and Big Data (CWCBD 2023) -EI Compendex
CNCIT 2023   2023 2nd International Conference on Networks, Communications and Information Technology (CNCIT 2023)
IEEE Xplore-Ei/Scopus-CCCAI 2023   2023 International Conference on Communications, Computing and Artificial Intelligence (CCCAI 2023) -EI Compendex
CSIP 2023   10th International Conference on Signal Processing
CSSE 2023   International Conference on Computer Science and Software Engineering
ICDM 2023   International Conference on Data Mining
ICCV 2023   International Conference on Computer Vision
ACM-EI/Scopus-ITCC 2023   2023 3rd International Conference on Information Technology and Cloud Computing (ITCC 2023) -EI Compendex
Distributed ML and Opt. 2023   Distributed Machine Learning and Optimization: Theory and Applications
LSD 2023   Learning with Small Data