2022 2nd International Conference on Information Technology and Natural Language Processing

2022 2nd International Conference on Information Technology and Natural Language Processing

Kommen:

Aug
26

) — ()

Information Technology, Natural Language Processing

Xi'an, China Karte

2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) -EI Compendex
Location: Xi'an, China
Dates: August 26-28, 2022
Website: http://www.itnlp.net/
E-mail: submit@itnlp.net
Conference Format: Online and In-person

2022 2nd International Conference on Information Technology and Natural Language Processing (ITNLP 2022) will be held during August 26-28, 2022 in Xi'an, China.
ITNLP 2022 is to bring together leading academic scientists, research scholars and researchers to share and exchange their experiences and research results about all aspects of Information Technology and Natural Language Processing. It would also provide a premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, concerns, practical challenges encountered and the solutions adopted in the field of Information Technology and Natural Language Processing.

Topics:
Information Theory
Automata Theory
Artificial & Computational Intelligence
Control Theory
Signal & Image Processing
Pattern Recognition
Data Mining
Phonology
Morphology
Lexical Semantics
Discourse
Text Mining
Paraphrasing
Entailment
(For more topics: http://www.itnlp.net/topics.html )

Paper Publication:
All registered and presented papers will be included in conference proceeding for publication, indexed by EI Compendex, Scopus and other related databases.
*History:
ITNLP 2021 conference proceeding have already been published by ACM (ISBN: 978-1-4503-9045-3), archived in ACM Digital Library and indexed by EI and Scopus within one month after published.

Paper Submission (Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/ITNLP2022/ (Recommend)
2. Email Submission: submit@itnlp.net

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 Mandy Li