2023 4th International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2023)
Added by zofiazeng on 2023-03-06
Conference Dates:



Conference Contact Info:



Conference Description:
2023 4th International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2023)-- Ei Compendex & Scopus—Call for paperAugust 18-20, 2023?Nanjing, China?Website: www.clnlp.org
CLNLP 2023 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Computational Linguistics and Natural Language Processing can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations.
Publication and Indexing
Accepted and presented papers will be published in the digital conference proceedings which will submitted to Ei Compendex, Scopus, CPCI, Google Scholar and other major databases for index.
Excellent Papers from CLNLP 2023 will be recommended to be submitted for publication in journal.
Keynote Speakers
Prof. Haofen Wang——Tongji University, China
Prof. Huiyu Zhou——University of Leicester, UK
Prof. Yulan He——Kings College London, UK
Program Preview/ Program at a glance
August 18: Registration + Icebreaker Reception
August 19: Opening Ceremony+ KN Speech+ Technical Sessions
August 20: Technical Sessions+ Half day tour/Lab tours
Paper Submission
PDF version submit via CMT: https://cmt3.research.microsoft.com/CLNL P2023
CONTACT US
Ms. Riva H. W. Wong
Email: [email protected]
Website: www.clnlp.org
Topics of Interest
Computational Social Science and Cultural Analytics
Information extraction
Machine learning for NLP
Question Answering
Tagging, Chunking, Syntax and Parsing
Summarization
Semantics: lexical
NLP applications
Information retrieval and text mining
Natural language generation
Phonology, Morphology and Word Segmentation
Large-scale grammars of natural languages