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- 2023 4th International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2023)
2023 4th International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2023)
CLNLP
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Date of beginning
Friday, 18 August 2023Duration
3 daysDeadline for abstracts
Tuesday, 01 August 2023City
Nanjing, ChinaCountry
Nanjing, ChinaContact
Ms. Willa P. P. WongWebsite
https://www.clnlp.org/Memo
★2023 4th International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2023)-- Ei Compendex & Scopus—Call for paper August 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/CLNLP2023 ★CONTACT US Ms. Riva H. W. Wong Email: This email address is being protected from spambots. You need JavaScript enabled to view it. 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