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CLNLP 2025 : 2025 2nd International Conference on Computational Linguistics and Natural Language Processing | |||||||||||||||||
Link: http://2025 06 15 | |||||||||||||||||
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Call For Papers | |||||||||||||||||
★2025 2nd International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2025)-- Ei Compendex & Scopus—Call for paper
July 18-20, 2025|Suzhou, China|Website: www.clnlp.org ★CLNLP 2025 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 All accepted and presented papers will be published in Conference Publishing Services (CPS), which will be sent for review and submitted for indexing by major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar etc. Excellent Papers from CLNLP 2025 will be recommended to be submitted for publication in journal. ★Program Preview/ Program at a glance July 18: Registration + Icebreaker Reception July 19: Opening Ceremony+ KN Speech+ Technical Sessions July 20: Technical Sessions+ Half day tour/Lab tours ★Keynote Speaker Prof. Huiyu Zhou, University of Leicester, UK Prof. Yue Zhang, Westlake University, China Prof. Zhen Wang, Northwestern Polytechnical University, China Fellow of IEEE, IOP, AAIA ★Paper Submission PDF version submit via CMT: https://cmt3.research.microsoft.com/CLNLP2025 ★CONTACT US Ms. Riva H. W. Wong Email: mail@clnlp.org 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 |
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