![]() |
| |||||||||||||
CLNLP 2023 : 2023 4th International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2023) | |||||||||||||
Link: http://www.clnlp.org/ | |||||||||||||
| |||||||||||||
Call For Papers | |||||||||||||
★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: mail@clnlp.org Website: www.clnlp.org Call for papers(http://www.clnlp.org/cfp.html): Information extraction Natural language generation Semantics:lexical Discourse and Pragmatics Tagging, Chunking, Syntax and Parsing Machine learning for NLP Sentiment Analysis and Argument Mining Summarization Computational Social Science and Cultural Analytics Information retrieval and text mining Interpretability and Analysis of Models for NLP NLP applications Question Answering Large-scale grammars of natural languages |
|