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CLNLP 2020 : 2020 International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2020)

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Link: http://www.clnlp.org/
 
When Jul 17, 2020 - Jul 19, 2020
Where Seoul, South Korea
Submission Deadline May 31, 2020
Notification Due May 31, 2020
Final Version Due May 31, 2020
Categories    computational linguistics   natural language processing
 

Call For Papers

★2020 International Conference on Computational Linguistics and Natural Language Processing (CLNLP 2020)-- Ei Compendex & Scopus—Call for paper 
July 17-19, 2020|Seoul, South Korea|Website: www.clnlp.org

★CLNLP 2020 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 papers will be published in the digital conference proceedings which will be sent to be Indexed by  all major citation databases such as Ei Compendex, SCOPUS, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef,  Thomson Reuters (WoS), etc. 
A selection of papers will be recommended to be published in international journals.

★Keynote Speakers
Prof. Sergei Gorlatch, University of Muenster, Germany

★Program Preview/ Program at a glance
July 17: Registration + Icebreaker Reception
July 18: Opening Ceremony+ KN Speech+ Technical Sessions
July 19: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1.PDF version submit via CMT: https://cmt3.research.microsoft.com/CLNLP2020
2.Submit Via email directly to: clnlp@hksra.org

★CONTACT US
Ms. Anna H. M. Wong
Email: clnlp@hksra.org
Website: www.clnlp.org

Call for papers(http://www.clnlp.org/cfp.html):
Applications/software/ Tools
Cognitive/Psychological linguistics
Computational morphology
Computational phonology
Computational pragmatics
Computational semantics
Dialogue and Interactive Systems
Dialogue system
Discourse and Pragmatics
Discourse processing
Document Analysis
Generation
Information extraction and database linking
Information Extraction and Text Mining
Information retrieval
Language learning
Linguistic Theories, Cognitive Modeling and Psycholinguistics
Machine Learning
Machine Translation
Machine translation/ Multi-lingual systems
Multidisciplinary
Multilinguality
Named entity recognition
Natural language generation
NLP tools/resources
Opinion mining and sentiment analysis
Phonology, Morphology and Word Segmentation
Question Answering
Question answering
Resources and Evaluation
Semantic processing
Sentence-level semantics
Sentiment Analysis and Argument Mining
Social Media
Summarization
Summarization
Syntax and parsing
Tagging, Chunking, Syntax and Parsing
Textual Entailment
Textual Inference and Other Areas of Semantics
Vision, Robotics, Multimodal, Grounding and Speech
Word segmentation / POS tagging / Chunking
Word-level Semantics
Computational grammar
Computational models of partiality, underspecification, and context-dependency
Computational neuroscience of language
Computational semantics of natural languages
Computational syntax
Computational syntax-semantics interface
Data science in language processing
Information about space and time in language models and processing
Integration of formal, computational, model theoretic, graphical, diagrammatic, statistical, and other related methods
Interdisciplinary methods
Interfaces between morphology, lexicon, syntax, semantics, speech, text, pragmatics
Language processing based on biological fundamentals of information and languages
Large-scale grammars of natural languages
Logic for information extraction or expression in written and spoken language
Machine learning of language
Models of computation and algorithms for linguistics
Models of computation and algorithms for natural language processing
Models of situations, contexts, and agents, for applications to language processing
Multilingual processing
Parsing
Type theories for applications to language and information processing

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