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ICNLP 2025 - 7th International Conference on Natural Language Processing (ICNLP 2025)

Date2025-03-21 - 2025-03-23

Deadline2024-10-30

VenueGuangzhou, China China

KeywordsNatural Language Processing

Websitehttp://www.icnlp.net

Topics/Call fo Papers

★Full Name: 2025 7th International Conference on Natural Language Processing (ICNLP 2025)
★Abbreviation: ICNLP 2025
★Website: http://www.icnlp.net/
★Date: March 21st-23rd, 2025
★Place: Guangzhou, China
★Organised by: Guangdong University of Finance and Economics, China
★ Publication
Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference, and all accepted and presented papers will be published into Conference Proceedings, which will be submitted for Ei Compendex and Scopus for indexing.
★Call for paper★
1. Language Analysis and Representation:
Phonetics, Phonology, and Morphology;
Syntax, Semantics, Discourse, Pragmatics, Dialogue, and Lexicon;
Word and Sentence Representation;
Semantic Role Labelling;
2. Language Processing Models and Techniques:
Mathematical, Statistical, Machine Learning, and Deep Learning Models;
Mathematical and Statistical Models;
Machine Learning Models;
Deep Learning Models;
3. Language Resources and Tools:
Language Resources and Corpora;
Electronic Dictionaries, Terminologies, and Ontologies;
Linked Data;
4. Information Extraction and Retrieval:
Knowledge Acquisition;
Information Retrieval;
Text Categorization;
Information Extraction;
Text Summarization;
For details about topics, please visit at https://www.icnlp.net/cfp.html
★Submission★
1. Full paper(publication and presentation)
2. Abstract (presentation only)
There are two methods for submitting your paper:
1. By Electronic Submission System: https://www.zmeeting.org/submission/icnlp2025
2. By our contact email: icnlp-AT-chairmen.org
More detail about submission, please visit at https://www.icnlp.net/sub.html
★★Contact
Ms. Avery Kim (Conference Secretary)
Email: icnlp-AT-chairmen.org
Telephone: (+86) 18081079313 (Working hour: GMT+8 10:00am-17:00pm)

Last modified: 2024-06-13 16:00:09