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

ICNLP 2025


Engineering & Computer Science (General)



★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



★ 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.





★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@chairmen.org



More detail about submission, please visit at https://www.icnlp.net/sub.html



★★Conference Schedule★★

Friday, March 21, 2025 | Conference Registration and Materials Collection/Pre-test for Online Conference

Saturday, March 22, 2025 | Invited Talks (Keynote Speech, Plenary Speech, Invited Speech) & Parallel Sessions &  Poster Session & Special Sessions

Sunday, March 23, 2025 | Academic Visiting or Tour



★★Contact:

Ms. Avery Kim (Conference Secretary)

Email: icnlp@chairmen.org

Telephone: (+86) 18081079313 (Working hour: GMT+8 10:00am-17:00pm)