9th International Conference on Natural Language Processing (NATP 2023)

January 28 ~ 29, 2023, Copenhagen, Denmark

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms New

Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms New

9th International Conference on Natural Language Processing (NATP 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing. The Conference looks for significant contributions to all major fields of the Natural Language Computing in theoretical and practical aspects.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.


Topics of interest include, but are not limited to, the following:

Paper Submission

Authors are invited to submit papers through the conference Submission System by CLOSED.

Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from NATP 2023, after further revisions, will be published in the special issues of the following journals

Speakers

Laura L. Pullum

USA 

Yulin Zhang

USA  

Anishka Duvvuri

USA 

Lina Lumburovska

University in Skopje,North Macedonia 

Chunhei Zhu

USA 

Muhamad Adib Bin Bahari

TNB Research Sdn. Bhd.,Malaysia 

Nicole M

Sage Hill School, USA 

Hui Hu

Nanjing University of Aeronautics and Astronautics, China 

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library