Natural Language Processing (NLP) and Large Language Modelling (2nd Edition)

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 63

Special Issue Editor


E-Mail Website
Guest Editor
School of Info Technology, Faculty of Science, Engineering and Built Environment, Geelong Waurn Ponds Campus, Deakin University, Geelong, VIC 3216, Australia
Interests: natural language processing; small efficient language modelling; continual learning; text generation; adversarial learning; scientific text mining; multimodality; conversational systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Natural Language Processing is a rapidly evolving field playing a crucial role in shaping the future of human–computer interactions, with applications range from sentiment analysis and machine translation to question-answering and dialogue systems.

We invite researchers, practitioners, and enthusiasts to submit original research articles, reviews, and case studies that contribute to the advancement of NLP. We also welcome extended conference papers that comprise at least 50% of original material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Large language modelling and its applications;
  • Sentiment analysis and opinion mining;
  • Machine translation and multilingual processing;
  • Question-answering and information retrieval;
  • Dialogue systems and conversational agents;
  • Text summarization and generation;
  • Natural language understanding and generation;
  • NLP applications in healthcare, finance, education, and other domains.

Submissions should present novel research findings, innovative methodologies, and practical applications that demonstrate the current state of the art in NLP. We welcome interdisciplinary approaches and encourage submissions that explore the intersection of NLP and other fields, such as machine learning, artificial intelligence, and cognitive science.

Dr. Ming Liu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • natural language processing
  • small efficient language modelling
  • continual learning
  • text generation
  • adversarial learning
  • scientific text mining
  • multimodality
  • conversational systems
  • large language model

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers

This special issue is now open for submission.
Back to TopTop