Artificial Intelligence (AI) and Natural Language Processing (NLP)

Dear Colleagues,

Artificial intelligence (AI) and natural language processing (NLP) are at the forefront of transformative technologies reshaping the way we interact with computers and automated machines. AI encompasses the broader discipline of developing systems capable of performing tasks that typically require human intelligence, such as reasoning, decision-making, categorization, prediction, and learning. NLP, a subfield of AI, focuses on enabling computers to understand, analyze, translate or interpret, generate, and respond to human language in a meaningful way.

Recent advancements in machine learning, especially in deep learning, and in large language models have significantly enhanced the capabilities of NLP applications, which range from real-time translation and use in dialogue systems and human–machine conversations to intelligent virtual assistance and automated content generation. These developments are opening new frontiers in many non-computing disciplines such as healthcare, education, business, economy, politics, manufacturing, etc.

For this Special Issue, we invite researchers, practitioners, and academics to contribute original research articles, reviews, and case studies that explore the latest innovations, challenges, and future directions in NLP and AI. Submissions may include theoretical insights, practical implementations, interdisciplinary approaches, and novel applications. This Special Issue will cover the following topics (though this list is not exhaustive):

1. Machine Learning and Deep Learning for NLP
   • Machine learning and deep learning methods;
   • Implementation, integration, testing, and deployment issues of AI and NLP systems;
   • Transfer learning and pre-training techniques.
2. Language Modeling and Generation
   • Text summarization;
   • Machine translation;
   • Text generation and completion.
3. Speech and Audio Processing
   • Speech recognition and synthesis;
   • Multimodal NLP (audio + text).
4. Semantic Analysis
   • Named entity recognition (NER);
   • Word sense disambiguation;
   • Semantic similarity and entailment.
5. Information Extraction and Retrieval
   • Knowledge graph construction;
   • Question answering systems;
   • Search engines and semantic search.
6. Emerging Topics
   • Large language models (LLMs);
   • Scaling laws, model compression, prompt engineering;
   • Safety, alignment, and interpretability.
7. Multimodal AI
   • Vision–language integration (e.g., image captioning, VQA);
   • Cross-modal retrieval.
8. Ethics, Fairness, and Bias in NLP/AI
   • Algorithmic fairness;
   • Mitigation of harmful content;
   • Transparency and accountability.
9. Low-resource and Multilingual NLP
   • Zero-shot and few-shot learning;
   • Cross-lingual transfer.
10. Human–AI Collaboration
    • Co-creative systems;
    • Conversational agents and chatbots;
    • Explainable AI in NLP.
11. Application-Focused Areas
    • Healthcare;
    • Clinical NLP;
    • Medical report generation and classification;
    • NLP for finance.
12. Education and E-learning
    • Automated essay scoring;
    • Intelligent tutoring systems;
    • Assessment and plagiarism.
13. Legal and Financial AI
    • Contract analysis;
    • Document classification and summarization;
    • Privacy, security, trust, and ethical issues in AI;
    • Legal complications on AI models.
14. Social Media and Sentiment Analysis
    • Misinformation detection;
    • Opinion mining.
15. Robotics and Human–Robot Interaction
    • Natural language instruction;
    • Context-aware dialogue systems.

You may choose our Joint Special Issue in Big Data and Cognitive Computing.

Dr. Sardar Jaf
Dr. Basel Barakat
Prof. Dr. Yongqiang Cheng
Guest Editors

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. Future Internet 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 1600 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.

• artificial intelligence
• AI
• natural language processing
• NLP
• language models
• large language model
• speech processing
• text processing
• language processing