Natural Language Processing: From Deep Learning to Real-World Solutions
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 November 2025 | Viewed by 17
Special Issue Editors
Interests: computational linguistics; natural language processing; computational lexicons; lexical–semantic networks; semantic relations; linguistic annotation; information extraction; corpus linguistics
Interests: corpus linguistics; computational linguistics; natural language processing; computational lexicons; semantic analysis
Special Issue Information
Dear Colleagues,
In recent years, we have witnessed a significant advancement in the field of natural language processing with the extensive use of machine learning and deep learning and the increasing implementation of large language models. Designing efficient systems for language understanding and generation is of high priority in addressing real-world challenges and for various domains such as healthcare, finance, science, education, social care, etc.
We invite researchers and practitioners from both academia and industry working in different fields such as natural language processing, engineering, computer science, data mining, computational linguistics, and other related areas to submit novel research that focuses on language technologies and their applications to solving real-world problems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following: machine learning, deep learning, large language models, multimodal NLP, multilingual and cross-lingual NLP, and real-world applications of language technologies in specific domains.
We look forward to receiving your contributions.
Dr. Ivelina Stoyanova
Dr. Svetlozara Leseva
Dr. Verginica Barbu Mititelu
Guest Editors
Manuscript Submission Information
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Keywords
- language technologies
- natural language processing
- machine learning
- deep learning
- large language models
- computational linguistics
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