Deep Learning and Its Applications in Natural Language Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 488
Special Issue Editors
2. School of Computer Science, University of Sydney, Sydney, Australia
Interests: natural langauge processing; multimodal learning
Interests: natural langauge processing; medical text mining
Interests: natural langauge processing; large language model
Special Issue Information
Dear Colleagues,
This Special Issue, entitled “Deep Learning and Its Applications in Natural Language Processing”, aims to showcase the latest advancements and innovative techniques in the intersection of deep learning and NLP. In recent years, deep learning has revolutionized the way that machines understand and generate human language, unlocking new capabilities across various NLP tasks such as machine translation, text summarization, sentiment analysis, and conversational agents. This Special Issue aims to explore both theoretical developments and practical applications, emphasizing emerging models like transformers, large language models, and multimodal architectures. We welcome contributions that address challenges such as model interpretability, bias mitigation, and multilingual understanding. In addition, we encourage submissions focused on novel methods for data augmentation, domain adaptation, and task-specific fine-tuning. By gathering insights from leading researchers, this Special Issue aims to provide an in-depth perspective on the evolving role of deep learning in NLP, contributing to our understanding and the development of future AI-driven language technologies.
Dr. Caren Han
Dr. Josiah Poon
Guest Editors
Dr. Siwen Luo
Dr. Yihao Ding
Guest Editor Assistants
Manuscript Submission Information
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Keywords
- deep learning
- natural language processing (NLP)
- large language models (LLMs)
- multimodal models
- text generation
- NLP applications
- financial NLP
- medical NLP
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