Natural Language Processing and Semantic Technologies: From Theories to Applications
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 2024 | Viewed by 151
Special Issue Editors
Interests: semantic interoperability; knowledge graphs; natural language processing; large language models; information extraction; deep and machine learning
Special Issue Information
Dear Colleagues,
The recent advances in large language models have greatly expanded the capabilities of NLP, enabling nuanced understandings and the creation of human-like text. At the same time, the use of semantic technologies, especially knowledge graphs and embeddings, has enriched our contextual understanding by encoding complex relationships between the entities. Together, these technologies can simplify our access to information. This Special Issue focuses on the synergistic fusion of large language models and semantic technologies, exploring how their integration improves the natural language processing (NLP) and data accessibility landscapes. The contributors may explore the collaborative potential of these technologies, addressing how semantic structures improve the context awareness of language models and knowledge representation. This Special Issue aims to shed light on novel methods, applications, and interdisciplinary approaches that leverage the combined strengths of large language models and semantic technologies to push the boundaries of intelligent natural language processing systems.
Dr. André Pomp
Prof. Dr. Christoph Quix
Guest Editors
Manuscript Submission Information
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Keywords
- natural language processing
- large language models
- semantic web
- knowledge graphs
- ontologies
- semantic interoperability
- semantic modeling
