Neuro Cognitive and Knowledge Driven Natural Language Processing (NLP) in the Large Language Model (LLM) Era
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 114
Special Issue Editor
Interests: applying linguistic knowledge bases to fundamental NLP models, including LLMs; NLP/LLM applications in healthcare, and digital wellbeing; neuro-cognitive NLP and its application in affective analysis/misinformation detection based on text and multimodality data
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Special Issue Information
Dear Colleagues,
Natural Language Processing (NLP) stands at the forefront of artificial intelligence, continuously evolving to tackle the ever-growing challenges posed by the surge of unstructured data from social media, digital articles, and other online sources. The advent of large language models (LLMs) has revolutionized this field, yet significant challenges remain, particularly in understanding the intricate nuances, contexts, and ambiguities of human language.
Despite advancements, interactive automation systems such as chatbots and Q/A system still struggle to fully emulate human understanding and contextual awareness. As the volume of unstructured data expands, there is an increasing need for NLP techniques that can more accurately capture and process the complexities of human communication. This includes the integration of neuro-cognitive approaches and knowledge-driven methodologies to enhance the capabilities of NLP systems.
This Special Issue aims to present a timely collection of original research contributions that advance the field of NLP in the era of large language models. We invite researchers and practitioners to submit their latest findings and innovative approaches related to the integration of neuro-cognitive and knowledge-driven techniques in NLP. The scope of this Special Issue includes, but is not limited to, the following topics:
- Information Extraction/Retrieval
- Affective Analysis
- Machine Translation
- Text Summarization
- Dialogue Systems
- Contextual Understanding
- Semantic Analysis
- Cognitive Modeling in NLP
- Knowledge-Enhanced NLP
- Human-Like Interaction in NLP Systems
We seek high-quality submissions that address the challenges and opportunities presented by these advanced NLP techniques. This Special Issue will serve as a valuable resource for those looking to stay at the cutting edge of NLP research and applications.
Dr. Yunfei Long
Guest Editor
Manuscript Submission Information
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Keywords
- neuro-cognitive NLP
- knowledge-driven NLP
- large language models
- information extraction
- information retrieval
- sentiment analysis
- machine translation
- text summarization
- dialogue systems
- contextual understanding
- semantic analysis
- cognitive modeling
- human-like interaction
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