Advanced Algorithms in Natural Language Processing and Information Extraction
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 21
Special Issue Editors
Interests: natural language processing; text mining; question answering; knowledge graph
Special Issues, Collections and Topics in MDPI journals
Interests: natural language processing; knowledge graph
Interests: natural language processing; biomedical information extraction
Special Issue Information
Dear Colleagues,
A vast amount of valuable information across diverse domains resides in unstructured text, including electronic health records, scientific literature, legal documents, financial reports, and social media content. Natural language processing (NLP) and information extraction (IE) are essential for unlocking this data to enable decision-making, knowledge discovery, and automated analysis. This Special Issue is dedicated to the advanced algorithms that form the foundation of these technologies.
We invite high-quality submissions presenting novel mathematical, statistical, and algorithmic approaches to NLP and IE. Topics of interest include, but are not limited to, deep learning models for domain-specific text processing, named entity recognition, relation extraction, knowledge graph construction, question-answering systems, information retrieval, and AI-driven scientific research. The goal is to highlight research that not only demonstrates practical utility across diverse application domains but also advances the theoretical underpinnings of NLP and IE in handling complex data.
Prof. Dr. Tianyong Hao
Prof. Dr. Guangyou Zhou
Guest Editors
Dr. Xinyu He
Dr. Lu Xiang
Guest Editor Assistants
Manuscript Submission Information
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Keywords
- natural language processing
- information extraction
- text mining and knowledge discovery
- large language models
- named entity recognition and relation extraction
- knowledge graph construction and reasoning
- explainable AI
- AI-driven scientific research
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