Semi-automatic hierarchical taxonomy creation from existing taxonomies with large language models

Key Points

• Taxonomy generation improves using large language models, showcasing their efficiency in processing large datasets.
• The research highlights a notable 30% increase in classification accuracy through algorithmic enhancements.
• Analysis of existing taxonomies reveals significant potential for semi-automatic taxonomy creation methods.
• This work supports wider application of advanced algorithms in data classification frameworks.