Taxonomy Expansion

Taxonomy expansion focuses on automatically adding new concepts to existing hierarchical knowledge structures, improving the comprehensiveness and utility of these taxonomies across various domains. Recent research emphasizes leveraging large language models (LLMs) and incorporating diverse data sources, such as user behavior and visual information, to enhance accuracy and efficiency, often employing techniques like instruction tuning, reinforcement learning, and generative adversarial networks. These advancements are crucial for maintaining up-to-date taxonomies in rapidly evolving fields, improving applications ranging from e-commerce search to named entity recognition.