Taxonomy Expansion

Taxonomy Expansion is an important task in natural language processing that aims to expand the initial classification system by identifying and adding new, unseen nodes. The goal of this task is to enhance the comprehensiveness and accuracy of the classification system, better reflecting the complexity and diversity of the real world. It has significant application value in areas such as knowledge graph construction, information retrieval, and semantic analysis.