Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion

Understand

Taxonomies have been widely used in various machine learning and text mining systems to organize knowledge and facilitate downstream tasks.

• One critical challenge is that, as data and business scope grow in real applications, existing taxonomies need to be expanded to incorporate new concepts.
• Previous works on taxonomy expansion process the new concepts independently and simultaneously, ignoring the potential relationships among them and the appropriate order of inserting operations.
• However, in reality, the new concepts tend to be mutually correlated and form local hypernym-hyponym structures.