Hypernym Discovery

Hypernym Discovery is an important task in natural language processing that aims to extract the most suitable set of hypernyms (superordinate terms) for a target word from a given corpus. This task enhances the construction of more accurate lexical hierarchies by analyzing semantic relationships between words, thereby improving the performance of applications such as text understanding, information retrieval, and knowledge graph construction.