Hyper Relational Extraction

Hyper-Relational Extraction is a new task in the field of natural language processing, aiming to extract relational triples and their limiting information, such as time, quantity, or location, from text. This task not only identifies the basic relationships between entities but also captures the specific conditions and contexts of these relationships, thereby providing richer and more accurate factual descriptions and enhancing the construction of knowledge graphs and the application value of semantic understanding.