Relation Recognition

Relation recognition, a core task in natural language processing and computer vision, aims to identify and classify relationships between entities within text or images. Current research focuses on improving accuracy and efficiency through various approaches, including transformer-based models, prototype-based methods, and techniques leveraging large language models for knowledge graph construction and prompt learning. These advancements are crucial for improving question answering systems, scene graph generation, and other applications requiring semantic understanding, ultimately leading to more robust and intelligent AI systems.