Unsupervised Kg To Text Generation

Unsupervised KG-to-Text Generation is a cutting-edge technology in the field of natural language processing that aims to automatically convert structured knowledge graphs into coherent natural language text without the need for annotated data. This technology captures the relationships between entities through deep learning models, enabling the natural expression of knowledge. It is widely applied in intelligent writing, information extraction and generation, automated reporting, and other areas, significantly enhancing the efficiency and quality of text generation.