Kg To Text

The KG-to-Text generation task aims to generate high-quality and consistent natural language text from input knowledge graphs. This task leverages the structured information within the graphs, combining it with natural language processing techniques, to achieve the transformation from graphical data to coherent text, which has significant application value in areas such as automatic summarization, dialogue systems, and content creation.