Graph-to-Text Generation with Dynamic Structure Pruning

Liang Li, Ruiying Geng, Bowen Li +4

Most graph-to-text works are built on the encoder-decoder framework with cross-attention mechanism. Recent studies have shown that explicitly modeling the input graph structure can…