Shaowei Yao

Better AMR-To-Text Generation with Graph Structure Reconstruction

AMR-to-text generation is a challenging task of generating texts from graph-based semantic representations. Recent studies formalize this task a graph-to-sequence learning problem and use various graph neural networks to model graph structure. In this paper, we propose a novel approach that generate…