A Survey : Neural Networks for AMR-to-Text. (arXiv:2206.07328v1 [cs.CL])

AMR-to-text is one of the key techniques in the NLP community that aims at
generating sentences from the Abstract Meaning Representation (AMR) graphs.
Since AMR was proposed in 2013, the study on AMR-to-Text has become
increasingly prevalent as an essential branch of structured data to text
because of the unique advantages of AMR as a high-level semantic description of
natural language. In this paper, we provide a brief survey of AMR-to-Text.
Firstly, we introduce the current scenario of this technique …

amr arxiv networks neural networks survey text