2 papers
cs.CL2021
Latent Tree Decomposition Parsers for AMR-to-Text Generation
Lisa Jin, Daniel Gildea
Graph encoders in AMR-to-text generation models often rely on neighborhood convolutions or global vertex attention. While these approaches apply to general graphs, AMRs may be amen…
cs.CL2019
AMR-to-Text Generation with Cache Transition Systems
Lisa Jin, Daniel Gildea
Text generation from AMR involves emitting sentences that reflect the meaning of their AMR annotations. Neural sequence-to-sequence models have successfully been used to decode str…