Generating English from Abstract Meaning Representations
We present a method for generating English sentences from Abstract Meaning Representation (AMR) graphs, exploiting a parallel corpus of AMRs and English sentences. We treat AMR to English generation as phrase based machine translation (PBMT) We introduce a method that learns to linearize tokens of AMR graphs into an English like order. Our linearization reduces the amount of distortion in PBMT and increases generation quality. We report a Bleu score of 26.8 on the standard AMR/English test set.
INLG