Generating English from Abstract Meaning Representations
Nima Pourdamghani, Kevin K. Knight, Ulf Hermjakob · 2016
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.