Aligning English Strings with Abstract Meaning Representation Graphs
Nima Pourdamghani, Yang Gao, Ulf Hermjakob, Kevin K. Knight · 2014
We align pairs of English sentences and corresponding Abstract Meaning Repre-sentations (AMR), at the token level. Such alignments will be useful for downstream extraction of semantic interpretation and generation rules. Our method involves linearizing AMR structures and perform-ing symmetrized EM training. We obtain 86.5 % and 83.1 % alignment F score on de-velopment and test sets. 1