Publications

Aligning english strings with abstract meaning representation graphs

Abstract

We align pairs of English sentences and corresponding Abstract Meaning Representations (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 performing symmetrized EM training. We obtain 86.5% and 83.1% alignment F score on development and test sets.

Date
January 1, 1970
Authors
Nima Pourdamghani, Yang Gao, Ulf Hermjakob, Kevin Knight
Conference
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Pages
425-429