@inproceedings{f62fbe7f871b4998a785f0c0ba29c213,
title = "A constrained graph algebra for semantic parsing with AMRs",
abstract = "When learning grammars that map from sentences to abstract meaning representations (AMRs), one faces the challenge that an AMR can be described in a huge number of different ways using traditional graph algebras. We introduce a new algebra for building graphs from smaller parts, using linguistically motivated operations for combining a head with a complement or a modifier. Using this algebra, we can reduce the number of analyses per AMR graph dramatically; at the same time, we show that challenging linguistic constructions can still be handled correctly.",
author = "Jonas Groschwitz and Meaghan Fowlie and Mark Johnson and Alexander Koller",
year = "2017",
language = "English",
series = "12th International Conference on Computational Semantics (IWCS 2017)",
publisher = "Association for Computational Linguistics (ACL)",
booktitle = "IWCS 2017 - 12th International Conference on Computational Semantics - Long papers",
}