# A constrained graph algebra for semantic parsing with AMRs

Jonas Groschwitz, Meaghan Fowlie, Mark Johnson, and Alexander KollerIn

*Proceedings of the 12th International Conference on Computational Semantics (IWCS)*, Montpellier, 2017.

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.

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**BibTeX Entry**

@InProceedings{graph-algebra-17, author = {Jonas Groschwitz and Meaghan Fowlie and Mark Johnson and Alexander Koller}, title = {A constrained graph algebra for semantic parsing with AMRs}, booktitle = {Proceedings of the 12th International Conference on Computational Semantics (IWCS)}, year = 2017, address = {Montpellier} }

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