  AM dependency parsing is a linguistically principled method for neural
semantic parsing with high accuracy across multiple graphbanks. It relies on a
type system that models semantic valency but makes existing parsers slow. We
describe an A* parser and a transition-based parser for AM dependency parsing
which guarantee well-typedness and improve parsing speed by up to 3 orders of
magnitude, while maintaining or improving accuracy.
