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Fast semantic parsing with well-typedness guarantees

2020-09-15EMNLP 2020Code Available0· sign in to hype

Matthias Lindemann, Jonas Groschwitz, Alexander Koller

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Abstract

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.

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