Fast semantic parsing with well-typedness guarantees
2020-09-15EMNLP 2020Code Available0· sign in to hype
Matthias Lindemann, Jonas Groschwitz, Alexander Koller
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/coli-saar/am-parserOfficialIn paperpytorch★ 32
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.