Fast semantic parsing with well-typedness guarantees

Matthias Lindemann, Jonas Groschwitz, Alexander Koller


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.
Anthology ID:
2020.emnlp-main.323
Volume:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
November
Year:
2020
Address:
Online
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3929–3951
Language:
URL:
https://www.aclweb.org/anthology/2020.emnlp-main.323
DOI:
10.18653/v1/2020.emnlp-main.323
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.emnlp-main.323.pdf