Year: 2013
Type: conference-paper
Abstract: A precise syntacto-semantic analysis of English requires a large detailed lexicon with the possibility of treating multiple tokens as a single meaning-bearing unit, a word-with-spaces.However parsing with such a lexicon, as included in the English Resource Grammar, can be very slow.We show that we can apply supertagging techniques over an ambiguous token lattice without resorting to previously used heuristics, a process we call ubertagging.Our model achieves an ubertagging accuracy that can lead to a four to eight fold speed up while improving parser accuracy.
DOI: 10.18653/v1/d13-1120
Author: Rebecca Dridan
Institution: University of Oslo
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Universitetet i Oslo
OpenAlex ID: W2251015493