Paper: Ubertagging: Joint Segmentation and Supertagging for English

ACL ID D13-1120
Title Ubertagging: Joint Segmentation and Supertagging for English
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2013
Authors

A precise syntacto-semantic analysis of En- glish requires a large detailed lexicon with the possibility of treating multiple tokens as a sin- gle meaning-bearing unit, a word-with-spaces. However parsing with such a lexicon, as in- cluded 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.