Paper: Enriching The Output Of A Parser Using Memory-Based Learning

ACL ID P04-1040
Title Enriching The Output Of A Parser Using Memory-Based Learning
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

We describe a method for enriching the output of a parser with information available in a corpus. The method is based on graph rewriting using memory- based learning, applied to dependency structures. This general framework allows us to accurately re- cover both grammatical and semantic information as well as non-local dependencies. It also facili- tates dependency-based evaluation of phrase struc- ture parsers. Our method is largely independent of the choice of parser and corpus, and shows state of the art performance.