Enriching the output of a parser using memory-based learning

Authors
Publication date 2004
Book title Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004)
Pages (from-to) 311-318
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We describe a method for enriching the output of aparser with information available in a corpus. Themethod is based on graph rewriting using memorybasedlearning, applied to dependency structures.This general framework allows us to accurately recoverboth grammatical and semantic informationas well as non-local dependencies. It also facilitatesdependency-based evaluation of phrase structureparsers. Our method is largely independent ofthe choice of parser and corpus, and shows state ofthe art performance.
Document type Chapter
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