Enriching the Output of a Parser Using Memory-based Learning

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 memorybased learning, applied to dependency structures. This general framework allows us to accurately recover both grammatical and semantic information as well as non-local dependencies. It also facilitates dependency-based evaluation of phrase structure parsers. Our method is largely independent of the choice of parser and corpus, and shows state of the art performance.

• Type: Conference
• Year: 2004
• Where: ACL
• Authors: Valentin Jijkoun, Maarten de Rijke
• Keywords: ACL 2004, ACL 2007, Dependency Structures, Graph Rewriting, Phrase Structure Parsers