Year: 2019
Type: conference-paper
Abstract: The English Resource Grammar (ERG) is a broad-coverage computational grammar of English that derives underspecified logicalform representations of meaning.Elementary Dependency Structures (EDS) and DELPH-IN MRS Bi-Lexical Dependencies (DM) are graph-based simplifications of ERG meaning representations.As a point of reference outside the official competition of the 2019 Shared Task on Cross-Framework Meaning Representation Parsing, we evaluate ERGderived EDS and DM graphs.These graphs yield higher accuracy scores than the purely data-driven parsers in the shared task, suggesting that the general-purpose grammatical knowledge encoded in the ERG aids parsing into these meaning representations.
DOI: 10.18653/v1/k19-2003
Authors: Stephan Oepen, Dan Flickinger
Institutions: University of Oslo, Stanford University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2983864660