Abstract
The English Resource Grammar (ERG) is a broad-coverage computational grammar of English that derives underspecified logical-form 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 ERG-derived 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.
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CITATION STYLE
Oepen, S., & Flickinger, D. (2020). The Erg at MRP 2019: Radically compositional semantic dependencies. In CoNLL 2019 - SIGNLL Conference on Computational Natural Language Learning, Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning (pp. 40–44). Association for Computational Linguistics. https://doi.org/10.18653/v1/K19-2003
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