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We design, implement and evaluate two semantic parsers, which represent factorizationand composition-based approaches respectively, for Elementary Dependency Structures (EDS) at the CoNLL 2019 Shared Task on Cross-Framework Meaning Representation Parsing. The detailed evaluation of the two parsers gives us a new perception about parsing into linguistically enriched meaning representations: current neural EDS parsers are able to reach an accuracy at the interannotator agreement level in the same-epochand-domain setup.

Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures