Aligning English Strings with Abstract Meaning Representation Graphs

Aligning Formal Meaning Representations with Surface Strings for Wide-Coverage Text Generation

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

Abstract Meaning Representation (AMR) is a popular formalism of natural language that represents the meaning of a sentence as a semantic graph. It is agnostic about how to derive meanings from strings and for this reason…

The ERG at MRP 2019: Radically Compositional Semantic Dependencies

The English Resource Grammar (ERG) is a broad-coverage computational grammar of English that outputs underspecified logical-form representations of meaning in a framework dubbed English Resource Semantics (ERS). Two of t…

Spanish Abstract Meaning Representation: Annotation of a General Corpus

The Abstract Meaning Representation (AMR) formalism, designed originally for English, has been adapted to a number of languages. We build on previous work proposing the annotation of AMR in Spanish, which resulted in the…

AMR Dependency Parsing with a Typed Semantic Algebra

We present a semantic parser for Abstract Meaning Representations which learns to parse strings into tree representations of the compositional structure of an AMR graph. This allows us to use standard neural techniques f…