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Found 13 papers, 5 papers with code
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
We present the Granular AMR Parsing Evaluation Suite (GrAPES), a challenge set for Abstract Meaning Representation (AMR) parsing with accompanying evaluation metrics.
Learning compositional structures for semantic graph parsing
AM dependency parsing is a method for neural semantic graph parsing that exploits the principle of compositionality.
Fast semantic parsing with well-typedness guarantees
AM dependency parsing is a linguistically principled method for neural semantic parsing with high accuracy across multiple graphbanks.
Graphs with Multiple Sources per Vertex
Several attempts have been made at constructing Abstract Meaning Representations (AMRs) compositionally, and recently the idea of using s-graphs with the HR-algebra (Koller, 2015) has been simplified to reduce the number of options when parsing (Groschwitz et al., 2017).
Normalizing Compositional Structures Across Graphbanks
The emergence of a variety of graph-based meaning representations (MRs) has sparked an important conversation about how to adequately represent semantic structure.
Saarland at MRP 2019: Compositional parsing across all graphbanks
We describe the Saarland University submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2019 Conference on Computational Natural Language Learning (CoNLL).
Compositional Semantic Parsing Across Graphbanks
Most semantic parsers that map sentences to graph-based meaning representations are hand-designed for specific graphbanks.
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.
Coarse-To-Fine Parsing for Expressive Grammar Formalisms
We generalize coarse-to-fine parsing to grammar formalisms that are more expressive than PCFGs and/or describe languages of trees or graphs.
Alto: Rapid Prototyping for Parsing and Translation
We present Alto, a rapid prototyping tool for new grammar formalisms.
