AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite

1 code implementation • 6 Dec 2023 • Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, Meaghan Fowlie

We present the Granular AMR Parsing Evaluation Suite (GrAPES), a challenge set for Abstract Meaning Representation (AMR) parsing with accompanying evaluation metrics.

AMR Parsing Sentence

Learning compositional structures for semantic graph parsing

1 code implementation • ACL (spnlp) 2021 • Jonas Groschwitz, Meaghan Fowlie, Alexander Koller

AM dependency parsing is a method for neural semantic graph parsing that exploits the principle of compositionality.

Dependency Parsing

Saarland at MRP 2019: Compositional parsing across all graphbanks

no code implementations • CONLL 2019 • Lucia Donatelli, Meaghan Fowlie, Jonas Groschwitz, Alex Koller, er, Matthias Lindemann, Mario Mina, Pia Wei{\ss}enhorn

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).

AMR Dependency Parsing with a Typed Semantic Algebra

no code implementations • ACL 2018 • Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie, Mark Johnson, Alexander Koller

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.

Dependency Parsing

Parsing Minimalist Languages with Interpreted Regular Tree Grammars

no code implementations • WS 2017 • Meaghan Fowlie, Alex Koller, er

A constrained graph algebra for semantic parsing with AMRs

no code implementations • WS 2017 • Jonas Groschwitz, Meaghan Fowlie, Mark Johnson, Alex Koller, er

Semantic Parsing

Order and Optionality: Minimalist Grammars with Adjunction

no code implementations • WS 2013 • Meaghan Fowlie