activity
20152024
most citedAMR Dependency Parsing with a Typed Semantic Algebra

67 citations · 67 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CL2024

Scope-enhanced Compositional Semantic Parsing for DRT

Xiulin Yang, Jonas Groschwitz, Alexander Koller +1

Discourse Representation Theory (DRT) distinguishes itself from other semantic representation frameworks by its ability to model complex semantic and discourse phenomena through st…

cs.CL2023

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

Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli +1

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

cs.CL2021

Learning compositional structures for semantic graph parsing

Jonas Groschwitz, Meaghan Fowlie, Alexander Koller

AM dependency parsing is a method for neural semantic graph parsing that exploits the principle of compositionality. While AM dependency parsers have been shown to be fast and accu…

cs.CL2020

Fast semantic parsing with well-typedness guarantees

Matthias Lindemann, Jonas Groschwitz, Alexander Koller

AM dependency parsing is a linguistically principled method for neural semantic parsing with high accuracy across multiple graphbanks. It relies on a type system that models semant…

cs.LO2020

Graphs with Multiple Sources per Vertex

Martin van Harmelen, Jonas Groschwitz

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)…

cs.CL2020

Normalizing Compositional Structures Across Graphbanks

Lucia Donatelli, Jonas Groschwitz, Alexander Koller +2

The emergence of a variety of graph-based meaning representations (MRs) has sparked an important conversation about how to adequately represent semantic structure. These MRs exhibi…

cs.CL2019

Compositional Semantic Parsing Across Graphbanks

Matthias Lindemann, Jonas Groschwitz, Alexander Koller

Most semantic parsers that map sentences to graph-based meaning representations are hand-designed for specific graphbanks. We present a compositional neural semantic parser which a…

cs.CL2018★ 67 cited

AMR Dependency Parsing with a Typed Semantic Algebra

Jonas Groschwitz, Matthias Lindemann, Meaghan Fowlie +2

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 allow…

math.CO2016

Sharp thresholds for half-random games II

Jonas Groschwitz, Tibor Szabó

We study biased Maker-Breaker positional games between two players, one of whom is playing randomly against an opponent with an optimal strategy. In this work we focus on the case…

math.CO2015

Sharp thresholds for half-random games I

Jonas Groschwitz, Tibor Szabó

We study biased Maker-Breaker positional games between two players, one of whom is playing randomly against an opponent with an optimal strategy. In this paper we consider the scen…