5 papers
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…
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)…
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…
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…
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…