4 papers · 1 filter
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…
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…
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…