Compositional Semantic Parsing across Graphbanks
Matthias Lindemann, Jonas Groschwitz, Alexander Koller · 2019
Most semantic parsers that map sentences to graph-based meaning representations are handdesigned for specific graphbanks.We present a compositional neural semantic parser which achieves, for the first time, competitive accuracies across a diverse range of graphbanks.Incorporating BERT embeddings and multi-task learning improves the accuracy further, setting new states of the art on DM, PAS, PSD, AMR 2015 and EDS.