Compositional Semantic Parsing Across Graphbanks
2019-06-27ACL 2019Code Available0· sign in to hype
Matthias Lindemann, Jonas Groschwitz, Alexander Koller
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- github.com/coli-saar/am-parserOfficialIn paperpytorch★ 32
Abstract
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 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.