mlsanityData to 14 Oct 2026

Compositional Semantic Parsing Across Graphbanks

arXiv 1906.11746 ↗First posted 27 Jun 2019cs.CLcited by 15

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Abstract (arXiv)

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.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jun 2019.

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Citing papers per year: 2021: 7; 2022: 4; 2023: 1; 2024: 1; 2025: 0; 2026: 2.

15 papers.

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