A sketch-based, coarse-to-fine semantic parser with BERT-based classification, entity tagging, pattern matching, and reranking achieves 84.47% exact-match accuracy on MSParS and 63.08% on the hard subset.
In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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A Sketch-Based System for Semantic Parsing
A sketch-based, coarse-to-fine semantic parser with BERT-based classification, entity tagging, pattern matching, and reranking achieves 84.47% exact-match accuracy on MSParS and 63.08% on the hard subset.