Sentence Rewriting for Semantic Parsing

Bo Chen; Le Sun; Xianpei Han; Bo An

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arXiv · 1901.02998

Sentence Rewriting for Semantic Parsing

Bo Chen·Le Sun·Xianpei Han·Bo An

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Abstract

A major challenge of semantic parsing is the vocabulary mismatch problem between natural language and target ontology. In this paper, we propose a sentence rewriting based semantic parsing method, which can effectively resolve the mismatch problem by rewriting a sentence into a new form which has the same structure with its target logical form. Specifically, we propose two sentence-rewriting methods for two common types of mismatch: a dictionary-based method for 1-N mismatch and a template-based method for N-1 mismatch. We evaluate our entence rewriting based semantic parser on the benchmark semantic parsing dataset -- WEBQUESTIONS. Experimental results show that our system outperforms the base system with a 3.4% gain in F1, and generates logical forms more accurately and parses sentences more robustly.

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Bo Chen, Le Sun, Xianpei Han, Bo An. 2019-01-10. Sentence Rewriting for Semantic Parsing. https://arxiv.org/abs/1901.02998

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