Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. (arXiv:2209.14415v1 [cs.CL])

Most recent research on Text-to-SQL semantic parsing relies on either parser
itself or simple heuristic based approach to understand natural language query
(NLQ). When synthesizing a SQL query, there is no explicit semantic information
of NLQ available to the parser which leads to undesirable generalization
performance. In addition, without lexical-level fine-grained query
understanding, linking between query and database can only rely on fuzzy string
match which leads to suboptimal performance in real applications. In view of
this, in this paper …

arxiv fine-grained parsing query semantic sql text understanding