DocuT5: Seq2seq SQL Generation with Table Documentation. (arXiv:2211.06193v1 [cs.CL])

Current SQL generators based on pre-trained language models struggle to
answer complex questions requiring domain context or understanding fine-grained
table structure. Humans would deal with these unknowns by reasoning over the
documentation of the tables. Based on this hypothesis, we propose DocuT5, which
uses off-the-shelf language model architecture and injects knowledge from
external `documentation' to improve domain generalization. We perform
experiments on the Spider family of datasets that contain complex questions
that are cross-domain and multi-table. Specifically, we develop a …

arxiv documentation seq2seq sql table