Papers by Zecheng Zhan
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation (P19-1)
Copied to clipboard
| Challenge: | IRNet synthesizes SQL queries in an end-to-end manner, but it yields unsatisfactory performance on public benchmarks. |
| Approach: | They propose a neural approach called IRNet for complex and cross-domain Text-to-SQL. |
| Outcome: | IRNet achieves 46.7% accuracy on the Spider benchmark, a 19.5% improvement over state-of-the-art approaches. |