Papers › HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL...
HIE-SQL: History Information Enhanced Network for Context-Dependent Text-to-SQL Semantic Parsing
Anonymous
Recently, context-dependent text-to-SQL semantic parsing which translates natural language into SQL in an interaction process has attracted a lot of attentions. Previous works leverage context dependence information either from interaction history utterances or previous predicted queries but fail in taking advantage of both of them since of the mismatch between the natural language and logic-form SQL. In this work, we propose a History Information Enhanced text-to-SQL model (HIE-SQL) to exploit context dependence information from both history utterances and the last predicted SQL query. In view of the mismatch, we treat natural language and SQL as two modalities and propose a bimodal pre-trained model to bridge the gap between them. Besides, we design a schema-linking graph to enhance connections from utterances and the SQL query to database schema. We show our history information enhanced methods improve the performance of HIE-SQL by a significant margin, which achieves new state-of-the-art results on two context-dependent text-to-SQL benchmarks, the SparC and CoSQL datasets, at the writing time.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Dialogue State Tracking | CoSQL | HIE-SQL + GraPPa | interaction match accuracy | 24.6 | #3 of 9 | Archive leaderboard | report |
| Dialogue State Tracking | CoSQL | HIE-SQL + GraPPa | question match accuracy | 53.9 | #3 of 9 | Archive leaderboard | report |
| Text-To-SQL | SParC | HIE-SQL + GraPPa | interaction match accuracy | 42.9 | #3 of 7 | Archive leaderboard | report |
| Text-To-SQL | SParC | HIE-SQL + GraPPa | question match accuracy | 64.6 | #3 of 7 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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