Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
Table 4: Spider results on dev set and test set.
['[EMPTY]', 'Dev Set', 'Test Set']
Spider. Since each question is standalone, we don’t use interaction-level decoder or query editing. Our method can achieve the performance of 36.4% on dev set and 32.9% on test set, serving as a strong model for the context-independent cross-domain text-to-SQL generation. This demonstrates the effectiveness of our utterance-table encoder and table-aware decoder to handle the semantics of user utterances and the complexity of table schemas to generate complex SQL queries in unseen domains.