X-SQL: reinforce schema representation with context
This work addresses the challenge of natural language to SQL conversion, which is important for database querying and human-computer interaction, though it appears incremental as it builds on existing BERT-style models and focuses on a specific dataset.
The authors tackled the problem of parsing natural language to SQL queries by proposing X-SQL, a new network architecture that enhances structural schema representation with contextual BERT-style outputs and type information, achieving new state-of-the-art performance on the WikiSQL dataset.
In this work, we present X-SQL, a new network architecture for the problem of parsing natural language to SQL query. X-SQL proposes to enhance the structural schema representation with the contextual output from BERT-style pre-training model, and together with type information to learn a new schema representation for down-stream tasks. We evaluated X-SQL on the WikiSQL dataset and show its new state-of-the-art performance.